Can ChatGPT Truly Reason? Terry Sejnowski Clears the Confusion

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win a meteorite Can AI tools like ChatGPT actually "think," or is
it just really good at mimicking human conversation? How much of
what AI spits out is a reflection of our own ideas and intentions?
And where's all this tech headed in the future? Today, I’m joined
by Terry Sejnowski, a renowned computational neuroscientist and
pioneer in AI and deep learning. Based at the Salk Institute for
Biological Studies and the University of California, San Diego, he
bridges neuroscience and AI to explore how biological brains and
artificial systems learn and process information.  Terry is
also the co-creator of the Boltzmann Machine, a game-changing
algorithm that has shaped today’s​​ AI and is a foundation for
modern neural networks. He has also written some incredible books,
including The Deep Learning Revolution” and “ChatGPT and the Future
of AI.  In our conversation, we discuss the current state of
AI, what’s next, the ins and outs of prompt engineering, the mirror
hypothesis (how AI reflects us), its impact on productivity, and
the ethical challenges we must tackle. Tune in to discover the
truth about AI! — Key Takeaways:  00:00 Intro 00:36 Judging a
book by its cover  07:05 The impact of AI on human
capabilities 12:32 Einstein's happiest thought and can AI
think?  16:51 Can AI come up with something novel?  24:20
The role of learning and neural networks in AI  32:37 The
future of AI and its potential impact 46:43 The mirroring
effect  50:52 Practical applications of AI  54:00 Outro —
Additional resources:  ️ Learn more about Terry Sejnowski:
ChatGPT and the Future of AI: https://a.co/d/cZnuZbs  ️ Follow
me on your fav platforms: ️ Twitter:
https://twitter.com/DrBrianKeating  YouTube:
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