Can LLMs Make a True Cognitive Leap?

elonmusk · x · 2026-07-13

This thread discusses a core question: whether LLMs/AI can achieve a genuine "leapfrog discovery".

Drawing an analogy to AlphaGo, the perspective suggests that a seemingly massive search space doesn't mean it's uncomputable; with the right sampling/search methods, many problems become tractable.
It further frames physics and math as forms of "compression," arguing that scientific discovery might not be a sudden jump, but rather a reorganization and compression of existing laws.
Using Einstein as an example, it notes that major theoretical breakthroughs are often built on prolonged understanding of specific problems, interaction with peers, and continuous accumulation, rather than appearing out of thin air.

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