Ex-OpenAI researcher's 26,000-word treatise claims AI's hardest interpretability problem just got easier
nordicinst · x · 2026-10-28
The New York Times reports that former OpenAI researcher Nick Cammarata claims a revolutionary approach to AI interpretability. He revisits the decade-old puzzle of Google's Inception model — why the math recognizing cars looked nearly identical to that recognizing cats — arguing one computation captured a "V" shape appearing both on car fronts and cat faces.
The claim is a small part of a 26,000-word treatise arguing interpretability may be far easier than assumed, though other experts remain skeptical, reopening a longstanding debate in AI research.
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