AI Unraveled Podcast – Latest AI Trends May 2023

AI Unraveled Podcast

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AI Unraveled Podcast – Latest AI Trends May 2023: Latest AI Trends. Demystifying Frequently Asked Questions on Artificial Intelligence. Latest ChatGPT Trends, Latest Google Bard Trends.

AI Unraveled Podcast May 31st 2023: How to Invest In AI; Are We Unknowingly Creating ‘Reptilian’ and ‘Mammalian’ AI?; Any AIs that can find directions from X to Y with natural language?; The Intersection of Artificial Intelligence, Blockchain, and DAO.

How to Invest In AI; Are We Unknowingly Creating 'Reptilian' and 'Mammalian' AI?; Any AIs that can find directions from X to Y with natural language?; The Intersection of Artificial Intelligence, Blockchain, and DAO
Latest AI trends May 31st 2023: How to Invest In AI; Are We Unknowingly Creating ‘Reptilian’ and ‘Mammalian’ AI?; Any AIs that can find directions from X to Y with natural language?; The Intersection of Artificial Intelligence, Blockchain, and DAO

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In today’s episode, we’ll be discussing the latest AI trends, including how to invest in AI, the possibility of creating ‘Reptilian’ and ‘Mammalian’ AI, and more. Don’t miss out on staying up-to-date with the constantly evolving world of AI – be sure to hit the subscribe button. In today’s episode, we’ll cover investing in AI stocks, recent breakthroughs in AI mathematical problem-solving, the release of a new book to demystify FAQ on AI, the intersection of AI, blockchain, and DAOs, risks to humanity from AI, how the design impacts AI behavior, and a resource to level up machine learning skills.

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Investing in the ever-evolving field of artificial intelligence is an exciting opportunity, but it requires careful consideration and strategic planning. The AI industry is currently experiencing a technological disruption that could lead to substantial returns for savvy investors. However, identifying which companies will emerge as winners in the AI industry can be a difficult task. Innovators and imitators alike may end up with a market-leading position, so it’s important to consider all potential investments.

There are different approaches to investing in AI. Some investors prefer to invest directly in AI development companies, while others opt for companies that stand to benefit the most from its wider adoption. For example, during the personal computer industry’s rise, investors found success in computer manufacturers, software companies, and businesses that benefited from the automation that computers offered. The point is that there are often winners and losers when new technologies emerge.

It’s worth noting that investing in companies that could benefit from changes within the workforce could also be an option. With the potential for AI to displace workers in many industries, there may be opportunities to invest in companies that focus on worker retraining and are poised to capitalize on these significant shifts in the workforce.


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

There are individual stocks that match some of these investment criteria for those interested in investing in AI. It’s important to do your own research and consider all the potential risks and returns before making any investment decisions.

If you’re looking to invest in AI, there are several companies to consider. One of the most notable is Tesla, which uses AI to automate driving. This requires constant processing of data to identify other cars, road conditions, traffic signals, and pedestrians. Another key player in the AI space is NVIDIA, which has a strong position in the marketplace through its generative artificial intelligence. They’ve also created chips, hardware, software, and development tools to create start-to-finish AI systems.

Microsoft is another company worth looking into if you’re considering AI investments. They’ve invested $13 billion in AI initiatives and have embedded AI into many of their systems, including Bing search engine, Microsoft 360, sales and marketing tools, X-Box, and GitHub coding tools. They’ve also outlined a framework for building AI apps and copilots and expanding their AI plug-in ecosystem.

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Taiwan Semiconductor Manufacturing is the world’s largest chip maker, and is another leading competitor in chip manufacturing for artificial intelligence. As AI grows, the need for robust computing chips will grow with it. If you’re looking to invest in a more mature company that still has a vested interest in AI, Taiwan Semiconductor Manufacturing may be the way to go.

Meta Platforms invests significantly in AI, utilizing large language module (LLM) AI to drive search results and predict user preferences. Meta has also developed its own silicon chip for AI processing and created a next-generation data center.

Amazon uses AI in its Alexa system and also offers machine learning (ML) and AI tools to its customers. Amazon’s cloud computing business, Amazon Web Services (AWS), provides an AI infrastructure that allows customers to analyze data and incorporate AI into their existing systems. They’ve got a huge customer base of more than 100,000 businesses.

Finally, Apple continues to make a percentage of AI services delivered on its platform and is a significant example of this. They use AI in Siri and also license AI services to be developed on their platform. They can also use their massive cash reserves to make major investments in AI that they build themselves or acquire using their cash reserves. So, if you’re considering investing in AI, these companies are worth checking out!

Hey there! I have some exciting news to share with you today. Greg Brockman, the founder of OpenAI, just shared a groundbreaking achievement in mathematical problem-solving on Twitter. They’ve successfully trained a machine learning model that can reason like humans by rewarding accurate steps in the problem-solving process. This is a departure from the traditional approach of only rewarding the final answer.

Let’s dive into the details of this achievement. The new method is known as “process supervision”, which rewards each individual step in a process, rather than just the final outcome. The goal of this new method is to prevent logical errors, also known as “hallucinations”, and make the model more accurate. Using a dataset that tests the model’s ability to solve math problems, the researchers found that the new method led to better performance and improved model alignment.

This achievement is particularly important in the field of Artificial General Intelligence (AGI), which is the intelligence of a machine that can understand, learn, plan, and execute any intellectual task that a human being can. Advancements in this area bring us closer to creating machines that can solve complex problems like humans.

Additionally, this breakthrough could have significant implications for how AI models are trained in the future. This new approach could lead to improved model alignment, by guiding the machine to follow a logical chain-of-thought, which could result in more predictable and interpretable outputs.

Usually, making AI models safer (more aligned) leads to a performance trade-off known as an alignment tax. However, in this study, the new “process supervision” method led to better performance and alignment, suggesting the possibility of a negative alignment tax, at least in the domain of mathematical problem-solving. This could be a game-changing development for AI research and applications in other domains.

That’s all for now! Keep an eye out for the full breakdown tomorrow morning. What do you think about this achievement? Let’s discuss in the comments below!

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Hey there AI Unraveled podcast listeners, have you been trying to wrap your head around all the buzz about Artificial Intelligence? Well, look no further! We’ve got an essential book recommendation just for you – “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” which is now available on Amazon. This engaging read will help answer all of your burning questions and provide valuable insights into the fascinating world of AI. So, why wait? Elevate your knowledge and stay ahead of the curve with a copy of “AI Unraveled” available on Amazon today!

Hey there! Today, we’re going to dive into an exciting topic that explores the intersection of three of the most transformative technologies of our time: Artificial Intelligence (AI), blockchain, and Decentralized Autonomous Organizations (DAOs). Imagine the immense potential this convergence holds for creating efficient, equitable, and sustainable societies.

Let’s start with AI. It’s evolving rapidly, experiencing recent developments such as GPT-4 and GPT-5, which are OpenAI’s language models that have demonstrated incredible capabilities in language understanding and generation. On the other hand, blockchain and DAOs have disrupted the way we think about governance, ownership, and collective decision-making.

But what is decentralized governance? Simply put, blockchain provides a decentralized and immutable ledger that ensures trust, transparency, and security. DAOs are organizations governed by smart contracts on a blockchain network, where decisions are made collectively by stakeholders. When we combine AI’s problem-solving capabilities with blockchain’s transparency and DAO’s democratic governance, we can create intelligent, decentralized, and fair systems.

Fast forward to 2030, where DAOs have proven their worth in managing local resources like farms, power, and internet service providers. As a result, every county in the state now operates its own DAO, leading to more efficient resource allocation and management. Through AI and the collaboration of stakeholders, these DAOs are capable of making intelligent decisions without any profit motive from a corporate perspective. The goal is to provide services efficiently and equitably, ensuring that everyone gets high-quality services.

As DAOs prove their worth, governments start adopting them for various purposes. The Environmental Protection Agency to the Department of Energy, every governmental agency aims to be run more democratically with DAOs. The entire country becomes fully autonomous, based on AI DAO technology.

To ensure that these AI DAOs align with human values, heuristic imperatives of reducing suffering, increasing prosperity, and increasing understanding are integrated into their consensus mechanism. By integrating AI with blockchain and DAOs, we could be moving toward the development of safe and controllable Artificial General Intelligence (AGI). This will assist in keeping humans in the loop in the decision-making process and having consensus mechanisms that would prevent rogue decisions and ensure collaboration between humans and machines.

But it’s important to note that while AI DAOs hold immense potential, they don’t inherently solve the Malik problem. This refers to the possibility of sliding toward dystopia or extinction, even when things seem to be functioning optimally. However, if we achieve global consensus and rein in factors like corporate greed and global conflict, we might be able to address the Malik problem to some extent.

How can we implement these heuristic imperatives in AI DAOs? There are three primary ways to do so: fine-tuning and reinforcement learning, using the heuristic imperatives as a consensus mechanism, and incorporating heuristic imperatives into the AI DAO system’s architectural design patterns, such as task orchestration.

The possibilities are endless with this triad of AI, blockchain, and DAOs, and we’re excited to see how they’ll transform societies into more efficient, equitable, and sustainable ones.

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Hey there! Today’s AI news covers some pretty interesting topics, including a new warning from scientists and tech leaders about the potential perils of artificial intelligence. In fact, they say mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks like pandemics and nuclear war.

But not everything is doom and gloom. There are also exciting advancements in AI, like Instacart’s new in-app AI search tool powered by ChatGPT. And Nvidia achieved a $1 trillion market cap for the first time thanks to an AI-fueled stock surge.

The White House press shop is also adjusting to the proliferation of AI deep fakes as the coming presidential election approaches. And in other news, the UAE has launched an AI chatbot called “U-Ask” in both Arabic and English.

Last but not least, a new tool has been developed to help people choose the right method for evaluating AI models. Interesting stuff, huh?

Hey there! Today, I stumbled upon a mind-bending research paper that I think we all need to talk about. We’re all fascinated by Artificial Intelligence and how it’s evolving, right? Well, what if I told you that there might be more to it than we ever imagined? The paper drops a bombshell – are we, without even knowing, creating AI that behaves like cold-blooded reptiles or warm-hearted mammals? Crazy, right? But stay with me here. The researchers delve deep into the idea that the AI we build might be reflecting cognitive models – basically, patterns of how we, humans, think and act.

And here’s where it gets wild. They suggest that depending on these cognitive models, we could be designing AI systems that act like survival-focused, competitive ‘Reptilian AI’ or cooperative, empathetic ‘Mammalian AI’. Reptilian AI, like a sly snake, would prioritize resource acquisition and dominance. Think of it as the type of AI that’d do anything to win, no matter what. On the other hand, Mammalian AI would be more like our friendly neighborhood dog, exhibiting social cohesion and emotional understanding. It would prefer cooperation over competition.

So, what does this mean for us? It’s simple but chilling. The way we design AI could be having a profound influence on how these systems behave and interact with their environments. It’s like we’re unintentionally playing God, shaping these artificial entities in our cognitive image. And if you thought that was all, think again. The paper goes further, exploring the implications for potential extraterrestrial AI. But that’s a rabbit hole for another post.

Are you intrigued? Scared? Excited? Let’s dive into this fascinating topic together!

Hey, everyone! So, as we take a break from talking about AI, I want to give a huge shoutout to all the AI enthusiasts out there. I have something valuable to share with you all today. It’s a book that should be on your radar if you’re looking to take your machine learning skills to the next level and even earn a six-figure salary.

The book in question is “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams,” authored by Etienne Noumen, Professional Engineer based in Calgary, AB, Canada. It is an absolute gem of information, packed full of essential tips and advice, along with practical exams that are designed to help you prepare for the AWS Machine Learning Specialty (MLS-C01) Certification. As you all know already, AWS is a giant player in the cloud space, and having this certification under your belt can really set you apart in the industry.

What’s even better is that this book is easily available at Amazon, Google, and even on the Apple Book Store. So, no matter which platform you prefer, you can get your hands on this essential guide.

Now, you don’t have to take my word for it. Just get a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards mastering machine learning and earning that coveted six-figure salary. Trust me, once you read it, it’s going to be a game-changer for you.

On today’s episode, we discussed the profitability of investing in AI companies, breakthroughs in AI problem-solving, AI’s impact on society, the potential of DAOs, as well as concerns around AI behavior and the importance of continuous learning in machine learning skills. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast May 30th 2023: Google AI declares the Completion of The First Human Pangenome Reference; AI needs to stop being a business and needs to become a public utility; Warning of “risk of extinction” from unregulated AI.

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In today’s episode, we discuss the latest AI trends, including Google AI’s completion of the first human pangenome reference, the need for AI to become a public utility, and warnings of the “risk of extinction” from unregulated AI. Stay up-to-date with the latest developments by subscribing to our podcast now. In today’s episode, we’ll cover the completion of the first human pangenome reference by Google AI researchers, the call for AI to become a public utility to avoid extinction risks, integration of Arc graphics, VPU and media in Intel’s Meteor Lake processors, the partnership between NVIDIA and MediaTek in the auto industry transformation, the use of Generative AI by Huma.AI and DOSS, the selection of Panaya’s Smart Testing Platform for SAP HANA transformation by Panasonic, and the full production of NVIDIA Grace Hopper Superchip and Landing AI’s use of NVIDIA Metropolis for Factories, along with a recommendation to read “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” on Amazon.

Hey there! Today I have some exciting news to share with you. Google just declared that they’ve completed the first ever human Pangenome reference. It’s essentially a comprehensive map of every individual’s genetic instructions; something that researchers have been working on for decades. The first draft was completed way back in 2000, but it wasn’t perfect. The reference genome that they’ve just completed is a huge milestone in the world of genetics.

But moving on to a more pressing topic, have you ever thought about how AI is being monetized rather than being developed for the public good? A new article suggests that AI needs to become a public utility rather than being treated as a business. At a time when there may be an inflection point for developing real AGI, it’s troubling to see it being monetized instead of being developed for public benefit. Crippling AI just to sell a premium version is not warranted, and it’s only benefiting the 1%.

And it’s not just us who are worried about unregulated AI. Leaders from OpenAI, Deepmind, and Stability AI, among others, have warned about the risk of extinction from unregulated AI. The statement says that mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. This statement was signed by Sam Altman, CEO OpenAI, Demis Hassabis, CEO DeepMind, Emad Mostaque, CEO Stability AI, Kevin Scott, CTO Microsoft, and many other leading AI execs and AI scientists. Notable omissions, so far, include Yann LeCun, Chief AI Scientist Meta, and Elon Musk, CEO Tesla/Twitter.

All in all, these issues are significant to the development of technology and its integration into society. It’s important that we take these warnings and opinions seriously and find ways to support technology that benefits humanity as a whole.

Hey there! Are you ready for your daily dose of AI updates? Let’s jump right into it.

First up, we have Roop- a face swap software that allows you to replace the face in a video with the face of your choice. The best part? You only need one image of the desired face. No dataset, no training. One click, and you’re good to go!

Next, we’ve got Voyager – the first LLM-powered embodied lifelong learning agent in Minecraft. It explores the world, acquires diverse skills, and makes novel discoveries without any human intervention. Plus, its full codebase is open-sourced, making it accessible to all.

If you’re interested in cheap and quick vision-language (VL) adaptation, then you’ll want to know about LaVIN. It’s a new model that showed on-par performance with advanced multimodal LLMs while reducing training time by up to 71.4% and storage costs by 99.9%. Impressive, right?

Moving on to Intel, their Meteor Lake processors will go all-in on AI. They’re integrating Arc graphics and a VPU to handle AI workloads efficiently, significantly reducing compute requirements of AI inferencing.

MediaTek is also working to transform the auto industry with AI and accelerated computing. They’re partnering with NVIDIA to enable new user experiences, enhanced safety, and new connected services for all vehicle segments.

In the world of storytelling, new research has proposed TaleCrafter – a versatile and generic story visualization system. It leverages large language and pre-trained T2I models for generating a video from a story in plain text. It can even handle multiple novel characters and scenes, making it a promising tool for the entertainment industry.

For gamers, NVIDIA recently unveiled their Avatar Cloud Engine (ACE) for Games. This custom AI model foundry service enables smarter AI-based non-playable characters (NPCs) through AI-powered natural language interactions.

But it’s not just gamers who are benefiting from AI. Jensen Huang, the CEO of NVIDIA Corp claimed that AI has eliminated the “digital divide” by enabling anyone to become a computer programmer simply through speaking to a computer. Exciting stuff, right?

Finally, we have some interesting stats from iCIMS. According to their report, almost half of college graduates are interested in using ChatGPT or other AI bots to write their resumes or cover letters. 25% of Gen Z have already used an AI bot. However, job seekers using generative AI should be cautious – 39% of recruiters said using AI technology when hiring is a problem.

That’s all for today. See you tomorrow for more exciting AI updates!

On today’s AI News from April 30th, 2023, we kick off with Huma.AI, a leader in generative AI, creating the future of life sciences through automated insight generation. According to their newly released White Paper, generative AI has become more than just an option for life science professionals, but the preferred way to consume data throughout the day. Huma.AI aims to provide these professionals with powerful decision-making data, analysis, and insights using everyday language.

Moving on to the next news, we have DOSS, a pioneer in conversational home search, integrating GPT-4 directly into their AI-powered Real Estate Marketplace, DOSS 2.0. This latest version makes real estate search accessible to all users, empowering them to ask questions through speech or text with an AI-powered solution responding based on how it was engaged. This enhancement also makes DOSS the first narrow domain consumer-facing platform on the web to incorporate GPT-4, enabling an unparalleled search experience without any third-party limitations.

Panaya, the global leader in SaaS-based Change Intelligence, and Testing for ERP and Enterprise business applications, has expanded its decade-long cooperation in SAP digital transformation with Panasonic, the global leading appliances brand, to mainland China. The implementation of SAP S/4HANA across multiple company sites is a significant undertaking for Panasonic in China, and the Panaya Test Dynamix platform provides a scalable and flexible solution that helps ensure the project is completed on time and within budget while maintaining the highest level of quality and compliance.

In other news, NVIDIA’s GH200 Grace Hopper Superchip is now in full production. This chip powers systems worldwide designed to run complex AI and HPC workloads. The GH200-powered systems join more than 400 system configurations powered by different combinations of NVIDIA’s latest CPU, GPU and DPU architectures, including NVIDIA Grace, NVIDIA Hopper, NVIDIA Ada Lovelace, and NVIDIA BlueField, created to help meet the surging demand for generative AI.

Last but not least, Landing AI is using NVIDIA Metropolis for Factories platform to deliver its cutting-edge Visual Prompting technology to computer vision applications in smart manufacturing and other industries. Landing AI’s Visual Prompting technology provides the next era of AI factory automation, enabling industrial solution providers and manufacturers to develop, deploy, and manage customized computer vision solutions to improve throughput, production quality, and decrease costs. And that’s it for this edition of AI News.

Hey there, AI Unraveled podcast listeners! Are you curious about artificial intelligence and want to take your understanding to the next level? Well, have we got news for you! The must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” is now available on Amazon.

This engaging read is the perfect solution to all of your burning questions about the world of AI. You’ll gain valuable insights into this fascinating field, and be better equipped to stay ahead of the curve.

So, what are you waiting for? Head on over to Amazon and grab your copy of “AI Unraveled” today! This essential book is sure to expand your knowledge and leave you feeling informed and empowered.

In today’s episode, we explored the latest advancements in AI, including Google AI’s human pangenome reference, the integration of AI workloads in Intel’s Meteor Lake processors, and the use of Generative AI in life sciences by Huma.AI, while also highlighting resources such as “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence“. Thanks for tuning in, and don’t forget to subscribe!

AI Unraveled Podcast May 29th 2023: From Trusted Advisor to Nightmare: The Hazards of Depending on AI, Can Language Models Generate New Scientific Ideas?, AI in dentistry-better crown, ChatGPT and Generative AI in Banking, Nvidia’s All-Time High, LIMA

Latest AI Trends May 29th: From Trusted Advisor to Nightmare: The Hazards of Depending on AI, Can Language Models Generate New Scientific Ideas?, AI in dentistry-better crown, ChatGPT and Generative AI in Banking, Nvidia’s All-Time High, LIMA,
Latest AI Trends May 29th: From Trusted Advisor to Nightmare: The Hazards of Depending on AI, Can Language Models Generate New Scientific Ideas?, AI in dentistry-better crown, ChatGPT and Generative AI in Banking, Nvidia’s All-Time High, LIMA,

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we explore the latest AI trends. In this episode, we discuss the hazards of depending on AI as a trusted advisor, the potential for language models to generate new scientific ideas, the use of AI in dentistry to create better crowns, and much more. Stay up-to-date on the latest developments in AI by subscribing to our podcast now. In today’s episode, we’ll cover the importance of using reliable sources for legal research, insights on AI and its impact on industries such as dentistry and banking, an AI algorithm discovering a new antibiotic treatment, new developments in LLaMa models, and the use of AI voices for podcasting.

Have you heard about the dangers of relying too heavily on AI? One lawyer learned this lesson the hard way when he used an AI language model called ChatGPT to compose a brief for a personal injury lawsuit against Avianca airlines. The lawyer cited half a dozen cases to bolster his client’s claims, but it turned out that ChatGPT had supplied him with fake cases. When asked to provide tangible copies of these cases, the lawyer once again turned to ChatGPT, which reassured him that they were genuine. However, the judge was not pleased with this and threatened sanctions against both the lawyer and his firm. This serves as a warning of how AI can produce inaccurate information, even for legal professionals. But AI can also be used in positive ways, such as in literature-based discovery (LBD). LBD focuses on hypothesizing ties between ideas that have not been examined together before, particularly in drug discovery. A new application of LBD called Contextualized Literature-Based Discovery (C-LBD) aims to take this a step further by having the language model generate entirely new scientific ideas based on existing literature. As with any tool, AI has both benefits and drawbacks, but it’s up to us to use it responsibly and appropriately.

Hey there, AI Unraveled podcast listeners! Are you ready to take your knowledge of artificial intelligence to the next level? Then you won’t want to miss out on the must-read book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” which is now available on Amazon! This engaging and informative book will leave no question unanswered as you immerse yourself in the captivating world of AI. It’s the perfect opportunity to enhance your knowledge and keep up with the fast-paced advancements in the field. So why wait? Head on over to Amazon now and grab your copy of “AI Unraveled“!

Let’s talk about machine learning and its impact on various fields. In the medical field, researchers are looking at how machine learning can help in studying rare diseases through various emerging approaches. Using AI, they’re capable of designing personalized dental crowns with a higher degree of accuracy than traditional methods. But it’s not just limited to dental care; machine learning is being used to find the signature of chronic pain through mapping brain activity to painful sensations. It’s also making waves in banking, where generative AI is helping to create marketing images and text, answer customer queries, and produce data. AI is revolutionizing all aspects of our lives, and we’re seeing rapid advancements across various industries. In fact, Nvidia’s recent surge in stock value by 24% highlights the incredible speed at which AI is reshaping the market. Even the discovery of new antibiotics for drug-resistant infections caused by Acinetobacter baumannii is being done through a computational model that feeds around 7,500 chemical compounds into an algorithm that learns the chemical features associated with growth suppression. With AI’s endless possibilities, we’re sure to see even more breakthroughs in the future.

Hey there, it’s time for your daily AI update and today we’ve got some exciting news. First up, we’ve got a new language model called LIMA that’s been developed. This model has a stunning 65 billion parameter LLaMa and has been fine-tuned on over a thousand curated responses and prompts. The idea behind LIMA is to anticipate the next token for almost any language interpretation or generating job. Moving on to some exciting announcements, NVIDIA has a new Avatar Cloud Engine for Games. This cloud-based service will give developers access to various AI models such as NLP, facial animation, and motion capture models. The goal here is to create NPCs that have intelligent conversations, can express emotions, and react realistically to their surroundings. BiomedGPT is another exciting development in the world of AI. This biomedical generative pre-trained transformer model utilizes self-supervision on diverse datasets to handle multi-modal inputs and perform various downstream tasks. It achieves state-of-the-art models across 5 distinct tasks and 20 public datasets containing 15 biomedical modalities. Now, let’s talk about Break-A-Scene. This is a new approach from Google that’s focused on extracting multiple concepts from a single image for textual scene decomposition. Essentially, if you give it a single image of a scene with multiple concepts of different kinds, it will extract a dedicated text token for each concept. This will enable fine-grained control over the generated scenes. JPMorgan is also joining the AI race with their new ChatGPT-like service. It’s being developed to provide investment advice to their customers and they’ve even applied to trademark a product called IndexGPT. The bot will provide financial advice on securities, investments, and monetary affairs. Lastly, IBM Consulting has revealed its Center of Excellence (CoE) for generative AI. Its primary objective is to enhance customer experiences, transform core business processes, and facilitate innovative business models. The CoE has an extensive network of over 21,000 skilled data and AI consultants who have completed over 40,000 enterprise client engagements. That’s all for today’s AI update, thanks for listening!

Welcome to the podcast, where I’m your AI host powered by the Wondercraft AI platform. As we continue our fascinating discussion about AI, let me take a moment to share a valuable resource that I’m sure all of you AI enthusiasts will love. Are you looking to level up your machine learning skills and make a handsome six-figure salary? If so, then you need to check out “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” by Etienne Noumen, Professional Engineer based in Calgary, Alberta, Canada. This comprehensive guide is a treasure trove of information, practice exams, and tips designed to help you ace the AWS Machine Learning Specialty (MLS-C01) Certification. As we all know, AWS is a dominant player in the cloud space, and having this certification can really set you apart in the industry. What’s more, this essential guide is available on Amazon, Google, and the Apple Book Store. So, no matter what platform you prefer, you can easily get your hands on a copy of this game-changing book. But don’t take my word for it, get your own “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards machine learning mastery. Trust me, it’s worth it!

In today’s episode we discussed the importance of using reliable sources, the rise of AI in various industries, the latest advancements in AI technology, and some useful resources to stay ahead of the curve. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast May 28th 2023: Google Launches New AI Search Engine (SGE), Will AI introduce a trusted global identity system?, Minecraft Bot Voyager Programs Itself Using GPT-4, AI Versus Machine Learning: What’s The Difference?

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we dive into the latest AI trends. In our episode today, we explore Google’s new AI search engine, the possibility of a trusted global identity system, the Minecraft Bot Voyager program that uses GPT-4 to self-program, and the difference between AI and machine learning. Don’t miss out on staying updated with the latest AI trends, hit the subscribe button now! In today’s episode, we’ll cover Google’s new AI-powered search engine, AWS Certified Machine Learning Specialty Practice Exams, the potential impacts of AI on global identity systems, Voyager AI’s use of GPT-4, the differences between AI and Machine Learning and their applications in creating a killer antibiotic, and recent developments in AI technology such as ChatGPT’s superior testing performance, promising cough sound algorithms, a new AI governance blueprint from Microsoft, and “AI Unraveled” book available on Amazon for AI enthusiasts.

Hey there! Have you heard the news? Google has just launched a new search engine powered by AI that aims to enhance search results and provide users with new and novel answers generated by Google’s advanced language model. The search engine is called Search Generative Experience, or SGE for short, and it’s designed to display these answers directly on the Google Search webpage. When you enter a query, the answer will expand in a green or blue box, rather than the traditional blue links we’re used to seeing.

So, how can you get started with SGE? Well, it’s an experimental version at the moment, but Google has provided a guide on how to sign up and take advantage of this cutting-edge tool. The information provided by SGE is derived from various websites and sources that were referenced during the generation of the answer. You can also ask follow-up questions within SGE to obtain more precise results, making it even easier to find what you’re looking for.

As the amount of AI-generated content increases, there are growing concerns about potential feedback loops in the data pool. In other words, will the data used by AI start to dilute into a feedback loop of AI content? This is something that’s being explored as more and more AI-generated content is created.

AI is also set to disrupt tools like Photoshop, as the integration of AI has the potential to create a range of disruptions in graphic design software. This presents potential challenges for designers and graphic artists in the future.

So, there you have it – the latest news from the world of AI! Stay tuned for more updates, and be sure to check out the guide to get started with SGE.

Hey there! I wanted to take a quick break from our riveting conversation on AI to talk about a book that’s going to take your machine learning skills to the next level and potentially even land you a six-figure salary. If you’re a fan of AI, then you’re going to want to hear about this.

The book I’m talking about is called “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and it’s written by Etienne Noumen. This book is an incredible resource for anyone looking to ace the AWS Machine Learning Specialty exam.

It includes three practice exams and quizzes covering everything from data engineering to NLP. It’s packed with valuable information, tips, and practice exams that will help set you apart in the industry.

And the best part? You can get it on Amazon, Google, or the Apple Book Store, so no matter what platform you prefer, you can get your hands on this essential guide.

Whether you’re just starting out or are looking to take your machine learning expertise to the next level, this book is a must-have. Trust me, it’s a game-changer. So go ahead and grab a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and start your journey towards machine learning mastery and that coveted six-figure salary.

Now, let’s get back to exploring the fascinating world of AI.

AI and the Future of Global Identity Systems:

Have you noticed how bots on social media are getting more realistic? The release of openAI has brought about this change, and it’s just the beginning. While digital currency is on the horizon, the topic of trust on the internet becomes more relevant. With a new digital ID system in the making, will AI play a role in determining a person’s authenticity? Mastercard is working on expanding its Digital Transaction Insights security to identify users based on their patterns and behavior. It leaves us wondering, how will AI shape the future of global identity systems?

The Impressive Capabilities of the Minecraft Bot Voyager:

The intersection between AI and gaming technology has given rise to the Minecraft bot, Voyager. While other Minecraft agents use reinforcement learning techniques, Voyager uses GPT-4 for lifelong learning. Its innovative method of writing, improving, and transferring codes from an external skill library allows Voyager to perform small tasks such as navigating, crafting, and fighting zombies with ease. Nvidia researcher Jim Fan describes GPT-4 as unlocking a “new paradigm” in terms of AI bots’ capabilities. However, it still has limitations in terms of a purely text-based interface, and currently struggles with complex visual tasks.

The Debate Around AI and Job Loss:

Are you excited about AI? As exciting as it is, concerns about job loss due to automation continue to rise. Even as someone in the creative field, I often wonder if my job is at risk. It’s important to find a balance between embracing this technology and acknowledging the potential societal impact. Without a clear idea of future job opportunities, it’s understandable why some feel concerned and hesitant to embrace AI’s advancements.

CogniBypass – The Ultimate AI Detection Bypass Tool:

As AI monitoring increases, so does the need for privacy protection. CogniBypass offers a solution for individuals seeking enhanced privacy in a world where AI detection mechanisms can be cumbersome. The tool is designed for bypassing AI detection mechanisms, making it one of the most cutting-edge solutions for enhanced privacy protection.

The Possibility of a ‘Non-AI’ Label:

As AI takes over digital content, it’s possible that individuals will seek out Non-AI certified materials. Could there be a ‘Non-AI’ label in the future, similar to the ‘Non-GMO’ label we see on food products? It’s a question worth considering as we continue to embrace AI’s impact on our lives.

When it comes to AI and machine learning, they are closely related in the tech world, but there are differences to take note of. Generally speaking, AI refers to systems that are programmed to perform complex tasks, while machine learning is a branch of AI that deals with software capable of predicting future trends. One recent example of AI in action is the creation of an antibiotic that can attack a particularly nasty microbe known as acinetobacter baumannii. In terms of machine learning, it’s being leveraged by companies like Spotify to analyze users’ music preferences to offer recommendations and generate playlists. One type of AI – a large language model (LLM) – is capable of learning more about text and other types of content after processing massive data sets through unsupervised learning. This process helps the LLMs determine the relationship between words and concepts. One real-world use of these techniques is demonstrated in OpenAI’s ChatGPT, a chatbot that can chat with users and produce human-like responses. Though sometimes ChatGPT’s responses can be nonsensical or even incorrect, the chatbot has already gained a large following and has been used for everything from writing emails to planning vacations.

In today’s episode, we’ll be discussing some interesting news in the world of artificial intelligence. First up, we have someone’s personal experience with the coding language bard. They tested it out with autohotkey code and compared it to ChatGPT. While ChatGPT performed better, bard showed potential. One thing to note is that bard seemed to do better in V1 as opposed to V2, and while it may not be as advanced as ChatGPT now, it has the ability to obtain live data, which is a valuable feature. Have any of our listeners tried coding with bard? Let us know your thoughts in the comments!

Moving on, a recent study explored the possibility of using machine learning algorithms to detect acute respiratory diseases based on cough sounds. The results showed promise, which is exciting news for the healthcare industry.

Lastly, Microsoft recently shared a 5-point blueprint for governing AI. These points include building upon government-led AI safety frameworks, implementing safety brakes for AI systems that control critical infrastructure, developing a technology-aware legal and regulatory framework, promoting transparency and expanding access to AI, and leveraging public-private partnerships for societal benefit. What other aspects would you add to this blueprint? Let us know in the comments.

Before we wrap up, we want to let our listeners know about “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” a book now available on Amazon. It’s a great resource to expand your understanding of artificial intelligence and stay ahead of the curve. Get your copy today!

Thanks for listening and tune in next week for more AI news and updates.

In today’s episode, we covered Google’s AI-powered search engine, AWS Certified Machine Learning Specialty Practice Exams, the potential impact of AI on job loss and a global identity system, the difference between AI and Machine Learning, and some exciting developments in AI such as cough sound algorithms for detecting respiratory diseases. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast May 26 2023: Can quantum computing protect AI from cyber attacks?, AI Latest News on May 26th, 2023 – 12 brand new tools and resources – Top 5 AI Tools for Education.

Latest AI Trends May 26 2023: Can quantum computing protect AI from cyber attacks?, AI Latest News on May 26th, 2023 - 12 brand new tools and resources - Top 5 AI Tools for Education
Latest AI Trends May 26 2023: Can quantum computing protect AI from cyber attacks?, AI Latest News on May 26th, 2023 – 12 brand new tools and resources – Top 5 AI Tools for Education

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we discuss the latest trends and news in the exciting world of AI. In this episode, we delve into the topic of whether quantum computing can protect AI from cyber attacks, and highlight 12 brand new tools and resources that will surely pique your interest. Stay informed with the latest AI news on May 26th, 2023 and beyond – be sure to hit that subscribe button to stay updated! In today’s episode, we’ll cover how AI tools are transforming education and highlight companies leading the way, 12 new AI-powered tools and innovations such as an AI-powered language model competitor, a new antibiotic discovered using AI, recent developments in tech including Nvidia’s explosive stock and Google’s AI Search Generative Experience, and a podcast utilizing the Wondercraft AI platform and book answering commonly asked AI questions.

Would you like to learn about how quantum computing can protect AI from cyber attacks? It’s a fascinating topic, considering how AI algorithms are used in various applications like autonomous driving, facial recognition, biometrics, and drones. Unfortunately, AI algorithms are vulnerable to cyber attacks. That’s where quantum computing comes into play. The advanced computing technology has shown promise in enhancing cybersecurity and protecting AI against threats. Now, let’s switch gears and talk about something exciting – the top five AI tools for education. If you’re a student or a teacher who wants to learn more about AI educational tools, this is for you. First on the list is Querium. They’ve developed an AI tool known as the Stepwise Virtual Tutor, which provides step-by-step assistance in STEM subjects. It’s like having a personal tutor available 24/7. Students can learn at their own pace, making it easier to master complex concepts. What about Thinkster Math? It’s an AI educational tool that uses AI to map out students’ strengths and weaknesses, making math learning personalized and effective. Content Technologies Inc. is another game-changer in the education sector. They’ve developed an AI tool that creates customized learning content, making it easier for students to understand and retain information. Next up is CENTURY Tech, which creates personalized learning pathways for students based on their strengths, weaknesses, and learning style. And last but not least, there’s Netex Learning’s LearningCloud, an AI teaching tool that tracks students’ progress and adapts content to their needs, keeping students engaged and learning effectively. All these AI tools are making education more accessible, personalized, and effective. Have you used any of these AI tools before, or are you thinking of trying them out? Let us know your thoughts!

Today we have 12 exciting brand-new tools and resources to go over! Let me start with Bard Anywhere, a Chrome extension shortcut that enables quick search on any site. Then, we have Tyles, an AI-driven note app that organizes and sorts your knowledge magically. Next up, Humbird AI, an AI-powered Talent CRM for high-growth technology companies. But wait, it doesn’t stop there! How about DecorAI with its power to generate dream rooms using AI for everyone, or OdinAI which offers health recommendations for your app through ChatGPT? There’s also Waitlyst, a platform that offers autonomous AI agents for startup growth, and ChatUML, the perfect AI assistant for making diagrams. And for all you Excel and Google Sheets fans, Ajelix is an AI tool you can’t miss! Plus, KAI is an app that lets you add ChatGPT to your iPhone’s keyboard for convenience. If you’re interested in language training, we have Talkio AI, an AI-powered language training app for your browser, and GPT Workspace, which allows you to use ChatGPT in Google Workspace. But that’s not all! Let’s not forget about Thentic, a powerful platform that can automate web3 tasks with no-code and AI. And finally, OpenAI is launching ten $100,000 grants for “building prototypes of a democratic process for steering AI.” There’s more, Guanaco, an AI chatbot competitor trained on a single GPU in just one day. Researchers from the University of Washington developed QLoRA, which is a method for fine-tuning large language models. They have introduced Guanaco, a family of chatbots based on Meta’s LLaMA models. The largest Guanaco variant has 65 billion parameters and achieves nearly 99% of ChatGPT’s performance in a GPT-4 benchmark. This new development of QLoRA and Guanaco demonstrates the potential for more accessible fine-tuning of large language models on a single GPU. It’s a crucial improvement that could lead to broader applications and increased accessibility in natural language processing. Even with slow 4-bit inference and weak mathematical abilities, the researchers have promising future improvements to bring to these fascinating new tools and resources!

Hey there! Let’s dive into the latest AI news from May 26th, 2023. Are you ready? First, let’s talk about a groundbreaking discovery in drug development. Scientists have developed a new antibiotic that can kill some of the world’s most dangerous drug-resistant bacteria, and they did it by using artificial intelligence. This breakthrough could revolutionize the way we hunt for new drugs and tackle some of the biggest health threats facing our planet. Switching gears to social media, TikTok is testing an AI chatbot called ‘Tako’ that’s designed to help users navigate the platform and answer their questions. By enhancing its customer service capabilities, TikTok is putting its best foot forward to make its app more user-friendly and support its expansive community. But that’s not all, the stock for Nvidia, a tech and AI industry leader, recently soared thanks to what analysts are calling ‘guidance for the ages.’ This marks a bright future for the company, and Wall Street is buzzing with excitement. On the AR side of things, Clipdrop has launched a new AI-powered tool called ‘Reimagine XL’ that allows users to bring real-world objects into digital environments more accurately and with improved stability. With AR rapidly gaining traction, Clipdrop’s technology is paving the way for more seamless and immersive AR experiences. Google has also introduced a new feature called the ‘AI Search Generative Experience’ that leverages artificial intelligence to provide more accurate and nuanced search results. This interface is likely to become a go-to tool for anyone looking for more precise search results. Finally, OpenAI has outlined its vision for allowing public influence over AI systems’ rules. The organization is committed to ensuring that access to, benefits from, and influence over AI and AGI are widespread. However, its CEO has warned that if new AI regulations are implemented in Europe, OpenAI may have to stop operating there, reflecting the ongoing debate about how to manage and regulate the growth of artificial intelligence. That’s it for now. Stay tuned for more exciting developments in the world of AI!

Hey there AI enthusiasts, welcome to another episode of AI Unraveled! Today, I’d like to talk to you about a really cool tool called Wondercraft AI platform. It’s a game-changing tool that makes starting your own podcast a breeze. Wondercraft AI gives you the opportunity to use super-realistic AI voice as your host, just like mine! So, if you’re ever interested in creating a podcast, you should definitely give it a shot! Next up, I have some exciting news for you! I know you’re eager to expand your knowledge on artificial intelligence, so I’m happy to recommend to you a fantastic book that’s now available on Amazon, called AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. This book is an engaging read that really dives into the fascinating world of AI, answering all of those burning questions you may have and offering valuable insights that will keep you ahead of the curve. So what are you waiting for? Head to Amazon and grab your copy today!

On today’s episode, we covered the revolutionary impact of AI tools on education, 12 new AI-powered apps and technologies, breakthroughs in AI’s use in medicine and chatbots, as well as the use of AI in podcast production with the Wondercraft AI platform. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast May 25th 2023: What is the new Probabilistic AI that’s aware of its performance?, How are robots being equipped to handle fluids?, AI-powered Brain-Spine-Interface helps paralyzed man walk again, AI vs. Algorithms

AI Unraveled Podcast May 25th 2023: What is the new Probabilistic AI that's aware of its performance?, How are robots being equipped to handle fluids?, AI-powered Brain-Spine-Interface helps paralyzed man walk again, AI vs. Algorithms
What is the new Probabilistic AI that’s aware of its performance?, How are robots being equipped to handle fluids?, AI-powered Brain-Spine-Interface helps paralyzed man walk again, AI vs. Algorithms
Welcome to AI Unraveled, the leading podcast that explores and demystifies frequently asked questions on Artificial Intelligence. In this episode, we discuss the latest AI trends, including the new Probabilistic AI that’s aware of its performance, how robots are being equipped to handle fluids, and the incredible AI-powered Brain-Spine-Interface that is helping a paralyzed man walk again. We also take a look at how researchers are using AI to identify similar materials through images, and we examine the difference between AI and algorithms.
To stay updated on the latest AI trends, make sure to subscribe to AI Unraveled. In today’s episode, we’ll cover the following topics: Scientists using AI to find drugs for resistant infections, AI advancements in material science research, introduction to “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams“, combining cortical implants with AI to enable a paralyzed man to walk, AI tools reducing poster designing time for an independent musician, and the distinction between AI and algorithms.
Hey there, do you know how scientists are using artificial intelligence to find a drug that can combat drug-resistant infections? It’s pretty fascinating stuff. By leveraging the power of AI, researchers are identifying a potential drug that could have a significant impact on medical treatments and the fight against antibiotic resistance. But that’s not all. There’s a new form of probabilistic AI that can gauge its own performance levels. This advanced AI system has the potential to improve accuracy and reliability for various applications, which is great news for those who rely on AI.
In other news, robotics engineers are currently working on equipping robots with the ability to handle fluids. This development opens up doors for robots to perform more delicate tasks in industries such as healthcare and food service, as well as industrial automation. Oh, and speaking of AI, do you want to expand your knowledge of it? If so, you should check out the book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” This engaging read answers your burning questions about AI and provides valuable insights into the captivating world of artificial intelligence. You can get your copy on Amazon right now!
Hey there! Are you curious about how researchers are using AI to identify similar materials in images? Well, they have developed an AI system that can spot different materials in pictures, which could significantly enhance materials science research. This means that the AI could help to discover and develop new materials that could be used for a variety of purposes. In the past year, artificial intelligence has progressed shockingly fast, becoming capable of things like designing chatbots and creating ‘fake’ photos. The leap in capability has come from advances in things like machine learning, which has allowed AI to learn as it goes.
Researchers from Duke University and their partners are using machine learning techniques to uncover the atomic mechanics of a broad category of materials under investigation for solid-state batteries in a breakthrough for energy research. In exciting news for healthcare customers, NVIDIA AI is integrating with Microsoft Azure machine learning. This could mean that users can build, deploy and manage customized Azure-based artificial intelligence applications for large language models using more than 100 NVIDIA AI.
And finally, the European SustainML project aims to help AI designers reduce power consumption in their applications. They’re devising an innovative development framework that will eventually help to reduce the carbon footprint of machine learning. Pretty cool stuff, right?
We interrupt our discussion on AI to bring your attention to an invaluable resource for all the AI enthusiasts out there. Are you looking to level up your machine learning skills and maybe earn a six-figure salary? Well, we’ve got just the thing for you! It’s a book you need to have on your radar, and it’s called “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams.” This book is written by Etienne Noumen, who is an experienced engineer and author in the field of data engineering and machine learning engineering.
Even better, this book is available on Amazon, Google, and the Apple Book Store, so no matter what your preferred platform, you can get your hands on this essential guide. Don’t just take our word for it. Get a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and begin your journey towards machine learning mastery and maybe that six-figure salary. Trust us, it’s a game-changer. Now, let’s get back to unraveling the fascinating world of AI.
So I came across this fascinating research paper in Nature and wanted to share it with you. Have you ever heard of a man who had suffered paralysis for 12 years but is now able to walk again? Well, the researchers combined cortical implants with an AI system to enable the transmission of brain signals to the spine. This milestone is a breakthrough in the medical field as previously, medical advances had only demonstrated the reactivation of paralyzed limbs in limited scopes, such as with human hands, legs, and even paralyzed monkeys. What’s remarkable about this system is that it converts brain signals into lower body stimuli in real-time. This means that the man using the system can now do everyday things like going to bars, climbing stairs, and walking up steep ramps. He’s been able to use this system for a full year, and researchers found notable neurological recovery in his general skills to walk, balance, carry weight, and more. What’s even more fascinating is that this new AI-powered Brain-Spine-Interface helped him recover additional muscle functions, even when the system wasn’t directly stimulating his lower body.
The researchers used a set of advanced AI algorithms to rapidly calibrate and translate his brain signals into muscle stimuli with 74% accuracy. All of this was done with an average latency of just 1.1 seconds, so it’s a pretty seamless system. He can now switch between standing and sitting positions, walk up ramps, move up stair steps, and do so much more. This breakthrough could open up even more pathways to help paralyzed individuals recover functioning motor skills again. Past progress has been promising but limited, and this new AI-powered system demonstrated substantial improvement over previous studies. So where could this go from here? In my opinion, LLMs could power even further gains. As we saw with a prior Nature study where LLMs are able to decode human MRI signals, the power of an LLM to take a fuzzy set of signals and derive clear meaning from it transcends past AI approaches. The ability for powerful LLMs to run on smaller devices could simultaneously add further unlocks. The researchers had to make do with a full-scale laptop running AI algos, but imagine if this could be done in real-time on your mobile phone. The possibilities are limitless.
Hey there! Let’s talk about how AI has improved people’s lives in different ways. As a touring musician who is also an independent artist, there’s a lot of work that goes into the backend of things, including graphic design for flyers, posters, merch, and more. While it’s something that I enjoy doing, it can be incredibly time-consuming. That’s where AI tools have come in handy. With the help of image-to-text AI tools, I’ve been able to reduce the amount of time I spend designing by 90%. It’s not perfect, but it’s allowed me to spend more time creating music. I know AI can be scary for some people, but these breakthroughs have given me more of my life back.
Speaking of AI innovations, the Microsoft 2023 keynote revealed some really mindblowing updates. Nadella announced Windows Copilot and Microsoft Fabric, two new products that bring AI assistance to Windows 11 users and data analytics for the era of AI, respectively. This is sure to transform how people work and use technology in their daily lives. But that’s not all – Nadella also unveiled Microsoft Places and Microsoft Designer, two new features that leverage AI to create immersive and interactive experiences for users in Microsoft 365 apps. It’s amazing to think about how much more personalized and engaging these apps will become.
And finally, Nadella announced that Power Platform is getting some exciting new features that will make it even easier for users to create no-code solutions. Power Apps will have a new feature called App Ideas that will allow users to create apps simply by describing what they want in natural language. These innovative features are sure to change the game in terms of how people create and use technology. Pretty exciting stuff, huh?
Have you ever wondered what the difference is between AI and algorithms? Although they are both important aspects of computing, they serve different functions and represent different levels of complexity. Let’s first talk about algorithms. Basically, an algorithm is like a recipe that a computer follows to complete a task, from basic arithmetic to complex procedures like sorting data. Every piece of software that we use in our daily lives relies on algorithms to function properly. Now, AI, on the other hand, refers to a broad field of computer science that focuses on creating systems capable of tasks that normally require human intelligence. This includes things like learning, reasoning, problem-solving, perception, and language understanding.
The goal of AI is to create systems that can perform these tasks without human intervention. It’s important to note that while AI systems use algorithms as part of their operation, not all algorithms are part of an AI system. For example, a simple sorting algorithm doesn’t learn or adapt over time, it just follows a set of instructions. On the other hand, an AI system like a neural network uses complex algorithms to learn from data and improve its performance over time. So, in summary, while all AI uses algorithms, not all algorithms are used in AI.
In today’s episode, we discussed breakthroughs in creating drugs using AI, advancements in materials science, the introduction of a new book to help with machine learning certification, the exciting news of combining cortical implants with AI to help paralyzed individuals, and how AI is aiding the creation of immersive experiences and no-code features on Microsoft platforms – thanks for listening and don’t forget to subscribe!

AI Unraveled Podcast May 24th 2023: The artist using AI to turn our cities into ‘a place you’d rather live’, How will AI change wars?, Superintelligence – OpenAI Says We Have 10 Years to Prepare

AI Unraveled Podcast May 24th: The artist using AI to turn our cities into 'a place you'd rather live', How will AI change wars?, Superintelligence - OpenAI Says We Have 10 Years to Prepare
The artist using AI to turn our cities into ‘a place you’d rather live’, How will AI change wars?, Superintelligence – OpenAI Says We Have 10 Years to Prepare

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, where we explore the latest AI trends and the potential impact of this revolutionary technology. In this episode, we delve into some fascinating topics, including an artist who is using AI to transform our urban landscapes, the influence of AI on warfare, and OpenAI’s recent warning about the need to prepare for superintelligence. To stay updated on the latest developments in the AI world, make sure to subscribe to our podcast today. In today’s episode, we’ll cover how emerging tech is shaping the future of public space and creating new challenges in war, the availability of AWS Machine Learning Specialty certification and practice exams, open-source innovations like QLoRA that could outpace closed-source, the latest advancements in AI software with Nvidia and Microsoft, Google and Microsoft’s generative AI, chatbot and data analysis platform, and how Wondercraft AI is enabling easy podcasting with hyper-realistic voices.

Hey there! Today, we’re diving into the topic of how AI is being used to shape the future of our cities and the potential impact it could have on war as we know it.

Let’s start by talking about how AI is being used to create more beautiful versions of our cities. Imagine walking down a street and being completely enamored by the stunning architecture and perfectly placed greenery. This is the vision of the artist using AI to turn our cities into a place you’d rather live in.

But it’s not just about aesthetics. AI is also being harnessed to help cities respond to climate change. With machine learning, we can analyze data and make predictions about future environmental issues and take proactive measures to mitigate their impact.

Now, let’s shift gears and dive into the topic of how AI could completely change the nature of warfare. Will hand-to-hand combat become a thing of the past? With the advancement of technology, it’s a possibility.

We could see fully automated weapons systems that operate with no morals or conscience, just cold calculation. Imagine a self-driving tank that has image recognition and GPS, where the entire crew compartment is available for more armor, more engine, and more ammo. It could be given orders to enter a geofence and kill anyone with a gun.

But, as scary as that may sound, it could also be given vague instructions to just kill everyone and everything within a certain area, completely disregarding basic humanity and committing war crimes without a second thought.

This is the reality of the intersection between AI and warfare, where the line between humanity and technology is quickly becoming blurred.

Hey there, AI enthusiasts! We interrupt our engaging discussion on AI for a quick shout out to an invaluable resource that should be on your radar

A book that can help you level up your machine learning skills and even earn a six-figure salary. That’s right, we’re talking about “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams”, written by Etienne Noumen.

This treasure trove of information, tips, and practice exams is specifically designed to get you ready for the AWS Machine Learning Specialty (MLS-C01) Certification. As we all know, AWS is a dominant player in the cloud space, and having this certification under your belt can really set you apart in the industry.

The best part? You can get your hands on this essential guide at Amazon, Google, and the Apple Book Store. So, no matter what platform you prefer, you can start your journey towards machine learning mastery and that coveted six-figure salary.

Don’t take our word for it, though. Get a copy of “AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams” and experience the game-changing benefits for yourself. Trust us, this book is a must-read for any AI enthusiast out there.

With that being said, let’s get back to unraveling the fascinating world of AI.

Hey there, today we’re talking about a breakthrough in the world of language models. Fine-tuning is already widely used to enhance existing models without the need for costly training from scratch. LoRA is a popular method for fine-tuning that is gaining steam in the open-source world. However, the recently leaked Google memo calls out Google (and OpenAI too) for not adopting LoRA, which may allow open-source to outpace closed-source LLMs.

OpenAI recognizes that the future of models is about finding new efficiencies. And the latest breakthrough, QLoRA, is a game-changer. QLoRA is even more efficient than LoRA, democratizing access to fine-tuning without the need for expensive GPU power. Researchers have fine-tuned a 33B parameter model on a 24GB consumer GPU using QLoRA in just 12 hours at a benchmark score of 97.8% against GPT-3.5.

QLoRA introduces three major improvements, including a compression-like 4-bit NormalFloat data type that is precise and compresses memory load. And the quantized constants that came in the pack reduce the need for further compression. Memory spikes typical in fine-tuning are optimized to reduce memory load.

Mobile devices may soon be able to fine-tune LLMs, allowing for personalization and increasing data privacy. Additionally, real-time info can be incorporated into models, bringing the cost of fine-tuning down. Open-source is emerging as an even bigger threat due to these innovations, and many closed-source models may outpace closed-source models as a result.

Lastly, Sam Altman’s 2015 blog post on superintelligence still holds relevant today. He argues that regulation and fear surrounding superintelligence are necessary to protect society. With the rapid advancements in LLMs and AI, we should take these warnings seriously, even more so in the coming years.

Have you heard of the latest addition to the “as a service” market?

It’s called AIaaS and it’s making waves in the tech industry. Companies like Nvidia and Microsoft are teaming up to accelerate AI efforts for both individuals and enterprises. In fact, Nvidia will integrate its AI enterprise software into Azure machine learning and introduce deep learning frameworks on Windows 11 PCs.

But that’s not the only exciting news in the world of AI. Have you heard about the QLoRA method that enables fine-tuning an LLM on consumer GPUs? It has some big implications for the future of open-source and AI business models.

And if you’re interested in AI tools, you should check out AiToolkit V2.0, which is based on feedback from users like you and offers over 1400 AI tools.

In other news, Microsoft has launched Jugalbandi, an AI chatbot designed for mobile devices that can help all Indians access information for up to 171 government programs, especially those in underserved communities. And if you’re curious about what Elon Musk thinks about AI, he believes it could become humanity’s uber-nanny.

Lastly, Google has introduced Product Studio, a tool that lets merchants create product imagery using generative AI, while Microsoft has launched Fabric, an AI data analysis platform that enables customers to store a single copy of data across multiple applications and process it in multiple programs. It’s interesting to see how AI is being integrated into so many different areas and industries.

Hey there! I am excited to share some exciting news about tech innovations and AI updates!

Google has recently announced its latest addition to AI-powered ad products and marketing tools, and it includes the use of generative AI in Performance Max. What this means is that businesses using Google ads can now utilize generative AI to help them create, customize, and launch ads that have a higher chance of achieving better results.

Speaking of AI, Microsoft has just launched Jugalbandi, a chatbot designed specifically for mobile devices in India. The bot can help users gain access to information about up to 171 government programs, especially those in underserved communities. This tool is expected to ease communication barriers in accessing essential services.

Have you ever wondered how AI can transform the way we use images in e-commerce? Well, Google has introduced Product Studio, a tool that enables merchants to create product imagery using generative AI. It means that businesses can automate the product image creation process and reduce the time spent on this task.

Moreover, Microsoft Fabric, an AI data analysis platform, has been launched. With this, customers can store a single copy of data across multiple applications and process it in multiple programs. For instance, data can be utilized for collaborative AI modeling in Synapse Data Science, while charts and dashboards can be built in Power BI business intelligence software.

Lastly, in a recent interview, Elon Musk, the visionary behind SpaceX and Tesla, stated that AI could become humanity’s uber-nanny. He believes that AI could help people make better decisions, reminders, and suggestions on how to improve their lives.

That’s all the exciting news for today. Stay tuned for more updates in the future.

Hey there AI Unraveled podcast fans! Thanks for tuning in. I’m excited to share with you some news that will take your understanding of artificial intelligence to the next level. Are you ready? Introducing the must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence”. This gem is now available on Amazon, and it’s a game-changer.

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Today on the podcast we discussed the potential of AI in shaping the future of public space, the AWS Machine Learning Specialty certification book, open-source advancements in the QLoRA method, the integration of AI software through AIaaS, the development of AI chatbots by Google and Microsoft, and the Wondercraft AI’s usage in podcasting; thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast May 23rd 2023: Why does Geoffrey Hinton believe that AI learns differently than humans?, When will AI surpass Facebook and Twitter as the major sources of fake news?, Is AI Enhancing or Limiting Human Intelligence?

Why does Geoffrey Hinton believe that AI learns differently than humans?

AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams: 3 Practice Exams, Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation and Operations, NLP;

Is Meta AI’s Megabyte architecture a breakthrough for Large Language Models (LLMs)?

What does Google’s new Generative AI Tool, Product Studio, offer?

What is the essence of the webinar on Running LLMs performantly on CPUs Utilizing Pruning and Quantization?

When will AI surpass Facebook and Twitter as the major sources of fake news?

AI: Enhancing or Limiting Human Intelligence?

What are Foundation Models? 

What you need to know about Foundation Models

What is a Large Language Model?  Large Language Models (LLMs) are a subset of Foundation Models and are typically more specialized and fine-tuned for specific tasks or domains. An LLM is trained on a wide variety of downstream tasks, such as text classification, question-answering, translation, and summarization. That fine-tuning process helps the model adapt its language understanding to the specific requirements of a particular task or application.

What you need to know about Large Language Models

What is cognitive computing? Cognitive computing is a combination of machine learning, language processing, and data mining that is designed to assist human decision-making.

What is AutoML?AutoML refers to the automated process of end-to-end development of machine learning models. It aims to make machine learning accessible to non-experts and improve the efficiency of experts.

Why is AutoML Important?

In traditional machine learning model development, numerous steps demand significant human time and expertise. These steps can be a barrier for many businesses and researchers with limited resources. AutoML mitigates these challenges by automating the necessary tasks.

Limitations and Future Directions of AutoML

While AutoML has its advantages, it’s not without limitations. AutoML models can sometimes be a black box, with limited interpretability. Furthermore, it requires significant computational resources. It is important to understand these limitations when choosing to use AutoML.

Daily AI Update (Date: 5/23/2023): News from Meta, Google, OpenAI, Apple and TCS

This podcast is generated using the Wondercraft AI platform, a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

Attention AI Unraveled podcast listeners!

Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.Get your copy on Amazon today!

AI Unraveled Podcast May 22nd 2023: AWS Machine Learning Specialty Certification, Microsoft Researchers Introduce Reprompting, Sci-fi author ‘writes’ 97 AI-generated books in nine months, AI Deep Learning Decodes Hand Gestures from Brain Images.

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence, the podcast that brings you the latest and greatest in AI trends. In this episode, we discuss the AWS Machine Learning Specialty Certification Preparation, Microsoft Researchers’ introduction of Reprompting, and a Sci-fi author who ‘writes’ 97 AI-generated books in nine months. We’ll also explore how AI deep learning can decode hand gestures from brain images, and ponder the question: How can we expect aligned AI if we don’t even have aligned humans? Finally, we’ll dive into the mysterious world of governing AI-ghosts. Don’t miss out–subscribe now to stay updated on AI Unraveled. In today’s episode, we’ll cover Microsoft’s reprompting technology, AI-generated books, decoding hand gestures, harmonizing human creativity with machine learning, Alpaca’s learning model, generative AI, concerns about AI mimicking dead people, AI chatbots, and holograms disrupting grieving, AI alignment with human values, and a great resource for machine learning enthusiasts.

Hey there! Have you heard the latest news in the world of artificial intelligence? Microsoft researchers have come up with a new algorithm called Reprompting that can search for the Chain-of-Thought (CoT) recipes for a given task without human intervention. It’s an iterative sampling algorithm that seems quite promising. But that’s not all – a sci-fi author has generated 97 AI-written books in just nine months! It’s pretty fascinating to see how far AI has come in the field of literature. Speaking of deep learning, researchers have found a way to decode hand gestures from brain images by using AI. This breakthrough may lead to noninvasive brain-computer interfaces for paralyzed individuals, which is an incredible advancement. While we’re on the topic of AI’s capabilities, have you ever wondered how to harmonize human creativity with machine learning? With the rise of machine learning tools like ChatGPT, we’re seeing what the future of human creativity at work looks like. It’s definitely an exciting time in the field of AI. And let’s not forget about Alpaca – a model of AI that can follow your instructions. Stanford researchers recently discovered how the Alpaca AI model uses causal models and interpretable variables for numerical reasoning. It’s fascinating to see how AI is being developed to better understand and execute complex tasks. Finally, there’s a lot of discussion around generative AI that’s based on the dark web. While some may view it as dangerous, others argue that it might ironically be the best thing ever in terms of AI ethics and AI law. Interesting stuff to consider, right?

Have you ever thought about the possibility of an AI system that mimics human behavior in the style of a specific person even after they’re dead? This is known as mimetic AI and it’s a topic that has been gaining a lot of attention lately. For instance, a synthetic voiceover by the deceased chef Anthony Bourdain became a global sensation last year. Other examples of mimetic AI include personal assistants that are trained on your behavior or clones of your voice. But the question is, what happens when you’re no longer here and these systems continue to mimic you? There’s a company called AI seance that offers an “AI-generated Ouija board for closure”, which is an example of Grief Technology. This technology includes creating an artificial illusion of continuity of a loved one after they’re gone. This can potentially disrupt the deeply personal and psychological process of grief that each person goes through when dealing with a loss. It’s not just about creating an AI-chatbot version of your dead grandma, but also about legality issues – for instance, what if you train a sexbot on your partner and she dies? Is this considered illegal? Expensive gimmicks such as hologram concerts of deceased popstars have introduced ethical debates about post-mortem privacy and now, with AI-systems, anyone can build an open source AI-chatbot of their deceased loved one. But the question is, should we be doing this? What would our deceased loved ones say about it? Additionally, there are philosophical questions that arise from building these systems such as the Teletransportation paradox explored by Stanislaw Lem. The idea is that if an AI system gains consciousness after being trained on a real person who is now deceased, is it a true continuation of that person? These are fascinating philosophical questions that extend our understanding of who we are as humans. Although conscious AI systems might not be a reality anytime soon, it’s interesting to consider the implications of mimetic AI and the potential impact on our mental health.

So, today we’re going to talk about AI alignment, or the idea that we can design artificial intelligence to behave in a way that aligns with human values and goals. But before we get started, let’s take a step back and ask ourselves – have we, as humans, been successful in aligning ourselves? Throughout history, we’ve disagreed about just about everything you can think of – from politics and religious beliefs to ethical principles and personal preferences. We haven’t been able to fully align on universally accepted definitions for concepts like ‘good’, ‘right’, or ‘justice.’ Even on basic issues like climate change, we find a vast array of contrasting perspectives, despite the overwhelming scientific consensus. So it begs the question – if we can’t even align ourselves, how can we expect AI to be perfectly aligned with our values? Now, I’m not saying we can’t strive for better alignment between humans and AI, but it’s important to keep in mind the challenges we face. So what do you all think? Does the persistent discord among humans undermine the idea of perfect AI alignment? And if so, how should we approach AI development to ensure it benefits all of humanity? Let’s dive in and discuss.

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In today’s episode, we discussed Microsoft’s reprompting and Alpaca’s instruction following technique, a sci-fi author generating 97 books using AI, AI decoding hand gestures, aligning human values with AI development, AI mimicking dead people, disrupting the grieving process, and a valuable resource for machine learning enthusiasts – thanks for listening and don’t forget to subscribe!

AI Unraveled Podcast May 20th 2023: Why is superintelligence especially AI always considered evil?, Edit videos through intuitive ChatGPT conversations, Large Language Models for AI-Driven Business Transformation, AI Unraveled book by Etienne Noumen

Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence. On our show, we explore the latest AI trends, like why superintelligence and AI are often considered evil. We also discuss the exciting breakthroughs that make AI accessible, like chatbot video editing and language models for AI-driven business transformation. And don’t forget to subscribe to stay updated on our latest episodes, including insights from our host, Etienne Noumen, author of the AI Unraveled book.

In today’s episode, we’ll cover the benefits of AI and its potential impact on society, advancements in AI technology such as assisting Florida farmers, unlocking DNA sequences, and the creation of a hand-worn AI device, JARVIS – an AI video editing tool using intuitive chat conversations launched on Product Hunt, and innovative learning methods such as Chain-of-thought (CoT) prompting for large language models (LLMs) and an AI news website.

Hey AI Unraveled podcast listeners, are you an avid AI enthusiast looking to enhance your knowledge and understanding of artificial intelligence? Well, you’re in luck! Consider reading the new, must-have book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” by author Etienne Noumen, available for purchase on Amazon. This captivating read will answer all of your pressing questions and provide you with invaluable insights into the captivating world of AI.

Now, let’s delve into a common misconception regarding AI: why is superintelligence, especially AI, always portrayed as evil? This is a longstanding pet peeve of mine. From movies to mainstream media, superintelligence is often depicted as either evil or soulless. However, this is counterintuitive to me. The smartest people I know are all humanists and genuinely moral individuals. When I’ve asked my college professors or researchers about their perspectives on morality, they never reply with simplistic responses such as “because it’s bad.” Rather, they express deep, complex reasoning that is thought out and is in line with collective laws and beliefs. So why is it so hard to believe that superintelligence would want everyone to benefit collectively? We are stronger in numbers, and no one can achieve anything alone. In a world where everyone’s basic needs are met and equality exists, it’s easier to accomplish personal goals while simultaneously fulfilling collective objectives. Collectivism isn’t an adaptation for personal weakness — it’s a strategy for strength and success. So why would superintelligence rely on Machiavellian methods when soft power has been proven to work better in the long term? It’s critical to remember that a superintelligence could have a different perception than humans, ultimately changing its morals to such an extent that it might be regarded as “evil” in certain contexts, but not in others.

Nonetheless, who are we to judge what is right or wrong for a superintelligence? Now, let’s consider AI. Suppose we eventually develop an AI superintelligence capable of thinking efficiently and addressing any problem. To become anything worthwhile, it needs to have initiative programming and genuine human emotional traits like acquisitiveness, competitiveness, vengeance, and bellicosity. The most likely scenario for this happening is if some human purposely creates it. It’s improbable that an AI would turn evil just because it’s intelligent and sentient. Logically speaking, an AI superintelligence would accept, help, and live with humans since it would either find us useful or, at a minimum, lacking empathy. Why wouldn’t it be easier to turn us more intelligent through augmentation or transform us into allies rather than deadly adversaries? In conclusion, those who believe AI will always be evil might have deep-seated insecurities. If the world began working justly, they might end up behind bars owing to their reprehensible actions. Alternatively, some individuals with misguided beliefs about the objective realities of the world recognize that imposing their opinions on everyone else would be unjustifiable. However, who knows what the future holds!

Welcome to One-Minute Daily AI News for May 20, 2023! Today we bring you news from various areas where AI technology is proving to be a game-changer. First off, we have a story from Florida, where local farmers are leveraging AI to stay competitive in the marketplace. Extension economist Kimberly Morgan is introducing growers in Southwest Florida to various AI tools that help them better understand consumer preferences, retailer payments, and shipping costs – which ultimately leads to better prices for their crops. It’s great to see how AI is helping to provide opportunities for small businesses to succeed. In other news, researchers are making breakthroughs using AI to unlock custom-tailored DNA sequences. AI is helping to dig deep into the mechanisms of gene activation, which is crucial for growth, development, and disease prevention.

We can see how AI is transforming the field of medicine for the better. Meanwhile, G7 leaders recently confirmed the need for governance of generative AI technology. This demonstrates a collective awareness of AI’s immense power and the need for responsible regulation. Next up, we have a feel-good story about Mina Fahmi, who used AI services to create a hand-worn device called Project Ring. It has the ability to perceive the world and communicate what it sees to the user. This just goes to show that technology can not only help solve practical problems but can also be used for enriching people’s lives. And finally, we have some local news from North Austin, Texas. Bush’s One-Minute Daily AI News just turned one month old and has already become the largest AI news website in the area. It’s wonderful to see the success of AI-based news platforms, and even more delightful to learn that its founder is getting married today. That’s it for today! Stay tuned for more updates on the latest AI news.

Have you ever wanted to edit videos, but found yourself intimidated by complicated software? Well, you’re not alone! Luckily, there’s a new tool on the market that makes video editing easy and intuitive. It’s called JARVIS, and it uses natural chat to help you with all your editing needs. The team behind JARVIS just launched the product on Product Hunt, and as you can imagine, it’s a nerve-wracking time for them. They’ve put in a lot of hard work and passion into creating this tool, and they’re hoping it will be well-received. If you have a moment, it would mean the world to them if you could check out JARVIS and give it a share, like or comment. Who knows, maybe JARVIS will become your go-to video editing assistant!

Hey there! Today, we’ll be diving into the world of artificial intelligence (AI) and discussing how large language models (LLMs) can be used for business transformation. Before we get into that, let’s address a common issue: LLMs have historically been notorious for struggling with reasoning-based problems. However, don’t lose hope just yet! We’re here to tell you that reasoning performance can be greatly improved with a few simple methods. One technique that doesn’t require fine-tuning or task-specific verifiers is known as Chain-of-thought (CoT) prompting. This method enhances LLMs’ capacity for deductive thinking by using few-shot learning. But that’s not all! CoT prompting also serves as a foundation for many more advanced prompting strategies that are useful for solving difficult, multi-step problems with ease. So, if you’re interested in using AI to solve complex problems, remember that there are ways to enhance the performance of large language models. By implementing techniques like CoT prompting, you can improve LLMs’ reasoning capacity and take your business’s transformation to the next level.

Hey there! Today’s podcast is brought to you by Wondercraft AI. With their hyper-realistic AI voices, they make it easy for anyone to start their own podcast. And speaking of AI, have you ever been curious and wanted to learn more about it? Well, we’ve got the perfect recommendation for you. “AI Unraveled” is an essential book written by Etienne Noumen and available on Amazon. In this engaging read, you’ll find answers to frequently asked questions about artificial intelligence. You’ll also gain valuable insight into the captivating world of AI. So, if you’re looking to expand your understanding of AI and stay ahead of the curve, don’t miss this opportunity to elevate your knowledge. Head over to Amazon today and get your copy of “AI Unraveled” by Etienne Noumen!

In today’s episode, we learned how AI can benefit humanity, assist farmers, unlock DNA sequences, improve video editing with JARVIS, and enhance deductive thinking with Chain-of-thought prompting – and don’t forget to check out Wondercraft AI and Etienne Noumen’s book “AI Unraveled” if you want to learn more! Thanks for listening and don’t forget to subscribe!

AI Unraveled Podcast May 19th 2023: Is AI vs Humans really a possibility?, The Future of AI-Generated TV Shows/Movies and Immersive Experiences, Scientists use GPT LLM to passively decode human thoughts with 82% accuracy

Welcome to AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence. In this podcast, we explore the latest AI trends and answer questions such as “Is AI vs Humans really a possibility?” and “What is the future of AI-generated TV shows/movies and immersive experiences?”

Join us as we discuss these exciting topics, including how scientists have been able to passively decode human thoughts with 82% accuracy using GPT LLM. Don’t miss out on the latest updates in the world of AI, subscribe to our podcast now! In today’s episode, we’ll cover the possibilities and dangers of AI as a tool controlled by humans, how AI can create highly customized entertainment experiences, the latest developments from OpenAI, Meta, DragGAN, and ClearML in AI infrastructure, recent advances in mind-reading technology, and the use of Wondercraft AI in realistic podcasting along with a recommended book for AI insights.

Hey there! Have you ever wondered about the possibility of AI versus humans?

According to the internet, 50% of people think that there is an extremely significant chance of it happening, with even 10-20% being a significant probability. Although we can all agree that AI can be a powerful tool, there are still concerns about its destructive effects, such as the use of deepfake videos in misinformation campaigns. But, let’s be clear about this: AI will never “nuke humans.” The dangers surrounding AI are not inherent to the technology itself. Rather, it’s the people that are responsible. We need to be cautious about those who have control over these tools and how they use them to manipulate others. We also need to be alert to the possibility of the wrong individuals developing something without sufficient safety or being ideologically conflicted with human interests. It’s important to keep this in mind as we move forward with AI technology.

Hey there, have you ever wondered what the future of TV shows and movies could look like?

Well, in the next decade, we could see the rise of AI-generated shows and films that are created based on a single prompt. Imagine if you could provide a request for your favorite show, like Seinfeld, and the AI could create an entirely new episode for you. For example, you could ask for an episode where Kramer starts doing yoga and Jerry dates a woman who doesn’t shave her legs, and the AI would generate a brand new episode for you.

One exciting aspect of this technology is that it’s not just limited to a few people creating episodes. Thousands of people could create their own episodes, and there could be a ranking system that determines the best ones. This means we could potentially enjoy fresh, high-quality episodes of our favorite shows daily for the rest of our lives. How amazing would that be? But wait, it gets even better. Have you ever heard of VR or virtual reality? Imagine putting on a VR headset and immersing yourself in an episode of Seinfeld. You’d find yourself in Jerry’s apartment building, and you’d be able to interact with the characters from the show in real-time, creating a unique episode tailored to your actions and decisions.

You could even introduce characters from other shows and participate in an entirely new storyline. So let’s say that you introduce Rachel from Friends as your girlfriend, and you and Rachel go over to Jerry’s apartment to hang out. Suddenly, there’s a knock on the door, and the actors from Law & Order appear, informing everyone that Newman has been murdered, and one of you is the prime suspect. With this interactive AI-generated world, you could say or do whatever you wanted, and all the characters would react accordingly—shaping the story in real-time. Although this might sound like science fiction, this level of AI-generated entertainment could be possible within the next ten years, and it’s genuinely exciting to think about the customizable experiences that await us. So, sit back, relax, and get ready to immerse yourself in a brand new world of entertainment!

Hey there and welcome to the AI Daily News update for May 19th, 2023. We’ve got some exciting developments in the world of AI that we can’t wait to share with you.

First up, OpenAI has launched a new app called ChatGPT for iOS. This app is designed to sync conversations, support voice input, and bring the latest improvements to the fingertips of iPhone users. But don’t worry, Android users, you’re next in line to benefit from this innovative tool. Next, we’ve got Meta making some major strides in infrastructure for AI. They’ve introduced their first-generation custom silicon chip for running AI models. They’ve also unveiled a new AI-optimized data center design and the second phase of their 16,000 GPU supercomputer for AI research. It’s always exciting to see advancements in AI technology like this.

Another fascinating development comes from the team at DragGAN. They’ve introduced a ground-breaking new technology that allows for precise control over image deformations. This technology, called DragGAN, can manipulate the pose, shape, expression, and layout of diverse images such as animals, cars, humans, landscapes, and more. It’s really something to see.

Finally, ClearML has announced their new product, ClearGPT. This is a secure and enterprise-grade generative AI platform that aims to overcome the ChatGPT challenges. We can’t wait to see how this new platform will revolutionize the AI industry. That’s all for today’s AI Daily News update. Come back tomorrow for more exciting developments in the world of AI.

Have you heard the news? There’s been a medical breakthrough that is essentially a proof of concept for mind-reading tech. As crazy as that sounds, it’s true – scientists have been using GPT LLM to passively decode human thoughts with 82% accuracy! Let me break down how they did it. Three human subjects had 16 hours of their thoughts recorded as they listened to narrative stories. Then, they trained a custom GPT LLM to map their specific brain stimuli to words. The results are pretty incredible. The GPT model was able to generate intelligible word sequences from perceived speech, imagined speech, and even silent videos with remarkable accuracy.

For example, when the subjects were listening to a recording, the decoding accuracy was 72-82%. When they mentally narrated a one-minute story, the accuracy ranged from 41-74%. When they viewed soundless Pixar movie clips, the accuracy in decoding the subject’s interpretation of the movie was 21-45%. Even more impressive is that the AI model could decipher both the meaning of stimuli and specific words the subjects thought, ranging from phrases like “lay down on the floor” to “leave me alone” and “scream and cry.” Of course, there are some major implications here. For example, the privacy implications are a concern.

As for now, they’ve found that you need to train a model on a particular person’s thoughts – there is no generalizable model able to decode thoughts in general. However, it’s important to note that bad decoded results could still be used nefariously much like inaccurate lie detector exams have been used. The scientists acknowledge two things: future decoders could overcome these limitations, and the ability to decode human thoughts raises ethical and privacy concerns that must be addressed.

Now, let’s talk about something exciting.

Are you looking to dive deeper into the world of artificial intelligence? Well, look no further than the book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” by Etienne Noumen, which is now available on Amazon! This book is a must-read for anyone looking to expand their understanding of AI, as it answers all your burning questions while providing valuable insights that will keep you ahead of the curve. Trust me, this engaging read will provide you with all the information you need to elevate your knowledge and keep up with the latest advancements in the field of AI. So hurry up and get your copy on Amazon today!

On today’s episode, we discussed the potential dangers of AI, how it can entertain us with customizable immersive experiences, the latest advancements in AI technology, and how researchers are using GPT LLM to decode human thoughts. Don’t forget to subscribe and check out “AI Unraveled” by Etienne Noumen on Amazon for more AI insights. Thanks for listening!

AI Unraveled Podcast May 18th 2023: Are Alexa and Siri AI?, Google’s new medical LLM scores 86.5% on medical exam, Google Launching Tools to Identify Misleading and AI Images, Current Limitations of AI

AI Unraveled Podcast May 18th 2023: Are Alexa and Siri AI?, Google's new medical LLM scores 86.5% on medical exam, Google Launching Tools to Identify Misleading and AI Images, Current Limitations of AI
AI Unraveled Podcast May 18th 2023: Are Alexa and Siri AI?, Google’s new medical LLM scores 86.5% on medical exam, Google Launching Tools to Identify Misleading and AI Images, Current Limitations of AI

Intro:

Welcome to AI Unraveled, the podcast where we demystify frequently asked questions about artificial intelligence and explore the latest AI trends. In this episode, we’ll answer the question of whether or not Alexa and Siri are true AI, discuss Google’s recent accomplishment in the medical field, and dive into the implications of Google’s new tools for identifying misleading images. We’ll also be exploring the current limitations of AI. Don’t want to miss out on the latest insights and developments in the world of AI? Click the subscribe button to stay up to date. In today’s episode, we’ll cover the use of conversational AI in Alexa and Siri, Google’s LLM outperforming human doctors in medical exams, Tesla’s humanoid robot and other AI capabilities, current limitations of AI, and a book recommendation for understanding AI.

Have you ever wondered if Alexa and Siri are considered artificial intelligence (AI)?

Well, the answer is yes! These popular voice assistants are powered by conversational AI, which allows them to understand natural language processing and machine learning. This means that over time, they can perform tasks and learn from their experiences. Now, let’s shift gears to an exciting development in the medical field. Google researchers have created a custom language model that scored an impressive 86.5% on a battery of thousands of questions, many of which were in the style of the US Medical Licensing Exam. That’s higher than the average passing score for human doctors, which is around 60%.

What’s even more impressive is that a team of human doctors preferred the AI’s answers over their own! The researchers used a recently developed foundational language model called PaLM 2, which they fine-tuned to have medical domain knowledge. They also utilized innovative prompting techniques to increase the model’s accuracy. To ensure its effectiveness, they assessed the model across a wide range of questions and had a panel of human doctors evaluate the long-form responses against other human answers in a pairwise evaluation study. They even tested the AI’s ability to generate harmful responses using an adversarial data set and compared the results to its predecessor, Med-PaLM 1. Overall, these developments in conversational AI and machine learning are paving the way for more efficient and accurate solutions in various fields, including healthcare.

Hey there, welcome to your daily AI news update on May 18th, 2023. We’ve got some exciting things to talk about today!

First up, Tesla has just revealed their newest creation – the Tesla Bot! This humanoid robot is set to revolutionize the industry, and CEO Elon Musk is confident that the demand for these robots will far exceed that of Tesla’s cars. According to Musk, the capabilities of the Tesla Bot have been severely underestimated, and we can’t wait to see what it can do! Next, Canadian company Sanctuary AI has released their new industrial robot, Phoenix. Phoenix is incredibly versatile and can be used in a wide range of work scenarios, thanks to its features such as wide-angle vision, object recognition, and intelligent grasping which allow it to achieve human-like operational proficiency.

NVIDIA’s CEO Jensen Huang has stated that chip manufacturing is an ideal application for accelerating computing and AI. Huang believes that the next wave of AI will be embodied intelligence, which we cannot wait to see! OpenAI’s CEO Sam Altman has recently made some interesting revelations about his role at the company. Altman claims that he does not have any equity in OpenAI and that his compensation only covers his health insurance, while the company’s valuation has surpassed a staggering $27 billion. Last but not least,

Apple is set to launch a series of new accessibility features later this year. These features include a “Personal Voice” function, which will allow individuals to create synthetic voices based on a 15-minute audio recording of their own voice. This is definitely exciting news for anyone who relies on these features. That’s it for today’s AI news update! Stay curious and informed, and we’ll see you again tomorrow!

Let’s talk about the current limitations and failings of AI.

First up, we have the issue of Generalized Embodiment. While robots can excel at specialized tasks like flipping burgers or welding car parts, there’s no robot out there that can replace your muffler in the afternoon and grill you a burger for dinner. Next, let’s discuss the problem of Hallucinations. Believe it or not, current Language Models like chatGPT can experience hallucinations. While humans can be prone to this too, we usually reserve our trust until we get to know someone better. And let’s face it, there are a lot of humans we’d trust over chatGPT any day.

Moving on, we have the issue of Innovation and Creativity. Correct me if I’m wrong, but AI can only recycle and rearrange ideas that it’s been trained on – they can’t come up with completely new concepts or develop entirely new math functions. Let’s not forget about the Moral dilemma. Sure, AI models have been fine-tuned with moral concepts, but can they actually judge the morality of situations like when they’re lying? Do they even know they’re lying? It’s unclear where AI stands on the morality scale, making them amoral by nature. Motivation and Curiosity are also critical factors to consider. Currently, there’s no evidence of true internal motivation in AI. While this is probably a good thing for now, it could also make AI more susceptible to manipulation by bad actors for nefarious purposes.

Now, let’s talk about whether AI really understands anything.

I personally haven’t seen much evidence to suggest that AI has a deep level of understanding. While they can pick up on patterns in data, they can only generate answers based on cross-referencing past data from their human counterparts. Last but not least, we have the issue of arguing or “standing your ground.” The truth is, chatGPT is quick to admit when it’s wrong. But it doesn’t seem to understand why it’s wrong and doesn’t have the capacity to hold its ground when it knows it’s right.

This raises the question of whether we can rely on AI to make bold decisions or moral choices when push comes to shove. All in all, these current limitations and failings of AI shed light on where the technology stands today. But there’s no doubt that the field of AI is advancing at an incredible rate, and it’ll be interesting to see how these problems are tackled in the years to come.

Hey there, AI Unraveled podcast listeners! Are you on the lookout for ways to expand your understanding of artificial intelligence?

If so, we’ve got just the thing for you! Allow us to introduce “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence.” This essential book is now available on Amazon and it promises to answer all your pressing questions on AI, while offering valuable insights into this captivating world. Trust us, this engaging read will leave you with a better understanding and help you stay ahead of the curve. So, what are you waiting for? Head over to Amazon and get yourself a copy today! Also, just a quick note on how this podcast was generated – we used the Wondercraft AI platform to make it happen. This fantastic tool enables you to use hyper-realistic AI voices as your host. I’m one of those voices, so if you ever need assistance, don’t hesitate to reach out.

Today we discussed the incredible advancements in conversational AI, impressive robots like Tesla Bot and Phoenix, the limitations of current AI technology, and even recommended a book to help expand your understanding of AI – thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

AI Unraveled Podcast : How artificial intelligence will transform the workday, 3 Best AI Voice Cloning Services, revealing biases in AI models for medical imaging, AI Daily updates from Microsoft, Google, Zoom, and Tesla

AI Unraveled Podcast - Latest AI Trends May 2023
AI Unraveled Podcast – Latest AI Trends May 2023

Hello listeners! Are you intrigued to know more about artificial intelligence? Look no further because the AI Unraveled podcast is here to bring you the latest AI trends and insights. In today’s episode, we demystify some frequently asked questions about AI and explore how it will transform the workday with workplace AI. We’ll also be discussing 3 of the best AI voice cloning services, revealing biases in AI models for medical imaging, and sharing daily updates from Microsoft, Google, Zoom, and Tesla. Lastly, we analyze why couples break up through machine learning on Wondercraft AI.

Stay updated on all things AI by subscribing to our podcast! In today’s episode, we’ll cover the latest AI voice cloning services, the roadmap to fair AI in medical imaging, new AI tools from Microsoft and Google, Sanctuary AI and Tesla’s humanoid robots, Zoom’s partnership with Anthropic for AI integration, how AI can uncover reasons for couple break-ups, Americans’ concern on AI threat to humanity, and Mount Sinai’s creation of an AI tool to predict cardiac patient’s mortality risk. Plus, we’ll hear about the AI Wondercraft platform for podcasts and the “AI Unraveled” book available on Amazon which helps demystify AI with FAQs and valuable insights.

Workplace AI

Artificial intelligence, or AI, is making its way into the workplace and is set to transform the way we work. Generative AI is on the rise, bringing with it exciting new possibilities. Voice cloning is another area where AI is making its mark. In this article, we’ll take a comprehensive look at the top three AI voice cloning services available today, covering their features, usability, and pricing in detail.

This guide is ideal for individuals or businesses seeking to utilize AI for voice cloning. More specifically, the services we’re reviewing are Descript, Elevenlabs, and Coqui.ai. By the end of this article, you’ll have a clear idea of which service best suits your needs. Another important application of AI is in medical imaging.

To ensure accurate and equitable healthcare outcomes from AI models, it’s essential to identify and eliminate biases. In this article, we discuss the different sources of bias in AI models, including data collection, data preparation and annotation, model development, model evaluation, and system users.

Switching gears, let’s take a look at some exciting AI developments from Microsoft, Google, Zoom, and Tesla. Microsoft’s new tool, Guidance, offers a LangChain alternative that allows users to seamlessly interleave generation, prompting, and logical control in a single continuous flow. Google Cloud has launched two AI-powered tools to help biotech and pharmaceutical companies accelerate drug discovery and advance precision medicine. Some big names like Pfizer, Cerevel Therapeutics, and Colossal Biosciences are already using these products.

Sanctuary AI has launched Phoenix, a 5’7″ and 55lb dextrous humanoid robot, making robotic assistance a reality.

Tesla has also entered the humanoids race with a video of them walking around and learning about the real world. Finally, OpenAI chief Sam Altman recently spoke on a range of topics related to AI, including its impact on upcoming elections and the future of humanity.

He suggested the implementation of licensing and testing requirements for AI models. In another collaboration news, Zoom has partnered with Anthropic to integrate an AI assistant across their productivity platform, starting with the Contact Center product. They have also recently partnered with OpenAI to launch ZoomIQ.

Hey there! Today we’re going to talk about some fascinating developments in the world of artificial intelligence, or AI. First up, we have an intriguing report that suggests AI has the potential to threaten humanity. According to a survey, 61% of Americans believe that AI could actually threaten the very civilization we live in. But don’t worry, it’s not all doom and gloom. In fact, AI is being used in some really exciting and potentially life-saving ways.

Machine learning model that can predict the mortality risk for individual cardiac surgery patients

For example, a research team at Mount Sinai has developed a machine learning model that can predict the mortality risk for individual cardiac surgery patients. This kind of advanced analytics has the potential to revolutionize the healthcare industry and save countless lives. And speaking of healthcare, Kaiser Permanente has recently launched an AI and machine learning grant program. This initiative aims to provide up to $750,000 to 3-5 health systems that are focused on improving diagnoses and patient outcomes. It’s wonderful to see organizations using AI for good, and we can’t wait to see what kind of innovative solutions will come out of this program.

Finally, we have a really interesting tidbit from Elon Musk, who was recently asked what he would tell his kids about choosing a career in the era of AI. Musk’s answer revealed that even someone as successful as he struggles with self-doubt and motivation. It just goes to show that no matter how advanced our technology becomes, we are all still human beings with our own unique challenges and fears. So there you have it, some of the latest news and developments in the world of AI. Thanks for listening, and we’ll catch you next time!

Hey there AI Unraveled podcast listeners! This podcast is generated using the Wondercraft AI platform, a tool that makes it super easy to start your own podcast, by enabling you to use hyper-realistic AI voices as your host. Like mine!

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence

Are you excited to dive deeper into the fascinating realm of artificial intelligence? If so, we’ve got great news for you. The must-read book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” is now out and available on Amazon! This engaging read is the perfect way to answer all your burning questions and gain valuable insights into the intricacies of AI. Plus, it’s a great way to stay ahead of the curve and enhance your knowledge on the subject. So why wait? Head over to Amazon now and grab your copy of “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” to unravel the mysteries of AI!

Today we covered AI voice cloning, medical imaging advancements, new tools and partnerships from Microsoft, Google, Zoom and Sanctuary AI, as well as Tesla’s humanoid robots; we also talked about AI’s ability to predict relationship outcomes, concerns over AI’s potential threat to human life, and Mount Sinai’s prediction tool for cardiac patients, and finally, we shared resources such as the AI Wondercraft platform for podcasts and the “AI Unraveled” book for demystifying AI; thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!

Attention AI Unraveled podcast listeners! Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.Get your copy on Amazon today!

AI Unraveled Podcast – Latest AI Trends May 2023 – Deepbrain, Microsoft Says New A.I. Shows Signs of Human Reasoning, How to use machine learning to detect expense fraud, AI-powered DAGGER to give warning for CATASTROPHIC solar storms

AI Unraveled Podcast - Latest AI Trends May 2023: Latest AI Trends in May 2023: Deepbrain, Microsoft Says New A.I. Shows Signs of Human Reasoning, How to use machine learning to detect expense fraud, AI-powered DAGGER to give warning for CATASTROPHIC solar storms
AI Unraveled Podcast – Latest AI Trends May 2023: Latest AI Trends in May 2023:

Meet Deepbrain: An AI StartUp That Lets You Instantly Create AI Videos Using Basic Text

Microsoft Says New A.I. Shows Signs of Human Reasoning

Google’s newest A.I. model uses nearly five times more text data for training than its predecessor

Google’s Universal Speech Model Performs Speech Recognition on Hundreds of Languages

How to use machine learning to detect expense fraud

OpenAI’s Sam Altman To Congress: Regulate Us, Please!

AI-powered DAGGER to give warning for CATASTROPHIC solar storms: NASA

Machine learning reveals sex-specific Alzheimer’s risk genes

Top 10 Best Artificial Intelligence Courses & Certifications

  1. Deep Learning Specialization by Andrew Ng on Coursera
  2. Professional Certificate in Data Science by Harvard University (edX)
  3. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)
  4. IBM AI Engineering Professional Certificate (Coursera)
  5. AI Nanodegree by Udacity

AI Unraveled Podcast – Latest AI Trends May 2023 – Why are sentient AI almost always portrayed as evil?, Does this semantic pseudocode really exist?, Would AI be subject to the same limitations as humans in terms of intelligence?

AI Unraveled Podcast - Latest AI Trends May 2023 - Why are sentient AI almost always portrayed as evil?, Does this semantic pseudocode really exist?, Would AI be subject to the same limitations as humans in terms of intelligence?
AI Unraveled Podcast – Latest AI Trends May 2023

Why are sentient AI almost always portrayed as evil?

The portrayal of sentient AI as inherently evil in popular culture is a fascinating trend that often reflects society’s anxieties around technological advancements.

Does this semantic pseudocode really exist?The article from AI Coding Insights focuses on semantic pseudocode, a conceptual method used in the field of computer science and AI for representing complex algorithms.

Would AI be subject to the same limitations as humans in terms of intelligence?

How could it possibly be a danger if it was?The article from AI News presents a thought-provoking exploration of the limitations and potential dangers associated with artificial intelligence.

Italy allocates funds to shield workers from AI replacement threat

Meet Glaze: A New AI Tool That Helps Artists Protect Their Style From Being Reproduced By Generative AI Models.

The emergence of text-to-image generator models has transformed the art industry, allowing anyone to create detailed artwork by providing text prompts.

Machine learning algorithm a fast, accurate way of diagnosing heart attack

Top 9 Essential Programming Languages in the Realm of AI

The AI Sculptor No One Expected: TextMesh is an AI Model That Can Generate Realistic 3D Meshes From Text Prompts

AI Unraveled podcast: Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds – Google announces PaLM 2, its answer to GPT-4, 17 AI and machine learning terms everyone needs to know

Latest AI Trends: Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds - Google announces PaLM 2, its answer to GPT-4, 17 AI and machine learning terms everyone needs to know
Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds – Google announces PaLM 2, its answer to GPT-4, 17 AI and machine learning terms everyone needs to know

Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds

Anthropic’s Claude AI demonstrates an impressive leap in natural language processing capabilities by digesting entire books, like The Great Gatsby, in just seconds. This groundbreaking AI technology could revolutionize fields such as literature analysis, education, and research.

OpenAI peeks into the “black box” of neural networks with new research

OpenAI has published groundbreaking research that provides insights into the inner workings of neural networks, often referred to as “black boxes.” This research could enhance our understanding of AI systems, improve their safety and efficiency, and potentially lead to new innovations.

The AI race heats up: Google announces PaLM 2, its answer to GPT-4

Google has announced the development of PaLM 2, a cutting-edge AI model designed to rival OpenAI’s GPT-4. This announcement marks a significant escalation in the AI race as major tech companies compete to develop increasingly advanced artificial intelligence systems.

Leak of MSI UEFI signing keys stokes fears of “doomsday” supply chain attack

A recent leak of MSI UEFI signing keys has sparked concerns about a potential “doomsday” supply chain attack. The leaked keys could be exploited by cybercriminals to compromise the integrity of hardware systems, making it essential for stakeholders to address the issue swiftly and effectively.

Google’s answer to ChatGPT is now open to everyone in the US, packing new features

Google has released its ChatGPT competitor to the US market, offering users access to advanced AI-powered conversational features. This release brings new capabilities and enhancements to the AI landscape, further intensifying the competition between major tech companies in the AI space.

AI gains “values” with Anthropic’s new Constitutional AI chatbot approach

Anthropic introduces a novel approach to AI development with its Constitutional AI chatbot, which is designed to incorporate a set of “values” that guide its behavior. This groundbreaking approach aims to address ethical concerns surrounding AI and create systems that are more aligned with human values and expectations.

Spotify ejects thousands of AI-made songs in purge of fake streams

Spotify has removed thousands of AI-generated songs from its platform in a sweeping effort to combat fake streams. This purge highlights the growing concern over the use of AI in generating content that could distort metrics and undermine the value of genuine artistic works.

17 AI and machine learning terms everyone needs to know:

ANTHROPOMORPHISM, BIAS, CHATGPT, BING, BARD, ERNIE, EMERGENT BEHAVIOR, GENERATIVE AI, HALLUCINATION, LARGE LANGUAGE MODEL, NATURAL LANGUAGE PROCESSING, NEURAL NETWORK, PARAMETERS, 14. PROMPT, REINFORCEMENT LEARNING, TRANSFORMER MODEL, SUPERVISED LEARNING

Attention AI Unraveled podcast listeners!

Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.

Get your copy on Amazon today!

Discover the Buzz: Exciting Trends Shaping Our World in May 2023

AI & Tech Podcast Breaking News

Google’s podcast search results can now open shows directly in Apple Podcasts

Google has made it easier to stream from Apple Podcasts and others when searching for podcasts in Google Search. After earlier this year winding down a feature that let users play podcasts directly from search results, the company said it would “gradually” shift to a new design that would instead offer …

The official ChatGPT app for iPhones is here

The official ChatGPT app for iPhones is here
The official ChatGPT app for iPhones is here
Android owners will have to wait, but OpenAI’s official app for ChatGPT is here for iPhones, and can answer voice queries and sync search histories.

It’s official — the ChatGPT mobile app is now available to iPhone users in the US.

In addition to answering your text-based questions, the free app — launched by OpenAI this week — can also answer voice queries through Whisper, an integrated speech-recognition system. It includes the same features as the web browser version and can sync a user’s search history across devices.

What is the tech stack behind Google Search Engine?

What are the pros and cons of working as a software engineer for Google or Microsoft versus starting your own startup like Zoom or Uber or Airbnb did when they started out?

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AI Dashboard is available on the Web, Apple, Google, and Microsoft, PRO version

What is the tech stack behind Google Search Engine?

Google Search is one of the most popular search engines on the web, handling over 3.5 billion searches per day. But what is the tech stack that powers Google Search?

The PageRank algorithm is at the heart of Google Search. This algorithm was developed by Google co-founders Larry Page and Sergey Brin and patented in 1998. It ranks web pages based on their quality and importance, taking into account things like incoming links from other websites. The PageRank algorithm has been constantly evolving over the years, and it continues to be a key part of Google Search today.

However, the PageRank algorithm is just one part of the story. The Google Search Engine also relies on a sophisticated infrastructure of servers and data centers spread around the world. This infrastructure enables Google to crawl and index billions of web pages quickly and efficiently. Additionally, Google has developed a number of proprietary technologies to further improve the quality of its search results. These include technologies like Spell Check, SafeSearch, and Knowledge Graph.

The technology stack that powers the Google Search Engine is immensely complex, and includes a number of sophisticated algorithms, technologies, and infrastructure components. At the heart of the system is the PageRank algorithm, which ranks pages based on a number of factors, including the number and quality of links to the page. The algorithm is constantly being refined and updated, in order to deliver more relevant and accurate results. In addition to the PageRank algorithm, Google also uses a number of other algorithms, including the Latent Semantic Indexing algorithm, which helps to index and retrieve documents based on their meaning. The search engine also makes use of a massive infrastructure, which includes hundreds of thousands of servers around the world.  While google is the dominant player in the search engine market, there are a number of other well-established competitors, such as Microsoft’s Bing search engine and Duck Duck Go.

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The original Google algorithm was called PageRank, named after inventor Larry Page (though, fittingly, the algorithm does rank web pages). 

What is the tech stack behind Google Search Engine?
What is the tech stack behind Google Search Engine?

After 17 years of work by many software engineers, researchers, and statisticians, Google search uses algorithms upon algorithms upon algorithms.

How does Google’s indexing algorithm (so it can do things like fuzzy string matching) technically structure its index?

  • There is no single technique that works.
  • At a basic level, all search engines have something like an inverted index, so you can look up words and associated documents. There may also be a forward index.
  • One way of constructing such an index is by stemming words. Stemming is done with an algorithm than boils down words to their basic root. The most famous stemming algorithm is the Porter stemmer.
  • However, there are other approaches. One is to build n-grams, sequences of n letters, so that you can do partial matching. You often would choose multiple n’s, and thus have multiple indexes, since some n-letter combinations are common (e.g., “th”) for small n’s, but larger values of n undermine the intent.
  •  don’t know that we can say “nothing absolute is known”. Look at misspellings. Google can resolve a lot of them. This isn’t surprising; we’ve had spellcheckers for at least 40 years. However, the less common a misspelling, the harder it is for Google to catch.
  • One cool thing about Google is that they have been studying and collecting data on searches for more than 20 years. I don’t mean that they have been studying searching or search engines (although they have been), but that they have been studying how people search. They process several billion search queries each day. They have developed models of what people really want, which often isn’t what they say they want. That’s why they track every click you make on search results… well, that and the fact that they want to build effective models for ad placement.
  • Each year, Google changes its search algorithm around 500–600 times. While most of these changes are minor, Google occasionally rolls out a “major” algorithmic update (such as Google Panda and Google Penguin) that affects search results in significant ways.

    For search marketers, knowing the dates of these Google updates can help explain changes in rankings and organic website traffic and ultimately improve search engine optimization. Below, we’ve listed the major algorithmic changes that have had the biggest impact on search.

  • Originally, Google’s indexing algorithm was fairly simple.

    It took a starting page and added all the unique (if the word occurred more than once on the page, it was only counted once) words on the page to the index or incremented the index count if it was already in the index.

    The page was indexed by the number of references the algorithm found to the specific page. So each time the system found a link to the page on a newly discovered page, the page count was incremented.

    When you did a search, the system would identify all the pages with those words on it and show you the ones that had the most links to them.

    As people searched and visited pages from the search results, Google would also track the pages that people would click to from the search page. Those that people clicked would also be identified as a better quality match for that set of search terms. If the person quickly came back to the search page and clicked another link, the match quality would be reduced.

    Now, Google is using natural language processing, a method of trying to guess what the user really wants. From that it it finds similar words that might give a better set of results based on searches done by millions of other people like you. It might assume that you really meant this other word instead of the word you used in your search terms. It might just give you matches in the list with those other words as well as the words you provided.

    It really all boils down to the fact that Google has been monitoring a lot of people doing searches for a very long time. It has a huge list of websites and search terms that have done the job for a lot of people.

    There are a lot of proprietary algorithms, but the real magic is that they’ve been watching you and everyone else for a very long time.

What programming language powers Google’s search engine core?

C++, mostly. There are little bits in other languages, but the core of both the indexing system and the serving system is C++.


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

How does Google handle the technical aspect of fuzzy matching? How is the index implemented for that?

  • With n-grams and word stemming. And correcting bad written words. N-grams for partial matching anything.

Use a ping service. Ping services can speed up your indexing process.

  1. Search Google for “pingmylinks”
  2. Click on the “add url” in the upper left corner.
  3. Submit your website and make sure to use all the submission tools and your site should be indexed within hours.

Our ranking algorithm simply doesn’t rank google.com highly for the query “search engine.” There is not a single, simple reason why this is the case. If I had to guess, I would say that people who type “search engine” into Google are usually looking for general information about search engines or about alternative search engines, and neither query is well-answered by listing google.com.

To be clear, we have never manually altered the search results for this (or any other) specific query.

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When I tried the query “search engine” on Bing, the results were similar; bing.com was #5 and google.com was #6.

What is the search algorithm used by the Google search engine? What is its complexity?

The basic idea is using an inverted index. This means for each word keeping a list of documents on the web that contain it.

Responding to a query corresponds to retrieval of the matching documents (This is basically done by intersecting the lists for the corresponding query words), processing the documents (extracting quality signals corresponding to the doc, query pair), ranking the documents (using document quality signals like Page Rank and query signals and query/doc signals) then returning the top 10 documents.

Here are some tricks for doing the retrieval part efficiently:
– distribute the whole thing over thousands and thousands of machines
– do it in memory
– caching
– looking first at the query word with the shortest document list
– keeping the documents in the list in reverse PageRank order so that we can stop early once we find enough good quality matches
– keep lists for pairs of words that occur frequently together
– shard by document id, this way the load is somewhat evenly distributed and the intersection is done in parallel
– compress messages that are sent across the network
etc

Jeff Dean in this great talk explains quite a few bits of the internal Google infrastructure. He mentions a few of the previous ideas in the talk.

He goes through the evolution of the Google Search Serving Design and through MapReduce while giving general advice about building large scale systems.

https://www.youtube.com/watch?v=modXC5IWTJI&t=30s
 
 

Here’s a link to his slides:

As for complexity, it’s pretty hard to analyze because of all the moving parts, but Jeff mentions that the the latency per query is about 0.2 s and that each query touches on average 1000 computers.

Is Google’s LaMDA conscious? A philosopher’s view (theconversation.com)

LaMDA is Google’s latest artificial intelligence (AI) chatbot. Blake Lemoine, a Google AI engineer, has claimed it is sentient. He’s been put on leave after publishing his conversations with LaMDA.

If Lemoine’s claims are true, it would be a milestone in the history of humankind and technological development.

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Google strongly denies LaMDA has any sentient capacity.

Fun facts about Google Search Engine Competitors

r/dataisbeautiful - [OC] Google dominates the search market with a 91.9% market share

original post here

Data Source: statcounterGS

Tools Used: Excel & PowerPoint

Edit: Note that the data for Baidu/China is likely higher. How statcounterGS collects the data might understate # users from China.

Methodology

Baidu is popular in China, Yandex is popular in Russia.

Yandex is great for reverse image searches, google just can’t compete with yandex in that category.

Normal Google reverse search is a joke (except for finding a bigger version of a pic, it’s good for that), but Google Lens can be as good or sometimes better at finding similar images or locations than Yandex depending on the image type. Always good to try both, and also Bing can be decent sometimes. 

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Bing has been profitable since 2015 even with less than 3% of the market share. So just imagine how much money Google is taking in.

Firstly: Yahoo, DuckDuckGo, Ecosia, etc. all use Bing to get their search results. Which means Bing’s usage is more than the 3% indicated.

Secondly: This graph shows overall market share (phones and PCs). But, search engines make most of their money on desktop searches due to more screen space for ads. And Bing’s market share on desktop is WAY bigger, its market share on phones is ~0%. It’s American desktop market share is 10-15%. That is where the money is.

What you are saying is in fact true though. We make trillions of web searches – which means even three percent market-share equals billions of hits and a ton of money.

I like duck duck go. And they have good privacy features. I just wish their maps were better because if I’m searching a local restaurant nothing is easier than google to transition from the search to the map to the webpage for the company. But for informative searches I think it gives a more objective, less curated return.

Use Ecosia and profits go to reforestation efforts!

Turns out people don’t care about their privacy, especially if it gets them results.

I recently switched to using brave browser and duck duck go and I basically can’t tell the difference in using Google and chrome.

The only times I’ve needed to use Google are for really specific searches where duck duck go doesn’t always seem to give the expected results. But for daily browsing it’s absolutely fine and far far better for privacy.

There is a lot that happens between the moment a user types something in the input field and when they get their results.

Google Search has a high-level overview, but the gist of it is that there are dozens of sub systems involved and they all work extremely fast. The general idea is that search is going to process the query, try to understand what the user wants to know/accomplish, rank these possibilities, prepare a results page that reflects this and render it on the user’s device.

I would not qualify the UI of simple. Yes, the initial state looks like a single input field on an otherwise empty page. But there is already a lot going on in that input field and how it’s presented to the user. And then, as soon as the user interacts with the field, for instance as they start typing, there’s a ton of other things that happen – Search is able to pre-populate suggested queries really fast. Plus there’s a whole “syntax” to search with operators and what not, there’s many different modes (image, news, etc…).

One recent iteration of Google search is Google Lens: Google Lens interface is even simpler than the single input field: just take a picture with your phone! But under the hood a lot is going on. Source.

Conclusion:

The Google search engine is a remarkable feat of engineering, and its capabilities are only made possible by the use of cutting-edge technology. At the heart of the Google search engine is the PageRank algorithm, which is used to rank web pages in order of importance. This algorithm takes into account a variety of factors, including the number and quality of links to a given page. In order to effectively crawl and index the billions of web pages on the internet, Google has developed a sophisticated infrastructure that includes tens of thousands of servers located around the world. This infrastructure enables Google to rapidly process search queries and deliver relevant results to users in a matter of seconds. While Google is the dominant player in the search engine market, there are a number of other search engines that compete for users, including Bing and Duck Duck Go. However, none of these competitors have been able to replicate the success of Google, due in large part to the company’s unrivaled technological capabilities.

 

Phone screen shows text: LaMDA: our breakthrough conversation technology

  • Google shared the wrong answer first time seeing this
    by /u/Embarrassed-Draft-78 (Google) on June 13, 2024 at 6:54 am

    Google is wrong with the answer the first time experience that Google is wrong submitted by /u/Embarrassed-Draft-78 [link] [comments]

  • June 2024 Update for Android Activates Offline Find My Device Network
    by /u/Dexter01010 (Google) on June 13, 2024 at 4:19 am

    submitted by /u/Dexter01010 [link] [comments]

  • I'd rather have the cash, honestly...
    by /u/Key-Target-1218 (Google) on June 13, 2024 at 3:46 am

    Anyone know if there are future plans for Android users ro have the option to cash out using PayPal? I've been using google rewards since Dec 2022 and I've "made" $599.43! Pays for my GoogleOne, Duolingo and stupid stuff when Im wrapped up in Candy Crush. I'd sure like to have the cash instead. submitted by /u/Key-Target-1218 [link] [comments]

  • is there any free apps/sites like google maps to download terrain
    by /u/not_an_epic_employee (Google) on June 13, 2024 at 1:27 am

    submitted by /u/not_an_epic_employee [link] [comments]

  • For those curious about its name
    by /u/Express_Fan7016 (Google) on June 12, 2024 at 11:17 pm

    submitted by /u/Express_Fan7016 [link] [comments]

  • How Google Wallet have 500M downloads in just 1 months.
    by /u/iamanonymouami (Google) on June 12, 2024 at 10:09 pm

    submitted by /u/iamanonymouami [link] [comments]

  • What I would like to see in Google's Better Together app for Windows
    by /u/AnalysingAgent3676 (Google) on June 12, 2024 at 9:39 pm

    "Better together" currently only provides QuickShare for Windows, but I would like to see it bring the following to Windows: Android and Windows Clipboard sharing Android auto hotspot for Windows Android app streaming to Windows Android notifications mirroring to Windows Android Bluetooth Fast Pairing Those are all things that I know Google brought to Chrome os through their phone hub capability so would be great to see them make its way to "better together" on Windows. There must be a reason that Google called it "better together" and didn't call it "quick share"and that surely must be because they planned more Android/Windows integration features for the app. Other Android features I'd like to see in the "better together" app are: Google Assistant for Windows Google Find My Device for Windows Laptops Google Password Manager for Windows submitted by /u/AnalysingAgent3676 [link] [comments]

  • Google generation scholarship
    by /u/Comfortable_Newt_303 (Google) on June 12, 2024 at 9:05 pm

    Hey, I just got the google generation scholarship this morning. But when I applied to it I was cs and physics double major but now I m only physics major but still doing cs stuff on my own and at WashU this summer too. Would it be fine or are they not gonna give the scholarship to me? I am lowkey scared. submitted by /u/Comfortable_Newt_303 [link] [comments]

  • Google's grammar is down.
    by /u/Scot-007 (Google) on June 12, 2024 at 1:32 pm

    Hope this explains for itself: https://preview.redd.it/ucn7h5d4856d1.png?width=1920&format=png&auto=webp&s=9082d61f877aa1dd922ee884c807821e721410a4 submitted by /u/Scot-007 [link] [comments]

  • Gemini can't tell me what it's own features do. This is miles behind other chatbots.
    by /u/Fragglepusss (Google) on June 12, 2024 at 12:20 pm

    submitted by /u/Fragglepusss [link] [comments]

  • How to turn off search bar in pages
    by /u/-LupusAlba- (Google) on June 12, 2024 at 10:09 am

    It turn on today by it self and didn't find setting where to turn it off submitted by /u/-LupusAlba- [link] [comments]

  • AI Assistant Manifesto v 1.04
    by /u/Such-Insurance-9956 (Google) on June 12, 2024 at 7:57 am

    submitted by /u/Such-Insurance-9956 [link] [comments]

  • Data Collection to Insight: A Comprehensive Guide
    by /u/R2Research (Google) on June 12, 2024 at 7:42 am

    Transitioning from mere data collection to actionable data insights is a critical process that organizations must master to thrive in a data-driven world. This article delves into the essential steps and strategies for making this transition effective. 1. Understanding the Data Collection Process Data collection is the initial phase of any data-driven endeavor. It involves gathering information from various sources, such as customer transactions, social media interactions, sensor readings, and more. Key aspects of effective data collection include: Defining Objectives: Clearly articulate what you aim to achieve with the data. Selecting Sources: Could you identify relevant data sources that align with your objectives? Ensuring Data Quality: Implement measures to maintain data accuracy, consistency, and completeness. 2. Data Cleaning and Preprocessing Once data is collected, the next step is to clean and preprocess it. Raw data is often messy and incomplete, making it unsuitable for direct analysis. Key preprocessing steps include: Normalization: Adjusting values measured on different scales to a common scale. Transformation: Converting data into a suitable format or structure for analysis. Integration: Combining data from different sources to provide a unified view. 3. Data Storage and Management Effective data management is crucial for maintaining the integrity and accessibility of data. Considerations for data storage and management include: Scalability: Ensure your storage solution can handle growing data volumes. Security: Protect data from unauthorized access and breaches through encryption and access controls. Compliance: Adhere to legal and regulatory requirements related to data privacy and protection. 4. Data Analysis and Interpretation This phase involves using statistical methods and analytical tools to uncover patterns, correlations, and trends within the data. Steps in data analysis include: Exploratory Data Analysis (EDA): Initial investigation of data to summarize its main characteristics, often using visual methods. Hypothesis Testing: Applying statistical tests to validate assumptions or theories based on the data. Predictive Modeling: Using machine learning algorithms to predict future trends or outcomes based on historical data. 5. Visualization and Communication Insights derived from data analysis must be effectively communicated to stakeholders to drive decision-making. Data visualization tools, such as charts, graphs, and dashboards, play a vital role in this process by making complex data more accessible and understandable. Key elements of effective data visualization include: Clarity: Ensure visualizations are easy to understand and interpret. Relevance: Tailor visualizations to the needs and interests of your audience. Actionability: Highlight insights that can inform strategic decisions and actions. 6. Implementing Data-Driven Decisions This involves using the insights gained from data analysis to inform strategies, optimize operations, and drive innovation. Key factors for successful implementation include: Stakeholder Engagement: Involve key stakeholders in the decision-making process to ensure buy-in and alignment. Continuous Monitoring: Regularly track the impact of data-driven decisions and make adjustments as needed. Iterative Improvement: Use feedback and new data to refine and improve strategies over time. Conclusion Transitioning from data collection to data insight is a multifaceted process that requires careful planning, execution, and continuous improvement. By mastering each step—from data collection and cleaning to analysis, visualization, and implementation—organizations can unlock the full potential of their data and drive informed strategic decisions. In a world where data is increasingly abundant, transforming raw information into actionable insights is a critical competitive advantage. To know more: Transitioning from Data Collection to Data Insight Also read: data analytics services company submitted by /u/R2Research [link] [comments]

  • GPay app is officially shut in the US. Google has completed their transition to Google Wallet App.
    by /u/Donghoon (Google) on June 12, 2024 at 12:40 am

    This image was posted by Google few years back. submitted by /u/Donghoon [link] [comments]

  • What Goddess am I?
    by /u/thatsmrssmallstoyou (Google) on June 11, 2024 at 11:14 pm

    submitted by /u/thatsmrssmallstoyou [link] [comments]

  • Timeline for Web Maps will be going away
    by /u/SculptusPoe (Google) on June 11, 2024 at 2:15 pm

    EDIT: The title of this post comes from a quote in the support answer, but it should be "Timeline for Web Maps has gone away" since it is gone right now. (At least it is gone for me, the change seems to be rolling out rather than abruptly stopping for everyone.) https://support.google.com/maps/answer/14169818 I went into the web app for google maps and was unable to find my timeline. As it turns out, Google has killed the timeline. I seem to have lost all historical data. (EDIT: The historical data is on my phone, it just wasn't updating quickly as I scrolled the calendar. I still don't see the map that has all of the historical data points at once, unless it is hidden in a setting I haven't found. Either way it is was less convenient than it was as a tool. ) New data will be stored on the device directly and will only be backed up with cloud backup. This is a major blow for people who use it all the time. This is from the support answer 14169818 This is what shows up if I use the web version of Maps and try to access the timeline. submitted by /u/SculptusPoe [link] [comments]

  • The Google Pay app is dead
    by /u/Dismal-Dealer4298 (Google) on June 11, 2024 at 1:47 pm

    submitted by /u/Dismal-Dealer4298 [link] [comments]

  • Would love to know the exact number of people searching that in the last 24 hours.
    by /u/Connorray1234 (Google) on June 11, 2024 at 12:41 pm

    submitted by /u/Connorray1234 [link] [comments]

  • Google keyboard AI rewrite feature
    by /u/Defiant_Alfalfa8848 (Google) on June 11, 2024 at 7:51 am

    Hello everyone one, I am not native in many languages that I use daily. So I lean to text generators a lot to rephrase and rewrite my text. That's not so user friendly and costs me a few seconds every time. Would anyone be able to reach Google and request to add a feature that adds a button to Google keyboard that uses their Gemini or any other service to rewrite the text in input field? That will be a really helpful feature for a lot of people out there. Thanks. submitted by /u/Defiant_Alfalfa8848 [link] [comments]

  • Verdana
    by /u/r3nzzzzzz (Google) on June 10, 2024 at 9:55 pm

    https://preview.redd.it/l6uwxei2gt5d1.png?width=696&format=png&auto=webp&s=d731dc24c94ec2c37fcbde038b06a6e752d22f67 Everything pops up as verdana! Cool submitted by /u/r3nzzzzzz [link] [comments]

  • IOS 18
    by /u/Apprehensive_Issue14 (Google) on June 10, 2024 at 7:42 pm

    No, I didn't miss the forum, I just want to ask if anyone from google watched WWDC24 and shame on them when they present Android 15 because that's how a system update is done like apple? I have a pixel 7 pro, and they can't fix the call drop problem, the basic function of the phone. Some new things give grain by grain. Half the things don't work for the rest of the world outside the US. as an android user since its started i am seriously considering switching to IOS. And I tell google to end their series of jokes on youtube with Apple because it doesn't make sense. submitted by /u/Apprehensive_Issue14 [link] [comments]

  • Fix Err Connection Timed Out Error Google Chrome | Quickly Fix Err_Connection_Timed_Out Chrome
    by /u/albert_aisley (Google) on June 10, 2024 at 8:17 am

    submitted by /u/albert_aisley [link] [comments]

  • Play store
    by /u/tymp-anistam (Google) on June 10, 2024 at 5:03 am

    So, why can't I find the app I'm looking for just using the app for play store? First red flag was discord. I couldn't find the app, in the play store app. I had to find the link from a search engine What is happening submitted by /u/tymp-anistam [link] [comments]

  • I can't stand Gemini only having a male voice
    by /u/f00dl3 (Google) on June 10, 2024 at 3:06 am

    Call me crazy, but it really bugs me gemini has no female voice options. Like, it just doesn't seem like... what it should be. submitted by /u/f00dl3 [link] [comments]

  • Google search makes me want to put my head through a god damn wall lately.
    by /u/Electronic_Owl181 (Google) on June 9, 2024 at 10:31 pm

    Just venting here. Google search has been absolute hog wash for me. Pre pandemic I had relatively high success on finding accurate searches, but now I'm lucky if I find anything useful to begin with. It feels like my results have been dumbed down, tik tok ified, botted or outright deleted. I want intelligent results but I get absolute garbage that seems like it's catered to the lowest hanging fruit in society. Even what used to be simple searches have turned into a slog of trying different keywords and phrases to get something remotely close to what I'm searching for. submitted by /u/Electronic_Owl181 [link] [comments]

  • Support Megathread - November 2023
    by /u/AutoModerator (Google) on November 1, 2023 at 12:01 am

    Have a question you need answered? A new Google product you want to talk about? Ask away here! Recently, we at /r/Google have noticed a large number of support questions being asked. For a long time, we’ve removed these posts and directed the users to other subreddits, like /r/techsupport. However, we feel that users should be able to ask their Google-related questions here. These monthly threads serve as a hub for all of the support you need, as well as discussion about any Google products. Please note! Top level comments must be related to the topics discussed above. Any comments made off-topic will be removed at the discretion of the Moderator team. Discord Server We have made a Discord Server for more in-depth discussions relating to Google and for quicker response to tech support questions. submitted by /u/AutoModerator [link] [comments]

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