GPT-6 Astra rumored to use recurrent-depth latent reasoning, sparking AI safety alarms
DJiafei · x · 2026-09-12
- A rumor (unconfirmed) claims OpenAI's next model GPT-6 Astra uses a Recurrent Depth / Loop Transformer architecture: the model iterates its reasoning in latent space without emitting chain-of-thought tokens, cutting compute costs. Fortune reports safety experts worry such opaque reasoning will make AI agents harder to monitor.
- The same idea has been open-sourced for robots: RD-VLA (Recurrent-Depth VLA), a latent iterative reasoning architecture for robot control — no CoT tokens, no extra memory overhead, reasoning directly in latent space. All code is open source.
- Safety concern: experts argue this design accelerates the loss of human oversight over agent reasoning, calling it a potentially dangerous step.
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