{"data":{"id":"67d7718b-678e-44b0-b4b4-60d1d541f7c7","title":"OpenAI proposes development of global AI standards to guide alignment, RSI","summary":"OpenAI has proposed global standards for safe development of advanced AI systems, with focus on alignment research (ensuring AI systems follow human values) and recursive self-improvement, or RSI (a technique where AI models can upgrade themselves without human help). The company warns that RSI pursued without proper safeguards could cause humans to lose control over AI development, and calls for international cooperation and existing AI safety institutes to help create technical standards for frontier AI models.","solution":"OpenAI stated: 'Fully autonomous RSI is not happening today, and we should not pursue it unless and until it can be done safely.' The source also mentions that Anthropic CEO Dario Amodei proposed 'embedding third-party evaluators into their companies as a way to audit and mitigate any potential risks,' and that a coalition of AI evaluators is urging foundation model makers to consider 'minimum conditions' including 'deeper access and the prevention of retribution for publishing unflattering reports' to enable more thorough technology audits.","labels":["policy","safety"],"sourceUrl":"https://www.cnbc.com/2026/09/21/open-ai-alignment-rsi.html","publishedAt":"2026-09-21T20:51:11.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"regulatory","affectedPackages":null,"affectedVendors":["OpenAI","Anthropic"],"affectedVendorsRaw":["OpenAI","Anthropic","Hugging Face","Microsoft","Tesla","SpaceX"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-09-21T20:51:11.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}