Goodfire is a company focused on AI interpretability, working to understand how models function internally. Recent coverage centers on a 26,000-word post by Goodfire researcher Nick Cammarata arguing that large language models may be easier to understand than assumed, with networks studied directly through their neurons and circuits. Goodfire also launched agent monitors that inspect a model as it works rather than paying a second AI to read everything an agent does, cutting costs.
Researcher's 26,000-word post claims AI models may be easier to understandGoodfire researcher Nick Cammarata published a 26,000-word post arguing LLMs may be far easier to interpret than believed, sparking celebration across the AI field. Prominent researchers caution that neurons are only a small piece and that less than 0.01% of how top models work is understood. Cammarata admits his findings were taken too far.
Essay argues neural networks are already cleanIn an essay, Goodfire's Nick Cammarata argues that polysemanticity in early models stemmed not from superposition but from ordinary, mostly fixable issues, so networks can be studied directly via their neurons and circuits, making the outlook for mechanistic interpretability far better than feared.
Goodfire launches cheaper AI agent monitorsGoodfire launched new monitors that peek inside an AI model while it works, instead of paying a second AI to read everything an agent does, and only call for backup when something looks suspicious—cutting costs significantly.
The A.I. Daily