This startup’s new mechanistic interpretability tool lets you debug LLMs
SMRTR summary
San Francisco startup Goodfire has released Silico, a tool that lets developers look inside AI models and adjust specific neurons during training — something previously only possible at major labs like Anthropic and Google DeepMind. By targeting individual neurons, developers can fix problems like hallucinations or flawed math reasoning without guesswork. Silico could help smaller companies build safer, more reliable AI models without needing specialized interpretability researchers on staff.
SMRTR provides this summary for quick context. The original article belongs to MIT Technology Review.
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