sama Endorses Goodfire Essay Claiming Neural Networks Are Already Clean

sama · x · 2026-10-17

Sam Altman publicly praised Nick Cammarata's 65-minute Goodfire research essay "Neural Networks Are Already Clean." Cammarata, who co-authored early mechanistic interpretability work at OpenAI and once found only 2% of neurons legible, now argues the classic polysemanticity/superposition evidence was misread — mostly a fixable motif he calls "recursive generalization." After months of agentic-scale study, he claims the vast majority of neurons and circuits in models up to trillions of parameters are legible, making mechanistic interpretability — and thus alignment — far more tractable than the field feared.

Related event: Ex-OpenAI researcher claims neural networks are "already clean," sparking interpretability breakthrough debate(57 posts)→

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