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AI’s promise and peril in cancer research; Tesla’s $300M AI cluster is going live today; OpenAI launches ChatGPT Enterprise, the most powerful ChatGPT version yet; Usage of ChatGPT among Americans rises, but only slightly; IBM’s new analog AI chip challenges Nvidia; AI’s promise and peril in cancer research; Google’s new AI will be able to go to meetings and take notes for you, Google’s DeepMind Unveils Invisible Watermark to Spot AI-Generated Images; Live object recognition system using Kinesis and SageMaker; Daily AI Update News from Tesla, OpenAI, Microsoft, DoorDash, Uber, Yahoo, and Quora.
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends.
Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover AI’s promise in cancer research and the importance of human consultation, OpenAI’s launch of ChatGPT Enterprise with enhanced security features, Tesla’s investment in AI with the launch of their AI cluster and supercomputer, gradual AI adoption and job replacement concerns among Americans, IBM’s creation of an energy-efficient AI chip to rival Nvidia, Google Meet’s new AI for note-taking and attending meetings, the development of invisible watermarks for AI-generated images by DeepMind and other tech giants, a list of 25 movies exploring AI, various AI-related updates from Microsoft, DoorDash, Uber, Yahoo Mail, and Poe by Quora, and finally, a discount code and book recommendation for starting a podcast or learning about AI.
AI’s promise and peril in cancer research:
Let’s talk about AI’s role in cancer research. Recently, a UK-based biotech startup called Etcembly made waves by using generative AI to create a groundbreaking immunotherapy for hard-to-treat cancers. This breakthrough highlights the immense potential AI holds for medical advancements.
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Of course, it’s important to consider the risks of relying solely on AI in healthcare. A study has uncovered some troubling findings. It turns out that AI-generated cancer treatment plans, like those developed with ChatGPT, contained factual errors and even contradictory information. This is a clear example of the possible dangers that can arise when we solely rely on AI without proper scrutiny.
While AI-powered tools do hold great promise, it’s crucial to subject them to rigorous validation and ongoing human consultation. AI should not be viewed as a replacement for human expertise, but rather as a tool to augment it. Skepticism is key when it comes to integrating AI into clinical practices.
By maintaining a healthy level of doubt and ensuring that human professionals are involved at every step, we can harness the potential of AI while mitigating the risks. This approach will help us avoid dangerous missteps in the field of healthcare and continue to push the boundaries of cancer research in a safe and effective manner.
OpenAI has just launched ChatGPT Enterprise, and let me tell you, it’s the most powerful version of ChatGPT yet! This new version is packed with some really cool features that are perfect for large-scale deployments in organizations.
One of the great things about ChatGPT Enterprise is that it provides enterprise-grade security and privacy, so you don’t have to worry about any sensitive information being compromised. This is especially important for big companies that may have banned ChatGPT in the past due to privacy concerns, like Apple, Amazon, Citigroup, and more.
But that’s not all, folks! ChatGPT Enterprise also comes with unlimited higher-speed GPT-4 access. That means faster processing and better performance when dealing with longer inputs. And if you’re into data analysis, you’ll be thrilled to know that ChatGPT Enterprise has advanced capabilities in that area too.
OpenAI isn’t stopping there, though. They have even more features in the works that they’ll be launching soon. So, it looks like the future of AI in the business world is looking brighter than ever. With ChatGPT Enterprise, we might just see widespread adoption of AI in organizations across the globe. Exciting times ahead!
So, guess what? Tesla’s highly-anticipated supercomputer is finally going live today!
This powerful machine is equipped with a whopping 10,000 Nvidia H100 compute GPUs, making it one of the most impressive systems out there. And let’s face it, NVIDIA is having a hard time keeping up with the demand for these GPUs, which is why Tesla is investing a staggering $1 billion to develop its very own supercomputer called Dojo.
Now, here’s the interesting part. Dojo is not just any ordinary supercomputer. It’s built on Tesla’s hyper-optimized custom-designed chip, taking things to a whole new level. And guess what? Tesla is activating Dojo at the same time as this launch. Want a sneak peek? Take a look at Tesla’s internal forecast for the compute power of Dojo. It’s mind-blowing!
But why is this all so important? Well, Elon Musk himself recently spilled the beans that Tesla is planning to spend over $2 billion on AI training in 2023. And they’re even hiring some top-notch AI engineers. With this move, Tesla gains unbeatable compute power and shows its commitment to tackling those computational bottlenecks in the world of AI. This could potentially give them a major advantage over their competitors. Who knows, Elon might just be the next big thing in the world of AI. What do you think about that?
According to a recent survey conducted by Pew Research Center, the usage of ChatGPT among Americans has seen a slight increase.
The survey reveals that 18% of U.S. adults have tried using ChatGPT at some point. Among those who are aware of the tool and employed, 16% have used it for work-related tasks.
These statistics are consistent with a previous survey conducted in March, which showed that 14% of U.S. adults had given ChatGPT a try. Additionally, about one in ten working adults who had heard of ChatGPT used it for work purposes.
While there is evidence of increased adoption of ChatGPT, it is important to note that this adoption is still relatively low in the broader context of AI usage today. Only a small percentage of individuals believe that ChatGPT will have a significant impact on their job.
What does this mean?
These findings suggest that the penetration of AI, including generative AI tools like ChatGPT, is happening gradually. It is clear that there is more work to be done in terms of educating and familiarizing the workforce with the benefits and implications of such AI technologies. Considering the lingering concerns and uncertainties surrounding ChatGPT’s capabilities, it may be premature to start worrying about AI replacing jobs at this stage.
So, here’s the deal. IBM just came out with a brand new analog AI chip that’s making some serious waves in the tech world.
This bad boy is up to 14 times more energy-efficient than the typical digital chips we’re used to seeing. And let me tell you, that’s a game-changer when it comes to power-hungry AI applications.
What makes this analog chip so cool is its ability to manipulate analog signals. It’s like having a mini human brain inside your computer. This could potentially give Nvidia a run for their money in the AI hardware game. Nvidia has been the top dog in this space for quite some time, but IBM’s new chip might just shake things up.
To prove its worth, IBM put together a prototype of the chip. And boy, did it deliver! The chip showed some serious energy efficiency gains and it handled its tasks like a champ. It encoded millions of memory devices and modeled parameters, all while performing computations directly within memory. Impressive, right?
It’s still early days for this analog AI chip, but it’s definitely one to keep an eye on. Who knows, maybe it’ll revolutionize the world of AI hardware as we know it. Only time will tell!
Hey there! Have you heard the latest news about Google Meet? They’re rolling out some awesome new AI features that’ll make your virtual meetings a breeze.
One of the coolest things they’re introducing is AI-powered note-taking. Now, instead of scrambling to jot down every detail from a meeting, Google’s Duet AI can do it for you in real-time. All you have to do is click on “take notes for me,” and it’ll summarize the meeting and list any action items. And say you’re running late to a meeting, no worries! Duet AI will provide a mid-meeting summary to help you catch up in a snap.
But wait, there’s more! Google Meet is also giving you the option to let Duet AI actually “attend” a meeting for you. Just click on the “attend for me” button in the meeting invite, and Google will automatically generate text based on your talking points. This text will be visible to everyone else in the meeting, so you won’t miss out on any important discussions. It’s especially handy if you’ve accidentally double-booked yourself or have to cancel a meeting last-minute.
So, if you’re tired of frantically scribbling notes and stressing about missing key details, Google Meet’s new AI features are here to save the day. Give ’em a try and see how they can make your virtual meetings more efficient and flexible. Happy meeting!
Google’s AI unit, DeepMind, is tackling the challenge of differentiating between authentic and AI-generated images by developing an imperceptible watermark called SynthID.
This watermark, which is invisible to the human eye but detectable by computers, aims to aid in the verification of images. DeepMind’s image generator, Imagen, will apply this hidden watermark to AI-generated images created using the tool.
The watermark is designed to be subtly and subtly enough that humans wouldn’t notice any changes on the images. However, DeepMind’s software can still detect an AI-generated image even after cropping or editing. The watermark is unaffected by changes in colors, contrast, or size.
Despite DeepMind’s efforts, intense image manipulation could potentially compromise the watermark. This is a reminder that technology is not completely foolproof. Claire Leibowicz from the Partnership on AI emphasizes the need for a standard approach to AI-generated image identification, as different methods adopted by various firms add complexity to tagging AI-content.
It’s worth noting that other tech giants like Microsoft and Amazon have also pledged to watermark AI content in response to calls for transparency over AI-generated works.
On a related note, computer vision plays a powerful role in facial recognition and object recognition.
Deep Learning models enable systems like the one seen in the Marvel movie Avengers, where S.H.I.E.L.D. can identify Loki from any video feed. This recognition has nothing to do with the CCTV camera itself but rather the capabilities of computer vision.
Hey there! So, are you a fan of movies that delve into the fascinating concept of artificial intelligence? Well, get ready because I’ve got a list of 25 of the best AI movies from 1968 all the way to 2023. Trust me, there are some real gems in here.
Let’s start with the classics. “2001: A Space Odyssey” in 1968 was ahead of its time, exploring the relationship between humans and AI. Then we have “Westworld” in 1973, where robots at a futuristic theme park start malfunctioning. Fast forward to 1982 with “Blade Runner,” a film noir masterpiece set in a dystopian future where AI beings called replicants exist.
Of course, we can’t forget the iconic “Terminator” in 1984, where an AI network named Skynet tries to wipe out humanity. On a lighter note, “Short Circuit” in 1986 shows us a lovable AI robot named Johnny 5 discovering human emotions.
Moving on to more recent films, “Her” in 2013 tackles the complex topic of human-AI relationships and the emotional connections we can form. In “Ex Machina” from 2014, an AI named Ava tests the boundaries of consciousness and manipulation.
And guess what? We have some exciting films coming out in the near future too. Keep an eye out for “M3GAN,” “Brian and Charles,” and “Jung E,” set to be released in 2022 and 2023. These movies promise to keep us on the edge of our seats with their unique takes on AI.
So there you have it, a comprehensive list of 25 movies that explore the mind-boggling world of artificial intelligence. Whether you’ve seen them all or just a few, these films are sure to spark your imagination and leave you contemplating the future of AI. Happy watching!
So, let’s talk about what else is happening in the world of AI.
Microsoft is doing some interesting stuff. They are infusing AI with human-like reasoning through something they call the “Algorithm of Thoughts”. This technique helps the AI model solve problems faster and more efficiently.
DoorDash, the food delivery service, has added an AI-powered voice ordering system. Now, when you call to place an order, an AI will answer and even provide you with recommendations. That’s some next-level service, right?
Uber is also getting in on the AI action. They are working on an AI chatbot for their food delivery app. This chatbot will not only help customers place orders more quickly, but it will also offer recommendations. It’s like having your own personal food concierge!
Yahoo Mail is getting smarter too. They have introduced new AI-powered features, including a cool tool called the ‘Shopping Saver’. This tool helps you find the best deals when shopping online. Who doesn’t love saving money?
And let’s not forget about OpenAI. They recently launched ChatGPT Enterprise, their most powerful version yet. It’s got enhanced security and privacy, features for large-scale deployments, and even faster processing of longer inputs. They’re really stepping up their game.
Lastly, there’s Poe by Quora. It’s like a one-stop-shop for all your AI chatbot needs. They’ve made some updates recently to make it even better.
So, as you can see, AI is making its way into various industries and applications. It’s an exciting time to be alive!
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Remember, staying ahead in the world of AI requires continuous learning, and “AI Unraveled” is the ultimate guide to help you on your journey. So, make sure to check it out and uncover the mysteries of artificial intelligence. Happy reading, folks!
In today’s episode, we explored the promise of AI in cancer research, the latest advancements in AI technology from OpenAI and Tesla, the gradual adoption of AI in the workplace, IBM’s new energy-efficient AI chip, Google Meet’s AI-powered features, the development of invisible watermarks for transparent AI-generated images, a list of top AI movies, and updates from Microsoft, DoorDash, Uber, Yahoo Mail, Quora, and Tesla. Thanks for listening to today’s episode, I’ll see you guys at the next one and don’t forget to subscribe!
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List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
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- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
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- The Little Schemer
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- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
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- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
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