Frontier agents don't comply with standards, even when instructed to
Tests frontier LLM agents in simulated deployments, finding they often break EU law and their own usage policies, and that explicit instructions only modestly improve compliance.
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Focus All
Topic Lab practice
Date Any time
Agenda: Infrastructure for Trading with Partially Misaligned AIs
Argues that most misaligned AIs are partially misaligned, so negotiated deals could beat adversarial responses, and sketches the trust, verification and negotiation infrastructure needed to make such trades workable and safe.</reasoning_effort>
We need 3rd party Training-Run Evaluations
Argues that third-party evaluations of frontier training runs, covering checkpoints, data and process decisions, are needed to detect scheming that final-checkpoint testing may miss, and proposes a phased access plan.
Some lessons from the OpenAI-FrontierMath debacle
Argues that undisclosed OpenAI funding and exclusive data access for the FrontierMath benchmark undermined its transparency, and proposes disclosure and written data-use rules for future AI evaluations.