Wednesday, September 10, 2025
All the Bits Fit to Print
A mathematical demonstration of AI learning limitations
A recent proof claims that creating human-level cognition in AI is computationally intractable, but some argue the assumptions behind this are too restrictive and may not hold.
Why it matters: If true, the proof challenges the feasibility of Artificial General Intelligence (AGI) based on current computational models.
The big picture: The argument hinges on whether human cognition exceeds what Turing-computable systems can replicate, a long-debated question in AI and cognitive science.
The other side: Critics note humans naturally create human-level cognition, suggesting AGI might be achievable despite the proof's claims.
Commenters say: Many emphasize that the proof’s premises limit its conclusions, arguing practical, imperfect human-like AI remains valuable and achievable.