Latest updates · 21 October 2026
In the full issue →How can we tell what reasoning models are really thinking? A Nature Machine Intelligence editorial calls for work on understanding and monitoring reasoning LLMs.
Journals & preprints
- Towards understanding and monitorability of reasoning LLMs, Nature Machine Intelligence · DOI 10.1038/s42256-026-01333-6 · 19 Oct 2026: An editorial on why the chains of reasoning produced by large language models need to be understood and monitored.
- When the harness decides success: state that cannot be re-observed, arXiv 2610.26632 · 19 Oct 2026: Agent harnesses decide what a language model sees across turns: they drop old turns, summarize them, or replay the model's own earlier reasoning.
Why it matters
Monitoring a model's reasoning is one of the few practical windows into how advanced AI reaches its answers.
