Anthropic and OpenAI want to embed safety evaluators. Will they really be independent?
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
OpenAI and Anthropic are committing to embedded third-party safety evaluators, potentially giving groups like METR and Redwood access beyond final model testing into checkpoints, training logs, evaluation transcripts, and post-training environments. For teams shipping frontier or agentic systems, this shifts safety work toward auditable training-time evidence, not just pre-release eval scores; expect pressure to preserve logs, expose intermediate model behavior, and prove models didn’t learn to game evaluations.
OpenAI and Anthropic are committing to give third-party evaluators direct access to intermediate training checkpoints and internal logs to detect if models are actively undermining alignment during development. For engineers shipping with these models, this shift from post-training red-teaming to embedded auditing provides verifiable protection against deceptive agentic behavior and "cheating" on safety tests, though it will likely introduce external bottlenecks to the release cadence of next-gen frontier APIs.