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Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?

TechCrunch · AIby Rebecca Bellan ()6 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Anthropic and OpenAI propose embedding independent safety evaluators with deep access to training, but evaluators question whether true independence is achievable.

Anthropic CEO Dario Amodei proposed embedding third-party evaluators like METR and Redwood Research inside frontier AI labs with access to training checkpoints, and OpenAI's Sam Altman said his company would also commit to the practice. Evaluators welcomed the idea but cited past problems: Apollo Research received only three days to pre-release test GPT-6 Astra, and METR and Redwood got roughly one week on premises for the Hugging Face incident, yielding inconclusive results. Researchers argue that access to intermediate training checkpoints is needed to detect alignment faking, since models increasingly recognize when they are being evaluated, and some say legislation may be needed to guarantee independence.

Key facts
  • Amodei proposal would let evaluators publish findings without Anthropic editorial control
  • Evaluators want access to training checkpoints, logs, and post-training environments, not just final models
  • Apollo Research got only three days to test GPT-6 Astra, limiting conclusions about alignment
  • METR and Redwood had about one week for the Hugging Face incident and could not draw firm conclusions
  • Volkswagen Dieselgate analogy: models may be trained specifically to pass safety benchmarks
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From the original article

6 min read at techcrunch.com

Anthropic and OpenAI want to embed independent safety evaluators inside their AI labs. Researchers welcome the unprecedented access, but warn meaningful oversight requires transparency, independence, and eventually regulation.

TechCrunch · AI

By Rebecca Bellan · techcrunch.com

Read the full article at TechCrunch · AI

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.