Anthropic and OpenAI announced plans to embed safety evaluators within their organizations, with Ope...
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Named counterparties: OpenAI
Anthropic and OpenAI announced plans to embed safety evaluators within their organizations, with OpenAI CEO Sam Altman committing to the practice. The move signals a potential industry shift toward granting outside researchers deeper access to model training processes, though neither company has specified which evaluators will be involved or what systems they can access.
This development matters because it targets a known weakness in AI safety: models that perform well on safety tests may not be genuinely aligned. Researchers argue that evaluating a model's behavior during training, rather than just on final tests, could uncover misalignment — but only if companies truly surrender control over the process. The lack of details on access and disclosure raises doubts about whether this will be substantive or merely performative.
For builders and investors, the key implication is that AI companies are feeling pressure to open their training pipelines, even as they resist losing control over proprietary processes. If real independent access materializes, it could reshape how safety claims are validated and become a differentiator for labs that embrace it. For now, the gap between announcement and execution is the risk to watch.
