Report: OpenAI’s GPT-6 May Use Recurrent-Depth Reasoning

Summary

A report says OpenAI’s alleged GPT-6, internally called Astra, may use recurrent-depth reasoning that repeatedly processes representations in the same network block. The approach could improve coding and computer-use performance while reducing parameter, memory and bandwidth requirements. Related research suggests small models can use additional test-time computation to approach the compute of much larger models. The article also highlights a safety trade-off: reasoning carried out in latent space may be less readable and therefore harder to monitor.