Nick Cammarata
Interpretability researcher, Goodfire, as of 15 October 2026. Source: already-clean.goodfire.com
Co-author of the Distill circuits papers and OpenAI’s 2023 automated interpretability project; his Oct 2026 Goodfire essay argues neural networks are ‘already clean’.
Role changes
Publishes ‘Neural Networks Are Already Clean’ as a Goodfire researcher (byline ‘Nick Cammarata · Goodfire’) already-clean.goodfire.com
In the news
3 events on Post-Cutoff name Nick Cammarata, newest first.
Posts
2 archived posts by or about Nick Cammarata, newest first.
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Nick Cammarata announces ‘Neural Networks Are Already Clean’: ‘ambitious interpretability will be solved by the time we need it most’
Announcement of Goodfire’s essay by a co-founder of circuits-style interpretability; ~1.11M views and ~10.2k likes on day one (fxtwitter).
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roon on Cammarata’s essay: ‘this may be remembered as a major moment in scientific history’
Highest-reach reaction to the ‘Already Clean’ essay (~236k views); it drew Eliezer Yudkowsky’s rebuttal.
Bio
Interpretability researcher. He co-authored Zoom In, Curve Detectors (Distill, 2020) and Multimodal Neurons (Distill, 2021) with Chris Olah and others. At OpenAI he started the 2023 automated interpretability project, Language models can explain neurons in language models (Bills, Cammarata, Mossing et al.). In October 2026, at Goodfire, he published the essay “Neural Networks Are Already Clean” (see Goodfire’s Nick Cammarata argues ‘Neural Networks Are Already Clean’).
X handle not recorded: his posts come from @nickcammarata (essay announcement https://x.com/nickcammarata/status/2110757819427574056), but the fxtwitter profile display name is “Nick”, which does not match his full name, so the handle is not verified under this dataset’s rule.