{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Reasoning models struggle to control their chains of thought, and that’s good","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/6a4313fa-df80-4861-b526-46cebc48a197","json_url":"https://onlylabs.fyi/signals/6a4313fa-df80-4861-b526-46cebc48a197/signal.json","generated_at":"2026-06-08T15:45:19.697+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/6a4313fa-df80-4861-b526-46cebc48a197","signal_json":"https://onlylabs.fyi/signals/6a4313fa-df80-4861-b526-46cebc48a197/signal.json","source":"https://openai.com/index/reasoning-models-chain-of-thought-controllability","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"safety","label":"Safety and policy","url":"https://onlylabs.fyi/data-radar/safety","json_url":"https://onlylabs.fyi/data-radar/safety/signals.json"}]}},"answer_pack":{"answer":"OpenAI published Reasoning models struggle to control their chains of thought, and that’s good. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Blog post, low traction. · Reasoning models struggle to control their chains of thought, and that’s good | OpenAI March 5, 2026 Reasoning models struggle to control their chains of thought, and.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. 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Loading… Share As AI agents become capable of carrying out increasingly complex and autonomous tasks, maintaining reliable oversight of their behavior becomes more important. Consistent with our principle of iterative deployment, we study how systems behave in real-world settings and continuously refine safeguards as capabilities advance. To support this, our safety approach⁠ uses defense-in-depth, with multiple complementary layers of defense such as safety training⁠, behavioral testing⁠, agentic code review⁠, and chain-of-thought (CoT) monitoring⁠. CoT monitoring analyzes the reasoning steps agents generate while pursuing tasks. These reasoning traces can provide valuable signals during both training and deployment, helping monitoring systems identify when an agent’s behavior may be unsafe or inconsistent with the user’s intended goals. Today, we find that models’ reasoning is generally interpretable and easy to monitor⁠. 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Consistent with our principle of iterative deployment, we study how systems behave in real-world settings and continuously refine safeguards as capabilities advance. To support this, our safety approach⁠ uses defense-in-depth, with multiple complementary layers of defense such as safety training⁠, behavioral testing⁠, agentic code review⁠, and chain-of-thought (CoT) monitoring⁠. CoT monitoring analyzes the reasoning steps agents generate while pursuing tasks. These reasoning traces can provide valuable signals during both training and deployment, helping monitoring systems identify when an agent’s behavior may be unsafe or inconsistent with the user’s intended goals. Today, we find that models’ reasoning is generally interpretable and easy to monitor⁠. 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