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PERSON DIRECTORY

Karl Friston

Karl Friston appears in 1 indexed conversation across Machine Learning Street Talk. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.

1 EPISODE1 SHOW
1 episode
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Machine Learning Street TalkEN · 82 min

Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

Tim ScarfeKeithKarl Friston

Friston’s Goldilocks principle places intelligence between randomness at tiny scales and complexity-erasing averaging at planetary or astronomical scales, while larger organizations require recursive structure and operate “on the edge of chaos.”Machine consciousness is possible in principle but may require embodiment, counterfactual breadth, temporal depth and substrate-dependent computation, directing attention toward processing-in-memory, memristors and neuromorphic photonics while leaving structural learning and causal-organization selection unresolved.