{"data":{"id":"c85fa8bb-dd78-4dd4-9886-284584123b10","title":"What Affects CoT Monitorability Across The Model Lifecycle?","summary":"OpenAI researchers study how pretraining, architecture, reinforcement learning and model-generated data affect two proxies for chain-of-thought monitorability: no-CoT capability and CoT controllability. They report that no-CoT capability rises smoothly as base model perplexity falls, and that CoT controllability increases during RL even without process supervision beyond length constraints and final answer grading.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"https://alignment.openai.com/cot-monitorability-model-lifecycle/","publishedAt":"2026-11-10T08:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["OpenAI","GPT-6 Astra"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-11-10T08:00:00.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"industry","atlasIds":null}}