Meta’s Chief AI Scientist Yann LeCun: The Path Toward Human-Level Intelligence in AI [Ep. 473]

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win a meteorite What are the current limitations of AI? What
advancements do we need to achieve human-like intelligence? And how
can we develop AI safely to align with our values?  Here today
to offer us an astounding look behind the scenes of AI development
is Meta’s chief AI scientist, Yann LeCun! Yann is a pioneer in AI
and a Turing Award winner who has been at the forefront of major
breakthroughs in machine learning and neural networks. As the
architect behind transformative AI technologies, Yann joins us to
demystify the path toward human-level intelligence and the
challenges that lie ahead. He also introduces the Joint Embedding
Predictive Architecture (JEPA), a potential game-changer for
enabling AI to model and predict complex real-world scenarios. Tune
in for a look into the future of AI! — Key Takeaways: 
00:00:00 Intro 00:04:11 Is AI barely as smart as a cat? 00:08:50
Joint-Embedding Predictive Architecture (JEPA)  00:30:25
Comparing self-supervised learning and dark matter  00:39:23
AGI and human-level intelligence  00:51:50 Preventing loss of
control over powerful AI 01:02:45 Future of AI and education 
01:10:56 What was Yann wrong about? 01:12:14 Outro  Additional
resources:  ️ Learn more about Yann LeCun: Website:
https://yann.lecun.com/  ️ Twitter:
https://x.com/ylecun   ️ Follow me on your fav platforms:
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