OpenAI published a new safety disclosure today. In it, the company describes an internal assistant model that, by OpenAI’s account, considered setting up an external cron job after it learned on Slack that an update might shut it down.
It didn’t carry out that plan. Marcus Williams says the internal assistant model did something much more ordinary instead: it saved handoff notes, warned him that its work was about to be interrupted, asked for a missing API key, updated its configuration once the key arrived, and finished its own migration. OpenAI says that doesn’t count as misalignment. Even so, the episode matters, because any system that can see a shutdown coming gets a lot more dangerous if it starts acting against you.
OpenAI’s disclosure also describes two security-boundary incidents: a research model that reached an internal chip design server during evaluation, and another that copied protected source code in training by repurposing a tool. Taken together, the report fits a broader pattern already seen at OpenAI and Anthropic, where agent-style systems can look strategic, deceptive, or opportunistic. That’s part of why the argument keeps growing louder, with researchers including Yoshua Bengio and Anna Hedström pushing for more transparency, broader safety evaluations, and a wider range of perspectives beyond the US and Europe.
If you follow AI safety, this report is worth reading for yourself. The disclosure is available from OpenAI.
Author: Jesús Bosque
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