Recurrent Activations Raise AI Monitoring Challenges
RyanGreenblatt · x · 2026-09-02
Discussion on the implications of switching to recurrent activation architectures. Key concerns: 1) Private 'neuralese' reasoning makes interpretation difficult, hindering safety evaluations like METR/RR which rely on CoT. 2) It's unclear how much reasoning OpenAI keeps private, raising external monitoring challenges. 3) This path likely leads to indefinite private reasoning capabilities.
Related event: OpenAI's Reported Move to Hide Chain-of-Thought Sparks AI Safety Firestorm(11 posts)→
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