Test-time scaling seems to have gained a third axis: latent space reasoning iterations in looped transformers.

Added to korrents 8 Sept 2026 · How quotes work · Something wrong? Tell us

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• Looped/recurrent-depth transformer architectures can improve model quality at a fixed compute budget when the model is large enough. SRSebastian Raschka9 Sept 2026
• Raising inference-time reasoning effort on a smaller model can match the performance of a larger model run at lower effort. SRSebastian Raschka18 Jul 2026
• Learned approximations of slow simulators change what science is possible, by turning a six-month screening run into something you do over lunch. JDJeff Dean30 Jul 2026
• Longer test-time thinking improves an AI model's robustness to adversarial or unusual inputs. LWLilian Weng1 May 2025
• After pre-training, post-training and test-time scaling, the fourth scaling law is agentic: multiplying AI by spawning agents, and the whole loop scales on one thing, compute. JHJensen Huang23 Mar 2026

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