OpenAI explores looped transformers to improve answers by reprocessing text

pstAsiatech · x · 2026-09-02

OpenAI is reportedly using a new technique known as recurrent depth or looped transformers. This method allows an AI model to improve its answers by processing the same text multiple times, aiming to enhance reasoning capabilities and output quality.

Related event: OpenAI's Astra Reportedly Reasons in Latent Space via Recurrent Depth, Sparking AI Safety Alarm(96 posts)→

Original post →

More from Models

• Models can detect read-only probes with just last-two-layer SFT — Sauers_ · 2026-10-18
• Paying Google AI subscriber blocked: custom-domain Workspace accounts can't access AI Studio — ChrisRackauckas · 2026-10-18
• Running Ling 3.1 Flash (560B MoE, 25B Active) Across 4 DGX Sparks via llama.cpp RPC — BerryBlush_Rogers691 · 2026-10-18
• Users press OpenAI on long-delayed Adult Mode a year after it was promised — ___Patrice___ · 2026-10-18
• Polymarket opens betting market on who releases the next Gemini Argon model — Polymarket · 2026-10-18
• Grok matter-of-factly lists which groups user was racist against, exempting Africans and Latin Americans — teortaxesTex · 2026-10-18

Models channel →