
Goodfire researcher claims neural nets are more interpretable than thought
Stanford's Chris Potts calls the 26,000-word post a hunch that does not make interpretability easier.
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Stanford's Chris Potts calls the 26,000-word post a hunch that does not make interpretability easier.

A Goodfire researcher argues neural networks are already interpretable and superposition was misread.

Goodfire launched low-cost internal monitors on Baseten to catch rogue AI agent behavior.

Baseten's Base Labs partners with Hugging Face and Goodfire to build safety evaluation and monitoring standards for open-weight models.
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