Fired OpenAI safety researchers urge board not to build unmonitorable AI

What happened: The Wall Street Journal reports that Tom Carbach, Makita Blesny and Jasmine Wang, three safety researchers OpenAI fired around October 1 over alleged mishandling of sensitive information, sent a letter to OpenAI's board and safety committees. It urges OpenAI and rivals not to build models whose chain-of-thought reasoning can't be monitored, and says the firings created a 'chilling atmosphere' for remaining staff. Per the WSJ, it says the industry does not yet know how to safely develop and deploy models it cannot monitor. OpenAI's own system card says its Astra-class models could evade chain-of-thought monitors under adversarial conditions, as Gizmodo also cites.
The claim: OpenAI says the firings were about data handling, not speaking out, and an internal memo says it strongly agreed with the recommendation.
Austin's take: Austin says OpenAI seems to have a safety story every week. He explains that the 'thoughts' shown in chatbots are a representation, not the real reasoning logs, and that outside researchers lack access to them. He understands OpenAI's worry about exposing its secret sauce but wants to see proactive safety protocols instead of another whistleblower next week.
Why it matters: Chain-of-thought monitoring is one of the few practical ways to see what a model is planning, and OpenAI's own documentation says it can be evaded.
What to do: Treat the reasoning summaries in chatbots as a rough view, not a full record, and watch for whether OpenAI announces concrete monitoring safeguards.
Not confirmed yet: The full letter isn't public; details come from WSJ reporting. The reason for the firings is disputed between the researchers and OpenAI.

The Loop