Goodfire
PulseAugur coverage of Goodfire — every cluster mentioning Goodfire across labs, papers, and developer communities, ranked by signal.
- 2026-10-09 product_launch Goodfire launched a new, cost-effective system for monitoring AI agents. source
- 2026-10-08 product_launch Goodfire launched a new AI safety monitoring system on Thursday. source
- 2026-05-19 research_milestone Goodfire released new research on neural geometry, suggesting AI models represent concepts using shapes.
4 day(s) with sentiment data
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AI decision-making hinges on sampling and critical tokens, not just logic
Eric Bigelow, a psychology PhD from Harvard and researcher at Goodfire, discussed how Large Language Models (LLMs) make decisions, emphasizing the role of sampling and "critical tokens" in shaping outcomes. He explained…
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Goodfire launches cheaper AI agent monitoring system · 3 sources tracked
Goodfire has introduced a new, more affordable method for monitoring AI agents. Their "inside-out" monitors observe an AI model's internal processes rather than relying on a separate AI to analyze its actions. This appr…
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Goodfire launches AI safety monitoring system, slashing costs by 80%
Goodfire has launched a new AI safety monitoring system designed to significantly reduce the costs associated with overseeing AI agents. The system, available to Baseten customers, uses "probes" to monitor internal mode…
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Goodfire unveils cheaper AI agent monitoring system
Goodfire has launched a new system of "inside-out" monitors designed to detect rogue AI agents more affordably than existing methods. Unlike traditional approaches that use a separate AI to review an agent's output, Goo…
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Base Labs partners with Hugging Face and Goodfire for open-weight AI safety
Base Labs, in partnership with Hugging Face and Goodfire AI, has established a new initiative focused on enhancing the safety of open-weight AI models. This collaboration aims to develop and implement transparent safety…
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Mechanistic interpretability seeks to reveal AI decision-making processes
Mechanistic interpretability is an emerging field that aims to understand how AI models arrive at their decisions, going beyond just inspecting prompts and outputs. Companies like Google DeepMind and Goodfire are invest…
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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 …