Grady Booch: model internals are cave shadows, not grounded reality
Grady_Booch · x · 2026-09-23
Grady Booch argues two AI communities talk past each other: the Bender/Gebru/McMillan-Major/Mitchell claim holds that internal structures in models aren't grounded in perception/action, only in patterns of linguistic forms; what Pierre and Nat discuss are real compressed latent structures — but via Plato's cave, they're flickering shadows: imprecise patterns not grounded in reality. Transformers remain next-token predictors.
Related event: OpenAI's Navier-Stokes Proof Ignites Fierce Debate in Math and AI Circles(20 posts)→
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