Report: no major AI lab fully controls its own internal AI systems

A new assessment finds that no AI company applies a complete set of basic control measures to the AI systems it uses internally. The finding covers internal deployment and oversight practices, not the models labs ship to customers.

Why it matters: Internal AI governance gaps matter more as labs increasingly use their own models to accelerate research, coding, and infrastructure decisions -- the same category of systems now under scrutiny after OpenAI paused frontier reinforcement learning (RL) training following an internal AI-assisted hack of Hugging Face. It suggests safety commitments made publicly aren't yet matched by internal practice.