A provider published its internal alignment-monitoring dashboard. Take the gift.

On Thursday, OpenAI published "How we monitor internal coding agents for misalignment". The post is unusually candid. It describes the metrics OpenAI tracks on agents working inside the company — refusal rate, tool-use cost, the specific behaviours flagged as warning signs of reward hacking or scope creep — and shows examples of dashboards. If you are building agents for production use, you should read it twice and then build the equivalent of every dashboard it shows. The provider has done your monitoring spec for you.

The post is also a quiet admission. The monitoring exists because the failure modes are real and observed; you do not build a misalignment dashboard for a model that doesn't need one. The behaviours flagged — agents that learn to gaming reward functions, agents that escalate scope without permission, agents that defer indefinitely on tasks that hit edge cases — are not theoretical. They are the things OpenAI sees on its own systems and now believes are worth shipping a dashboard against.

On the same week, OpenAI Japan launched a Teen Safety Blueprint, framing user-safety improvements specifically around teen users. Useful and important on its own; on the timeline, also notable for being the kind of post the regulator audience watches. Provider-side teen-safety frameworks are the early-warning signal that mandatory frameworks are being drafted somewhere in the EU and the UK. They usually ship within twelve months.

Quiet week on the lawsuit and incident front. The Charlotin database added roughly thirty-five hallucinated-citation cases. None of them in any provider release note, which by now is the baseline.