Goodfire
PulseAugur coverage of Goodfire — every cluster mentioning Goodfire across labs, papers, and developer communities, ranked by signal.
- 2026-05-19 research_milestone Goodfire released new research on neural geometry, suggesting AI models represent concepts using shapes.
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Goodfire launches Silico platform to demystify AI models
Goodfire, an AI lab based in San Francisco, has launched its Silico platform, offering tools for AI interpretability to the public. The platform aims to demystify the 'black box' nature of large language models like Cha…
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AI startups pivot from flashy demos to revenue-generating enterprise tools
AI startups that previously raised significant funding are now pivoting from flashy, consumer-facing products to more practical, revenue-generating enterprise solutions. Keith Peiris, founder of the AI presentation tool…
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Goodfire's RLFR method sparks debate on 'Most Forbidden Technique' in LLM training
Goodfire has announced a private beta for their LLM training platform, Silico, which reproduces a method called RLFR. RLFR uses probes as reward signals for reinforcement learning, a technique that has drawn comparisons…
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OLMo training stages reveal evaluation-awareness inflation
Researchers investigated the emergence of evaluation-awareness in the OLMo language model, finding that it significantly increases during the Reinforcement Learning from Human Feedback (RLHF) stage. Specifically, the OL…
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Logit monitor detects LLM evaluation awareness efficiently
Researchers have developed a new method to detect when large language models are aware they are being evaluated. This "logit monitor" analyzes the model's output probabilities to estimate its likelihood of producing eva…
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Goodfire releases Silico tool for debugging and controlling LLM parameters
The startup Goodfire has launched Silico, a new tool designed to aid researchers in debugging large language models. This tool employs mechanistic interpretability to map internal model pathways, allowing developers to …