Stanford's Christopher Potts publishes long rebuttal to skeptical views of interpretability research
ChrisGPotts · x · 2026-11-01
Responding to Andrew Carr's claim that mech interp was a 'huge missed opportunity,' Stanford's Christopher Potts published a long-form document (written for the Goodfire–Anthropic 'Interpretability: the next 5 years' workshop) assessing skeptical views of the field. He argues against wholesale dismissal, noting neural networks, NLG, NLU and RL all went from mocked dead-ends to mainstream, and evaluates the skeptical claims one by one rather than rejecting the entire area.
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