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Maybe Intelligence Ain't All That

Summary

A discussion on the limitations of intelligence in AI, highlighting that deep learning can model complex systems like protein folding, but real-world interaction remains bottlenecked by robotics.

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Maybe Intelligence Ain't All That
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Clifford Sosin

@CliffordSosin

Maybe Intelligence Ain't All That

9:36 PM · Jul 18, 20262.2MViews

Aleksey Skryl

@ssskryl

Jul 19

Deep learning has shown that many systems we thought were effectively unsimulatable on classical computers can still be modeled accurately, even when we cannot explicitly derive the relevant rules from their microscopic physics.

Protein folding is a good example. In principle, a

15K

Artem

@takeoff_is_here

Jul 18

Real-world interaction is bottlenecked by robotics. We're undergoing an explosion in representation space, not in physical reality space.

Physical reality space explosion will happen soon, bounded by physics. The explosion in representation space accellerates and enables that.

10K

Tenobrus

@tenobrus

Jul 19

@pangram slop?

2.4K

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Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • Deep learning can accurately model systems thought unsimulatable, such as protein folding.
  • Real-world AI interaction is limited by robotics, not representation learning.
  • Physical reality explosion is expected soon, enabled by advances in representation space.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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