Deep Learning: The Unlikely Success Story You Need to Know

Good Morning AI Runners

Here's what we've got for you today:

• Deep Learning: The Unlikely Success Story You Need to Know

• Why ChatGPT is Like a Well-Engineered Wheel (But Not a Revolutionary One)

Deep Learning: The Unlikely Success Story You Need to Know

You know how sometimes scientists study something that seems all fancy and impractical, but it never really goes anywhere? Well, the history of deep learning is definitely not one of those cases.

A small group of researchers, including Yoshua Bengio, Geoff Hinton, and Yann LeCun, have been plugging away at deep learning for over 25 years and it's paid off big time.

They've revolutionized the field and had a major impact on society. And now, all their hard work and perseverance has been captured in a book: "Understanding Deep Learning" by Simon J.D. Prince To be published by MIT Press.

It is the perfect read for those who want to delve into the ideas behind deep learning and not just the practical coding aspects.

If you want to TRULY understand what makes these researchers tick and how they changed the game, download the book from the GitHub link below (18 chapters) and let's add it to the weekend's reading list (if you have one).

Why ChatGPT is Like a Well-Engineered Wheel (But Not a Revolutionary One)

We've all heard the buzz about OpenAI's ChatGPT and its ability to generate natural-language utterances in response to prompts. But before you start thinking it's the next big thing in AI, listen to what Meta's chief AI scientist, Yann LeCun, has to say about it.

In a recent Zoom meeting with press and executives, LeCun stated that ChatGPT is "not particularly innovative" and "nothing revolutionary." He went on to say that the same techniques used in ChatGPT are being used and the same kind of work is happening at many other research labs.

But why haven't we seen similar programs from companies like Meta or Google? LeCun explains that "Google and Meta both have a lot to lose by putting out systems that make stuff up." So, it's not that ChatGPT is the only game in town, it's just that the other players are keeping a low profile.

LeCun also pointed out that the underlying techniques used in ChatGPT, like Transformer architectures and self-supervised learning, have been around for a while and have been developed by many parties. Even the technique of reinforcement learning through human feedback, which is used to improve the program, was pioneered by Google's DeepMind unit, not OpenAI.

While ChatGPT may seem revolutionary to the public, LeCun says it's more of a case of decent engineering rather than a scientific breakthrough.

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That's it from RunTheAI for today.

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