Interpretability researcher calls mechanistic interpretability a 'bait and switch' away from understanding generalization

tak3sh8 · x · 2026-11-01

Quoting Andrew Carr's argument, the post contends that mechanistic interpretability was a huge missed opportunity: many people joined expecting a mechanistic understanding of generalization, only to find a bait-and-switch into an extremely niche, esoteric, largely ill-conceived effort around the roles of individual neurons.

The attached screenshot draws a parallel: Bayesian methods in AI similarly lured researchers with the promise of principled understanding of learning, uncertainty and generalization, then narrowed into arbitrary priors, intractable posterior approximations, and explaining everything as Bayesian inference. The broader point: compelling ideas in alignment and interpretability often get reduced to niche technical agendas that stray from their original goals.

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Interpretability researcher calls mechanistic interpretability a 'bait and switch' away from understanding generalization

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