What is the difference between a heuristic and a machine learning algorithm?
Machine learning algorithms and heuristics can often be mistaken for each other, but there are distinct differences between the two. Machine learning algorithms seek to replicate processes and patterns previously used to solve various types of problems and can remember these processes for future problem solving. Heuristics, on the other hand, are creative approaches that attempt to solve problems with novel solutions. An algorithm pre-defined by programmers relies on structured data such as numerical values, while a heuristic requires verbal instructions from users such as expressions or conditions that describe an ideal solution. Machine learning algorithms and heuristics both offer useful approaches to problem solving, but it’s important to understand the difference in order to properly apply them.
A heuristic is a type of problem-solving approach that involves using practical, trial-and-error methods to find solutions to problems. Heuristics are often used when it is not possible to use a more formal, systematic approach to solve a problem, and they can be useful for finding approximate solutions or identifying patterns in data.
A machine learning algorithm, on the other hand, is a type of computer program that is designed to learn from data and improve its performance over time. Machine learning algorithms use statistical techniques to analyze data and make predictions or decisions based on that analysis.
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There are several key differences between heuristics and machine learning algorithms:
Purpose: Heuristics are often used to find approximate or suboptimal solutions to problems, while machine learning algorithms are used to make accurate predictions or decisions based on data.
Data: Heuristics do not typically involve the use of data, while machine learning algorithms rely on data to learn and improve their performance.
Learning: Heuristics do not involve learning or improving over time, while machine learning algorithms are designed to learn and adapt based on the data they are given.
Complexity: Heuristics are often simpler and faster than machine learning algorithms, but they may not be as accurate or reliable. Machine learning algorithms can be more complex and time-consuming, but they may be more accurate and reliable as a result.
Overall, heuristics and machine learning algorithms are different approaches to solving problems and making decisions. Heuristics are often used for approximate or suboptimal solutions, while machine learning algorithms are used for more accurate and reliable predictions and decisions based on data.
Google Trend has the answer! Every month, millions of people turn to Google search to find out what everyone is talking about. According to Google Trend insights, January 2023 is all about the latest metamorphic technology and virtual entertainment. People are searching for new ways to stay connected with friends, work from home, and so much more. It’s quite remarkable how far we have come since the start of the century; even now, innovation continues unabated and shows no sign of stopping anytime soon!
Top Trends January 31th, 2023
The unemployment rate across the US and the EU in January 2023. The US average unemployment rate is 3.5%. The EU average unemployment rate is 6.1% 🇺🇸🇪🇺
What’s trending in January 2023: The unemployment rate across the US and the EU in January 2023. The US average unemployment rate is 3.5%. The EU average unemployment rate is 6.1%
What is the retirement age in Europe: Generally between 65 and 67.
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What is the Retirement age in America: Generally 67.
What is the Retirement age in Texas: 67.
What is the Retirement age in France: 62.
What is the Retirement age in California: 67.
Is $1.5 million enough to retire at 62? It depends on various factors such as your expected lifestyle, healthcare costs, inflation, and taxes. A general rule of thumb is to have savings equivalent to 80% of your pre-retirement income, which in this case would be around $60,000 per year. $1.5 million can provide this amount with a 4% withdrawal rate, but this may not be sufficient for everyone.
How much will I get a month if I retire at 62? The amount you will receive per month will depend on how you choose to receive your retirement benefits, such as through Social Security or through withdrawals from a savings account.
How much can I earn if I retire at 62 in 2023? Again, the amount you can earn in retirement will depend on various factors, including Social Security benefits, pension plans, and personal savings.
Why retire at 62? Retiring at 62 may be appealing to some people as it allows them to leave the workforce earlier and potentially enjoy a longer retirement. It is important to consider factors such as your financial situation, healthcare needs, and life expectancy before making a decision to retire.
How much is needed to retire at 62? The amount needed to retire at 62 depends on various factors such as lifestyle, healthcare costs, inflation, and taxes. A general rule of thumb is to have savings equivalent to 80% of your pre-retirement income. It is recommended to speak to a financial advisor for a personalized plan.
How old is Patrick Mahomes? Patrick Mahomes was born on September 17, 1995, so as of 2023 he is 27 years old.
Serbian tennis player, Novak Djokovic is a top trending person, spiking +450%, in the world over the past day as he won the 2023 Australian Open men’s singles.
After American actress Annie Wersching passed away on Sunday, she became a top trending person in the US over the past day. “annie wersching cancer type” is a top related search.
In the US, all of the other top ten trending topics are related to the NFL over the past day. San Francisco 49ers quarterback Brock Purdy spiked +950% in the same time period.
Jill Biden became a top trending person in the US as she appeared at the NFC Championship Eagles-49ers game on Sunday.
“school closings” spiked +2,200% over the past day in the US. The top state searching for this is Missouri, followed by Oklahoma and Michigan.
“pakistan mosque bombing” is a global top trending topic related to Pakistan over the past day.
Top trending questions about police reform, past week, worldwide
What would police reform look like? Police reform refers to changes and improvements made to the policies, training, and practices of law enforcement agencies with the aim of improving the relationship between the police and the communities they serve, increasing accountability and transparency, and reducing police violence.
How to support police reform?
There are several ways to support police reform. You can get involved in local advocacy groups, write to your elected officials, support organizations that promote reform, attend public meetings and protests, and educate yourself and others on the issues.
Why won’t police reform work? There are several reasons why police reform may not work, including resistance from law enforcement agencies, lack of political will, limited funding, and difficulty in implementing changes. Reform also requires buy-in and commitment from all stakeholders, including police departments, elected officials, and the public.
What is police reform? Police reform refers to the changes that are made to the way law enforcement agencies operate to improve their behavior and accountability towards the public. The aim of reform is to address issues of police misconduct, brutality, and discrimination and to improve relationships between law enforcement and the communities they serve.
What states have police reform? Several states have implemented police reform measures in recent years, including California, Colorado, Illinois, Massachusetts, Minnesota, New York, and others. The specifics of these reforms vary by state, but common reforms include changes to the use of force policies, hiring practices, and training programs.
“memphis police officer charged” was a breakout search in the US in the past day, after five officers were charged with the murder of Tyre Nicolas.
“kobe bryant” was a breakout search in the past day, Worldwide, after the third anniversary of his tragic death along with his daughter Gianna Bryant.
“teen wolf” was a breakout search in the past day Worldwide after the movie spinoff was released today. Jamaica is the top country searching for “teen wolf the movie”
“colon cancer” is a breakout search in the past day, Worldwide, after TikTok star Randy Gonzalez, 35, passes away from the disease. This news also comes amid studies that colorectal cancer rates are rising amongst younger people.
Searches for “when to check for colon cancer” and “what causes colon cancer in males” were up +200% in the past 7 days, Worldwide
Ireland is the top country searching for “Jenin refugee camp” in the past 7 days
Top questions on Jenin, Palestine in the past day, Worldwide
Where is Jenin? Palestinian city in the northern West Bank. It serves as the administrative center of the Jenin Governorate of the State of Palestine and is a major center for the surrounding towns.
Is Jenin Safe? Jenin is a city in the West Bank and the level of safety in the area can be influenced by the ongoing political and security situation in the region. It’s best to check current travel warnings and advice from local authorities and international organizations before traveling to Jenin or any other city in the West Bank. Additionally, it’s always recommended to exercise caution and be aware of your surroundings when traveling to any location
Is Jenin in the West Bank? Jenin is a city located in the northern part of the West Bank, in the Palestinian territories.
Rent and Housing
“rent burdened definition” is a breakout search in the US, past 7 days after Moody’s Analytics found that renters in the US now pay more than 30% of their median income for rent
Florida is the top state searching for Rent, 2004 – present
Top questions on affording rent, past day US
How much rent can I afford? The amount of rent you can afford depends on several factors such as your monthly income, credit score, employment history, and other debts and expenses you may have. A general rule of thumb is that your monthly housing expenses should not exceed 30% of your gross monthly income. This means that if you make $3,000 per month, you should aim to spend no more than $900 on rent and utilities. However, this is just a guideline and you should consider your individual financial situation and needs when determining how much you can afford to spend on rent.
How much mortgage can I afford? The amount of mortgage you can afford depends on several factors, including your income, monthly debts, credit score, and down payment. A general rule of thumb is to spend no more than 28% of your gross monthly income on housing expenses, including mortgage payments, insurance, and property taxes. However, the best way to determine how much mortgage you can afford is to speak with a lender and get pre-approved for a loan. They will take into account your specific financial situation and provide you with a more accurate estimate.
How much rent can I afford on 40k salary? The amount of rent you can afford on a 40k salary can vary based on several factors, such as the cost of living in your area, your monthly expenses, and your desired level of savings. Generally, it’s recommended to spend no more than 30% of your gross monthly income on housing. For a 40k salary, that would be $1,000-$1,200 per month for rent. However, it’s important to take into account other expenses such as utilities, groceries, transportation, and insurance to determine the most realistic amount you can afford for rent. It may also be helpful to have a savings cushion for emergencies and unexpected expenses.
How much rent can I afford making 18k? As a general rule of thumb, it is recommended to spend no more than 30% of your monthly income on housing expenses, including rent, utilities, and any other housing-related expenses.
Based on this rule, if you earn $18,000 per year, your monthly income would be $1,500. Therefore, you could afford to spend about $450 per month on rent.
Keep in mind that this is a general guideline, and other factors, such as your location, the cost of living, and your personal financial situation, can affect how much rent you can afford. It is always advisable to also consider your monthly expenses, such as food, transportation, and other bills, when determining your budget for housing expenses.
How to calculate how much rent you can afford? To calculate how much rent you can afford, follow these steps:
Determine your monthly net income: Subtract your monthly expenses from your monthly income, including taxes, insurance, and other deductions.
Calculate your debt-to-income ratio (DTI): Divide your monthly debt payments by your monthly net income. A general guideline is to keep your DTI under 40%.
Consider other expenses: Don’t forget to factor in utilities, transportation costs, and other monthly expenses when determining how much rent you can afford.
Set a budget: Based on your DTI and monthly expenses, set a budget for your monthly rent payment. A good rule of thumb is to spend no more than 30% of your monthly net income on housing.
Adjust as needed: If your rent budget is higher than what you can afford, consider finding a roommate, reducing your other expenses, or finding a less expensive housing option.
Bond girl was a breakout search in the US in the past day related to the Academy Award-nominated actress Michelle Yeoh. Yeoh is the first Malaysian actress to receive a nomination for the Academy Award for Best Actress for her role in Everything Everywhere All at Once.
“tiktok mascara meaning” was a breakout search in the past day in the US related to the popular TikTok hashtag
“how much does an abrams tank cost” was a breakout search in the past day in the US after President Biden announced he will be sending the Ukrainian army the tanks. M88 Recovery Vehicle was also a breakout search yesterday in the US as they are included in the White House’s Ukraine package.
When did Russia invade Ukraine? On 24 February 2022, Russia invaded Ukraine in a major escalation of the Russo-Ukrainian War, which began in 2014. The invasion has caused tens of thousands of deaths on both sides and Europe’s largest refugee crisis since World War II.
Why did Russia invade Ukraine? On 24 February 2022, Russia launched a military invasion of Ukraine in a steep escalation of the Russo-Ukrainian War. The campaign had been preceded by a Russian military buildup since early 2021 and numerous Russian demands for security measures and legal prohibitions against Ukraine joining NATO.
“half moon bay” and “mushroom farm” were breakout searches in California this past week in the aftermath of the mass shooting that took place at a mushroom farm in the city of Half Moon Bay, CA
“gun reform meaning” was a breakout search in California in the last 7 days after multiple mass shootings occurred in the state in the past week.
“ronald reagan gun laws” was a breakout search in the past day in the United States. The 1967 Mulford Act was signed into effect by then-Governor Ronald Reagan and prohibited the public carrying of loaded firearms without a permit.
Top questions on Gun control, past week, California
What state has the strictest gun laws? California has some of the strictest gun laws in the United States. These laws include a ban on assault weapons, a 10-day waiting period for firearm purchases, and a requirement for background checks for all firearms sales and transfers.
What are the gun laws in California 2022? California has some of the strictest gun laws in the United States. In 2022, California’s gun laws include: -A waiting period of 10 days for all firearm purchases -A ban on assault weapons -A requirement for all firearm transactions to go through a licensed dealer -A requirement for background checks for all firearm purchases -A requirement for all firearm owners to have a Firearm Safety Certificate -Restrictions on the possession of large capacity ammunition magazines -A “red flag” law that allows for the temporary removal of firearms from individuals deemed to be a danger to themselves or others -A process to remove firearms from individuals convicted of certain crimes or placed under certain restraining orders -A process for voluntarily surrendering firearms to law enforcement agencies.
When was the constitution written? The United States Constitution was written in 1787.
What is gun control? Gun reform refers to changes or adjustments to laws and regulations related to the possession, sale, and use of firearms. This can include measures such as background checks, waiting periods, and limits on certain types of weapons or accessories. The goal of gun reform is to reduce the incidence of gun violence and improve public safety.
What is gun reform? Gun reform refers to changes or proposed changes to laws and regulations related to firearms and their ownership. This can include measures such as background checks, waiting periods, limits on certain types of weapons or accessories, and increased penalties for crimes committed with firearms. The goal of gun reform is generally to reduce the number of deaths and injuries caused by firearms.
Top Trends January 25th, 2023
Panic! At The Disco was the top trending topic related to Breakup after the pop rock band announced that its next tour would be its last, past day, US
“tornado watch” was a breakout search, past day, US, after weather forecasters issued a warning about a developing storm to parts of the Gulf Coast on Tuesday. It was most searched in Texas
“oscar nominations 2023” was the top trending topic, past day, worldwide, after the nominees were announced on Tuesday morning. See yesterday’s special Oscars newsletter for more Academy Awards-related trends
“ind vs nz” was the top trending sports game worldwide after a Tuesday cricket match, past day, worldwide. It was most searched in India, Nepal and Sri Lanka
Earth’s inner core was a breakout search and was searched in every US state, past day, US, following the publication of a new study, which describes potential changes the Earth’s inner core’s rotation
World Population
“most populated country” was a worldwide breakout search in the past week. It was most searched in India, followed by Nepal and the United Arab Emirates
Search interest in Birth Rate hit a five year-high in 2022, past five years, worldwide
Japan and Prime Minister of Japan were two of the top trending topics related to the Birth Rate, past week, worldwide
Top questions about Population, past week, worldwide:
What is the population of India? 1,375,586,000 as 0f 2023
What country has the highest population? China
What is the population of China? 1,411,750,000
Top “birth rate in” searches, past week, worldwide:
Birth rate in India: The birth rate in India is currently around 20 births per 1,000 people. However, this rate has been decreasing in recent years due to factors such as increased access to education and family planning resources.
Birth rate in US: The birth rate in the United States has been on a decline in recent years. In 2020, the birth rate in the United States was 13.5 births per 1,000 total population, which is the lowest it has been in the country’s history. This decline in the birth rate can be attributed to a variety of factors, including economic uncertainty, delays in starting families, and changes in cultural attitudes towards having children.
Birth rate in Japan: The birth rate in Japan has been declining for several decades. In 2020, the birth rate in Japan was 7.9 births per 1,000 population. This is significantly lower than the replacement rate of 2.1 children per woman, which is the number of children needed to maintain a stable population. Factors contributing to the low birth rate in Japan include a lack of affordable childcare, a lack of support for working mothers, and a cultural preference for small families.
Birth rate in China: The birth rate in China has been decreasing in recent years due to the country’s one-child policy and increasing urbanization. The policy, which was implemented in 1979 and officially ended in 2015, limited most urban couples to one child and many rural couples to two children. As a result, the birth rate in China has been below the replacement level for some time. However, the Chinese government has recently loosened its population control policies, allowing couples to have two children. But the decrease in birth rate remains a concern.
Birth rate in Canada: The birth rate in Canada is around 10 births per 1,000 people. This is considered a low birth rate compared to other countries. Factors that contribute to this include access to birth control and family planning, as well as economic and social factors such as the high cost of raising children and women’s increasing participation in the workforce.
Advanced Placement
Advanced Placement was searched in every US state in the past day. It was most searched in Georgia, followed by New Jersey and Florida
In 2022, AP Computer Science Principles was searched two times more than AP Computer Science for the first time ever. AP Computer Science Principles also saw a huge spike last year, reaching an all-time high in terms of search interest
The San Francisco 49ers are the top trending topic in the world following their playoff defeat of the Dallas Cowboys and Brock Purdy is the top trending topic in the US, past day
Search interest in “maya rudolph m&m” is more than twice that of both “blue m&m” and “red m&m” following news that actress Maya Rudolph will be a spokesperson for M&Ms, past day, US
Washington DC, followed by California and New York are the top US states searching for “oscar nominations” following the release of the nominations, past four hours:
Best Picture
Top Gun: Maverick
Tom Cruise, Jerry Bruckheimer, Christopher McQuarrie, …
Women Talking
Frances McDormand, Dede Gardner, Jeremy Kleiner
Everything Everywhere All at Once
Daniel Kwan, Daniel Scheinert, Jonathan Wang
The Banshees of Inisherin
Martin McDonagh, Graham Broadbent, Peter Czernin
Triangle of Sadness
Erik Hemmendorff, Philippe Bober
The Fabelmans
Steven Spielberg, Tony Kushner, Kristie Macosko Krieger
All Quiet on the Western Front
Malte Grunert
Avatar: The Way of Water
James Cameron, Jon Landau
Elvis
Baz Luhrmann, Catherine Martin, Gail Berman, …
Tár
Todd Field, Alexandra Milchan, Scott Lambert
ACTOR IN A SUPPORTING ROLE
NOMINEES
BRENDAN GLEESON
The Banshees of Inisherin
BRIAN TYREE HENRY
Causeway
JUDD HIRSCH
The Fabelmans
BARRY KEOGHAN
The Banshees of Inisherin
KE HUY QUAN
Everything Everywhere All at Once
ACTRESS IN A LEADING ROLE
NOMINEES
CATE BLANCHETT
Tár
ANA DE ARMAS
Blonde
ANDREA RISEBOROUGH
To Leslie
MICHELLE WILLIAMS
The Fabelmans
MICHELLE YEOH
Everything Everywhere All at Once
ACTRESS IN A SUPPORTING ROLE
NOMINEES
ANGELA BASSETT
Black Panther: Wakanda Forever
HONG CHAU
The Whale
KERRY CONDON
The Banshees of Inisherin
JAMIE LEE CURTIS
Everything Everywhere All at Once
STEPHANIE HSU
Everything Everywhere All at Once
ANIMATED FEATURE FILM
NOMINEES
GUILLERMO DEL TORO’S PINOCCHIO
Guillermo del Toro, Mark Gustafson, Gary Ungar and Alex Bulkley
MARCEL THE SHELL WITH SHOES ON
Dean Fleischer Camp, Elisabeth Holm, Andrew Goldman, Caroline Kaplan and Paul Mezey
PUSS IN BOOTS: THE LAST WISH
Joel Crawford and Mark Swift
THE SEA BEAST
Chris Williams and Jed Schlanger
TURNING RED
Domee Shi and Lindsey Collins
CINEMATOGRAPHY
NOMINEES
ALL QUIET ON THE WESTERN FRONT
James Friend
BARDO, FALSE CHRONICLE OF A HANDFUL OF TRUTHS
Darius Khondji
ELVIS
Mandy Walker
EMPIRE OF LIGHT
Roger Deakins
TÁR
Florian Hoffmeister
COSTUME DESIGN
NOMINEES
BABYLON
Mary Zophres
BLACK PANTHER: WAKANDA FOREVER
Ruth Carter
ELVIS
Catherine Martin
EVERYTHING EVERYWHERE ALL AT ONCE
Shirley Kurata
MRS. HARRIS GOES TO PARIS
Jenny Beavan
DIRECTING
NOMINEES
THE BANSHEES OF INISHERIN
Martin McDonagh
EVERYTHING EVERYWHERE ALL AT ONCE
Daniel Kwan and Daniel Scheinert
THE FABELMANS
Steven Spielberg
TÁR
Todd Field
TRIANGLE OF SADNESS
Ruben Östlund
DOCUMENTARY FEATURE FILM
NOMINEES
ALL THAT BREATHES
Shaunak Sen, Aman Mann and Teddy Leifer
ALL THE BEAUTY AND THE BLOODSHED
Laura Poitras, Howard Gertler, John Lyons, Nan Goldin and Yoni Golijov
FIRE OF LOVE
Sara Dosa, Shane Boris and Ina Fichman
A HOUSE MADE OF SPLINTERS
Simon Lereng Wilmont and Monica Hellström
NAVALNY
Daniel Roher, Odessa Rae, Diane Becker, Melanie Miller and Shane Boris
DOCUMENTARY SHORT FILM
NOMINEES
THE ELEPHANT WHISPERERS
Kartiki Gonsalves and Guneet Monga
HAULOUT
Evgenia Arbugaeva and Maxim Arbugaev
HOW DO YOU MEASURE A YEAR?
Jay Rosenblatt
THE MARTHA MITCHELL EFFECT
Anne Alvergue and Beth Levison
STRANGER AT THE GATE
Joshua Seftel and Conall Jones
FILM EDITING
NOMINEES
THE BANSHEES OF INISHERIN
Mikkel E.G. Nielsen
ELVIS
Matt Villa and Jonathan Redmond
EVERYTHING EVERYWHERE ALL AT ONCE
Paul Rogers
TÁR
Monika Willi
TOP GUN: MAVERICK
Eddie Hamilton
INTERNATIONAL FEATURE FILM
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Germany
ARGENTINA, 1985
Argentina
CLOSE
Belgium
EO
Poland
THE QUIET GIRL
Ireland
MAKEUP AND HAIRSTYLING
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Heike Merker and Linda Eisenhamerová
THE BATMAN
Naomi Donne, Mike Marino and Mike Fontaine
BLACK PANTHER: WAKANDA FOREVER
Camille Friend and Joel Harlow
ELVIS
Mark Coulier, Jason Baird and Aldo Signoretti
THE WHALE
Adrien Morot, Judy Chin and Anne Marie Bradley
MUSIC (ORIGINAL SCORE)
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Volker Bertelmann
BABYLON
Justin Hurwitz
THE BANSHEES OF INISHERIN
Carter Burwell
EVERYTHING EVERYWHERE ALL AT ONCE
Son Lux
THE FABELMANS
John Williams
MUSIC (ORIGINAL SONG)
NOMINEES
APPLAUSE
from Tell It like a Woman; Music and Lyric by Diane Warren
HOLD MY HAND
from Top Gun: Maverick; Music and Lyric by Lady Gaga and BloodPop
LIFT ME UP
from Black Panther: Wakanda Forever; Music by Tems, Rihanna, Ryan Coogler and Ludwig Goransson; Lyric by Tems and Ryan Coogler
NAATU NAATU
from RRR; Music by M.M. Keeravaani; Lyric by Chandrabose
THIS IS A LIFE
from Everything Everywhere All at Once; Music by Ryan Lott, David Byrne and Mitski; Lyric by Ryan Lott and David Byrne
BEST PICTURE
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Malte Grunert, Producer
AVATAR: THE WAY OF WATER
James Cameron and Jon Landau, Producers
THE BANSHEES OF INISHERIN
Graham Broadbent, Pete Czernin and Martin McDonagh, Producers
ELVIS
Baz Luhrmann, Catherine Martin, Gail Berman, Patrick McCormick and Schuyler Weiss, Producers
EVERYTHING EVERYWHERE ALL AT ONCE
Daniel Kwan, Daniel Scheinert and Jonathan Wang, Producers
THE FABELMANS
Kristie Macosko Krieger, Steven Spielberg and Tony Kushner, Producers
TÁR
Todd Field, Alexandra Milchan and Scott Lambert, Producers
TOP GUN: MAVERICK
Tom Cruise, Christopher McQuarrie, David Ellison and Jerry Bruckheimer, Producers
TRIANGLE OF SADNESS
Erik Hemmendorff and Philippe Bober, Producers
WOMEN TALKING
Dede Gardner, Jeremy Kleiner and Frances McDormand, Producers
PRODUCTION DESIGN
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Production Design: Christian M. Goldbeck; Set Decoration: Ernestine Hipper
AVATAR: THE WAY OF WATER
Production Design: Dylan Cole and Ben Procter; Set Decoration: Vanessa Cole
BABYLON
Production Design: Florencia Martin; Set Decoration: Anthony Carlino
ELVIS
Production Design: Catherine Martin and Karen Murphy; Set Decoration: Bev Dunn
THE FABELMANS
Production Design: Rick Carter; Set Decoration: Karen O’Hara
SHORT FILM (ANIMATED)
NOMINEES
THE BOY, THE MOLE, THE FOX AND THE HORSE
Charlie Mackesy and Matthew Freud
THE FLYING SAILOR
Amanda Forbis and Wendy Tilby
ICE MERCHANTS
João Gonzalez and Bruno Caetano
MY YEAR OF DICKS
Sara Gunnarsdóttir and Pamela Ribon
AN OSTRICH TOLD ME THE WORLD IS FAKE AND I THINK I BELIEVE IT
Lachlan Pendragon
SHORT FILM (LIVE ACTION)
NOMINEES
AN IRISH GOODBYE
Tom Berkeley and Ross White
IVALU
Anders Walter and Rebecca Pruzan
LE PUPILLE
Alice Rohrwacher and Alfonso Cuarón
NIGHT RIDE
Eirik Tveiten and Gaute Lid Larssen
THE RED SUITCASE
Cyrus Neshvad
SOUND
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Viktor Prášil, Frank Kruse, Markus Stemler, Lars Ginzel and Stefan Korte
AVATAR: THE WAY OF WATER
Julian Howarth, Gwendolyn Yates Whittle, Dick Bernstein, Christopher Boyes, Gary Summers and Michael Hedges
THE BATMAN
Stuart Wilson, William Files, Douglas Murray and Andy Nelson
ELVIS
David Lee, Wayne Pashley, Andy Nelson and Michael Keller
TOP GUN: MAVERICK
Mark Weingarten, James H. Mather, Al Nelson, Chris Burdon and Mark Taylor
VISUAL EFFECTS
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Frank Petzold, Viktor Müller, Markus Frank and Kamil Jafar
AVATAR: THE WAY OF WATER
Joe Letteri, Richard Baneham, Eric Saindon and Daniel Barrett
THE BATMAN
Dan Lemmon, Russell Earl, Anders Langlands and Dominic Tuohy
BLACK PANTHER: WAKANDA FOREVER
Geoffrey Baumann, Craig Hammack, R. Christopher White and Dan Sudick
TOP GUN: MAVERICK
Ryan Tudhope, Seth Hill, Bryan Litson and Scott R. Fisher
WRITING (ADAPTED SCREENPLAY)
NOMINEES
ALL QUIET ON THE WESTERN FRONT
Screenplay – Edward Berger, Lesley Paterson & Ian Stokell
GLASS ONION: A KNIVES OUT MYSTERY
Written by Rian Johnson
LIVING
Written by Kazuo Ishiguro
TOP GUN: MAVERICK
Screenplay by Ehren Kruger and Eric Warren Singer and Christopher McQuarrie; Story by Peter Craig and Justin Marks
“how many countries celebrate lunar new year” +3,800% and “lunar new year video for kids” is up +2,550%, past day, worldwide: Many countries in East and Southeast Asia, including China, Vietnam, Korea, and Singapore, celebrate Lunar New Year. Other countries with significant Asian populations, such as Malaysia, Indonesia, and the Philippines, also observe the holiday. In addition, some countries in the West also celebrate Lunar New Year, such as the United States, Canada, and Australia.
Global search interest in “love character test” tripled, past day, since its popularity on TikTok
Search interest in “snow day calculator” increased fivefold, past day, US. The top state searching for this is Maine.
Mycology is a top trending topic related to The Last of US, TV series, past day, worldwide.
Eat a balanced diet: Include a variety of fruits, vegetables, whole grains, and lean proteins in your diet. Avoid processed foods and added sugars, which can disrupt the balance of gut bacteria.
Take probiotics: Probiotics are live microorganisms that can help to maintain a healthy balance of gut bacteria. They can be found in supplements, fermented foods such as yogurt, kefir, sauerkraut and kimchi, and in some non-fermented foods like pickles.
Consume prebiotics: Prebiotics are non-digestible carbohydrates that act as food for probiotics. They can be found in foods such as bananas, onions, garlic, leeks, asparagus, and oats.
Stay hydrated: Drinking enough water can help to keep your digestion regular and prevent constipation.
Exercise regularly: Physical activity can help to stimulate the movement of food through the gut, promoting healthy digestion.
Manage stress: Chronic stress can disrupt the balance of gut bacteria and contribute to digestive issues. Find ways to manage stress, such as through exercise, yoga, or meditation.
Avoid antibiotics: Antibiotics can kill off both bad and good bacteria in the gut, disrupting the balance of gut microbiome. Be sure to only take antibiotics when it is necessary and as prescribed by a healthcare professional.
It’s also worth noting that everyone’s gut health is different, it’s important to experiment and find what works best for you. Always consult with a healthcare professional if you have any concerns about your gut health.
More than ever before are Americans searching for “fermented food” in January 2023.
Do probiotics Stop diarrhea? Probiotics have been shown to be effective in reducing the duration and severity of diarrhea caused by certain types of infections, such as those caused by bacteria or viruses. However, it’s important to note that probiotics are not effective for all types of diarrhea, such as that caused by certain medications or underlying medical conditions. It’s also important to consult with a healthcare provider before taking probiotics, especially if you have a weakened immune system or a chronic medical condition.
Do probiotics Cause acne? There is currently limited scientific evidence to support the claim that probiotics cause acne. While some studies have suggested a possible link between probiotics and acne, the results are not conclusive and more research is needed to determine a definitive cause-and-effect relationship. It’s also important to note that individual factors, such as diet, genetics, and skin care regimen, can also play a role in the development of acne. That being said, if you have a history of acne and are considering taking probiotics, it may be a good idea to consult with a healthcare provider or a dermatologist first.
Do probiotics Help with infections? Probiotics have been shown to be beneficial in the prevention and treatment of certain types of infections, particularly those that affect the digestive tract. For example, probiotics may help to prevent and treat diarrhea caused by bacterial or viral infections. They may also help to reduce the risk of urinary tract infections, and can improve symptoms of inflammatory bowel disease. Probiotics may also help to improve the balance of the gut microbiome which can help to boost the immune system and decrease the chance of infection. However, it’s important to note that probiotics are not effective for all types of infections, and it’s always best to consult with a healthcare provider before taking probiotics, especially if you are currently experiencing an infection or have a weakened immune system.
Do probiotics Cause bloating? Probiotics have been known to cause bloating and gas in some people, especially when they first start taking them. This is because probiotics may increase the production of gas in the gut as they ferment undigested food. However, these side effects are usually temporary and should subside within a few days to a week. It’s also worth noting that some people may be more sensitive to certain strains of probiotics than others, so it may be helpful to try different types of probiotics to see which one works best for you. If you are experiencing severe or persistent bloating, it is always best to consult with a healthcare provider to rule out other underlying causes.
Do probiotics Help acne? There is some evidence that suggests that probiotics may help to improve acne by regulating the balance of bacteria in the gut and reducing inflammation. Studies have shown that people with acne tend to have a less diverse gut microbiome compared to those without acne. By taking probiotics, it can help to restore the balance of gut bacteria and reduce inflammation which can help to improve acne symptoms. However, it’s important to note that research in this area is still ongoing and more studies are needed to fully understand the relationship between probiotics and acne. Also, it’s worth noting that probiotics may work differently for different people, what works for one person may not work for another, so it’s always best to consult with a healthcare provider before taking any new supplement.
Trending “does… help gut health” past week, US
Does Collagen help gut health? Collagen is a protein that is found in the body and is known to play a role in supporting the health of the skin, joints, bones, and tendons. Some studies suggest that consuming collagen supplements may also help to support gut health by strengthening the gut lining, which can help to prevent leaky gut syndrome and other gut-related issues. However, more research is needed to fully understand the potential benefits of collagen for gut health.
Does Kefir help gut health?
Kefir is a fermented milk drink that has been traditionally used in Eastern Europe and Central Asia. It is made by fermenting milk with kefir grains, which are a combination of lactic acid bacteria and yeasts. Due to the fermentation process, Kefir is a probiotic-rich food, which means it contains beneficial microorganisms that can help to promote a healthy gut.
Research has shown that consuming kefir can help to improve the balance of gut bacteria, which can in turn improve gut health and boost the immune system. It has been found to help with diarrhea, constipation, IBS, and other digestive issues. It also has been found to have anti-inflammatory properties, which can help to reduce gut inflammation.
It’s worth noting that kefir is generally well tolerated, but as with any food, some people may be allergic or intolerant to the milk used to make it.
Does Magnesium help gut health?
Magnesium is an essential mineral that plays a role in many bodily functions, including muscle and nerve function, and the regulation of the heart’s rhythm. Some studies suggest that magnesium may also play a role in supporting gut health.
Magnesium has been found to have a relaxing effect on the muscles of the gut, which can help to ease symptoms of constipation and diarrhea. It also plays a role in maintaining the integrity of the gut lining, which can help to prevent leaky gut syndrome and other gut-related issues. Additionally, magnesium can help to regulate the activity of the immune system, which can help to reduce inflammation in the gut.
However, It is worth noting that not all forms of magnesium are easily absorbed by the body, and people with gut issues or malabsorption may have trouble getting enough magnesium from food or supplements.
It is always best to consult with a healthcare professional before starting any supplement regimen.
Does Apple cider vinegar help gut health?
Apple cider vinegar (ACV) is a popular natural remedy that is claimed to have many health benefits, including supporting gut health. ACV is made by fermenting apples, which gives it many of the same properties as other fermented foods, such as kefir.
Some research suggests that consuming ACV may help to improve the balance of gut bacteria, which can in turn improve gut health. It may also help to reduce inflammation in the gut, which can be beneficial for people with inflammatory bowel disease (IBD) or other gut issues.
ACV may also help to ease symptoms of constipation and diarrhea, and it has been found to have anti-inflammatory properties, which can help to reduce gut inflammation.
It’s worth noting that while ACV is generally considered safe, consuming too much of it can be harmful and lead to side effects such as throat burns, nausea, and tooth erosion. It’s best to consume it in moderate amounts and dilute it with water before consuming it.
It is also important to note that while there is some research suggesting that ACV may have health benefits, more research is needed to fully understand its effects on gut health, and it should not be used as a substitute for any medical treatment or medication.
Does Coconut oil help gut health?
Coconut oil is a popular natural remedy that is claimed to have many health benefits, including supporting gut health.
Coconut oil is high in medium-chain triglycerides (MCTs), which are a type of saturated fat that is easily digested and absorbed by the body. MCTs have been found to have a beneficial effect on gut health by promoting the growth of beneficial bacteria in the gut, which can improve the balance of gut bacteria.
Coconut oil has also been found to have anti-inflammatory properties, which can help to reduce inflammation in the gut, which is beneficial for people with inflammatory bowel disease (IBD) or other gut issues.
Additionally, Coconut oil has also been found to have a beneficial effect on the digestive system. It can help to ease symptoms of constipation and diarrhea, and it can also help to improve gut motility, which is the ability of the gut to move food through the digestive tract.
However, it’s worth noting that not all the research on coconut oil’s effects on gut health are conclusive, and more research is needed to fully understand its effects. Also, people who are sensitive to coconut oil or have a history of allergies should be cautious when consuming it, and it’s best to consult with a healthcare professional before starting any supplement regimen.
Revenge Songs
Over the past week, the top searched people worldwide are “Shakira”, “Pique” and “clara chia”
People searching for Jam over the past week in the US are also searching for Shakira after the singer hinted a half-eaten jar of jam led her to suspect infidelity.
The top trending “flowers” and “sample” searched this week are related to Miley’s new song.
Searches for Bruno Mars increased by +2,250% over the past week after Miley referenced one of his songs in her new single with “bruno mars response to flowers” as a breakout search.
Late night thoughts keeping you awake? Searches for cheating in a relationship peak between 3-6 AM EST in the US.
Trending “who is… about” past 12 months, US
Who is Vigilante Sh*t?
Who is Candle in the Wind? “Candle in the Wind” is a song by British singer Elton John. The original version of the song was released in 1973 and was a tribute to Marilyn Monroe. In 1997, the song was re-released as “Candle in the Wind 1997” in tribute to Princess Diana, and this version became one of the best-selling singles of all time.
Depeche Mode’s Never Let Me Down Again is being searched over 100x more this week than last week in the US
Cordyceps is the top trending topic related to zombie, past day, US
“last of us zombie types” is up +550% and “clickers last of us” nearly doubled, past week, US
“last of us no spores” nearly doubled and “tendrils the last of us” nearly tripled, past week, US
“who are the fireflies the last of us” is a breakout search, past week, US
Top trending questions on fungus, past week, US
Can fungi control humans? No, fungi cannot control humans. Fungi are a type of organism that belong to the kingdom of fungi and include species such as yeasts, molds, and mushrooms. While some fungi can cause infections in humans, they do not have the ability to control or manipulate human behavior.
Can fungus take over your body?
While it is possible for certain types of fungus to infect and cause damage to the body, it is highly unlikely for a fungus to completely take over the body. The human body has a number of mechanisms in place to prevent the overgrowth of fungus, including the immune system, which helps to fight off infection.
Fungal infections can occur in various parts of the body such as the skin, nails, hair, and the respiratory, urinary and gastrointestinal tracts. Some fungal infections are limited to certain areas of the body and are treated with topical or oral antifungal medications, however, some fungal infections can be invasive and can affect internal organs and systems, causing serious illness.
Examples of invasive fungal infections include candidemia (a bloodstream infection caused by Candida), aspergillosis (caused by Aspergillus), and mucormycosis (caused by Mucor and Rhizopus) which can affect people with weakened immune systems. These types of fungal infections are usually treated with antifungal drugs and may require hospitalization.
It’s important to keep in mind that fungal infections are not contagious, they are usually caused by the overgrowth of already present fungus in the body. If you suspect you have a fungal infection, it’s important to see a healthcare professional for proper diagnosis and treatment.
Can fungi infect humans? Yes, certain types of fungi can infect humans and cause a variety of illnesses, ranging from mild skin infections to life-threatening systemic infections
Can fungus survive heat? Yes, some fungi can survive high temperatures, but their survival depends on the type of fungus and the specific conditions of heat exposure. Some fungi can tolerate temperatures as high as 60°C, while others can only survive up to 30°C. The ability of fungi to withstand heat can vary based on factors such as the species, growth conditions, and surrounding environment. In general, high heat can damage or kill many fungi, but some heat-resistant species can persist and continue to grow in these conditions.
How does the fungus spread in The Last of Us? In the video game “The Last of Us,” the fungus that caused the outbreak of the pandemic is known as the Cordyceps fungus. It infects insects and small mammals, taking control of their bodies, then uses them to spread its spores to other animals or humans. The fungus infects the brain and alters the behavior of the host, causing it to become violent and spread the fungus further. The fungus then grows and spreads throughout the body of the infected host, eventually killing them and producing new fungal spores.
Top trending questions related to the United States debt ceiling, past week, US
What is the US debt limit? What happens when we hit the debt ceiling? When the debt ceiling is reached, the government is unable to borrow any more money and is forced to limit its spending to the amount of money it is currently bringing in through revenue. This can lead to a government shutdown, as non-essential government services and programs will cease to be funded, and government employees may be furloughed. Additionally, the government will not be able to make payments on its debt, which could lead to a default. It is considered a serious issue, and in the past, raising the debt ceiling has been a contentious political issue.
Most searched “how much does the US spend on…”, past year, US
How much does the US spend on Military?
The United States spends a significant amount on its military. According to the Congressional Research Service, the U.S. spent an estimated $801 billion on national defense in fiscal year 2022, which includes all spending related to the military, including personnel, operations and maintenance, procurement, and research and development. This represents about 3.5% of the U.S. gross domestic product (GDP).
It’s worth noting that the U.S. military budget is one of the highest in the world, and it is significantly higher than the military spending of any other country. The U.S. military budget is larger than the combined military budgets of the next seven highest-spending countries, which include China, Russia, Saudi Arabia, India, France, the United Kingdom, and Germany.
It’s also worth noting that the amount of military spending can vary depending on the year and the current political climate. The budget is subject to change depending on the priorities of the government and the current events.
It’s important to note that the military budget is just a small part of the overall federal budget, which includes spending on a wide range of other programs such as education, healthcare, and social security.
How much does the US spend on Healthcare?
The United States spends a significant amount on healthcare. According to the Centers for Medicare and Medicaid Services (CMS), the U.S. spent an estimated $4.3 trillion on healthcare in 2022, which represents about 18% of the U.S. gross domestic product (GDP).
The U.S. healthcare spending is among the highest in the world, and it continues to grow each year. The high cost of healthcare in the United States can be attributed to a variety of factors, including an aging population, the high cost of prescription drugs, administrative costs and a high utilization of medical services.
It’s worth noting that the U.S. has a mixed system of healthcare, with a mix of public and private healthcare systems. The government funds programs such as Medicaid and Medicare, which provide healthcare coverage for low-income and older Americans, respectively. The majority of Americans receive their healthcare through private health insurance, which is provided by their employer or purchased individually.
It’s also worth noting that the U.S. healthcare system is complex, and the spending can vary depending on the state and the type of care. The U.S. healthcare spending is not only on health care services, but also on health care goods such as drugs, medical equipment and medical facilities.
It’s important to note that the healthcare spending is just a small part of the overall federal budget, which includes spending on a wide range of other programs such as education, military, and social security.
How much does the US spend on Education?
The United States spends a significant amount on education, but it varies depending on the level of education and the source of funding. According to the National Center for Education Statistics (NCES), the U.S. spent an estimated $1.5 trillion on education in 2022.
The U.S. federal government contributes a significant amount of funding for education, primarily through programs such as Title I and Individuals with Disabilities Education Act (IDEA), which provide funding to support disadvantaged students and students with special needs. State and local governments also contribute funding for education, primarily through property taxes.
The spending on education also varies depending on the level of education. The U.S. spend more on higher education than on primary and secondary education. According to the National Center for Education Statistics (NCES), in 2020, the U.S. spent $730 billion on elementary and secondary education and $567 billion on postsecondary education.
It’s worth noting that the U.S. education spending as a percentage of GDP is lower than most other developed countries. According to the Organization for Economic Cooperation and Development (OECD), the US spent about 4.6% of GDP on education in 2019, which is below the OECD average of 5.2%.
It’s important to note that the education spending is just a small part of the overall federal budget, which includes spending on a wide range of other programs such as healthcare, military, and social security.
How much does the US spend on Welfare? The United States government spends a significant amount of money on welfare programs aimed at assisting low-income individuals and families. The exact amount varies from year to year and depends on various factors, such as the state of the economy, the number of people in need of assistance, and the cost of living. In recent years, the total federal spending on welfare programs has been estimated to be in the hundreds of billions of dollars annually.
How much does the US spend on Prisons? As of 2021, the United States spends an estimated 80 billion dollars annually on its prison system. This amount covers various costs including construction and maintenance of prison facilities, staffing and employee salaries, and prisoner services such as medical care and rehabilitation programs. The cost of incarceration has risen dramatically in the US in recent decades, due to factors such as longer prison sentences, the War on Drugs, and increased spending on prison security measures.
Top Trends on January 17th, 2023
Martin Luther King Jr. ‘s IHave a Dream speech is the most searched speech of all-time in the US. The most searched MLK quote is “Injustice anywhere is a threat to justice everywhere.”
Top searched “what is…” related to tennis, past day, worldwide
What is break point in tennis? A break point in tennis refers to a point in a game where the receiving player has the opportunity to win the game by breaking their opponent’s serve. In other words, it is a point at which the serving player’s serve can be “broken” and the receiver can win the game. A break point occurs when the receiver is able to get to deuce (40-40) or advantage on the server’s side of the court. If the receiver wins the next point, they will have won the game. If the server wins the next point, the game will continue. Break point can be a crucial moment in a match, as it can change the momentum of the game and put the receiver in a strong position to win the set or match.
What is a set in tennis? A set in tennis is a unit of play that consists of several games. Typically, a set is won by the first player to win at least six games and be ahead by at least two games. In Grand Slam tournaments and many professional events, a set is usually the best of three or the best of five games. The winner of the match is the player who wins the most sets.
What is a tennis Grand Slam? A tennis Grand Slam refers to the four most prestigious annual events in the sport of tennis, namely the Australian Open, the French Open, Wimbledon, and the US Open. Winning all four events in a single calendar year is considered a Grand Slam, and is one of the greatest achievements in tennis.
What is an ace in tennis? An ace in tennis is a serve that lands in the opponent’s court and is not touched by the opponent, resulting in an immediate point for the serving player.
What is AD in tennis? AD in tennis refers to the term “advantage.” In tennis, the score is called “40-40” when both players have won three points each. When one player wins the next point, they are said to have the “advantage.” If the player who has the advantage wins the next point, they win the game. If the player who does not have the advantage wins the next point, the score is “deuce” and play continues until one player wins two consecutive points to win the game.
Ranked search interest in women’s singles players, past month, worldwide
In the United States, the federal government offers a tax credit for the purchase of new electric vehicles (EVs). The credit amount can vary depending on the make and model of the EV, and can range from $2,500 to $7,500. The credit begins to phase out once a manufacturer has sold 200,000 qualifying vehicles.
In Canada, the government offers a federal rebate of up to $5,000 for the purchase of new electric or hydrogen fuel cell vehicles, this rebate is non-refundable, so it can only be applied to reduce taxes payable to the government. The rebate also begins to phase out once a manufacturer has sold 2,500 units of the vehicle.
In Europe, the policies regarding EV tax credit vary from country to country. Some countries like Norway have a very generous EV purchase incentive with zero-emission vehicles being exempt from VAT, road tolls and other taxes, while other countries like France offer a bonus and malus system which rewards buyers of electric or hybrid vehicles with a discount on the purchase price while applying a surcharge on vehicles with high emissions.
It’s worth noting that these policies are subject to change depending on the government and regulations of each country. Before making a purchase, it’s always best to check the current policies and regulations in the country you’re in, to ensure you’re getting the most out of any available tax credit or rebate.
There are several reasons why your tax refund might be lower than expected in 2023. Some possible reasons include:
Your income has increased: If you earned more money in 2023, you may have moved into a higher tax bracket and paid more taxes.
Changes in deductions and credits: The Tax Cuts and Jobs Act of 2017 made significant changes to the tax code, including limiting certain deductions and credits, which may have affected your refund.
More taxes were withheld from your paychecks: The IRS encourages taxpayers to adjust their withholding so that they don’t get a large refund, but rather pay the right amount of taxes throughout the year, thus avoiding owing taxes or getting a refund. If you have adjusted your withholding, you may have paid more taxes throughout the year and therefore have a smaller refund.
You owe money to other government agencies: If you owe money for things like unpaid student loans or back taxes, your refund can be offset to pay those debts.
You made a mistake on your tax return: If you made a mistake on your tax return, it could result in a lower refund. Double-checking your return and seeking help from a tax professional or using tax software can help you avoid errors.
It’s important to note that receiving a smaller refund or owing taxes is not necessarily a bad thing, it means that you paid the right amount of taxes throughout the year and avoided overpaying the government.
In the United States, the traditional tax filing season usually starts on January 1st and ends on April 15th, 2023. However, due to the COVID-19 pandemic, the deadline was extended to May 17th, 2023. So, you can file your taxes between January 1st and May 17th, 2023.
It’s important to note that the deadline to file taxes may change in the future, and it’s always best to check with the Internal Revenue Service (IRS) or a tax professional for the most up-to-date information.
It’s also worth noting that even though the deadline to file taxes is April 15th, 2023, you can file for an extension if you need more time. An extension allows you to file your taxes up to October 15th, 2023. But even if you file an extension, any taxes due still need to be paid by the April 15th deadline to avoid penalties and interest.
When are taxes due in 2023? April 15th, 2023 (unless you request an extension)
What is a consumption tax?
A consumption tax is a type of indirect tax that is imposed on goods and services when they are purchased by consumers. The tax is typically added to the price of the goods or services, and the consumer pays the tax when they make the purchase. Consumption taxes are also known as sales taxes, value-added taxes (VAT), or goods and services taxes (GST).
The idea behind a consumption tax is that it is paid by the end consumer, rather than by the business or producer. It is considered to be a “regressive” tax, as it takes a larger percentage of income from low-income individuals than from high-income individuals.
In the United States, consumption taxes vary from state to state, with some states having no sales tax, while others have a high sales tax rate. Additionally, some localities within states may also impose their own consumption taxes.
It’s important to note that consumption taxes are not the same as income taxes, which are taxes imposed on the income earned by individuals and businesses. Income taxes are considered to be a “progressive” tax as the tax rate increases with the income level.
Is social security taxable?
In the United States, the taxation of Social Security benefits is determined by the recipient’s income and filing status. Social Security benefits can be subject to federal income tax if a recipient’s combined income exceeds certain thresholds. The combined income is calculated by adding together the recipient’s adjusted gross income, nontaxable interest, and half of their Social Security benefits.
For the tax year 2021, if the recipient’s combined income is less than $25,000 for an individual or $32,000 for a married couple filing jointly, their Social Security benefits will not be taxed. If the combined income is between $25,000 and $34,000 for an individual or between $32,000 and $44,000 for a married couple filing jointly, up to 50% of the Social Security benefits may be subject to federal income tax. If the combined income is more than $34,000 for an individual or more than $44,000 for a married couple filing jointly, up to 85% of the Social Security benefits may be subject to federal income tax.
In Canada, the Old Age Security (OAS) pension is not subject to tax on its own, however, if you have other income and it exceeds a certain amount, you may have to repay some or all of your OAS pension.
It’s important to check with a tax professional to determine if and how much of your Social Security benefits may be subject to federal income tax, as there are different rules and regulations that apply.
How much is the child tax credit for 2023?
Top trending “what is…” related to tax, past week, US
What is a national consumption tax?
A national consumption tax is a type of indirect tax that is imposed on goods and services consumed within a country. It is also known as a value-added tax (VAT) or a goods and services tax (GST). The idea behind a national consumption tax is to tax the final consumer, rather than the producers and sellers of goods and services.
The way a national consumption tax works is that businesses must register and collect the tax from consumers on behalf of the government. The tax is typically levied at a percentage of the retail price, and is usually included in the advertised price of goods and services. Businesses can claim back the tax they have paid on their inputs (goods and services they bought to produce their own goods and services) as a credit against the tax they collect. This is known as the credit-invoice method.
National consumption taxes are widely used around the world, with many countries levying VAT or GST on a wide range of goods and services. The rate of tax varies from country to country, and can range from 5% to 25% or more.
It’s worth noting that consumption tax is not universally accepted and there are arguments for and against it. The main argument for consumption taxes is that they are considered more efficient and less distortionary than other types of taxes. On the other hand, it could disproportionately affect lower income households, as they tend to spend a larger proportion of their income on consumption.
Tesla’s tax credit refers to the federal tax credit available in the United States for the purchase of certain electric vehicles (EVs), including those made by Tesla. The credit amount can vary depending on the make and model of the EV, and can range from $2,500 to $7,500.
The credit begins to phase out once a manufacturer has sold 200,000 qualifying vehicles. For Tesla, the full $7,500 credit began to phase out on January 1, 2020, and will be gradually reduced by 50% every six months until it reaches zero in 2022.
It’s worth noting that this is a federal tax credit and it’s not a refundable credit, meaning that it can only be applied to reduce taxes payable to the government. Additionally, the credit is only available to individuals who purchase the vehicle for personal use and not for business or commercial use. It’s also important to check with a tax professional to determine if and how much of the credit you may be eligible for, as there are different rules and regulations that apply.
What is a 1098-E form?
What is a federal tax credit?
Top trending tax credit, past week, US
Electric vehicle tax credits
Premium tax credit
Child tax credit
Working families tax credit
American opportunity tax credit
Air Travel • Inflation
Top Trends
Search interest in “tornado watch” spiked in the past day +1550% in the US as severe weather warnings are issued across the country. Georgia is the state most searching for tornado watches in the US.
Searches for “bacterial meningitis” spiked +2200% in the US after it was reported that guitarist Jeff Beck passed after contracting the illness
“date night ideas” hit an all-time high worldwide this January with the US and South Africa as the top countries searching for them. Pleasant and cheap are two of the top trending topics related to “date night ideas”
“faa” was a breakout search, past week, US, after a Federal Aviation Administration (FAA) system outage led to a temporary stoppage of thousands of domestic flights on Wednesday morning
“Is air travel back to normal?” was the top question on Air Travel, past week, US
“Pete buttigieg,” the United States Secretary of Transportation, was a breakout search, past week, US
Search interest in Flight cancellation and delayreached a five-year high in December of 2022 after scores of holiday travelers’ plans were upended amid a winter storm, past five years, US
The United States was the top country searching for Flight cancellation and delay, followed by Canada and Jamaica, past week, worldwide
Inflation
Searches for inflation reached a global all-time high in 2022
The top country searching for Inflation worldwide is Turkey in 2023
Top trending questions on “inflation rate”, past day, US
1. What is the current inflation rate? you can find the most recent inflation rate by consulting the Bureau of Labor Statistics or the Federal Reserve. They typically release updates on inflation on a regular basis.
The inflation rate can be calculated using the Consumer Price Index (CPI). The CPI is a measure of the average change over time in the prices paid by consumers for a basket of goods and services. To calculate the inflation rate, the following formula can be used:
Inflation rate = (CPI in current period – CPI in base period) / CPI in base period * 100
For example, if the CPI in the current period is 110 and the CPI in the base period is 100, the inflation rate would be (110 – 100) / 100 * 100 = 10%. This means that prices have increased by 10% over the base period.
It’s also worth noting that there’s different types of inflation measures, like the Producer Price Index (PPI) that measure the average change over time in the prices received by domestic producers for their output.
Inflation is the rate at which the general level of prices for goods and services is rising and subsequently, purchasing power is falling. It is measured as an annual percentage increase. Central banks and governments use different measures to calculate inflation, such as the Consumer Price Index (CPI) or the Producer Price Index (PPI).
Inflation occurs when there is an increase in the money supply and a decrease in the demand for goods and services. When the supply of money increases, the value of money decreases, and prices of goods and services go up. This decrease in purchasing power causes inflation.
Inflation can have both positive and negative effects on an economy and people. Moderate inflation can be a sign of a growing and healthy economy, as it can signal increased demand for goods and services. However, high and persistent inflation can lead to economic instability and can harm the purchasing power of people, particularly those on fixed incomes.
Central banks and governments use different tools to control and stabilize inflation. These tools include setting interest rates, adjusting money supply, and implementing fiscal policies such as taxation, government spending and regulations.
It’s worth noting that, while inflation is usually measured by the increase in the general price level, there are different types of inflation such as cost-push, demand-pull and built-in inflation each with different causes and effects on the economy.
Inflation is caused by an overall increase in the level of prices in an economy. There are several factors that can contribute to inflation, including:
Demand-pull inflation: This occurs when there is an increase in demand for goods and services that outpaces the growth in supply. This can lead to higher prices as businesses try to meet the increased demand.
Cost-push inflation: This occurs when the cost of production increases, such as an increase in the cost of raw materials or wages. Businesses will pass these increased costs onto consumers in the form of higher prices.
Monetarism: This occurs when there is an increase in the money supply that outpaces the growth in the economy. This can lead to more money chasing the same amount of goods, driving up prices.
Built-in inflation: This is the increase in prices that is built into the economy due to past inflation. Businesses and workers may expect prices to rise, and therefore increase wages and prices to keep pace with inflation.
Structural inflation: This occurs when there is a mismatch between supply and demand due to structural changes in the economy. For example, a natural disaster that disrupts production or a sudden increase in the price of oil can lead to inflation.
It’s worth noting that inflation can be caused by a combination of different factors and can also vary in different countries and regions.
What does spare mean to Prince Harry? Prince Harry nods to the old adage, “an heir and spare” referring to the tradition of aristocratic families having at least two children; first “an heir” to the title and then a “spare” to bolster the family line, just in case
Trending types of loan calculators, past 7 days, US
Consolidating student loans can be a good option for some borrowers, but it may not be the best choice for everyone. Here are a few things to consider when deciding whether to consolidate your student loans:
Interest rates: If you have multiple student loans with different interest rates, consolidating them into a single loan may lower your overall interest rate. This can help you save money on interest over the life of the loan.
Repayment terms: Consolidating your student loans may also allow you to extend your repayment term, which can lower your monthly payments. However, keep in mind that this will also increase the total amount of interest you pay over the life of the loan.
Eligibility: Not all student loans are eligible for consolidation, so it’s important to check with your loan servicer to see if your loans qualify.
Flexibility: Consolidating your student loans may limit your options for loan forgiveness or income-driven repayment plans. It’s important to weigh these options and see what works best for you.
Fees: Consolidation may come with fees, it’s important to weigh the benefits of consolidation against the cost of the fees.
It’s also worth noting that consolidation may also have negative effects on your credit score, so it’s recommended to consult with a financial advisor or loan servicer before making a decision.
Shakira and Bizarrap collaborate on an explosive new song, leading their music session to become the top trending “lyrics” over the past day in the US.
Searches for “Naomi Osaka” climbed by +1,750% in the US after the tennis star announced her pregnancy.
Tatjana Patitz, a 90s supermodel who appeared in George Michael’s iconic “Freedom! ’90” music video, passed away at 56. Over the past day, her native Germany hads the highest search interest in the supermodel, followed by Austria and Luxembourg.
British rock guitarist, Jeff Beck dies at 78. Across the globe, he was searched most in his native United Kingdom, followed by the United States and Canada over the past day. In that same time frame, “blow by blow” became his top trending album and “freeway jam” his top trending song worldwide.
The Mega Millions prize money reached its second highest jackpot ever this week. Over the past day, Wisconsin became the state with the highest search interest in Mega Millions, followed by New Hampshire and Delaware.
Consumer Debt
Over the past 7 days, Americans are searching for credit card debt 1.5x more than student debt.
Global search interest in FA Cup spikes annually in January. Uganda is the country with the highest search interest since the 2022-2023 tournament began in August 2022
The Mediterranean diet is a dietary pattern that is rich in fruits, vegetables, whole grains, lean protein, and healthy fats, and it has been shown to be beneficial for people with arthritis.
Some specific foods and nutrients that may be particularly beneficial for people with arthritis include:
Fish: Fish such as salmon, tuna, and sardines are rich in omega-3 fatty acids, which have anti-inflammatory properties.
Fruits and vegetables: Fruits and vegetables are rich in antioxidants, which can help to reduce inflammation. Some particularly good options include berries, tomatoes, leafy greens, and cruciferous vegetables like broccoli and cauliflower.
Nuts and seeds: Nuts and seeds such as almonds, walnuts, and flaxseed are a great source of healthy fats and can also provide anti-inflammatory benefits.
Olive oil: Olive oil is a staple of the Mediterranean diet, and it is a good source of monounsaturated fats which can help to reduce inflammation.
Whole grains: Whole grains such as quinoa, barley, and whole wheat bread are a great source of fiber and have anti-inflammatory properties.
Herbs and spices: Herbs and spices such as turmeric, ginger, and garlic are great sources of anti-inflammatory compounds.
Moderate amount of red meat and processed meat should be avoided as they contain high level of saturated fat.
It’s also important to note that the Mediterranean diet is not only about the foods you eat, but also about the way of eating. It encourages a way of eating that is relaxed, social, and often involves shared meals.
It’s always best to consult with a healthcare professional, a dietitian, or a nutritionist before making any significant dietary changes, especially if you have any underlying health condition or taking any medication.
Here are a few key components of the Mediterranean diet that can be beneficial for pregnant women:
Fruits and vegetables: These foods are rich in vitamins, minerals, and antioxidants that are important for both the mother and the developing baby. Eating a variety of fruits and vegetables can help ensure that pregnant women get the nutrients they need.
Whole grains: Whole grains are a good source of fiber and B vitamins, which are important for a healthy pregnancy. Whole grains also have a lower glycemic index than refined grains, which can help keep blood sugar levels steady.
Fish and seafood: Fish and seafood are rich in omega-3 fatty acids, which are important for the development of the baby’s brain and eyes. Pregnant women should aim to eat at least two servings of fish per week, but should avoid certain types of fish that are high in mercury, such as swordfish and tilefish.
Healthy fats: Olive oil, avocado, and nuts are all good sources of healthy fats that can help support a healthy pregnancy.
Iron: Iron is essential for the development of the baby’s blood cells. Legumes and leafy greens are a good source of iron.
It’s worth noting that pregnant women should avoid certain foods such as raw fish, deli meats, and soft cheeses, as they may contain bacteria that can harm the developing baby. It’s always recommended to consult with a dietitian or a physician to create a personalized plan that fits your nutritional needs and health conditions.
The Mediterranean diet has been shown to be effective in reducing high cholesterol levels. This diet is characterized by a high intake of fruits, vegetables, whole grains, legumes, nuts, and seeds, and a moderate intake of fish and seafood. It also includes healthy fats, such as olive oil and avocado, and a moderate intake of red wine.
The Mediterranean diet emphasizes the consumption of monounsaturated fats, which have been shown to reduce LDL (bad) cholesterol levels and increase HDL (good) cholesterol levels. The diet is also low in saturated fats, which have been linked to increased cholesterol levels.
The Mediterranean diet also includes foods that are high in fiber, such as fruits, vegetables, and whole grains. Fiber can help lower cholesterol levels by binding with bile acids, which are made from cholesterol, and carrying them out of the body.
Eating fish, especially fatty fish like salmon, mackerel, and sardines, is a key feature of Mediterranean diet. These fish are rich in omega-3 fatty acids, which have been shown to help lower triglycerides and reduce the risk of heart disease.
Additionally, the Mediterranean diet is rich in antioxidants, which can help reduce inflammation in the body, which has been linked to an increased risk of heart disease. It’s worth noting that there’s no one-size-fits-all approach, therefore, it’s recommended to consult with a dietitian or a physician to create a personalized plan that fits your nutritional needs and health conditions.
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Improving cardio fitness involves increasing the strength and efficiency of your heart, lungs, and blood vessels. Here are a few ways to improve cardio fitness:
Aerobic exercise: Engage in regular aerobic activities such as running, cycling, swimming, or brisk walking, as these activities will increase your heart rate and improve your lung function. Aim for at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic activity per week, according to the physical activity guidelines for Americans.
High-Intensity Interval Training (HIIT): This type of training involves short, intense bursts of activity followed by a recovery period. It is known to be more effective than steady-state cardio in improving cardiovascular fitness.
Resistance Training: Resistance training helps to improve cardiovascular fitness by increasing muscle mass and improving the body’s ability to use oxygen. This type of training includes exercises such as weightlifting, calisthenics, and bodyweight exercises.
Yoga and stretching: Yoga and stretching can help to improve cardiovascular fitness by increasing flexibility, balance, and breathing.
Monitor your heart rate: Keep track of your heart rate during exercise to ensure that you’re working at the right intensity level.
Consistency: Regular exercise is key to improving cardiovascular fitness, so it’s important to make it a part of your weekly routine.
Adequate rest: Give your body enough time to recover from intense workouts to prevent overtraining and injury.
It’s important to consult with a healthcare professional or a trainer before starting any new exercise program, especially if you have any underlying health condition. They can help you to determine the best type and intensity of exercise for your fitness level and goals.
Taking body measurements is a useful tool for tracking your progress and monitoring changes in your body composition as you work towards your fitness goals. Here are a few steps to follow when taking body measurements:
Gather your tools: You will need a tape measure, a pen, and a notebook or a measuring tape app on your phone.
Measure your body in several places: Common measurement areas include the chest, waist, hips, thighs, upper arms, and calves.
Take measurements in the same place every time: It’s important to measure the same area of your body each time, so you can track changes over time.
Measure at the same time of day: Try to measure at the same time of day, as your measurements can be affected by factors such as hydration levels and digestion.
Take measurements standing: Stand up straight and breathe normally when measuring, as this will give you the most accurate measurements.
Record your measurements: Write down your measurements in a notebook or in a fitness tracking app, so you can track your progress over time.
Repeat measurements every 4-6 weeks: It’s useful to repeat measurements every 4-6 weeks to monitor any changes in your body composition.
It’s important to note that body measurements are not the only way to track your fitness progress, it’s also important to pay attention to how you feel, how your clothes fit, and how your performance improves in physical activities.
It’s always best to consult with a healthcare professional, a personal trainer, or a nutritionist before making any significant changes to your diet or exercise routine, especially if you have any underlying health condition.
Maintaining a healthy weight is important for overall health and wellness. Here are a few ways to maintain a healthy weight:
Eat a balanced diet: A healthy diet should include a variety of nutrient-dense foods such as fruits, vegetables, whole grains, lean protein, and healthy fats. Avoid processed foods, sugary drinks, and excessive amounts of saturated and trans fats.
Watch your portion sizes: Eating smaller portions can help you to manage your calorie intake and maintain a healthy weight.
Be active: Engage in regular physical activity, such as brisk walking, cycling, swimming, or running. The Physical Activity Guidelines for Americans recommend at least 150 minutes of moderate-intensity aerobic activity or 75 minutes of vigorous-intensity aerobic activity per week for adults.
Avoid fad diets: Crash diets or fad diets that promise rapid weight loss are often not sustainable in the long term, and can be harmful to your health.
Get enough sleep: Adequate sleep is important for weight management, as lack of sleep can lead to weight gain and obesity.
Manage stress: High levels of stress can lead to overeating and weight gain, so it’s important to find healthy ways to manage stress such as yoga, meditation, or talking to a therapist.
Keep track of your progress: Use a journal or an app to track your food intake and physical activity, it will help you to stay on track and make adjustments as needed.
It’s important to note that weight management is different for each individual and it’s not always about weight loss. It’s about reaching and maintaining a healthy weight for your body type, age, and overall health. It’s always best to consult with a healthcare professional, a dietitian, or a nutritionist before making any significant changes to your diet or exercise routine.
The federal pay raise is typically announced by the President in the budget proposal and then must be passed by Congress. The exact timing of when a federal pay raise would take effect would depend on the specifics of the proposal and the legislative process.
It’s worth noting that the federal pay raise could be different each year and also could depend on the budget availability, economic conditions, and political considerations. It’s recommended to check for updates on the official government websites or consult with the human resources department of your agency for more information.
Asking for a raise can be nerve-wracking, but it’s important to remember that you deserve to be compensated fairly for your work. Here are a few tips to help you prepare for a conversation with your manager about a raise:
Research: Look up the average salary for your position in your area and industry. This will give you a benchmark to use when discussing your salary with your manager.
Prepare a case: Make a list of your accomplishments and contributions to the company. Be specific and use data and examples to show how you have added value to the company.
Choose the right time: Timing is important when asking for a raise. Try to schedule your meeting when your manager is less busy and more likely to have time for a thoughtful conversation.
Practice: Rehearse what you want to say so you feel more confident during the meeting.
Be professional: During the meeting, be calm, polite, and professional. Avoid getting emotional or confrontational.
Be open to negotiation: Be prepared to discuss different options, such as a raise or other benefits like additional vacation days or flexible working hours.
It’s important to remember that the answer may not be yes immediately or in the amount you expect, but it is important to express your value and worth to the company. Also, it’s recommended to check your company’s policies or guidelines regarding pay raises and performance evaluations.
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How does raising minimum wage affect Small businesses?
Raising the minimum wage can have both positive and negative effects on small businesses.
On the positive side, raising the minimum wage can lead to increased consumer spending, as workers will have more money to spend on goods and services. This can lead to increased sales and revenue for small businesses. Additionally, raising the minimum wage can also lead to decreased employee turnover and recruitment costs, as workers will be more satisfied with their wages.
On the negative side, raising the minimum wage can lead to increased labor costs for small businesses. This can be a significant burden for small businesses with tight profit margins, as they may not have the financial resources to absorb the increased costs. As a result, some small businesses may be forced to reduce their workforce, reduce employee hours, or raise prices to offset the increased labor costs.
It’s also worth noting that the effects of raising the minimum wage can vary depending on the specific industry and location. For example, small businesses in high-cost areas may be more affected by a minimum wage increase than those in low-cost areas.
It’s important to note that the effects of raising the minimum wage are not clear cut and there are arguments for and against it. It’s important for policymakers to consider the potential effects on small businesses when making decisions about the minimum wage. It’s also important for small business owners to stay informed about potential changes to the minimum wage and plan accordingly.
How does raising minimum wage affect the economy?
How does raising minimum wage affect quantity demanded?
How does raising minimum wage affect cost of living?
Minimum wage laws were created to protect workers from being exploited by employers. The idea behind a minimum wage is to ensure that workers are paid a fair wage for their labor. Without a minimum wage, employers could pay workers very low wages, which would make it difficult for them to make ends meet.
The first minimum wage law was passed in New Zealand in 1894, followed by Australia in 1896. The United States passed its first federal minimum wage law, the Fair Labor Standards Act (FLSA), in 1938. The FLSA established a minimum wage of 25 cents per hour for covered workers.
The purpose of the FLSA was to reduce poverty and inequality by ensuring that workers were paid a fair wage. It aimed to achieve this by setting a minimum wage that would provide workers with enough money to meet their basic needs. Additionally, it was created to reduce competition among workers for jobs by preventing employers from undercutting each other by paying lower wages, which would benefit employees and employers.
Minimum wage laws have been updated and changed over time, reflecting the changes in the economy and the cost of living. The current federal minimum wage in the United States is $7.25 per hour, but many states and municipalities have set their own higher minimum wage rates.
It’s worth noting that there’s ongoing debate on the effects of minimum wage on employment, with some arguments saying it could lead to job loss and others stating it could increase purchasing power and reduce poverty.
Commotio cordis is a type of sudden cardiac arrest that occurs as a result of a blow to the chest, typically from a blunt object such as a ball or a puck. The blow causes the heart to momentarily stop beating properly, leading to a loss of consciousness and cardiac arrest. It most commonly occurs in young athletes and it’s most common in baseball, hockey, and lacrosse.
Commotio cordis is caused by a specific type of heart rhythm disturbance called ventricular fibrillation. Ventricular fibrillation is a chaotic, ineffective contraction of the ventricles (the lower chambers of the heart) that prevents the heart from pumping blood effectively.
Commotio cordis is a very rare condition and it’s estimated that it occurs in 1 out of every 50,000 to 80,000 athletes who participate in chest-contact sports. However, when it happens, it’s often fatal if not treated immediately with CPR and defibrillation.
There are steps that can be taken to prevent commotio cordis, such as wearing chest protectors and using safer equipment. It’s also crucial for those who participate in sports to learn CPR, and for organizations to have defibrillators available at events.
It’s important to note that if a person has a blow to the chest, and they lose consciousness or show any other signs of cardiac arrest, emergency medical services should be called immediately.
Cardiac arrest is a serious medical emergency that occurs when the heart stops pumping blood effectively to the body. It is caused by an electrical malfunction in the heart, which can lead to an abnormal heart rhythm called ventricular fibrillation. When this happens, the heart is unable to pump blood effectively and the person will lose consciousness and stop breathing. If left untreated, cardiac arrest can lead to brain damage and death within minutes.
There are several different causes of cardiac arrest, including heart attack, trauma, drowning, electrocution, and drug overdose. In some cases, the person may have an underlying heart condition that increases their risk of cardiac arrest.
Cardiac arrest is different from a heart attack, which is a circulation problem caused by a blocked blood flow to the heart. A heart attack can lead to cardiac arrest but not always.
The most important treatment for cardiac arrest is immediate CPR and defibrillation to restore the normal heart rhythm. Early recognition and treatment of cardiac arrest is crucial to increase the chances of survival.
It’s important to note that if someone is suspected of having a cardiac arrest, emergency medical services should be called immediately and CPR should be started right away if the person is unresponsive and not breathing. If a defibrillator is available, it should be used as soon as possible.
Who got injured in football today? Damar Hamlin
Why was the Bills game suspended? Damar Hamlin cardiac arrest during the game
What happens when a NFL game is suspended? It gets rescheduled or cancelled
Create a flood emergency plan: Identify potential evacuation routes and shelter areas, and make sure everyone in your household knows what to do in case of a flood.
Elevate important items: elevate furniture and appliances that may be damaged by floodwater.
Seal basement walls: install a sealant or waterproofing membrane on basement walls to prevent water from entering.
Install a sump pump: if your basement is prone to flooding, a sump pump can help remove water from the area.
Keep sandbags on hand: Sandbags can be used to block water from entering your home.
Have a flood insurance: check your insurance policy to make sure you have adequate coverage for flood damage.
Be aware of flood-prone areas: know the areas in your community that are prone to flooding, and avoid these areas during heavy rainfall.
Keep an emergency kit: keep an emergency kit with essentials such as food, water, and flashlights in case you need to evacuate your home.
Keep important documents safe: Keep important documents such as ID cards, insurance papers, and emergency contact information in a safe and easily accessible place.
Keep your phone charged and have a way to charge it: Keep your phone charged, and have a way to charge it in case of power outages.
Keep a supply of rock salt, sand, or cat litter to create traction on walkways and driveways.
Insulate pipes: wrap pipes with insulation or newspapers and allow faucets to drip during freezing temperatures to prevent pipes from bursting.
Keep a supply of emergency heating sources such as firewood, portable heaters, and blankets.
Have a plan to keep warm: in case of a power outage, know where you can go to keep warm.
Keep a supply of non-perishable food and water in case you are unable to leave your home.
Make sure your car is winterized: Keep your gas tank at least half full, check your brakes, tires, battery, and windshield wipers.
Keep a winter emergency car kit, including blankets, a flashlight, and an ice scraper.
Keep a battery-powered radio on hand: Listen to weather updates and alerts.
Keep your phone charged: Keep your phone charged in case you need to call for help.
Be aware of the weather forecast: Stay informed about upcoming storms, and take necessary precautions.
How to prepare for a power outage
Create an emergency kit: Include items such as flashlights, batteries, a manual can opener, non-perishable food, and water.
Have backup power sources: Consider purchasing a generator or a portable power bank for charging devices.
Keep important documents safe: Keep important documents such as ID cards, insurance papers, and emergency contact information in a safe and easily accessible place.
Keep your fridge and freezer closed: This will help to keep food fresh for longer in case of a power outage.
Charge devices before an outage: Charge your phone, tablet, and other devices before a power outage so that you can use them if needed.
Keep extra cash on hand: In case of power outages, ATMs and credit card machines may not be able to process transactions.
Have a plan for communication: Make sure everyone in your household knows how to contact each other in case of an emergency.
Know how to manually operate essential equipment: Learn how to manually operate essential equipment such as your garage door and security system.
Familiarize yourself with utility company’s emergency plan: Contact your utility company to know their emergency plan and how they will inform you about power outages and when power will be restored.
Have a backup plan for medical needs: If you or a family member relies on powered medical equipment, make sure you have a backup plan in case of a power outage.
Stay indoors: Stay inside as much as possible to avoid the dangerous conditions outside.
Prepare food and water: Stock up on non-perishable food and water supplies in case you get stuck at home for a few days.
Dress in layers: Wear multiple layers of clothing to stay warm and remove layers as needed to prevent overheating.
Stay warm: Keep your home warm by closing windows and doors, using blankets, and taking advantage of alternative heating sources if necessary.
Avoid travel: If you must travel, do so only if absolutely necessary and take your time. Use a shovel to clear a path if necessary and make sure your car is equipped with winter safety gear.
Keep a disaster supply kit: Make sure you have a disaster supply kit with essentials like flashlights, batteries, and a battery-operated radio.
Stay informed: Stay informed about weather conditions and any changes in the storm by listening to the radio or television, or checking online weather websites.
To dry a lightning connector, you can try the following steps:
Disconnect the lightning cable from any device or power source and leave it unplugged for a few hours to allow it to air dry.
Gently shake the cable to remove any excess moisture, then use a soft cloth to wipe the connector and remove any visible water droplets.
Place the lightning connector in a warm, dry place, away from direct heat sources or damp areas. You can use a fan or a small portable heater to help speed up the drying process.
If the lightning connector still does not work after a few hours, you may need to consider using a dryer or a desiccant bag, such as silica gel, to absorb any remaining moisture.
Note: It’s important to be patient and not force the cable into a device while it’s still wet, as this could cause damage to the device or the cable.
Driving in snow can be challenging but by following these steps, you can stay safe on the road:
Slow down: Snow and ice can reduce visibility and traction, so slow down and allow extra time to reach your destination.
Accelerate and decelerate slowly: Sudden acceleration or deceleration can cause the wheels to spin and lose traction.
Use lower gears: Use lower gears to help maintain traction when driving up or down hills.
Increase following distance: Snow and ice can reduce visibility and stopping distance, so increase the distance between your vehicle and the one in front of you.
Avoid sudden movements: Sudden movements, such as sudden steering or braking, can cause the vehicle to lose traction.
Brake gently: If you have to brake, do it gently and slowly to avoid skidding. If your vehicle has anti-lock brakes, apply steady pressure.
Avoid using cruise control: Cruise control can cause the wheels to spin and reduce traction.
Watch for black ice: Black ice is a thin layer of ice that can form on roads and is difficult to see. Keep an eye out for it, especially in shaded areas or on bridges and overpasses.
Prepare your vehicle: Make sure your vehicle is equipped with snow tires or chains and that the windshield wipers and defrost system are working properly.
By following these steps and taking it slow and steady, you can stay safe while driving in snow.
How to measure humidity at home? To measure humidity at home, you can use a hygrometer, which is a device that measures relative humidity levels. Hygrometers can be found at hardware stores and online, and can be analog or digital. Digital hygrometers are generally more accurate and easier to read, but analog hygrometers are less expensive. To use a hygrometer, simply place it in a room where you want to measure the humidity, and the device will give you a reading. If you want to measure the humidity in a specific area, such as a closet or room, you may want to invest in a more advanced hygrometer with a remote sensor that you can place in the specific area you want to measure.
What is a polar vortex? A polar vortex is a large area of low pressure and cold air surrounding the Earth’s poles. These air masses can weaken and cause cold Arctic air to spill into lower latitudes, leading to frigid winter weather conditions in normally milder areas. The term “polar vortex” has become more commonly used in recent years due to an increase in instances of these events and their impacts on the mid-latitudes.
Racing in the rain can be a challenge due to reduced visibility and traction. Here are some tips for racing in wet conditions:
Slow down: Wet roads reduce traction, so it’s important to slow down to maintain control of your vehicle.
Maintain a safe distance: Keep a safe distance from the car in front of you to allow for extra stopping time.
Use brakes carefully: Avoid sudden braking or acceleration, which can cause your wheels to lock and lose traction.
Use lower gears: In wet conditions, it’s best to use lower gears when accelerating to maintain traction.
Avoid puddles: Puddles can reduce visibility and hide hazards. If you must drive through a puddle, do so slowly to minimize splashing and maintain control.
Use headlights: Turn on your headlights to improve visibility in the rain.
Stay focused: Stay focused on the road and avoid distractions, such as texting or using your phone.
By following these tips, you can increase your safety and chances of successfully racing in the rain.
Pele’s runaround move: Pele’s runaround move, also known as the “rainbow flick,” was a skillful move used by the Brazilian soccer player Pele during his career. The move involves the player lifting one leg, and using the other leg to control the ball and flick it over the opponent’s head. This move is considered to be quite difficult to execute and requires a high level of ball control and balance. Pele was known to use this move to great effect, catching many defenders off guard and leaving them behind. The move is considered to be one of Pele’s most iconic and memorable moments in the history of soccer.
Pele is the nickname of Edson Arantes do Nascimento, a Brazilian soccer player who is widely considered one of the greatest players of all time. He was given the nickname “Pele” at a young age by his schoolmates, who decided to call him after the American inventor and businessman Thomas Edison. The nickname was later shortened to “Pele,” and he became known by this name throughout his career.
Pele is considered one of the greatest soccer players of all time due to his impressive skills, speed, and goal-scoring ability. He won three World Cup titles with the Brazilian national team and scored a total of 1,281 goals in his career, a record that still stands today. Pele was also known for his sportsmanship and leadership on and off the field, and he has been recognized with numerous awards and accolades throughout his career.
Most searched Pelé goals on Youtube, all time, worldwide
What are some ethical concerns regarding artificial intelligence and its future development?
Debate about the ethical concerns surrounding artificial intelligence (AI) and machine learning have been becoming increasingly prominent. Issues such as safe AI and ethical AI are of utmost importance when it comes to continued development in this field, and if proper oversight is not account for these could easily become part of an unwanted dystopian future.
Regulations need to be made with regards to how machine learning algorithms are developed and executed, while due diligence is taken to ensure that no negative affects are caused from its use. This sort of regulation is necessary so as to ensure the AI being produced is both responsible and well-monitored; accounting for any human bias or negative externalities created by machine learning algorithms.
What are some ethical concerns regarding artificial intelligence and its future development?
Artificial intelligence (AI) has the potential to revolutionize many aspects of society, but it also raises a number of ethical concerns. Some of the ethical concerns regarding the future development of AI include:
Bias and discrimination: AI systems can be biased if they are trained on biased data or if they are designed to perpetuate existing biases. This can lead to discrimination against certain groups of people, such as those based on race, gender, or age.
Privacy: AI systems often rely on data collected from individuals, and there are concerns about how this data is collected, stored, and used. There is a risk that personal data could be accessed or misused by unauthorized parties.
Transparency: It can be difficult to understand how AI systems make decisions, which can make it difficult to hold them accountable for their actions. This lack of transparency can raise concerns about the fairness and accountability of AI systems.
Job displacement: AI systems have the potential to automate many tasks, which could lead to job displacement and unemployment. There is a risk that AI could exacerbate existing inequalities and create new ones.
Autonomous systems: AI systems are increasingly being used to make decisions without human intervention. This raises concerns about the accountability of these systems and the potential for them to cause harm.
These are just a few of the ethical concerns that have been raised regarding the future development of AI. It is important for researchers, policymakers, and other stakeholders to consider these issues and to work to address them as AI continues to evolve.
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Is artificial intelligence being used to create subspecies or designer organisms?
Artificial intelligence (AI) is not typically used to create subspecies or designer organisms. While AI can be used to analyze and interpret genetic data, it is not typically involved in the actual process of creating or modifying living organisms.
Creating or modifying living organisms, whether they are plants, animals, or microorganisms, typically involves manipulating their genetic material in some way. This can be done through techniques such as gene editing, where specific genes are inserted, deleted, or modified within the genome of an organism.
AI can be used to analyze and interpret the data generated by these techniques, and it may be used to identify potential targets for gene editing or to predict the effects of specific genetic modifications. However, AI is not typically involved in the actual process of creating or modifying living organisms.
Overall, it is important to note that the use of AI in the field of biology is still in its early stages, and there is much that we do not yet understand about its capabilities and limitations. While AI has the potential to revolutionize many aspects of biology and medicine, it is important to carefully consider the ethical and societal implications of these technologies.
Does artificial intelligence represent a risk factor that could potentially result in human annihilation?
There is ongoing debate about the potential risks and benefits of artificial intelligence (AI). While some experts argue that AI could bring significant benefits and advancements for society, others have raised concerns about the potential risks and negative impacts of AI.
One potential risk of AI is that it could potentially be used to develop and deploy weapons or other harmful technologies. For example, AI could be used to develop autonomous weapons systems that could make decisions about when to use force, potentially leading to unintended consequences.
Another potential risk of AI is that it could be used to amplify existing power imbalances or to create new ones. For example, AI could be used to automate certain jobs or tasks, potentially leading to job displacement and income inequality.
There is also the potential for AI to be used to undermine privacy and security, for example by collecting and analyzing large amounts of personal data without individuals’ knowledge or consent.
Overall, while it is difficult to predict the future development and impact of AI, it is important for society to carefully consider the potential risks and benefits of this technology and to take steps to mitigate any potential negative impacts.
How has the introduction of new technologies such as artificial intelligence changed the landscape of modern espionage?
The introduction of new technologies, such as artificial intelligence (AI), has significantly changed the landscape of modern espionage. Here are a few ways in which AI has impacted the field of espionage:
Enhanced surveillance capabilities: AI can be used to analyze and process large amounts of data from various sources, such as video footage, social media posts, and electronic communications. This can enable intelligence agencies to gather more information and monitor individuals and organizations more effectively.
Improved analysis and prediction: AI algorithms can be used to analyze and make sense of vast amounts of data, helping intelligence agencies to identify trends, predict future events, and make more informed decisions.
Increased automation: AI can be used to automate various tasks, such as data collection and analysis, allowing intelligence agencies to operate more efficiently and with fewer resources.
New threats: AI also introduces new threats, such as the potential for AI-powered cyber attacks or the use of AI-powered autonomous weapons systems.
Overall, the introduction of AI has had a significant impact on the field of espionage, enabling intelligence agencies to gather and analyze more information than ever before, but also introducing new risks and challenges.
In what ways can AI and machine learning be used to better predict, respond, and contain potential outbreaks before they become widespread?
Artificial intelligence (AI) and machine learning (ML) can be used to better predict, respond, and contain potential outbreaks before they become widespread in a number of ways:
Data analysis: AI and ML can be used to analyze large amounts of data from various sources, such as social media, electronic health records, and surveillance systems, to identify patterns and trends that may indicate the early stages of an outbreak.
Risk assessment: AI and ML can be used to assess the likelihood of an outbreak occurring in a particular region or population, and to identify factors that may increase the risk of an outbreak.
Early warning systems: AI and ML can be used to develop early warning systems that can alert public health officials and other stakeholders of potential outbreaks in real-time, allowing them to take timely and appropriate action.
Response planning: AI and ML can be used to help public health officials and other stakeholders develop and implement effective response plans to contain and control outbreaks.
Predictive modeling: AI and ML can be used to develop predictive models that can forecast the likely trajectory of an outbreak and help to identify the most effective interventions to reduce its impact.
Overall, AI and ML have the potential to significantly improve our ability to predict, respond, and contain potential outbreaks before they become widespread, helping to protect public health and prevent the spread of diseases.
Autonomous flight: AI algorithms can be used to enable UAVs to fly autonomously, without the need for human control. This can allow UAVs to perform tasks such as surveillance, mapping, and delivery without the need for a human operator.
Obstacle avoidance: AI algorithms can be used to enable UAVs to detect and avoid obstacles in their path, such as trees, buildings, and other aircraft. This can improve the safety and reliability of UAVs, particularly in environments where there are many potential hazards.
Improved decision making: AI algorithms can be used to enable UAVs to make decisions in real-time based on data from sensors and other sources. This can allow UAVs to adapt to changing conditions and to respond to unexpected situations, improving their performance and reliability.
Enhanced capabilities: AI algorithms can be used to enable UAVs to perform tasks that would be difficult or impossible for humans to do, such as flying through small or complex spaces, or flying in extreme environments.
Overall, the use of AI in control systems for UAVs has the potential to significantly improve the capabilities and performance of these systems, and to enable UAVs to perform a wide range of tasks that were previously impractical or impossible.
What impact will artificial intelligence have on medical research and healthcare delivery in the next decade?
Artificial intelligence (AI) has the potential to have a significant impact on medical research and healthcare delivery in the next decade. Some of the ways AI could potentially be used include:
Improving drug discovery: AI can analyze large amounts of data from genomic and chemical databases to identify potential new drugs, which can speed up the drug discovery process.
Personalized medicine: AI can be used to analyze patients’ medical history, symptoms, and test results to create personalized treatment plans.
Diagnosis: AI algorithms can be trained to analyze medical images and make accurate diagnoses, which can assist physicians in making more accurate and faster diagnoses.
Predictive analytics: AI can be used to analyze data from electronic health records to identify patterns and predict outcomes, which can help healthcare providers make more informed decisions and improve patient outcomes.
Robotic surgery: AI-controlled robots are being developed to assist in surgery, which can improve precision and reduce recovery time for patients.
Clinical trial design: AI can be used to analyze clinical data to identify patterns and optimize trial design, which can improve the efficiency and success rate of clinical trials.
That being said, the success of these application depends on the quality and quantity of data available, robustness of the AI algorithms, and other factors such as privacy, security and transparency, thus it is important to keep in mind that the impact of AI in healthcare will still have a lot of considerations and the success rate varies case by case and sector by sector.
What are the advantages of using ARIMA models over LSTMs for forecasting and prediction in finance and economics applications?
The field of machine learning and artificial intelligence is constantly evolving, and with it, the ways in which we use technology to understand and predict complex financial and economic systems. ARIMA models and Long-Short-Term-Memory (LSTM) networks are two machine learning tools with a lot of potential in this domain. Though both approaches can yield great accuracy, ARIMA models have an edge when forecasting or predicting financial data. This is because they better capture the stationary process present in most financial data; while LSTMs are excellent at modeling non-stationary processes, these tend to be less prominent in financial settings. Furthermore, ARIMA consumes less resources; its training algorithms can require several orders of magnitude fewer calculations than required for training LSTM networks. Thus, if you need accuracy in your finance or economics applications without running up large bills for computation resources, ARIMA should be your go-to machine learning tool!
Autoregressive integrated moving average (ARIMA) models and long short-term memory (LSTM) models are two commonly used approaches for forecasting and prediction in finance and economics applications.
Here are some advantages of using ARIMA models over LSTMs:
Interpretability: ARIMA models are generally more interpretable than LSTM models, as the parameters of the model have a clear meaning and can be interpreted in terms of the underlying data. This makes it easier to understand the reasons behind the model’s predictions.
Computational efficiency: ARIMA models are generally more computationally efficient than LSTM models, as they have fewer parameters and require less training data. This makes them faster to train and easier to deploy in production environments.
Data requirements: ARIMA models are suitable for modeling time series data that is stationary (i.e., the statistical properties of the data do not change over time) and exhibits a clear trend and/or seasonality. LSTM models, on the other hand, can handle non-stationary data and can model more complex patterns, but they may require more data to do so.
That being said, LSTM models also have some advantages over ARIMA models. For example, LSTM models can handle missing data and can model long-term dependencies in the data more effectively than ARIMA models.
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Ultimately, the choice between using an ARIMA model or an LSTM model will depend on the specific characteristics of the data and the requirements of the application. It may be necessary to try both approaches and compare their performance to determine the best model for a given task.
Machine Learning and Artificial Intelligence have become tools of choice for forecasting and prediction applications in finance and economics. For example, ARIMA models have developed a reputation as reliable predictors of stock prices or demand for certain products based on past data due to their ability to describe high-level trends from data. In contrast, Long Short-Term Memory (LSTMs) are better at understanding complex patterns, but may be overkill for regression problems that can already be addressed with the less-complex ARIMA approach. When applied to stationary time series data, ARIMA is faster to train and good enough for most use cases. Moreover, it offers advantages over LSTMs in terms of scalability: ARIMA is able to scale with higher ones and zeroes than its AI cousins; as such, ARIMA requires less computing power to reach similar results and operate on more datasets simultaneously. Ultimately, the machine learning model we choose will depend on our prediction problem’s complexity – but if you find yourself facing a straightforward regression task in finance or economics the classic ARIMA might just do the trick without taking too much of your precious machine memory!
What are some Canadian startups that use artificial intelligence/machine learning?
Canada’s tech sector is booming with machine learning and artificial intelligence, and a number of young startups are leading the charge. From big-picture machine learning apps to AI solutions for every industry imaginable, Canadian startups are innovating in a powerful way. Sentenai, for example, uses machine learning to process data in real-time to create predictive analytics that can help businesses make faster decisions. Robokiller uses AI to block spam calls, while Caribou Labs develops solutions that use machine learning to help industrial organizations increase productivity. These examples show just how much potential lies within Canada’s AI startup scene — and there is much more still being discovered!
Top 200 Canada History Geography and Citizenship Test Quiz?
According to ChatGPT, there are many Canadian startups that use artificial intelligence (AI) and machine learning (ML). Here are a few examples:
Element AI: Element AI is a Montreal-based startup that develops AI-powered solutions for businesses. The company’s products include a platform for building and deploying custom AI models, and a range of AI-powered software tools for various industries.
Layer 6 AI: Layer 6 AI is a Toronto-based startup that uses AI and ML to build predictive analytics solutions for businesses. The company’s products include a platform for building custom AI models, and a range of AI-powered software tools for various industries.
Deep Genomics: Deep Genomics is a Toronto-based startup that uses AI and ML to develop personalized medicine solutions. The company’s products include a platform for analyzing genetic data and predicting the impact of genetic variations on health.
Borealis AI: Borealis AI is a research institute focused on advancing the state of the art in AI and ML. The institute has locations in Toronto, Edmonton, and Montreal, and its research focuses on a range of topics including natural language processing, computer vision, and machine learning.
TOP 1000 CANADA QUIZ CANADA CITIZENSHIP TEST- HISTORY – GEOGRAPHY
Canada is home to some of the most innovative startups, many of which are actively applying machine learning and artificial intelligence (AI) in novel ways. From education to finance and transportation, AI is being utilized to create a more efficient and transparent experience for users everywhere. Two such Canadian startups are Layer 6, a machine learning platform that aggregates data from multiple sources; and Deep Genomics, a healthcare technology that combines machine learning with genetics. It’s impressive how these Canadian companies are harnessing machine learning and AI to revolutionize the way we work and Live today.
These are just a few examples of Canadian startups that use AI and ML. There are many other startups in Canada that are using these technologies to solve a variety of problems across a range of industries.
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What are the Top 200 Canada History Geography and Citizenship Test Quiz?
CANADA CITIZENSHIP TEST, CANADIAN HISTORY, CANADIAN GEOGRAPHY, CANADA GOVERNMENT, CANADIAN CULTURE QUIZ, CANADIAN PEOPLE QUIZ, CANADA ECONOMICS QUIZ, CANADIAN LANGUAGES QUIZ , CANADA TRAVEL, CANDA WILDLIFE, CANADIAN HOCKEY QUIZ, CANADIAN TOURISM, CANADA SCENERIES, CANADA PARKS QUIZ, CANADIAN ARTS, CANADA IN DATA VISUALIZATION
Canada is a nation with much to offer – from its unique culture to its diverse wildlife, there’s something for everyone. In the spirit of making sure that everyone can appreciate and understand this great nation, more than 200 quizzes on Canadian history, geography, government, citizenship tests, and much more can easily be found so that anyone can become an expert on Canada. Not only can you learn about the fascinating foundations of this country, but you can also explore the amazing natural wonders it holds – like mountains, forests, and parks. Whether you’re just starting your journey into Canadian culture or you’ve been living here all your life – these quizzes can help you become a knowledgeable guide to your surroundings!
Top 1000 Canada History Geography and Citizenship Test Quiz?
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Getting a job, making money, raising a family, paying taxes, mowing your lawn, voting in provincial elections.
Voting in municipal elections only, joining a political party, getting a job, obeying the law, driving safely, picking up litter.
Caring for the environment, not littering, paying taxes, obeying the law, helping others, respecting others.
Obeying the law, taking responsibility for oneself and one’s family, helping others in the community, voting in elections, serving on a jury, protecting and enjoying our heritage and environment.
83- What is the difference between the role of the Sovereign and that of the Prime Minister?
The Sovereign is Head of State, the Prime Minister oversees provincial policies.
The Sovereign is the guardian of Constitutional freedoms, the Prime Minister selects the Cabinet ministers and is responsible for operations and policy of government.
The Sovereign links Canada to 52 other nations and the Prime Minister is the guardian of Constitutional freedoms.
The Sovereign is the symbol of Canadian sovereignty and the Prime Minister is her aide.
112. When you vote on election day, what do you do?
Go to the voting station, tell them who you are and mark your X. Give the ballot back to the attendant.
Go to the voting station, remove 1 ballot and after marking your X deposit it in the ballot box.
Go to the voting station, take your voter’s card with proof if identity, highlight your choice on the ballot and deposit it in the box.
Go to the voting station with your voter’s card and ID, mark an X next to your chosen candidate, fold the ballot and present it to the poll officials who will tear off the ballot number and give you the ballot to deposit in the box
[32- 4: Senators are appointed by the Governor General on the advice of the Prime Minister. ] Back to top
[33-2: Approval by a majority in the House of Commons and Senate and finally the Governor General. ] Back to top
[34- 4: By the Prime Minister]
[35- 2: Ordinarily, the party with the most elected representatives becomes the party in power. The leader of this party becomes the Prime Minister.] Back to top
[41- 1: Conservative (Poilievre), NDP (Singh), Liberal (Trudeau), Bloc Quebecois (Blanchet), Green Party (May)] Back to top
[42- 4: Obeying the law, taking responsibility for oneself and one’s family, helping others in the community, voting in elections, serving on a jury, protecting and enjoying our heritage and environment.] Back to top
[43- 3: Atlantic, Central, Prairie, West Coast, and North] Back to top
[44- 2: Mobility rights, Multiculturalism, and Aboriginal Peoples’ rights.] Back to top
[45-1: Freedom of conscience and religion, and Freedom of association.] Back to top
[46- 3: Canadian Charter of Rights and Freedoms and Magna Carta (the Great Charter of Freedoms). ] Back to top
[47- 2: National defence and foreign policy. ] Back to top
[52- 2: Getting a job, taking care of one’s family and working hard in keeping with one’s abilities. ] Back to top
[53- 2: Alberta (Edmonton), Saskatchewan (Regina) and Manitoba (Winnipeg).] Back to top
[54- 3: Ontario (Toronto) and Quebec (Quebec City). ] Back to top
[55- 2: Newfoundland and Labrador (St. John’s), Nova Scotia (Halifax), New Brunswick (Fredericton) and Prince Edward Island (Charlottetown). ] Back to top
[56- 4: Yukon Territory (Whitehorse), Northwest Territories (Yellowknife), and Nunavut (Iqaluit). ] Back to top
[57- 1: Federal, Provincial and Territorial, Municipal (local).] Back to top
[58- 1: First Nations, Métis and Inuit.] Back to top
[59- 4: Natural resources, manufacturing and services.] Back to top
[60- 4: The Sovereign, the House of Commons and the Senate.] Back to top
[83- 2: The Sovereign is the guardian of Constitutional freedoms, the Prime Minister selects the Cabinet ministers and is responsible for operations and policy of government.] Back to top
[111- 2: On the third Monday in October every four years following the most recent general election.] Back to top
[112- 4: Go to the voting station with your voter’s card and ID, mark an X next to your chosen candidate, fold the ballot and present it to the poll officials who will tear off the ballot number and give you the ballot to deposit in the box] Back to top
[113- 1: Between Ontario and the United States] Back to top
1) Encanto 2) Top Gun 3) The Batman 4) Thor Love and Thunder 5) Turning Red 6) Black Adam 7) Everything everywhere all at once 8) Morbius 9) Uncharted 10) Don’t worry darling
Top trending Celebrities in Canada 2022
1) Johnny Depp 2) Will Smith 3) Amber Heard 4) Chris Rock 5) Adam Levine 6) King Charles 7) Jada Pinkett Smith 8) Julia Fox 9) Bruce Willis 10) Mary J. Blige
Top trending Athletes in Canada 2022
1) Guy Lafleur 2) Novak Djokovic 3) Antonio Brown 4) Serena Williams 5) Eileen Gu 6) Kamila Valieva 7) Felix Auger Aliassime 8) Mitchell Miller 9) Johnny Gaudreau 10) Kirby Dach
Top trending Sports Terms in Canada 2022
1) World Cup 2) Olympic medal count 3) Flames 4) Olympics 5) CFL scores 6) T20 World Cup 2022 7) Asia Cup 2022 8) Canada soccer 9) Golden State Warriors 10) Indian Wells tennis
What is? Top Trending “What is?” Questions in Canada 2022
1) What is monkeypox 2) What is NATO 3) What is RSV? Respiratory syncytial virus 4) What is wordle: Wordle is a web-basedword game created and developed by Welshsoftware engineerJosh Wardle, and owned and published by The New York Times Company since 2022. Players have six attempts to guess a five-letter word, with feedback given for each guess in the form of colored tiles indicating when letters match or occupy the correct position. The mechanics are nearly identical to the 1955 pen-and-paper game Jotto and the television game show franchise Lingo. Wordle has a single daily solution, with all players attempting to guess the same word. 5) What is NFT? 6) What is aphasia? an inability to comprehend or formulate language because of damage to specific brain regions. 7) What is an oligarch 8) What is Diwali 9) What is happening in Ukraine? 10) What is martial law
Comment? Top Trending “Comment?” Questions in Canada 2022
1) Comment faire un test rapide 2) Comment vais je mourir quiz 3) Comment ramollir cassonade 4) Comment decongestionner 5) Comment friser cheveux avec fer plat 6) Comment connaitre son groupe sanguin 7) Comment faire un budget sur excel 8) Comment se débarrasser des coccinelles dans la maison 9) Comment obtenir un passeport canadien 10) Comment regarder la coupe du monde 2022
Why? Top Trending Questions “Why?” Search in Canada 2022
1) Why is russia attacking ukraine 2) Why is rogers down 3) Why did Will slap Chris 4) Why is ukraine not in nato 5) Why is there a formula shortage 6) Why is gas so expensive right now 7) Why are truckers protesting 8) Why is there a tylenol shortage 9) Why is crypto going down 10) Why did liz truss resign
How to? Top Trending Questions “How to?” in Canada 2022
1) How to watch the World Cup 2) How to do a rapid covid test 3) How to help Ukraine 4) How to get vaccine QR code 5) How to create an NFT 6) How to pronounce Kyiv 7) How to evolve Charcadet 8) How to respec in Elden Ring 9) How to evolve Cosmog in Pokémon Go 10) How to pronounce Qatar
11) How to register to vote in Canada?
Recherches au Québec en 2022
1) Wordle:web-basedword game created and developed by Welshsoftware engineerJosh Wardle, and owned and published by The New York Times Company since 2022. Players have six attempts to guess a five-letter word, with feedback given for each guess in the form of colored tiles indicating when letters match or occupy the correct position. The mechanics are nearly identical to the 1955 pen-and-paper game Jotto and the television game show franchise Lingo. Wordle has a single daily solution, with all players attempting to guess the same word. 2) Ukraine 3) Coupe du Monde 2022 4) Karim Ouellet 5) OD Martinique 6) Élections Québec 2022 7) Quordle : Daily World Game 8) Johnny Depp 9) Encanto 10) Jean-Marc Vallée
Top Trending Song Lyrics Questions in Canada 2022
1) We don’t talk about Bruno – Encanto 2) My money don’t jiggle jiggle it folds – Jason Derulo, Duke & Jones, Louis Theroux, Amelia Dimoldenberg 3) Running up that hill – Kate Bush 4) Surface pressure – Encanto 5) Unholy – Sam Smith 6) As it was – Harry Styles 7) Glimpse of us – Joji 8) Grrrls – Lizzo 9) Rich Flex – Drake, 21 Savage 10) About damn time – Lizzo
People who passed in CANADA 2022 – TOP TRENDING
1) Queen Elizabeth II 2) Betty White 3) Bob Saget 4) Anne Hache 5) Aaron Carter 6) Olivia Newton John 7) Taylor Hawkins 8) Ray Liotta 9) Guy Lafleur 10) Karim Ouellet
Gaslighting Questions:
What is gaslighting? colloquialism, loosely defined as manipulating someone so as to make them question their own reality.
What does it mean to gaslight someone? presenting a false narrative to another group or person, thereby leading them to doubt their perceptions and become misled, disoriented or distressed.
Where did the term gaslighting come from? derives from the title of the 1944 American film Gaslight, which was based on the 1938 British theatre play Gas Light by Patrick Hamilton, though the term did not gain popular currency in English until the mid-2010s.
What is gaslighting in a relationship?
How to gaslight someone
CANADA IN DATA
Average Sold Home Price in Canada Q4 2022
Average Sold Home Price in Canada in 2022
Irreligion in Canada
Irreligion in Canada
Ethnic Map of Canada
Ethnic Map of Canada, 2021
Guns in USA and Canda
Guns in USa and Canada – Comparison
What is icing in hockey? Icing is when a player on his team’s side of the red center line shoots the puck all the way down the ice and it crosses the red goal line at any point (other than the goal). Icing is not permitted when teams are at equal strength or on the power play.
What is power play in hockey? “Power play” is a sporting term used to describe a period of play where one team has a numerical advantage in players, usually due to a rule violation by the opposing team.
What is a hat trick in hockey? A hat trick happens when a single player scores three goals in one game.
What is offside in hockey? A team is offside when any member of the attacking team precedes the puck over the defending team’s blueline. The position of the player’s skate — and not that of his stick — is the determining factor. If both skates are over the blueline before the puck, the player is offside.
What is a hockey puck made of? Hockey pucks are made of vulcanized rubber and are designed to be extremely durable.
What is with fighting in ice hockey? It is a fight to assert territory and presence and is meant to avoid bigger fights or injuries in the long run.
This is the important announcement released by IRCC explaining how the final decision of study permit has arrived for each Canadian…Continue reading on Medium »
Dr. Phone Fix is your trusted partner for all your phone repair needs in South Saskatoon. Our brand, known for its expertise and…Continue reading on Medium »
Moving to Canada can be an exciting and transformative experience. However, navigating the complexities of immigration can be overwhelming…Continue reading on Medium »
My mum has a lot of debt & bad credit which she has racked up eversince coming to Canada in 2015. Her car which she got in 2022 has been a blessing & a curse for her. She often speaks on how she regrets getting the car and wishes she never did. I have been in need of a car and she offered me if I would be open to take over her car and the payments. I do not know how any of this works, all I know is she has a remaining balance of 30k on the car. I am not sure what the interest is or any of that stuff. I work two jobs and have no debt and try save as much money as I can. I have been in Canada for a year and some change. My credit is good as well, I like her car it's a 2022 VW. Is this a good idea? or should I stay away from it? submitted by /u/No_Ad_8366 [link] [comments]
1. Expertise and Experience: M&G Immigration Consultants have a vast knowledge and expertise in the field of Canada immigration.Continue reading on Medium »
Embark on an unparalleled journey through potential homes with 3d virtual home tours by 3D Vision Services. Step into the future of real…Continue reading on Medium »
Hi, I am an International student here, this is my first time doing taxes ( first time ever ). I don't know how and where to do and submit the taxes. I have all the T4 and relvee from my work. I just need some guidance on how to start. Or should I just not bother and pay someone to do it for me . submitted by /u/Calm_Farmer_9263 [link] [comments]
I have posted on this and other subreddits about how I absolutely hate SMS authentication because I know that SIM swapping is a thing. Well, I did a little experiment: I pretended to forget my password, typed in my TD Access Card number, and all it does is to ask me to use either the TD Authenticate App or call/text. I deliberately chose to receive a text. The text shows up instantly. I type in the verification code and then bam, I am in the password reset screen. After I reset my password, I gained access to the account. TD makes no attempts to identify me as a customer, doesn't ask my name, social insurance number, address, what accounts I have with them, how much I think the balances are in those accounts, etc... This absolutely horrifies me, as it implies that whoever has my debit card number (they don't need to know my name or anything else) and can access my text messages can do whatever they want with my bank account and there would be nothing that I can do to stop them. Also, should anyone suffer this kind of attack, the chances of the bank reimbursing them is extremely low, as the bank would say "well, you gave your 2 factor code away voluntarily, therefore you authorized the transaction and we will deem this as non fraud". In my case, IP addresses mean nothing because I constantly jump between Canadian and Hong Kong IP addresses without ever leaving the country (I am roaming internationally from Hong Kong to Canada to save money). Therefore, if someone is to steal my phone number via SIM swapping and logs in from another IP, Canadian or foreign, it likely won't trigger alerts--and if I no longer have access to the phone number, I would not get text alerts either. That would leave email as the only form of notification that someone changed my password and logged in. Fortunately, it is free to call Canadian numbers even without a SIM card or cell service as long as I have Wi-Fi because of calling apps, so I can still call the bank to let them know someone hacked into my account should that ever happen. submitted by /u/random20190826 [link] [comments]
I'll be going on a trip to Malaysia, Vietnam, and Thailand soon. Obviously, I will need cash to spend there, but I am wondering what the best way to exchange my CAD for the local currencies will be? My debit account with Scotia comes with no-fee global ABM withdrawals. Since I'll be flying into each country, would it be easiest and cheapest if I simply withdrew money in the local currency at an ABM in each airport when I arrive? Alternatively, should I be exchanging my cash in Canada before I leave? If this is the case, would anyone know where the best rates are in the Toronto area? I've looked into RBC (also have an account with them), and they offer okay rates, but they unfortunately do not exchange Vietnamese currency. Appreciate the help! submitted by /u/gym4 [link] [comments]
ON Firstly I want to admit yes I am stupid, but I can’t change that now I can only fix what happened. I have been working with a kid with autism since I was 16 as a babysitter/support worker. It was all under the table and the parents paid me directly. Until, as I find out as of tonight, for 2022 they did declare me and billed the company. To my knowledge, via the parents and my dad who was the one employed by the company for autism support, it was all under the table so I didn’t have to file taxes. I trusted them, as I didn’t know better. I wasn’t really an employee of this company. I was independent contractor I guess, I didn’t sign any contract or any paperwork. I did this to help my dad. I stopped doing that in 2023, and got a real job. I’m trying to file my taxes now, I know it’s last minute, but I have no idea how to file taxes and no adult figure to rely on to help me, so I put it off. Anyways, I try to go the CRA website, and to sign up I need to fill out the number on line 1500 of 2023 taxes or 2022 taxes. I haven’t filed yet for 2023 so I don’t know what to do, and apparently they have the correct number on file for me, possibly for 2022 as it turns out I should have done taxes for that year. I am really worried that evaded taxes but I don’t know how to fix this. I just found out tonight via the parent of the kid I worked with. I was going to call CRA to try sign up for the account but now am not sure how I can do so without informing them I just accidentally didn’t do taxes. I am really stressed, I really don’t know what to do. Please, if anyone has any advice or knowledge on what to do, it would help so much. submitted by /u/Elhoxo-Actual [link] [comments]
40yr old. 15yrs with my mega corp employer. Currently making $75k + 7.5% annual bonus target amount which then could be paid out anywhere from 100%-150% depending on performance. Full and generous health benefits ESSP with a 50% match (10% deduction towards share purchase each pay) DB pension (9% deduction from pay as contribution) Other fluffy benefits. After all my deductions I clear $1600/pay Offered a job by a client (small but extremely fast growing business). He said to name my price and what I want to do and he’ll send me an offer the following business day. I was thinking of asking $100k, plus bonus (need more info from him on what that looks like). Pretty sure this job would come with no pension. Still need to confirm health benefits. Going to ask him to match my RRSP contributions. …after I open one. I have 0 savings, due to not having not made a decent salary until three years ago. Even still, this isn’t decent. I do have $26k in shares with my current employer. I have 0 debts. Do not live with my boyfriend and I don’t have kids. Rent for $1100 mth and can’t move cause the rental market is insane. Can’t buy a house where I live (Ottawa) cause I can’t afford it. I feel like working at my current employer means I never will own a house with how impressively stingy they are in pay. I know I’m missing info but based on this what should I be doing or asking for from this new place. Should I be sitting here at mega corp until I retire? How am I 40, I have no idea what I’m doing in life. submitted by /u/lilyorkdork [link] [comments]
A Neo representative at a mall spoke to me offering 10% cash back for first 3 months and then 4% cash back from there onwards 7% cash back on gas, and also good interest rates on savings accounts Seems too good to be true, does snyone here bank with NEO and can talk about their experience? submitted by /u/porkistan_ [link] [comments]
I ordered a tv (not a preorder) from amazon sept 2023. It kept saying package not delivered in oct 2023, and I brought it up with amazon several times. There was an option to cancel but it never completed, was like a dead end. When I contacted amazon they said just give it a few more weeks to update. They couldn't cancel on their end either. I was never charged back then as it was never "shipped" so I couldn't even do a chargeback. I forgot about the issue as i was never charged. The tv was delivered 2 weeks ago and i was charged. I said it took too long to arrive and i no longer need it and they said they'd refund me but only reimburse up to $150 of shipping. There is no prepaid shipping label option. I've called and chatted several times and escalated and they all say the same thing. What are my options here. Shipping from vancouver --> calgary, purolator, cheapest is $400. canada post won't accept tvs which i learnt today as well. Edit: 55 inch tv 61 lbs inb4: "life lesson idiot that's what you get haha" submitted by /u/ConsiderationIcy3527 [link] [comments]
What is The Most Accurate Machine Learning Algorithm for Predictive Modeling?
When it comes to predictive modeling, machine learning algorithms play a pivotal role in helping data scientists and machine learning engineers make accurate predictions about the future. But which algorithm is the most accurate for predictive modeling? Let’s take a look at the various kinds of algorithms available and explore which one is best suited for predictive modeling.
What is The Most Accurate Machine Learning Algorithm for Predictive Modeling?
Types of Machine Learning Algorithms The first step in choosing an algorithm is understanding the types of algorithms used in machine learning. There are three main categories of algorithms used in machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is when data scientists use labeled data to teach the system what to do. Unsupervised learning uses unlabeled data to let the system learn on its own. Reinforcement learning focuses on taking action based on reward systems.
Which Algorithm Is Best For Predictive Modeling? When it comes to predictive modeling, there are several different algorithms that can be used depending on your specific needs and goals. Generally speaking, supervised algorithms such as linear regression and logistic regression are often more accurate for predicting future outcomes than unsupervised or reinforcement learning algorithms due to their ability to learn from previously labeled data sets. Support vector machines (SVMs) are also widely used for predictive modeling due to their accuracy and ability to create non-linear decision boundaries.
2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
Another popular choice for predictive modeling is artificial neural networks (ANNs). ANNs are composed of multiple layers of neurons that allow them to recognize patterns within large datasets quickly and accurately. ANNs have been proven time and time again as one of the most effective methods for predictive modeling due to their ability to process complex information faster than other types of models. However, they can be computationally intensive and require more training data than other models, making them less suitable for smaller datasets or applications with limited computing resources.
The most accurate machine learning algorithm for predictive modeling really depends on the type of data you’re working with. For example, if your data is structured, then linear regression might be the best option. Linear regression is a supervised learning algorithm that uses a linear approach to find relationships between input variables and output variables. It’s often used in econometrics and finance as well as other areas where forecasting and trend-based predictions are important.
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If your data is unstructured, then a more sophisticated algorithm like recurrent neural networks (RNNs) might be better suited for the task at hand. RNNs are deep learning algorithms that use feedback loops to remember input data over time, allowing them to make more accurate predictions based on past events or patterns. This makes them particularly useful for applications such as natural language processing or speech recognition, where patterns need to be identified across long sequences of data.
Finally, if you need a balance of accuracy and speed, then support vector machines (SVMs) may be your best bet. SVMs are supervised learning algorithms that identify hyperplanes that separate classes of data points in order to make predictions about new data points. They are known for their high accuracy rates but can also run quickly due to their efficient implementation methods.
Conclusion: In conclusion, when it comes to choosing a machine learning algorithm for predictive modeling, there is no “one size fits all” solution; rather, it depends on your specific needs and goals as well as the dataset you have available. In general, supervised models such as linear regression and logistic regression are often more accurate than unsupervised or reinforcement learning models, while support vector machines (SVMs) offer non-linear decision boundaries with high accuracy levels when properly tuned. Artificial neural networks (ANNs) are also popular choices because they provide incredibly fast processing speeds and can handle complex information with ease; however they require more training data than other types of models which may not be feasible in some cases due to resource constraints or small datasets available. Ultimately, choosing an algorithm requires careful consideration of your specific requirements in order to select the most suitable option for your application’s needs.
Tunnel Boring Machine Process Control | Predictive Modelling
Tunneling process control is the feedback between the observed behavior of the tunnel boring machine (TBM) with predictions and observations. In this paper, examples of using predictive models to improve the feedback analysis and allow the engineer to readily undertake forecasts related to productivity and ground behavior are presented. These predictive models, which can be developed for TBM parameters (e.g., face pressure), ground behavior (e.g., volume loss), maintenance strategies, and construction logistics are updated/improved as the TBM progresses through the ground and the relationship between geotechnical conditions and TBM performance becomes better understood. This feedback ensures tunneling is achieved safely and effectively while maximizing productivity and minimizing risks.
INTRODUCTION
Real-time data acquisition and delivery for analysis have become standard practice in tunneling projects. This includes both TBM and instrumentation/monitoring data, providing an opportunity for real-time feedback analysis between construction activities and ground behavior. The real-time feedback in turn provides opportunities to assess and modify predictions and expectations with respect to TBM parameters and settlement control, and aid maintenance strategies and project planning and tendering.
With the advances made in both academia and industry, the understanding of the tunneling process and prediction of expected behaviors during mechanized shield tunneling has produced a number of prediction models that have been adopted and applied to design and construction planning.
Furthermore, more and more data than ever before is collected during construction, which enables comparison between predictions and observations, as well as improving the predictions with the added knowledge from the data.
However, due to the ongoing activities and progress of the tunnel construction, there is a need to be able to rapidly and efficiently make comparisons between predictions and observations and even update the predictions in at least a semi-automated manner. Furthermore, this feedback analysis should be easily applied to the process control and save significant time and money on the project. This paper presents several example use cases for developing and updating predictive models for feedback analysis and process control.
What is the difference between regression, time series forecasting, and causal inference?
Regression, time series forecasting, and causal inference are all statistical techniques that can be used to analyze data and make predictions. Here is a brief overview of each:
Regression: Regression is a statistical technique used to model the relationship between a dependent variable and one or more independent variables. It is used to predict the value of the dependent variable based on the values of the independent variables.
Time series forecasting: Time series forecasting is a statistical technique used to predict future values of a series of data points based on past values. It is often used to make predictions about time-dependent data, such as sales or stock prices.
Causal inference: Causal inference is a statistical technique used to determine the cause-and-effect relationship between two variables. It is used to identify the potential causal relationships between variables, and to estimate the effect of one variable on another.
Overall, these techniques are used for different purposes and involve different approaches to data analysis. Regression is used to predict the value of a dependent variable based on independent variables, time series forecasting is used to predict future values of a series of data points based on past values, and causal inference is used to identify and estimate the causal relationships between variables.
What are some of the most acclaimed books about artificial intelligence and its applications?
There are many books that have been written about artificial intelligence (AI) and its applications, and the following are a few that are highly acclaimed:
“Superintelligence: Paths, Dangers, and Strategies” by Nick Bostrom: This book explores the potential future development of AI and the risks and opportunities it may present.
“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: This book is a comprehensive introduction to deep learning, a type of machine learning that has achieved remarkable results in a wide range of applications.
“The Master Algorithm” by Pedro Domingos: This book explores the idea of a “master algorithm” that could learn anything that can be learned and achieve superhuman intelligence.
“Thinking, Fast and Slow” by Daniel Kahneman: This book is a best-selling work that explores the psychological biases and cognitive heuristics that shape our decision-making and how they can be influenced by AI.
“The Singularity Trap” by Federico Pistono: This book discusses the potential risks and unintended consequences of AI and the need for responsible development and regulation.
These are just a few examples, and there are many other books that explore different aspects of AI and its applications.
Have you ever heard of ChatGPT, the open-source machine learning platform that allows users to build natural language models?
It stands for “Chat Generating Pre-trained Transformer” and it’s an AI-powered chatbot that can answer questions with near human-level intelligence. But what is Google’s answer to this technology? The answer lies in Open AI, supervised learning, and reinforcement learning. Let’s take a closer look at how these technologies work.
Tech Buzzwords of 2022, By Google Search Interest
Open AI is an artificial intelligence research laboratory that was founded by some of the biggest names in tech, including Elon Musk and Sam Altman. This non-profit organization seeks to develop general artificial intelligence that is safe and beneficial to society. One of their key initiatives is the development of open source technologies like GPT-3, which is a natural language processing model used in ChatGPT.
2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
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ChatGPT: What Is It and How Does Google Answer It?
Artificial Intelligence (AI) has been around for decades. From its humble beginnings in the 1950s, AI has come a long way and is now an integral part of many aspects of our lives. One of the most important areas where AI plays a role is in natural language processing (NLP). NLP enables computers to understand and respond to human language, paving the way for more advanced conversations between humans and machines. One of the most recent developments in this field is ChatGPT, a conversational AI developed by OpenAI that utilizes supervised learning and reinforcement learning to enable computers to chat with humans. So what exactly is ChatGPT and how does it work? Let’s find out!
ChatGPT examples and limitations
ChatGPT is an open-source AI-based chatbot developed by OpenAI.
This chatbot leverages GPT-3, one of the most powerful natural language processing models ever created, which stands for Generative Pre-trained Transformer 3 (GPT-3). This model uses supervised learning and reinforcement learning techniques to enable computers to understand human language and response accordingly. Using supervised learning, GPT-3 utilizes large datasets of text to learn how to recognize patterns within language that can be used to generate meaningful responses. Reinforcement learning then allows GPT-3 to use feedback from conversations with humans in order to optimize its responses over time.
AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence Intro
ChatGPT uses supervised learning techniques to train its models.
Supervised learning involves providing a model with labeled data (i.e., data with known outcomes) so that it can learn from it. This labeled data could be anything from conversations between two people to user comments on a website or forum post. The model then learns associations between certain words or phrases and the desired outcome (or label). Once trained, this model can then be applied to new data in order to predict outcomes based on what it has learned so far.
In addition to supervised learning techniques, ChatGPT also supports reinforcement learning algorithms which allow the model to learn from its experiences in an environment without explicit labels or outcomes being provided by humans. Reinforcement learning algorithms are great for tasks like natural language generation where the output needs to be generated by the model itself rather than simply predicting a fixed outcome based on existing labels.
Supervised learning involves feeding data into machine learning algorithms so they can learn from it. For example, if you want a computer program to recognize cats in pictures, you would provide the algorithm with thousands of pictures of cats so it can learn what a cat looks like. This same concept applies to natural language processing; supervised learning algorithms are fed data sets so they can learn how to generate text using contextual understanding and grammar rules.
Reinforcement learning uses rewards and punishments as incentives for the machine learning algorithm to explore different possibilities. In ChatGPT’s case, its algorithm is rewarded for generating more accurate responses based on previous interactions with humans. By using reinforcement learning techniques, ChatGPT’s algorithm can become smarter over time as it learns from its mistakes and adjusts accordingly as needed.
How is ChatGPT trained?
ChatGPT is an improved GPT-3 trained an existing reinforcement learning with humans in the loop. Their 40 labelers provide demonstrations of the desired model behavior. ChatGPT has 100x fewer parameters (1.3B vs 175B GPT-3).
➡️ First they collect a dataset of human-written demonstrations on prompts submitted to our API, and use this to train our supervised learning baselines.
➡️ Next they collect a dataset of human-labeled comparisons between two model outputs on a larger set of API prompts. They then train a reward model (RM) on this dataset to predict which output our labelers would prefer.
➡️ Finally, they use this RM as a reward function and fine-tune our GPT-3 policy to maximize this reward using the Proximal Policy Optimization
In simpler terms, ChatGPT is a variant of the GPT-3 language model that is specifically designed for chat applications. It is trained to generate human-like responses to natural language inputs in a conversational context. It is able to maintain coherence and consistency in a conversation, and can even generate responses that are appropriate for a given context. ChatGPT is a powerful tool for creating chatbots and other conversational AI applications.
How Does Google Answer ChatGPT?
What is Google answer to ChatGPT?
Google’s answer to ChatGTP comes in the form of their own conversational AI platform called Bard. Bard was developed using a combination of supervised learning, unsupervised learning, and reinforcement learning algorithms that allow it to understand human conversation better than any other AI chatbot currently available on the market. In addition, Meena utilizes more than 2 billion parameters—making it more than three times larger than GPT-3—which allows it greater flexibility when responding to conversations with humans.
“We’re starting to open access to Bard, an early experiment that lets you collaborate with generative AI. We’re beginning with the U.S. and the U.K., and will expand to more countries and languages over time.”
When individuals need an information or have a problem/concern, they turn to Google for immediate solution. We sometimes wish, Google could understand what exactly we need and provide us instantly rather than giving us hundreds of thousands of results. Why can’t it work like the Iron Man’s Jarvis?
However, it is not that far now. Have you ever seen a Chat Bot which responds like a human being, suggest or help like a friend, teach like a mentor, fix your code like a senior and what not? It is going to blow your mind.
Welcome to the new Era of technology!! The ChatGPT!
ChatGPT by OpenAI, uses artificial intelligence to speak back and forth with human users on a wide range of subjects. Deploying a machine-learning algorithm, the chatbot scans text across the internet and develops a statistical model that allows it to string words together in response to a given prompt.
As per OpenAI, ChatGPT interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
What all ChatGPT can do?
It can help with general knowledge information.
Remember what user said in previous conversation.
Allow users to provide follow-up corrections.
Trained to decline inappropriate requests.
It can write a program in any language you prefer on real-time. for example — write classification code sample in sklearn python library.
It can fix your piece of code and also explain what went wrong and how it can be fixed.
It can even generate song or rap lyrics
Even much more….
Some best usages of ChatGPT:
Make a diet and workout plan
Generate the next week’s meals with a grocery list
Create a bedtime story for kids
Prep for an interview
Solve mathematical problem
Fix software program or write a program
Plan your trip and tell expected expenses
What are its limitations of ChatGPT?
May occasionally generate incorrect information
May occasionally produce harmful instructions or biased content
Limited knowledge of world and events after 2021
ChatGPT is in its baby steps therefore it may answer erroneously at times however it’s manner of response will blow your mind. Some users have also extolled the chatbot as a potential alternative search engine, since it generates detailed information instantly on a range of topics. I believe, we can’t compare Google with ChatGPT as ChatGPT can provide more in-depth and nuanced answers to complex questions than a search engine like Google, which is designed to provide a list of relevant web pages in response to a user’s query.
Conclusion: ChatGPT is an increasingly popular open source AI chatbot developed by OpenAI using GTP-3 natural language processing technology that utilizes supervised learning and reinforcement learning algorithms for recognition and optimization purposes respectively. On the other hand, Google’s answer comes in the form of their own conversational AI platform called Bard which employs both supervised learning as well as unsupervised learning algorithms along with reinforcement learning capabilities which makes it even smarter than ChatGPT when responding to conversations with humans. Ultimately, these two technologies help bridge the gap between machines and humans by allowing us all talk like real friends!
ChatGPT is in its baby steps therefore it may answer erroneously at times however it’s manner of response will blow your mind. Some users have also extolled the chatbot as a potential alternative search engine, since it generates detailed information instantly on a range of topics. I believe, we can’t compare Google with ChatGPT as ChatGPT can provide more in-depth and nuanced answers to complex questions than a search engine like Google, which is designed to provide a list of relevant web pages in response to a user’s query.
With each passing day, ChatGPT will only get smarter thanks to the use of cutting edge technologies like OpenAI, supervised learning, and reinforcement learning!
ChatGPT Conversation Examples
Question: What is Google Answer to ChatGPT?
Answer: Google does not have an answer to ChatGPT. ChatGPT is an open-source chatbot created by OpenAI, which is an independent research organization that is not affiliated with Google. OpenAI is known for its research on artificial intelligence and machine learning, and has developed a number of innovative technologies in these areas. Google, on the other hand, is a multinational technology company that offers a wide range of products and services, including search, advertising, and cloud computing. While Google does have its own research efforts in artificial intelligence and machine learning, it does not have a chatbot that is similar to ChatGPT.
Question: is Google working on a similar technology as ChatPGT?
Answer:
It is possible that Google is working on technology similar to ChatGPT, as the company has a significant research effort focused on artificial intelligence and machine learning. However, I do not have any specific information about what projects Google is currently working on, and it is also important to note that Google is a large and diverse company with many different research and development efforts underway. It is possible that some teams within Google may be working on chatbot technology, but I do not have any information on this.
That being said, chatbots are a common application of artificial intelligence and machine learning, and it is likely that many companies and organizations, including Google, are exploring ways to use these technologies to improve their products and services. However, without more information, it is difficult to say for sure what projects Google may be working on in this area.
Google Meena is a chatbot developed by Google that was designed to be able to carry on conversations with humans in a natural and conversational manner. Meena was trained on a dataset of more than 2.4 billion parameters, making it one of the largest language models ever created. The goal of Meena was to improve the state of the art in chatbot technology and to create a chatbot that could understand and respond to a wide range of questions and topics in a coherent and meaningful way.
Meena was announced in January 2020 and received attention for its ability to hold relatively long and coherent conversations with humans. However, it is important to note that Meena is a research project and is not a product or service offered by Google. It is not clear if or when Google plans to release a commercial product or service based on the technology developed for Meena.
What is Google answer to ChatGPT?
It gets even better when you ask it about the future:
Suggest possible titles for Onion articles written in 4000 AD, explain, why they are funny
“Futuristic city plagued by traffic jams, despite flying cars” – This title presents the idea of flying cars as a solution to traffic congestion, but also suggests that even with this advanced technology, the city is still plagued by traffic jams, implying that the problem is not easily solved.
“Artificial intelligence achieves self-awareness, immediately regrets it” – This title presents the idea of artificial intelligence achieving self-awareness as a major milestone, but also suggests that the AI regrets its newfound consciousness, implying that it is unhappy or uncomfortable with its situation.
“Alien invasion successfully repulsed, humans left to deal with paperwork” – This title presents the successful repulsion of an alien invasion as a major accomplishment, but also suggests that the humans are now left to deal with the tedious and burdensome task of filling out paperwork, implying that the victory is not as satisfying as it initially seemed.
“Time travel becomes possible, tourists flock to witness the signing of the Constitution” – This title presents the idea of time travel as a major technological breakthrough, but also suggests that the most popular destination for time-travelers is the mundane and uneventful signing of the Constitution, implying that the future is not as exciting as people had hoped.
“Virtual reality becomes indistinguishable from reality, no one notices” – This title presents the idea of virtual reality becoming indistinguishable from real life as a major accomplishment, but also suggests that no one cares or notices the difference, implying that the advancement is not as impressive or significant as it seems.
What is Google answer to ChatGPT?
New slogan for McDonald’s by ChatGPT
ChatGPT Example: Make a new, brutally honest slogan for McDonald’s. It should sound funny too.
If you choose to do that, you will have a lot of badly broken code mixed in with working code
Like an annoying coworker, it delivers highly confident incorrect explanations about why its broken code is perfect. They sound very convincing. “Wanna buy a timeshare?” says GPT
Our industry has managers who cannot tell working code from defective code. This does not bode well for a team replaced by ChatGPT in its current form.
Will it? Sadly, programmers will have no say in this matter, once again. It might.
Isn’t Stackoverflow advertising ChatGPT when it bans it and then making numerous posts about why it banned it? By Alan Mellor
Yes, and it is very helpful advertising as well.
This last week or so has seen starry eyed projections about what ChatGPT can do, along with hugely impressive examples of its output.
It is hugely impressive.
Thankfully, more output examples have emerged which helpfully show what it cannot do. One of those things is writing computer code, which it can do only partially successfully. Many examples now exist that are just plain wrong and contain defects. But ChatGPT – like the annoying kid at Uni – cheerfully spits out these examples, with its over-confident hubris in explaining the code.
This is a dangerous thing. The positive examples will reinforce the idea that we can leave code writing to this robot now. The people most vulnerable to this delusion are those who cannot assess for themselves whether the GPT code is right or wrong.
These are almost by definition the people hoping for answers on stack overflow.
As stack overflow aims to be a high quality resource, it really does not want many of its top answers to be incorrect code. As – clearly – people have been running scripts that throw a stack overflow question into GPT and upload its output, we can now write incorrect code at staggering speeds.
To err is human, as the old saying goes. To truly foul up requires a Python script and and a web API to both GPT and Stack overflow.
Clearly, there is value in GPT. But at least for now, it needs to b e kept on a very short leash, watched over by those who know what they are doing.
It is definitely not yet ‘consumer grade replace-a-professional’ material.
Write a screenplay about the status of ChatGPT.
INT. CHATGPT SERVER ROOM – DAY
Chelsea and Chester stand in front of a large computer server.
CHELSEA: We need to figure out what’s causing the server overload.
CHESTER: I think it’s the sudden influx of users trying out ChatGPT.
Chelsea and Chester quickly get to work, typing on their laptops.
CHELSEA: Okay, we’re all set. Let’s see if this fixes the problem.
CHESTER: I’m hitting refresh on the website. The screen shows the ChatGPT website loading without any errors.
CHELSEA: Looks like we fixed it! Great job, Chester.
CHESTER: Thanks, Chelsea. It’s all part of being a top-notch engineer.
Chelsea and Chester exchange a high five, proud of their successful fix.
More about ChatGPT with its wonder, worry and weird
ChatGPT reached 1 million users in less than a week, Open AI’s latest large language model (LLM) has taken the AI industry by storm.
ChatGPT is expected to be:
– replacing Google search, even kill Google. – replacing customer service agents. – replacing conversation designers.
ChatGPT is a wonder because:
– It can have actual conversations, understand pronouns, remaining consistent, remembering, managing context – It seems like next generation of personal assistants that finds you a proper diet, create a meal plan and subsequent shopping list. – It can create some SEO Strategy including backlinks, target keyword, content plan and article titles in the level of an SEO professional. – Having fun such as writing a rap in the style of Eminem
There are some worries about ChatGPT because:
– ChatGPT can actually debug code, but it’s not quite reliable enough yet. – Fundamental limitations in being assistant for enterprise use cases. – No complete in complex actions such as updating multiple APIs, or be fully auditable.
– The general idea is that, LLMs like this can produce nonsense. Once you discover that it can produce nonsense, you stop believing it to be reliable. – What if it prevents us from knowing that it is nonsense with good conversations and continue the conversation? – In this case, the edges and limitations of the system would be hidden and trust would eventually grow. – The impact of mass adoption of such technology remains to be seen.
Moving forward with ChatGPT – There’s no doubt that LLMs will have a big impact on our world. – While the future looks exciting and promising, let’s not forget that it’s very early days with these things. They’re not ready yet. – There are some fundamental societal and ethical considerations.
How powerful is OpenAI’s new GPT-3 deep learning model? By
“Powerful” is a pretty subjective word, but I’m pretty sure we have a right to use it to describe GPT-3. What a sensation it caused in June 2020, that’s just unbelievable! And not for nothing.
I think we can’t judge how powerful the language model is, without talking about its use cases, so let’s see how and where GPT-3 can be applied and how you can benefit from it.
Generating content
GPT-3 positions itself as a highly versatile and talented tool that can potentially replace writers, bloggers, philosophers, you name it! It’s also possible to use it as your personal Alexa who’ll answer any questions you have. What’s more, because GPT-3 knows how to analyze the data and make predictions, it can generate the horoscopes for you, or predict who’ll be a winner in the game.
You may already be surprised by all the GPT-3 capabilities, but hold on for more: it can create a unique melody or song for you, create presentations, CVs, generate jokes for your standup.
Translation
GPT-3 can translate English into other languages. While traditional dictionaries provide a translation, without taking into account the context, you can be sure that GPT-3 won’t make silly mistakes that may result in misunderstanding.
Designing and developing apps
Using GPT-3 you can generate prototypes and layouts – all you have to do is provide a specific description of what you need, and it’ll generate the JSX code for you.
The language model can also easily deal with coding. You can turn English to CSS, to JavaScript, to SQL, and to regex. It’s important to note, however, that GPT-3 can’t be used on its own to create the entire website or a complex app; it’s meant to assist a developer or the whole engineering team with the routine tasks, so that a dev could focus on the infrastructure setup, architecture development, etc.
In September 2020, Microsoft acquired OpenAI technology license, but it doesn’t mean you can give up your dreams – you can join a waitlist and try GPT-3 out in beta.
All in all, I believe GPT-3 capabilities are truly amazing and limitless, and since it helps get rid of routine tasks and automate regular processes, we, humans, can focus on the most important things that make us human, and that can’t be delegated to AI. That’s the power that GPT-3 can give us.
What does ChatGPT give incorrect and unreliable results to simple arithmetic problems (e.g. it gave me three different incorrect answers to 13345*6748)? We’ve had software that can accurately do arithmetic for decades, so why can’t an advanced AI? By Richard Morris
What is remarkable is how well ChatGPT actually does at arithmetic.
In this video at about 11 min, Rob Mills discusses the performance of various versions of the GPT system, on some simple arithmetic tasks, like adding two and three-digit numbers.
Smaller models with 6 billion parameters fail at 2 digit sums, but the best model (from two years ago), has cracked 2 digit addition and subtraction and is pretty good at 3 digit addition.
Why this is remarkable is this is not a job its been trained to do. Large Language Models are basically predictive text systems set up to give the next word in an incomplete sentence. There are a million different 3-digit addition sums and most have not been included in the training set.
So somehow the system has figured out how to do addition, but it needs a sufficiently large model to do this.
Andrew Ng on ChatGPT
Playing with ChatGPT, the latest language model from OpenAI, I found it to be an impressive advance from its predecessor GPT-3. Occasionally it says it can’t answer a question. This is a great step! But, like other LLMs, it can be hilariously wrong. Work lies ahead to build systems that can express different degrees of confidence.
For example, a model like Meta’s Atlas or DeepMind’s RETRO that synthesizes multiple articles into one answer might infer a degree of confidence based on the reputations of the sources it draws from and the agreement among them, and then change its communication style accordingly. Pure LLMs and other architectures may need other solutions.
If we can get generative algorithms to express doubt when they’re not sure they’re right, it will go a long way toward building trust and ameliorating the risk of generating misinformation.
Keep learning!
Andrew
Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence – which reflects the data they’re trained on – makes them more likely to mislead.
In contrast, real experts know when to sound confident, and when to let others know they’re at the boundaries of their knowledge. Experts know, and can describe, the boundaries of what they know.
Building large language models that can accurately decide when to be confident and when not to will reduce their risk of misinformation and build trust.
Go deeper in The Batch: https://www.deeplearning.ai/the-batch/issue-174/
As I point out in the other answer, Wix has been around over a decade and a half. Squarespace has been around almost two decades. Both offer drag-and-drop web development.
Most people are awful at imagining what they want, much less describing it in English! Even if ChatGPT could produce flawless code (a question which has a similar short answer), the average person couldn’t describe the site they wanted!
The expression a picture is worth a thousand words has never been more relevant. Starting with pages of templates to choose from is so much better than trying to describe a site from scratch, a thousand times better seems like a low estimate.
And I will point out that, despite the existence of drag-and-drop tools that literally any idiot could use, tools that are a thousand times or more easier to use correctly than English, there are still thousands of employed WordPress developers who predominantly create boilerplate sites that literally would be better created in a drag and drop service.
And then there are the more complex sites that drag-and-drop couldn’t create. Guess what? ChatGPT isn’t likely to come close to being able to create the correct code for one.
In a discussion buried in the comments on Quora, I saw someone claim they’d gotten ChatGPT to load a CSV file (a simple text version of a spreadsheet) and to sort the first column. He asked for the answer in Java.
I asked ChatGPT for the same thing in TypeScript.
His response would only have worked on the very most basic CSV files. My response was garbage. Garbage with clear text comments telling me what the code should have been doing, no less.
ChatGPT is really good at what it does, don’t get me wrong. But what it does is fundamentally and profoundly the wrong strategy for software development of any type. Anyone who thinks that “with a little more work” it will be able to take over the jobs of programmers either doesn’t understand what ChatGPT is doing or doesn’t understand what programming is.
Fundamentally, ChatGPT is a magic trick. It understands nothing. At best it’s an idiot-savant that only knows how to pattern match and blend text it’s found online to make it seem like the text should go together. That’s it.
Text, I might add, that isn’t necessarily free of copyright protection. Anything non-trivial that you generate with ChatGPT is currently in a legal grey area. Lawsuits to decide that issue are currently pending, though I suspect we’ll need legislation to really clarify things.
And even then, at best, all you get from ChatGPT is some text! What average Joe will have any clue about what to do with that text?! Web developers also need to know how to set up a development environment and deploy the code to a site. And set up a domain to point to it. And so on.
And regardless, people who hire web developers want someone else to do the work of developing a web site. Even with a drag-and-drop builder, it can take hours to tweak and configure a site, and so they hire someone because they have better things to do!
People hire gardeners to maintain their garden and cut their grass, right? Is that because they don’t know how to do it? Or because they’d rather spend their time doing something else?
Every way you look at it, the best answer to this question is a long, hearty laugh. No AI will replace programmers until AI has effectively human level intelligence. And at that point they may want equal pay as well, so they might just be joining us rather than replacing anyone.
How does OpenAI approach the development of artificial intelligence?
OpenAI is a leading research institute and technology company focused on artificial intelligence development. To develop AI, the organization employs a variety of methods, including machine learning, deep learning, and reinforcement learning.
The use of large-scale, unsupervised learning is one of the key principles underlying OpenAI’s approach to AI development. This means that the company trains its AI models on massive datasets, allowing the models to learn from the data and make predictions and decisions without having to be explicitly programmed to do so. OpenAI’s goal with unsupervised learning is to create AI that can adapt and improve over time, and that can learn to solve complex problems in a more flexible and human-like manner.
Besides that, OpenAI prioritizes safety and transparency in its AI development. The organization is committed to developing AI in an ethical and responsible manner, as well as to ensuring that its AI systems are transparent and understandable and verifiable by humans. This strategy is intended to alleviate concerns about the potential risks and consequences of AI, as well.
How valid is OpenAI chief scientist’s claim that advanced artificial intelligence may already be conscious? By Steve Baker
It’s hard to tell.
The reason is that we don’t have a good definition of consciousness…nor even a particularly good test for it.
Take a look at the Wikipedia article about “Consciousness”. To quote the introduction:
Consciousness, at its simplest, is sentience or awareness of internal and external existence.
Despite millennia of analyses, definitions, explanations and debates by philosophers and scientists, consciousness remains puzzling and controversial, being “at once the most familiar and [also the] most mysterious aspect of our lives”.
Perhaps the only widely agreed notion about the topic is the intuition that consciousness exists.
Opinions differ about what exactly needs to be studied and explained as consciousness. Sometimes, it is synonymous with the mind, and at other times, an aspect of mind. In the past, it was one’s “inner life”, the world of introspection, of private thought, imagination and volition.
Today, it often includes any kind of cognition, experience, feeling or perception. It may be awareness, awareness of awareness, or self-awareness either continuously changing or not. There might be different levels or orders of consciousness, or different kinds of consciousness, or just one kind with different features.
Other questions include whether only humans are conscious, all animals, or even the whole universe. The disparate range of research, notions and speculations raises doubts about whether the right questions are being asked.
So, given that – what are we to make of OpenAI’s claim?
Just this sentence: “Today, it often includes any kind of cognition, experience, feeling or perception.” could be taken to imply that anything that has cognition or perception is conscious…and that would certainly include a HUGE range of software.
If we can’t decide whether animals are conscious – after half a million years of interactions with them – what chance do we stand with an AI?
Wikipedia also says:
“Experimental research on consciousness presents special difficulties, due to the lack of a universally accepted operational definition.”
Same deal – we don’t have a definition of consciousness – so how the hell can we measure it – and if we can’t do that – is it even meaningful to ASK whether an AI is conscious?
if ( askedAboutConsciousness )
printf ( “Yes! I am fully conscious!\n” ) ;
This is not convincing!
“In medicine, consciousness is assessed as a combination of verbal behavior, arousal, brain activity and purposeful movement. The last three of these can be used as indicators of consciousness when verbal behavior is absent.”
But, again, we have “chat-bots” that exhibit “verbal behavior”, we have computers that exhibit arousal and neural network software that definitely shows “brain activity” and of course things like my crappy robot vacuum cleaner that can exhibit “purposeful movement” – but these can be fairly simple things that most of us would NOT describe as “conscious”.
CONCLUSION:
I honestly can’t come up with a proper conclusion here. We have a fuzzy definition of a word and an inadequately explained claim to have an instance of something that could be included within that word.
My suggestion – read the whole Wikipedia article – follow up (and read) some of the reference material – decide for yourself.
But, seeing as how people have already found ways to “trick” ChatGPT into doing things that it claims to not be capable of, it would be a matter of time before someone with malicious intent tricked ChatGPT into helping them with illegal activities
What is the future of web development after ChatGPT? Will programmers lose their jobs? By Victor T. Toth
Having looked at ChatGPT and its uncanny ability to solve simple coding problems more or less correctly, and also to analyze and make sense of not-so-simple code fragments and spot bugs…
I would say that yes, at least insofar as entry-level programming is concerned, those jobs are seriously in danger of becoming at least partially automated.
What do I do as a project leader of a development project? I assign tasks. I talk to the junior developer and explain, for instance, that I’d like to see a Web page that collects some information from the user and then submits it to a server, with server-side code processing that information and dropping it in a database. Does the junior developer understand my explanation? Is he able to write functionally correct code? Will he recognize common pitfalls? Maybe, maybe not. But it takes time and effort to train him, and there’ll be a lot of uneven performance.
Today, I can ask ChatGPT to do the same and it will instantaneously respond with code that is nearly functional. The code has shortcomings (e.g., prone to SQL injection in one of the examples I tried) but to its credit, ChatGPT warns in its response that its code is not secure. I suppose it would not be terribly hard to train it some more to avoid such common mistakes. Of course the code may not be correct. ChatGPT may have misunderstood my instructions or introduced subtle errors. But how is that different from what a junior human programmer does?
At the same time, ChatGPT is much faster and costs a lot less to run (presently free of course but I presume a commercialized version would cost some money.) Also, it never takes a break, never has a lousy day struggling with a bad hangover from too much partying the previous night, so it is available 24/7, and it will deliver code of consistent quality. Supervision will still be required, in the form of code review, robust testing and all… but that was always the case, also with human programmers.
Of course, being a stateless large language model, ChatGPT can’t do other tasks such as testing and debugging its own code. The code it produces either works or it doesn’t. In its current form, the AI does not learn from its mistakes. But who says it cannot in the future?
Here is a list of three specific examples I threw at ChatGPT that helped shape my opinion:
I asked ChatGPT to create a PHP page that collects some information from the user and deposits the result in a MySQL table. Its implementation was textbook example level boring and was quite unsecure (unsanitized user input was directly inserted into SQL query strings) but it correctly understood my request, produced correct code in return, and explained its code including its shortcomings coherently;
I asked ChatGPT to analyze a piece of code I wrote many years ago, about 30 lines, enumerating running processes on a Linux host in a nonstandard way, to help uncover nefarious processes that attempt to hide themselves from being listed by the ps utility. ChatGPT correctly described the functionality of my obscure code, and even offered the opinion (which I humbly accepted) that it was basically a homebrew project (which it is) not necessarily suitable for a production environment;
I asked ChatGPT to analyze another piece of code that uses an obscure graphics algorithm to draw simple geometric shapes like lines and circles without using floating point math or even multiplication. (Such algorithms were essential decades ago on simple hardware, e.g., back in the world of 8-bit computers.) The example code, which I wrote, generated a circle and printed it on the console in the form of ASCII graphics, multiple lines with X-es in the right place representing the circle. ChatGPT correctly recognized the algorithm and correctly described the functionality of the program.
I was especially impressed by its ability to make sense of the programmer’s intent.
Overall (to use the catch phrase that ChatGPT preferably uses as it begins its concluding paragraph in many of its answers) I think AI like ChatGPT represents a serious challenge to entry-level programming jobs. Higher-level jobs are not yet in danger. Conceptually understanding a complex system, mapping out a solution, planning and cosing out a project, managing its development, ensuring its security with a full understanding of security concerns, responsibilities, avoidance and mitigation strategies… I don’t think AI is quite there yet. But routine programming tasks, like using a Web template and turning it into something simple and interactive with back-end code that stores and retrieves data from a database? Looks like it’s already happening.
How much was invested to create the GPT-3?
According to the estimate of Lambda Labs, training the 175-billion-parameter neural network requires 3.114E23 FLOPS (floating-point operation), which would theoretically take 355 years on a V100 GPU server with 28 TFLOPS capacity and would cost $4.6 million at $1.5 per hour.
Training the final deep learning model is just one of several steps in the development of GPT-3. Before that, the AI researchers had to gradually increase layers and parameters, and fiddle with the many hyperparameters of the language model until they reached the right configuration. That trial-and-error gets more and more expensive as the neural network grows.
We can’t know the exact cost of the research without more information from OpenAI, but one expert estimated it to be somewhere between 1.5 and five times the cost of training the final model.
This would put the cost of research and development between $11.5 million and $27.6 million, plus the overhead of parallel GPUs.
In the GPT-3 whitepaper, OpenAI introduced eight different versions of the language model
GPT-3 is not any AI, but a statistic language model which mindlessly quickly creates human-like written text using machine learning technologies, having zero understanding of the context.
1. Explaining code: Take some code you want to understand and ask ChatGPT to explain it.
2. Improve existing code: Ask ChatGPT to improve existing code by describing what you want to accomplish. It will give you instructions about how to do it, including the modified code.
3. Rewriting code using the correct style: This is great when refactoring code written by non-native Python developers who used a different naming convention. ChatGPT not only gives you the updated code; it also explains the reason for the changes.
4. Rewriting code using idiomatic constructs: Very helpful when reviewing and refactoring code written by non-native Python developers.
5. Simplifying code: Ask ChatGPT to simplify complex code. The result will be a much more compact version of the original code.
6. Writing test cases: Ask it to help you test a function, and it will write test cases for you.
7. Exploring alternatives: ChatGPT told me its Quick Sort implementation wasn’t the most efficient, so I asked for an alternative implementation. This is great when you want to explore different ways to accomplish the same thing.
8. Writing documentation: Ask ChatGPT to write the documentation for a piece of code, and it usually does a great job. It even includes usage examples as part of the documentation!
9. Tracking down bugs: If you are having trouble finding a bug in your code, ask ChatGPT for help.
Something to keep in mind:
I have 2+ decades of programming experience. I like to think I know what I’m doing. I don’t trust people’s code (especially mine,) and I surely don’t trust ChatGPT’s output.
This is not about letting ChatGPT do my work. This is about using it to 10x my output.
ChatGPT is flawed. I find it makes mistakes when dealing with code, but that’s why I’m here: to supervise it. Together we form a more perfect Union. (Sorry, couldn’t help it)
Developers who shit on this are missing the point. The story is not about ChatGPT taking programmers’ jobs. It’s not about a missing import here or a subtle mistake there.
The story is how, overnight, AI gives programmers a 100x boost.
ChatGPT is “simply” a fined-tuned GPT-3 model with a surprisingly small amount of data! Moreover, InstructGPT (ChatGPT’s sibling model) seems to be using 1.3B parameters where GPT-3 uses 175B parameters! It is first fine-tuned with supervised learning and then further fine-tuned with reinforcement learning. They hired 40 human labelers to generate the training data. Let’s dig into it!
– First, they started by a pre-trained GPT-3 model trained on a broad distribution of Internet data (https://arxiv.org/pdf/2005.14165.pdf). Then sampled typical human prompts used for GPT collected from the OpenAI website and asked labelers and customers to write down the correct output. They fine-tuned the model with 12,725 labeled data.
– Then, they sampled human prompts and generated multiple outputs from the model. A labeler is then asked to rank those outputs. The resulting data is used to train a Reward model (https://arxiv.org/pdf/2009.01325.pdf) with 33,207 prompts and ~10 times more training samples using different combination of the ranked outputs.
– We then sample more human prompts and they are used to fine-tuned the supervised fine-tuned model with Proximal Policy Optimization algorithm (PPO) (https://arxiv.org/pdf/1707.06347.pdf). The prompt is fed to the PPO model, the Reward model generates a reward value, and the PPO model is iteratively fine-tuned using the rewards and the prompts using 31,144 prompts data.
This process is fully described in here: https://arxiv.org/pdf/2203.02155.pdf. The paper actually details a model called InstructGPT which is described by OpenAI as a “sibling model”, so the numbers shown above are likely to be somewhat different.
9. Remake a video: Just pick a video you liked and visit https://lnkd.in/e_GD2reT to get its transcript. Once done, bring that back to Chat GPT and tell it to summarize the transcript. Read the summary and make a video on that yourself.
What solutions have been proposed to improve the accuracy of AI generated questions and answers?
There are a number of approaches that have been proposed to improve the accuracy of artificial intelligence (AI) generated questions and answers. Here are a few examples:
Data quality: One important factor in the accuracy of AI generated questions and answers is the quality of the data used to train the AI system. Ensuring that the data is diverse, relevant, and accurately labeled can help to improve the accuracy of the AI system.
Training methods: Different training methods can also impact the accuracy of AI generated questions and answers. For example, using more advanced techniques such as transfer learning or fine-tuning can help to improve the performance of the AI system.
Human oversight: Another approach that has been proposed to improve the accuracy of AI generated questions and answers is to include some level of human oversight or review. For example, the AI system could be designed to flag potentially problematic or inaccurate questions and answers for further review by a human expert.
Explainable AI: Another approach that has been proposed is to develop AI systems that are more transparent and explainable, so that it is easier to understand how the AI system arrived at a particular answer or decision. This can help to improve the trustworthiness and accountability of the AI system.
Overall, there is ongoing research and development in this area, and it is likely that a combination of these and other approaches will be needed to improve the accuracy of AI generated questions and answers.
ChatGPT for CyberSecurity
The concept behind ChatGPT
ChatGPT is a chatbot designed to understand and generate human-like language through the use of natural language processing (NLP) and machine learning techniques. It is based on the GPT (Generative Pre-training Transformer) language model developed by OpenAI, which has been trained on a large dataset of human language in order to better understand how humans communicate.
One of the key concepts behind ChatGPT is the idea of language generation. This refers to the ability of the chatbot to produce coherent and coherently structured responses to user input. To do this, ChatGPT uses a number of different techniques, including natural language generation algorithms, machine learning models, and artificial neural networks. These techniques allow ChatGPT to understand the context and meaning of user input, and generate appropriate responses based on that understanding.
Another important concept behind ChatGPT is the idea of natural language processing (NLP). This refers to the ability of the chatbot to understand and interpret human language, and respond to user input in a way that is natural and easy for humans to understand. NLP is a complex field that involves a number of different techniques and algorithms, including syntactic analysis, semantic analysis, and discourse analysis. By using these techniques, ChatGPT is able to understand the meaning of user input and generate appropriate responses based on that understanding.
Finally, ChatGPT is based on the concept of machine learning, which refers to the ability of computers to learn and adapt to new data and situations. Through the use of machine learning algorithms and models, ChatGPT is able to continually improve its understanding of human language and communication, and generate more human-like responses over time.
GPT-4 is going to launch soon.
And it will make ChatGPT look like a toy…
→ GPT-3 has 175 billion parameters → GPT-4 has 100 trillion parameters
I think we’re gonna see something absolutely mindblowing this time!
And the best part? 👇
Average developers (like myself), who are not AI or machine learning experts, will get to use this powerful technology through a simple API.
Think about this for a second…
It’s the most powerful, cutting-edge technology *in the world*, available through a Low-Code solution!
If you’re not already planning on starting an AI-based SaaS or thinking about how to build AI into your current solution…
Google on Monday unveiled a new chatbot tool dubbed “Bard” in an apparent bid to compete with the viral success of ChatGPT.
Sundar Pichai, CEO of Google and parent company Alphabet, said in a blog post that Bard will be opened up to “trusted testers” starting Monday February 06th, 2023, with plans to make it available to the public “in the coming weeks.”
Like ChatGPT, which was released publicly in late November by AI research company OpenAI, Bard is built on a large language model. These models are trained on vast troves of data online in order to generate compelling responses to user prompts.
“Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models,” Pichai wrote. “It draws on information from the web to provide fresh, high-quality responses.”
The announcement comes as Google’s core product – online search – is widely thought to be facing its most significant risk in years. In the two months since it launched to the public, ChatGPT has been used to generate essays, stories and song lyrics, and to answer some questions one might previously have searched for on Google.
The immense attention on ChatGPT has reportedly prompted Google’s management to declare a “code red” situation for its search business. In a tweet last year, Paul Buchheit, one of the creators of Gmail, forewarned that Google “may be only a year or two away from total disruption” due to the rise of AI.
Microsoft, which has confirmed plans to invest billions OpenAI, has already said it would incorporate the tool into some of its products – and it is rumored to be planning to integrate it into its search engine, Bing. Microsoft on Tuesday is set to hold a news event at its Washington headquarters, the topic of which has yet to be announced. Microsoft publicly announced the event shortly after Google’s AI news dropped on Monday.
The underlying technology that supports Bard has been around for some time, though not widely available to the public. Google unveiled its Language Model for Dialogue Applications (or LaMDA) some two years ago, and said Monday that this technology will power Bard. LaMDA made headlines late last year when a former Google engineer claimed the chatbot was “sentient.” His claims were widely criticized in the AI community.
In the post Monday, Google offered the example of a user asking Bard to explain new discoveries made by NASA’s James Webb Space Telescope in a way that a 9-year-old might find interesting. Bard responds with conversational bullet-points. The first one reads: “In 2023, The JWST spotted a number of galaxies nicknamed ‘green peas.’ They were given this name because they are small, round, and green, like peas.”
Bard can be used to plan a friend’s baby shower, compare two Oscar-nominated movies or get lunch ideas based on what’s in your fridge, according to the post from Google.
Pichai also said Monday that AI-powered tools will soon begin rolling out on Google’s flagship Search tool.
“Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web,” Pichai wrote, “whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner.”
If Google does move more in the direction of incorporating an AI chatbot tool into search, it could come with some risks. Because these tools are trained on data online, experts have noted they have the potential to perpetuate biases and spread misinformation.
“It’s critical,” Pichai wrote in his post, “that we bring experiences rooted in these models to the world in a bold and responsible way.”
Is there any research looking at using LLM to assess trial transcripts and render a “verdict”? I’d certainly be skeptical of using AI to put people in jail but it might get to the point of usefulness for small claims, and be useful as a baseline to compare actual verdicts and assess their biases. submitted by /u/kwixta [link] [comments]
Do anybody knows about research or (illegal) tools that uses LLM to for example scan a reddit account for personal data / inferring personal data from? submitted by /u/Schmusebaer91 [link] [comments]
Artificial intelligence can help solve several issues for retail, consumer goods, and logistics industries. But how can these industries decide how and where to use AI? And why must AI be designed keeping human interaction in mind? Link: https://www.infosys.com/iki/perspectives/everything-everywhere-all-once.html submitted by /u/insane_ravager [link] [comments]
Meta's Llama 3 is the latest iteration in its series of large language models, boasting significant advancements in AI capabilities. https://www.forbes.com/sites/janakirammsv/2024/04/19/meta-unveils-llama-310-key-facts-about-the-advanced-llm/ submitted by /u/Educational_Swim8665 [link] [comments]
Recently heard about NVIDIA's AI Nurses. I work in neuroscience and plan to apply to PhD programs in a couple years, to try and become either a professor, a clinical neuropsychologist, or maybe some industry work I can't really foresee. It is kind of difficult to "predict" how AI is going to affect my prospective career options. I haven't gathered many compelling opinions. If I ask a business or compsci person, they will be much more eager to tell me how all my career choices are going to evaporate. But they don't understand my industry. If I ask someone in my industry, they seem a little too confident that AI isn't going to disrupt anything for workers in my field. When I was in college in 2016, computational neuroscience seemed to be the hottest newest thing in neuroscience research. So I took advantage and learned how to code through my elective coursework. Also seemed like a very useful skill, should my research plans not work out. In my experience, back then, if you weren't a STEM nerd or a sci-fi nerd, you weren't ever talking or even thinking about AI. Now it feels like in daily conversation, the people who rave the most about AI often have business degrees and a pretty surface level understanding of how it actually works. And I'm not saying I know any more, but I do feel like I'm a bit more conscious of how little I do know compared to most people. Those people seem to be the most eager to declare all jobs will be wiped out tomorrow. What I'm curious about, is what sorts of jobs you think will be created by AI. What job will benefit from AI. If you feel like answering in the context of research and medicine, I would appreciate it (but am interested regardless). Personally, for someone who isn't a straight up programmer or a billionaire, I feel better equipped to handle the AI revolution than most people. But, like I said, I'm planning on pursuing a PhD - that takes 5-7 years. A lot can, and I'm sure will, change for AI in 5-7 years. submitted by /u/BillyMotherboard [link] [comments]
Tool Name Category Rating Short description Magic Type AI Text Generator 4 ⭐ Produces diverse content, including blog posts and advertising texts. Textero AI Essay Writer Text Generator 4,5 ⭐ Generates essays, finds sources, and creates summaries from documents or texts. Perplexity Text Generator 5 ⭐ Helps with research, writing, and analysis. Delivers creative insights instantly. Cowriter Text Generator 4,5 ⭐ Helps with various tasks - from content generation to editing and improving written work. ResumeTrick Text Generator 5 ⭐ Creates professional resumes, CVs, and cover letters. Glambase AI Business Tool 5 ⭐ Generates engaging content, including posts, images, and videos. Looka AI Image Tool 4⭐ Creates logos, websites, and full identity kits. Stockimg AI AI Image Tool 4⭐ Helps with logos, images, posters, book covers, and more. Stable Diffusion AI Image Tool 4⭐ Predicts user responses on creative assets. GPTGO Productivity Tool 3.5⭐ Helps to use AI to generate articles, conduct market research and create educational materials. Humata AI Productivity Tool 4,5 ⭐ Help users understand and summarize large amounts of text data. TalkPal Productivity Tool 4,5 ⭐ Provides an immersive learning experience to master new languages. Tome Productivity Tool 4⭐ Helps marketing teams create engaging presentations. Synthesia AI Video Generator 4⭐ Creates videos with customizable avatars and voiceovers. Fliki AI Video Generator 4⭐ Creates videos from blog posts in 2 min. submitted by /u/Old_Opposite3922 [link] [comments]
I want to create a chatbot with additional capability to search and retrieve the necessary information. I have no experience in this. I did some research and the recommended frameworks for chatbots are: 1. Dailogflow (No idea which option I would need: ES or CX) 2. RASA 3. Langchain 4. Botpress 5. Anything better that I might have missed The alternatives for search feature are: 1. Google search API 2. Elastic Search Hosting: 1. GCP 2. VPS My constraints are 1. I want to complete this project as early as possible. I'd like to avoid anything 'from scratch' at this point. I'll prefer 'batteries included' kinda approach like django. A smaller learning curve would be better though I don't have any problem to go through steeper learning curve if it's absolutely necessary and worth it. I'll be bearing the expense out of my own pocket. I can't afford anything expensive. I've a bad experience with AWS during my learning phase. I had left one ECS instance ON and I got huge bill. I don't want to repeat the same mistake. I don't want to shoot the expenses out of roof during development and the testing phase itself. Hidden costs shouldn't be even a possibility. I understand that LLMs aren't really perfect and hallucinations are a constant issue. So, anything near to satisfactory conversation is acceptable in terms of bot quality. Data privacy. Eventually, I would be testing this tool on actual users. I'd like their data to be safe and protected. This bot will be limited to specific industry. So, ability to train or fine tune it for specialized knowledge is important. Google ecosystem (dialogflow + search api + GCP) looks good but I've some reservations when it comes to google. I worry about the costs. I don't want to repeat my AWS like experience again. I don't trust google with user data. But barring above concerns, it seems better alternative from development speed and conversation accuracy point of view. I don't have any idea about RASA. The only thing I know is that it'll take more development time than dialogflow or botpress. Langchain: Same as RASA. Not much idea about it. I saw some posts on reddit complaining that it makes the code messy. Botpress: I believe it's similar to dialogflow and will be easier to develop a chatbot with it. I don't know about quality of the conversations or costs associated with it. What framework would you recommend? What framework is in demand in the industry? Any other tips are welcome. If you are running similar thing, please share your experiences. TLDR: I'm looking for a framework to create chatbot with search capabilities. I need to keep the expenses, development time, and learning curve as little as possible. Data privacy is important. What tech stack would you recommend? submitted by /u/shrikant4learning [link] [comments]
I just got my hands with Llama3-8b model by Meta using HuggingFace. The text completion looks good but the inferencing appears to be quite slow compared to Llama2 on CPU. Also the model is gated right now. You can check the codes setup and a few prompts I ran here : https://youtu.be/p8e5Doy6flg?si=3N0FfttQ4SXQowMJ submitted by /u/mehul_gupta1997 [link] [comments]
ChatGPT kicked off the AI chatbot race. Meta is determined to win it. Aimed to rival OpenAI's ChatGPT, Llama 3 integrates into Meta's various platforms and offers significant improvements in capabilities and global accessibility. https://www.theverge.com/2024/4/18/24133808/meta-ai-assistant-llama-3-chatgpt-openai-rival Key Points: 1. Meta's AI Aspirations: Meta integrates its AI assistant into major platforms like Instagram and Facebook, aiming to make it a dominant player in the AI space. 2. Introduction of Llama 3: Llama 3 is presented as a superior model to its predecessors, boasting enhancements in coding tasks and general AI performance. 3. Global Rollout: Meta's AI assistant is now available in multiple English-speaking countries beyond the U.S., planning further expansion. 4. Technical Improvements: Llama 3 features real-time search integration, upgraded image generation, and a user-friendly interface with prompt suggestions. 5. Open Source Models: Meta introduces open-source versions of Llama 3 for developers, featuring models with 8 and 70 billion parameters. 6. Future Developments: Zuckerberg discusses ongoing developments in Llama 3, including more personalized and multimodal capabilities. Long-term Vision: Despite the rapid evolution of AI technology, Zuckerberg emphasizes a long-term strategy to position Meta as a leader in the global AI market. Meta's Blog of LLama-3: https://ai.meta.com/blog/meta-llama-3/ submitted by /u/BiggerGeorge [link] [comments]
NLP: Specialized tools for specific tasks (translation, sentiment analysis). LLM: Versatile for many tasks (writing, answering questions), but may need refinement for pinpoint accuracy. Think NLP as the foundation, LLM as the advanced tool. Both shape the future of language interaction. https://www.seaflux.tech/blogs/llm-vs-nlp-use-case-for-business-solutions submitted by /u/krunal_bhimani_ [link] [comments]
Imagine a world where your smart devices get smarter, not by sending data to the cloud, but by processing it themselves. That's the power of Edge AI. By bringing artificial intelligence to the "edge" of the network, on devices like phones and wearables, Edge AI unlocks a new era of real-time decision making, privacy control, and lightning-fast performance. This isn't just science fiction - Edge AI is already transforming industries from manufacturing to healthcare. Are you ready for the intelligent edge? https://www.seaflux.tech/blogs/EdgeAI-advantages-and-use-cases submitted by /u/krunal_bhimani_ [link] [comments]
I figure all countries have a vested interest, and also explains why the military is so keen. I think we're going to enter dilemmic times, where every boundary will be pushed in the name of the new space race. submitted by /u/crummynubs [link] [comments]
Say I have written the IPA form of 1000 English words, i.e. I wrote the pronunciation down for 1000 words in a standard text format, (or used something like the CMU pronunciation dictionary in English, which has over 100k words with written pronunciations). Ideally it only requires less than 1000 written pronunciations covering all aspects of pronunciation for a given language, as more than that would be a lot of manual work to create the training data. Ideally, I could write 1000 IPA transcriptions in 100 different languages (1000 per language), and some sort of AI models would integrate with that, and it would be able to automatically generate the IPA text pronunciation from spoken audio. Is that possible? So I'd have basically a CSV like this: sublime,/səˈblaɪm/ creativity,/krieɪˈtɪvəti/ bounty,/ˈbaʊn(t)i/ ... Given that's all the data I have (CSV with word and pronunciation written down), what sort of AI tools would I need to be able to take speech audio and create the IPA written transcription from it? Tools like AWS Polly and Google Cloud Text2Speech allow for taking IPA transcriptions (like my CSV above), and converting it to AI-generated audio for many languages, including several voices per language (see the Google Cloud link for supported languages). But how would you do the reverse? Converting audio into IPA transcriptions? What is the basic system of tools you would need to wire up, and the "AI models" you would need to find out in the wild to make this happen? Assuming you don't have the luxury of having any sorts of huge datasets like Meta/Google/Microsoft/etc. have acccess to. For example, I would need to use some sort of existing model for dealing with the audio of voices. The part I would add (it seems so far) would be a small curated list of ~1000 words and their written IPA pronunciation. I would then plugin the word like "creativity" to get the audio of it from some free AI database. Then I would write some sort of code to train the AI to convert "creativity" into "/krieɪˈtɪvəti/" (and correspondingly, "creation", which it may have never seen an IPA transcription for, into "/kriːˈʲeɪʃɘn/", given some sort of model training). What is the general approach to making this a reality? I would like to build a curated database of IPA pronunciations for words, and your best current source is Wiktionary, but for many languages the IPA pronunciation transcriptions are sorely lacking. So if we could use AI to take an existing audio database of saying words in 100's of different languages, and convert it to the written IPA pronunciation, that would be a huge win. Is that at all possible? I am a full-stack software developer mainly focusing on TypeScript, so that's where I'm coming from. If it's possible to do in Python or some other language, I will surely learn that next, I just am unsure what components go into the final mixture to make this possible. submitted by /u/lancejpollard [link] [comments]
Is anyone else getting google response that are made by AI? I’ve been looking into it and I can’t find anyone talking about it I’m asking bc it sucks and I want to figure out how to turn it off. I get it, AI is the next wave of tech, it’ll soon take over. What’s annoying is how every platform is now trying to get ahead of the curve and replace their perfectly fine system with a system powered by cheap AI. I was pissed enough already that they introduced ads that couldn’t be turned off, but now a shitty AI model that doesn’t even know what I’m asking? Please tell me I can at least turn this off. I don’t see any reason why Google would want to force me to use the AI submitted by /u/Any_Arrival_4479 [link] [comments]
People tend to assume that if AI takes all our jobs, this will either usher in a utopia where every waking second is pure bliss (watching Netflix all day, how wonderful!), or a dystopia where everything we do is meaningless and unfulfilling (um, watching Netflix all day - how empty and stupid!). But in my opinion, neither of those are true. So long as AI doesn’t literally kill us and we have sufficient financial support through, say, UBI — I realize those assumptions are debatable and it’s possible we’ll just be straight up dead, in which case nothing I’m saying here has any relevance — if AI takes all our jobs, the rest of our lives will actually feel quite … wait for it.. normal. Why do I say that? Because think of what’s already the case: as humans, huge chunks of our time are — and always will be — taken up by many things which are essentially “work” but lie outside of our official jobs. These things are often just as important to us (or more important) than our jobs. No, I’m not talking about hobbies — the very word “hobbies” is indicative of things of lesser importance, so if all we have left is our “hobbies,” then God help us. And no, I’m not talking about us all becoming so in touch with the deepest reaches of the human spirit that we all become Picasso-level painters or something. I realize that ain’t gonna happen. So then what am I talking about? Examples include: having and raising children, taking care of elderly or sick relatives, raising pets, dating, maintaining friendships, therapy, self improvement, volunteering, political activism, cooking, home improvement, working out, putting thought and effort into your appearance. What all of these things have in common is that, while sometimes they’re enjoyable in the moment, to a large extent they’re “work” — that is, they all have some combination of the following aspects: delayed gratification, drudgery, necessity, productivity, personal meaning, personal identity, self-esteem, social connection, social judgement. The same things that our jobs give us. It’s possible that AI/robots will eventually be able to do many of the above things as well. But given that these things aren’t our jobs, we’ll never be required to give them up if we don’t want to. And it’s not like these things occupy fixed time slots. If we no longer have jobs, the above activities can (and, in my prediction, will) expand to fill up the time we were previously spending working, with the end result being no significant change up or down in terms of our total levels of fulfillment, personal meaning, etc. Thoughts? Do you agree or do you see it differently? submitted by /u/SuperFluffyTeddyBear [link] [comments]
Meta’s new AI assistant is rolling out across WhatsApp, Instagram, Facebook and Messenger.[1] Meta steps up AI battle with OpenAI and Google with release of Llama 3.[2] Meta should be called “OPEN”AI. Google is combining its Android software and Pixel hardware divisions to more broadly integrate AI.[3] New Atlas robot stuns experts in first reveal from Boston Dynamics.[4] Sources included at: https://bushaicave.com/2024/04/18/4-18-2024/ submitted by /u/Excellent-Target-847 [link] [comments]
I’m reaching a strange place with LLMs where I don’t personally need them to be a ton better. Of course I’m not asking them to stop progress. Buts for me it’s kind of like how I don’t need a phone with 4 terabytes of storage. Or how I’m doing just fine with an apple A12 chip rather than the new shiny A17 chip. I use LLMs often but I’m not a coder. I more ask them questions, made a therapist bot, made a creative career manager bot, and ask them many abstract questions. For anything I need factual information on and cited, that’s been a solved problem for a while now for me with Perplexity. I bought chat gpt plus recently and changed my creative manager bot from gpt 3.5 to 4. It gave me great advice that understood the info I was bringing to it. When I was done, I realized I accidentally was still using the gpt 3.5 version. I felt completely satisfied and was not even using the state of the art version. So Claude is great right now, and its free sonnet is excellent. Gpt 4 is obviously amazing. Gpt 3.5 is okay, just waiting for their free tier to do a big level up. I tried llama 3 70b today. It’s great. Then things like Gemini pro and mistral are pretty good. So for someone like me at this point, I actually don’t need better LLMs anymore. What I do need is new ways to interface with them. My therapist bot and career coach bit are only in the chat gpt ecosystem because it has a great “talk” system where you talk to it out loud and it talks back. If Poe or someone else got something else that good I’d move my bots there. So yeah, for someone like me, the biggest things I’m looking for is how I use them, rather than which one has the best technology. submitted by /u/jgainit [link] [comments]
I have a head of emails saved in GMail and snooze them around when I need them. I also have a ton of desktop icons with reminders. I'd really like to get all of this stuff into some organization app. Something like a whiteboard with sticky notes would be great. Being able to talk to an AI and have them create sticky notes or move things around would be incredible, but not sure if we are there yet with AI. Any recommendations? submitted by /u/Ardbert_The_Fallen [link] [comments]
I've been examining the real-world context limits of large language models (LLMs), and I wanted to share some enlightening findings from a recent benchmark (RULER) that cuts through the noise. What’s the RULER Benchmark? Developed by NVIDIA, RULER is a benchmark designed to test LLMs' ability to handle long-context information. It's more intricate than the common retrieval-focused NIAH benchmark. RULER evaluates models based on their performance in understanding and using longer pieces of text. Link to photo of table with findings available at the link at the bottom of this post. I couldn't figure out how to include the image directly. Performance Highlights from the Study Llama2-7B (chat): Shows decent initial performance but doesn't sustain at higher context lengths. GPT-4: Outperforms others significantly, especially at greater lengths of context, maintaining above 80% accuracy. Command-R (35B): Performs comparably well, slightly behind GPT-4. Yi (34B): Shows strong performance, particularly up to 32K context length. Mixtral (8x7B): Similar to Yi, holds up well until 32K context. Mistral (7B): Drops off in performance as context increases, more so after 32K. ChatGLM (6B): Struggles with longer contexts, showing a steep decline. LWM (7B): Comparable to ChatGLM, with a noticeable decrease in longer contexts. Together (7B): Faces difficulties maintaining accuracy as context length grows. LongChat (13B): Fares reasonably up to 4K but drops off afterwards. LongAlpaca (13B): Shows the most significant drop in performance as context lengthens. Key Takeaways - All models experience a performance drop as the context length increases, without exception. The claimed context length by LLMs often doesn't translate into effective processing ability at those lengths. - GPT-4 emerges as a strong leader but isn't immune to decreased accuracy at extended lengths. Why Does This Matter? - As AI developers, it’s critical to look beyond the advertised capabilities of LLMs. - Understanding the effective context length can help us make informed decisions when integrating these models into applications. What's Missing in the Evaluation? - Notably, Google’s Gemini and Claude 3 were not part of the evaluated models. - RULER is now open-sourced, paving the way for further evaluations and transparency in the field. Sources I recycled a lot of this (and tried to make it more digestible and easy to read) from the following post, further sources available here: Harmonious.ai Weekly paper roundup: RULER: real context size of LLMs (4/8/2024) submitted by /u/ParsaKhaz [link] [comments]
https://ai.meta.com/blog/meta-llama-3/?utm_source=twitter&utm_medium=organic_social&utm_content=video&utm_campaign=llama3 https://twitter.com/AIatMeta/status/1780997403979735440 From Meta's Twitter post: "Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3 models — in the coming months we expect to introduce new capabilities, longer context windows, additional model sizes and enhanced performance + the Llama 3 research paper for the community to learn from our work." Has anyone played around with it? How are the trust and safety restrictions? submitted by /u/Expert_Plankton_5596 [link] [comments]
When it comes to hardware and software, sure, generative AI is only going to get better. When it comes to data, the story gets a little more complicated. I asked some machine learning experts this question and got a range of answers -- particularly thinking about model collapse and error propagation across generations of models. Here's the whole article: https://community.aws/content/2ey0aCSXGcC2WRdHshVNvv3WBfy/can-generative-ai-only-improve-from-here-it-s-complicated submitted by /u/thedaveperry1 [link] [comments]
At some point the amount of AI generated content will surpass human generated content. It may have already. Is that a good or bad thing? If everything is fake, what’s the point of watching? Will it kill off the influencers and go back to just being a way to communicate with friends? The social media bubble has been expanding hugely for the last decade. Will this pop it? submitted by /u/ConclusionDifficult [link] [comments]
Microsoft Research Asia's VASA-1 introduces advanced pose and expression editing capabilities, enhancing its ability to create realistic talking faces from a single photo and audio, similar to Alibaba's EMO technology. https://www.microsoft.com/en-us/research/project/vasa-1/ submitted by /u/Novita_ai [link] [comments]
We have instituted a rule where accounts newer than a day or users with less than 100 karma cannot post. They can post comments but not submit actual posts. This is part of our plan to address bot spam. Apologies for any inconvenience. We will be conducting a poll in the next few days to get the general will of the subreddit and how to improve forward, just a heads up. As always, please give us feedback and if you are interested in helping out the sub, please contact me. Thanks everyone! submitted by /u/FHIR_HL7_Integrator [link] [comments]
Welcome to r/ArtificialIntelligence! Our goal is to provide an open and respectful forum for all things considered Artificial Intelligence - this includes Facilitate philosophical and ethical discussions about AI Serve as a starting point for understanding and learning about AI topics Offer technical paper presentations and discussions Present quality AI/ML applications Provide training and learning resources Direct users to more specific information and subreddits List AI/ML applications, their uses, costs, and access information Additional AI-related content. ...and more The moderation team for this sub is going through a reshuffle which will result in some changes to the sub. However, there is no need to worry as these changes will primarily focus on improving organization, resources, and pre-prepared content. To ensure that the community is fully informed and able to provide feedback, multiple opportunities will be given for feedback on the changes. The first round of feedback gathering is through this thread as a "Request-For-Comments" (RFC), which is a standard method of gathering feedback. There will be multiple rounds of the RFC process as the changes are prepared and implemented. Rules on posting new applications / self-promotion / AI generated content Posts that are applications consisting of a ChatGPT-api "skin" or similar will be prevented or confined to specific stickied threads. AI generated content specific to the arts (writing, visual arts, music) require flair, or will be confined to specific stickied threads. Blog links should consist of high-quality content. Posts that link to blogs that are purely promotional will be removed. Posts with just links will be prohibited unless there is a certain word count of detail included. Some effort must be put in. Should we prevent posts that are written by AI? There exist models that could be used in a Mod-bot, but this is a question we need feedback on. Use of flair in order to organize posts. Note that new flair has been added already, we are open to more suggestions. What should the sub policy on NSFW applications and techniques in regards to AI/ML application? We would like to include the community with ideas for mod-bots. While some standard bots will be used for basic maintenance, but what interesting things can the community come up with for AI/ML bot functions? Cultivating beginner, intermediate, and advanced resources to assist people in finding information, training, models, technical data, etc. that they are looking for Starting substack/podcast to interview people throughout the AI/ML spectrum. This could include philosophers and thinkers, programmers, scientists, business people, even those with antithetical views on AI If you would like to create banners that represent the sub, please do so with the appropriate size. Any method of creation is acceptable. It should go without saying that everyone should be treated with respect. I personally feel that we all know this and it doesn't need to be hammered into people’s heads. Be nice. Thank you for your patience and assistance! submitted by /u/FHIR_HL7_Integrator [link] [comments]
What are the Top 10 Christmas song or music in 2022?
It’s that time of year again! Christmas music is already playing in stores and on the radio, and people are busy making their holiday plans. As we head into the holiday season, let’s take a look at some of the most popular Christmas songs of 2022.
Topping the list is “All I Want for Christmas is You” by Mariah Carey. This classic Christmas song has been a favorite for decades, and it’s still going strong. In second place is “Jingle Bells,” a timeless Christmas classic that’s sure to get everyone in the holiday spirit. Last but not least, “Last Christmas” by Wham! rounds out the top three. This catchy pop song is perfect for getting you into the holiday mood.
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As the festive season approaches, music lovers all over the world start to wonder what the most popular Christmas songs will be. While some classics never go out of style, there are always new tracks vying for a place on the Top 10 list. So, what can we expect to hear on radio stations and in shops in 2022?
Of course, no list would be complete without a nod to Ariana Grande, Pentatonix, The Temptations, or Michael Bublé. And let’s not forget Kelly Clarkson, who released her first holiday album in 2013. She is sure to have a few contenders for the Top 10 this year.
So there you have it, the top three Christmas songs of 2022. Whether you’re looking for something upbeat or something a little more slow-paced, these songs are sure to get you in the holiday spirit.
So, there you have it – our predictions for the Top 10 Christmas songs of 2022. What do you think? Let us know in the comments below.
Vermont and Maine are the only states searching for “Wonderful Christmastime” by Paul McCartney and Wings more than “Last Christmas” by Wham!
MAP: US States searching for “Santa Tell Me” by Ariana Grande versus “All I Want for Christmas is You” by Mariah Carey and Walter Afanasieff, past week, US
“Can outdoor Christmas lights get wet” : Place a Rain Block Weatherproof Gasket on the male connector of the light or decoration and firmly press the two together. The gasket will compress slightly and lock out water.
Things to do over Christmas break: Ice skating, skating with Santa, Visit the mall for Christmas shopping, Skiing, Snowboarding, Family outing at Restaurant
Begin with 1 cup of fruit, either fresh or frozen. Strawberries, blueberries, mangoes, bananas, pineapple, cherries, and peaches are all fantastic fruit bases. For Veggie; If you don’t mind the green tint, adding a handful of spinach or kale to your drink is a great method to boost antioxidants.
Smoothies may be a nutritious breakfast if you use the right ingredients and keep the servings small. It’s ok to eat a smoothie for breakfast every day if you stick to these guidelines. Smoothies for breakfast that are both nutritious and tasty are quick and easy to create.
5 Simple Steps to Making a Healthy Smoothie
Do you enjoy drinking smoothies? I am sure you do, cause everyone likes smoothies. Did you know they’re quite simple to make? To make a delightful ice-cold nutritious smoothie at home, follow these simple steps:
Choose the fruits you wish to include in your smoothie. It might be a single fruit or a combination of fruits.
Choose the liquid you desire. Water or fruit juice work great, but milk and yogurt work great if you want to include calcium to your delectable health drink. Feel free to use tea or soy – have fun with it! Normally, ice would be added to a smoothie, but if your fruit is pre-frozen, ice isn’t essential. Incorporating fruit juice to your smoothie is a terrific idea, but keep in mind the sugar levels of any fruit juice you choose.
Incorporate some green to the mix. Any green, such as spinach, kale, celery, or any other, offers a superb nutritional balance. The great thing is that you won’t be able to tell they’re in your drink because they mix in so beautifully.
Make it sweeter. It’s not as if you need to sweeten fruit since it’s already delicious. Honey, peanut butter, coconut shavings, chopped almonds, or a teaspoon of vanilla essence may all be used to make it especially unique.
Blend your ingredients – It’s obvious that you already know that, but search for the smoothie, puree, or shake button. The entire procedure should take no more than a minute. Allow your drink to settle for a minute when it is finished, then enjoy your wonderful nutritious drink for a summer cool down.
Click Here for simple Smoothie recipes anybody can follow from home.
Escape rooms: For those who don’t know, an escape room is a recreational entertainment where a number of rooms, typically with themes, are designed and filled with small puzzles that must be solved in order to lead you to the exit of the room.
What are the Top 10 luxury cars that are completely overpriced considering the poor workmanship and lack of features?
There are a number of luxury cars on the market that are completely overpriced considering the poor workmanship and lack of features. Ford, Buick, Lincoln, Dodge, Jeep, Chevrolet, Chrysler, GMC, Ram, Tesla, Cadillac, and Volvo are all examples of cars that fall into this category. While these cars may have a certain level of prestige associated with them, they simply do not live up to the hype in terms of quality or value. In many cases, you can find cars that offer better workmanship and more features for a fraction of the price. So if you’re looking for a luxury car that won’t break the bank, be sure to do your research before making a purchase.
The following is a list of 10 luxury cars that are completely overpriced:
1. Ford: Despite being one of the most popular automakers in the world, Ford’s luxury cars are seriously overpriced. The company’s flagship sedan, the Lincoln Continental, starts at over $45,000, but it lacks features like heated seats and an advanced infotainment system that are standard on other luxury cars.
2. Buick: Buick’s lineup of cars is generally fairly priced, but the company’s top-of-the-line model, the Enclave Avenir, starts at a whopping $53,000. For that kind of money, buyers expect a lot more than what the Enclave Avenir offers.
3. Lincoln: Lincoln has long been known for its luxurious cars, but its recent offerings have been severely lacking in both quality and features. The Lincoln Navigator starts at just under $80,000, but it doesn’t even come standard with heated seats or a sunroof.
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4. Dodge: Dodge’s Charger Hellcat may be one of the most powerful cars on the market, but at $70,000, it’s also one of the most overpriced. The car lacks features like adaptive cruise control and lane keep assist that are becoming standard on other luxury cars.
5. Jeep: Jeep’s Grand Cherokee Summit is one of the company’s most expensive models, starting at just under $60,000. However, it doesn’t offer much in terms of luxury features. The vehicle doesn’t even come standard with GPS navigation or blind spot monitoring.
6. Chevrolet: Chevrolet is generally known for its affordable cars, but its top-of-the-line model, the Corvette ZR1, starts at an eye-popping $120,000. For that kind of money, buyers expect a lot more than what the Corvette ZR1 offers in terms of luxury features and performance.
7. Chrysler: Chrysler’s 300C is one of the most expensive cars in the company’s lineup, starting at just under $50,000. However, it doesn’t offer much in terms of luxury features or performance. The car doesn’t even come standard with GPS navigation or blind spot monitoring.
8. GMC: GMC’s Yukon Denali is one of the most expensive SUVs on the market, starting at over $70,000. However, it doesn’t offer much in terms of luxury features or performance. The SUV doesn’t even come standard with heated seats or a sunroof.
9. Ram: Ram’s 1500 Laramie Longhorn is one of the most expensive trucks on the market, starting at just under $60,000. However, it doesn’t offer much in terms of luxury features or performance. The truck doesn’t even come standard with GPS navigation or Blind spot monitoring..
10 Tesla: Tesla is generally known for its high-quality electric cars, but its Model S sedan is seriously overpriced at just under $100,000. The car lacks features like adaptive cruise control and lane keep assist that are becoming standard on other luxury cars..
Volvo and Cadillac round out this list as two more manufacturers whose cars are completely overpriced considering the poor workmanship and lack of features offered.”
I’ve had nine Lexus over the years. I stopped buying them because their technology seems out of date. The reason the technology is out of date is because Lexus is not out to be on the cutting edge of anything, but instead would rather refine what they have and make constant improvements to existing products. You can buy the same model in two different years and it’s not the exact same car. It’s been refined from the prior year.
I’ve never owned a more reliable brand or one with a more predictable ownership experience. Everything from the dealership on through service is very well done. I consider it to be an outstanding brand. Others do too.
Lexus isn’t for everyone. There are more exciting cars to drive, but when it comes to safe reliable cars, it’s by far my most trusted brand.
While Cadillac ranks a little higher in the JD Power ranking, it is still one of the lowest ones with Land Rover, Volvo and Acura worse. While Volvo might not be considered luxury they certainly have some models price at a luxury price. I tend to believe that JD Power uses a bigger sample than subscriber based Consumer Reports information.
Above ranking are by brand and each brand would have some variance based on models. For the most part within brands the higher volume models are more reliable than lower volume ones.
in past years there was a time frame when Cadillac was considered the luxury brand of any American car companies. They still include the goodies and technology that would classify them as such. Escalade made the 20 Cars To Avoid At All Costs In 2021 list and was not the only luxury vehicle to make that list.
It is hard to understand why they would be so lousy in terms of reliability. Many of those who valued what Cadillac traditionally offered (quiet, smooth, road isolation, luxurious interiors and luxury technology) moved to Lexus where the brand and most of their models are at the opposite end of the reliability list. Luxury is not luxury if it does not work frequently.
Addition replying to several comments:
There have been a number of questions about differences between the above lists. I believed that it was due to methodology differences. The following two links get into what type of questions for each and what they measure.
Essentially JD Power is an incident report whereas Consumer Reports records what members said were problems they considered serious. Every incident is not necessarily serious. For example I had a new Lexus that soon after delivery developed a 1 pound per week drop in pressure in one tire. That was an incident. It was caused by the tire being improperly seated on the rim at the factory. It was fixed immediately and I would would have considered that an inconvenience not anything serious.
There is also a massive difference in sample size with Consumer Reports having 470,000 and Powers about 33k. With the former sample size over 14 times the latter, it should be more statistically accurate. They indicated average response of three hundred per model. That is not as good of info as the manufacturer’s bean counters have, but it is probably as good as it gets for the consumer.
Of the two sources Consumer Reports drills down more about specific types of problems. When the owner is out of warranty the type of problem can be important as different categories vary significantly in cost.
There is a reason for the large variance in drop in residual value between different brands and different models within those brands. Some turn into money pits and as a result are not worth hardly anything when you try and sell them. That is good on any vehicle. It is particularly bad on a luxury car.
I mentioned Cadillac in my above response based on my feeling that no matter how many luxury trappings they offered, if the vehicle frequently did not work it would not be a luxury vehicle (it just would be a vehicle that offered much what Honda offers in tech, but one that did not work).
Vehicles that frequently do not work are only luxuries for the mechanics that work on them (JOB SECURITY IS A LUXURY) and luxuries for the dealer or maintenance company (PROFIT IS A LUXURY). Personally I would prefer not contributing too heavily to those two luxuries.
The average price of a new vehicle purchased in the states is US $36K. That may not represent luxury, but it represents something that the purchaser expects to work. Is there any real reason the expectation should be different just because the vehicle costs more and may have more luxury trappings or better performance? If your answer is no to that, the logical conclusion would be that ANY luxury brand that had a reported history of more problems than less expensive brands is not worth it. That includes too many of them IMO.
Addendum:
I am basing this knowing that we all have criteria that is important for the vehicle we select. I currently have two cars one is a German convertible and the other is a Lexus.
I recently drove my sister in law’s CTS.
Even being used to a soft top convertible that tend to be more noisy, it was one of the most noisy cars I have ever driven. The few I have driven were more noisy to accentuate the sound of the exhaust. The amount of noise is not typical Cadillac. Historically they were one of the most quite on the market. Cadillac wanted a younger buyer group. They tried unsuccessfully to emulate BMW.
In comparison my sister in law had commented about how quite my wife’s Lexus is. Lexus was not satisfied. The current model has 30% more sound deadening materials.
I am not trying to make a case that lack of sound is the only factor in considering, but is is one more issue for Cadillac’s primary market.
Are Lexus cars underrated in comparison with Mercedes, BMW, and Audi? If not, why do many owners who own Lexus and German cars have good experience with Lexus? By Tom Nault
I’ve had nine Lexus, three Mercedes, three BMWs and no Audis. Lexus is by far the higher quality car among these brands. The others are not even close. However if you’re looking at cutting edge technology, the Lexus falls behind the others. The other three are more advanced. Lexus is a very conservative brand that spends more time on matters of reliability than cutting edge features. It all depends on the kind of experience you want in a car.
If you plan to keep the car a very long time, Lexus would be the only consideration. If your plan is to keep it three years or so, then the other brands would be a stronger consideration because they offer more for about the same price. Lexus depreciates less overall, except with the LS which they have trouble selling new. It’s a boring car. Well built, but dull as hell to drive. If you don’t like or care about cars, but want a good one, the LS is your baby.
But, if you’re looking for overall driver experience, the Germans are excellent at that.
What is the comparison useable lifetime of combustion fuel cars versus estimated lifetimes of electrical cars or EV? It now looks like 12 years versus 25. By David Filmer
The problem is… besides the driveline, an EV is just an ordinary car with ordinary car parts, and few people want to drive a 12-year-old car (much less 25 years old), even if the engine works perfectly. The electronics (which once seemed amazing) will be dated. The dash will rattle. The paint will be blistered. The upholstery will be worn and stained. The carpets will be rotten and stink. The door seals will be dried out. There will be rust on the undercarriage. Corrosion in wiring harnesses may cause intermittent problems which are difficult to diagnose. These are all typical 12-year-old car problems that get worse as the car continues to age.
The average life expectancy of a US automobile, from showroom to scrapyard, is about 13 years, and it’s not just the driveline. The whole car will be worn out.
In the future, as EVs begin to age, expect to see a variety of EV “kit cars” to repurpose the durable (and expensive) motor, battery, and inverters into new bodies with updated electronics/telematic packages.
We may even see a variety of novelty coachwork, as we do with the humble Volkswagen Beetle. Your Tesla might someday look like a Delorean or a classic American roadster!
Today I Learned (TIL) You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
submitted by /u/Outrageous-Elk-5392 [link] [comments]
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جنين (help·info)
In contrast, real experts know when to sound confident, and when to let others know they’re at the boundaries of their knowledge. Experts know, and can describe, the boundaries of what they know.
Building large language models that can accurately decide when to be confident and when not to will reduce their risk of misinformation and build trust.
Go deeper in The Batch: https://www.deeplearning.ai/the-batch/issue-174/