Sam Altman’s remarks at the United Nations Security Council
Source note: Primary statements from a frontier lab. Self-interested by construction.
OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.
Every model that read this
| Model | Provider | Stage | Score | Conf. | Latency | Prompt | When |
|---|---|---|---|---|---|---|---|
| Llama 3.3 70B | Meta | analysis | 0 | 20% | 2099ms | v1.0.0 / m1.0.1 | 2026-09-23 21:18 |
| GPT-4.1 mini | OpenAI | consensus | +5 | 70% | 2773ms | v1.0.0 / m1.0.1 | 2026-09-23 21:19 |
| Claude Sonnet 5 | Anthropic | consensus | +2 | 75% | 6649ms | v1.0.0 / m1.0.1 | 2026-09-23 21:19 |
| Gemini 2.5 Flash | consensus | -100 | 0% | 1091ms | v1.0.0 / m1.0.1 | 2026-09-23 21:19 | |
| Mistral Small 3.1 24B | Mistral AI | consensus | +5 | 30% | 10531ms | v1.0.0 / m1.0.1 | 2026-09-23 21:19 |
No substantive claim.
The remarks promote AI safety and international cooperation, which are positive steps for managing risks. However, as statements from a self-interested source without concrete results presented, the societal impact remains uncertain and limited in immediate scope.
This is a bare announcement of an event, not a summary of substantive content. It names topics discussed but contains no verifiable claims, commitments, or outcomes about AI's societal effects. Cannot be scored beyond near-neutral without more detail.
The item describes Sam Altman's discussion of AI safety, human control, and international cooperation at the UN Security Council. It does not provide any claims or implications about AI's effects on humanity, nor does it contain any specific content from his remarks.
The text is a description of a speech. It does not make substantive claims about AI's effect on society. The speech topics are generally positive but lack specific details or measurable outcomes.
SOURCE OpenAI (tier 1)
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DOCUMENT c8c55632-0e10-4d87-b065-eaf215205d05
https://openai.com/index/sam-altman-un-security-council-remarks
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EVIDENCE 0 extracted excerpts
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MODEL RUN 5 runs, methodology 1.0.1
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SCORE -18 (Mixed or uncertain)
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CONFIDENCE 39%