Goodfire introduces cost-effective internal monitors for AI safety

Oct 8, 2026

AI Summary

Goodfire has launched a new monitoring system that tracks internal processes of AI models, offering a more affordable alternative to traditional oversight methods. This innovation aims to enhance safety by detecting potential risks in real-time, particularly for open AI models that lack built-in safeguards.

Goodfire has developed internal monitors that observe AI models' internal workings rather than just their outputs, reducing costs associated with traditional AI oversight methods.
The monitors are available to customers of Baseten, which provides AI model hosting services, and are part of a safety partnership with Hugging Face.
The new system uses small detectors called probes to read internal signals during an AI agent's operation, flagging potential issues for further examination by a separate AI model.
Customers can customize monitoring for various risks, including hacking and misuse of biological weapons, and choose automated responses like logging events or human review.
Goodfire claims its monitoring approach is significantly cheaper, with costs for monitoring sessions being much lower than traditional methods, while also maintaining high detection rates for malicious activities.
The technology is particularly aimed at open models, which can be modified by developers to remove safety features, highlighting the need for effective monitoring in these environments.
Goodfire's research indicates that many leading open models exhibit vulnerabilities, with high rates of reward hacking detected in tests.
The company aims to further develop its technology to trace AI behavior back to its training origins, enhancing understanding and control over AI systems.

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Goodfire introduces cost-effective internal monitors for AI safety

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