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OpenAI CEO 联合国演讲:AI 可能像文艺复兴,也可能引发工业革命式动荡

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OpenAI CEO Sam Altman 在联合国安理会就 AI 议题发表演讲,讨论 AI 发展的机遇与风险,并呼吁加强国际合作。他主张为前沿 AI 系统建立能力评估、风险评估、安全措施和人类监督标准,并将 AI 带来的严重问题归纳为两条主线:一是对未来失去控制,AI 进展过快、人类难以跟上,他提到递归自我改进可能加速技术发展,并称 OpenAI 过去曾单方面放缓、未来也会如此;二是权力集中,最强模型及相关权力不应集中在少数人、公司或国家手中。他还表示 OpenAI 试图在盲目乐观与末日论之间走中间路线,遵循人类处于 AI 决策核心、科技进步与经济增长成果服务民众、技术赋能个人三项原则。在数学研究方面,他称 OpenAI 模型三年前只能处理基础算术,两年前达到高中数学竞赛金牌水平,如今已达到国际数学竞赛水平,并举例称数周前一个内部模型解决了千禧年问题之一 Navier-Stokes(正文在此处截断)。

AI推荐理由 这是 Sam Altman 在联合国安理会关于 AI 的演讲转述,包含两条风险主线(失控与权力集中)、OpenAI 的三项原则,以及 AI 数学能力从小学算术到国际竞赛水平的进展描述。信息密度尚可,但来源为 AIbase 的二手转述,非官方一手记录,且正文在 Navier-Stokes 千禧年问题处截断,无法核实该说法的完整语境与证据;演讲内容本身偏政策表态,对模型、Agent、开发工具和芯片算力的直接技术价值有限。

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OpenAI CEO's Speech at the United Nations: AI May Be Like the Renaissance or Trigger a Revolution-Level Turmoil AIbase基地 Published inAI News · 6 min read · Sep 24, 2026 7 Sam Altman, CEO of OpenAI, delivered a speech at the United Nations Security Council on AI issues, discussing the opportunities and risks brought by AI development and calling for enhanced international cooperation. He advocated for establishing standards for capability assessment, risk assessment, safety measures, and human oversight for cutting-edge AI systems. He stated that as AI capabilities rapidly improve, the potential benefits and risks of the technology have become more directly evident—AI could be more like a renaissance full of creativity and discovery, or it could resemble an industrial revolution causing turmoil and chaos. Two Main Lines: Risk of Losing Control and Concentration of Power Altman summarized the serious issues that AI might bring into two directions. First, losing control over the future: AI is progressing too fast, people cannot keep up, nor can they intervene when needed. He clearly stated that the industry should not accept excessive technological risks just because AI is so profitable, nor should it make hasty decisions due to corporate competition; "OpenAI has slowed down unilaterally in the past and will do so again in the future." It should not train models that are unable to be controlled by humans, regardless of whether the disaster risk is estimated at 10%, 1%, or 0.1%, all of which are unacceptable. He specifically mentioned recursive self-improvement (the process where AI participates in AI development), stating that if development becomes further automated, the pace of technological advancement may increase rapidly, requiring high caution. The second point is the long-standing issue of concentration of power: the strongest models and related power should not be concentrated in the hands of a few people, to avoid one person, company, or country using AI to impose their worldview on everyone. Altman emphasized that this logic must be rejected, even if it benefits them. OpenAI tries to walk a middle path between blind optimism and doomsday scenarios, following three principles: humans should continue to be at the core of AI decision-making; the benefits of scientific progress and economic growth should serve the people; and technology must empower individuals, allowing more people to use the technology to achieve their own goals. Mathematics Has Reached International Competition Level, Governance Must Follow Democratic Processes Altman also discussed the progress of AI in mathematical research: OpenAI models could only handle elementary arithmetic three years ago, reached the level of high school competition gold medalists two years ago, and now have reached international mathematics competition levels. He gave an example, stating that a few weeks ago, an internal model solved one of the Millennium Prize Problems, the Navier-Stokes equations. However, he emphasized that solving the problem was not for the sake of mathematics itself, but to empower people to discover new knowledge and improve healthcare. Moreover, companies cannot replace democratic processes—if AI is to be "democratic," the most important decisions should not be made solely by the San Francisco lab, but must go through democratic processes shaped by governments accountable to the people, which requires cooperation at the international level. He advocated for establishing complementary domestic and international mechanisms for advanced AI standards, measuring capabilities, assessing risks, verifying safeguards, and retaining meaningful human supervision when systems become more autonomous. It is also necessary to have accurate and rapid event reporting and secure channels for sharing vulnerabilities. At the end of his speech, Altman said the world is at a crossroads: one path leads to the concentration of power and opaque decision-making, while the other leads to AI serving the people and being determined by the people through democratic institutions, "this is the future worth building." New AI TermsOpenAIArtificial IntelligenceRisk Assessment This article is from AIbase Daily Scan to view Welcome to the [AI Daily] column! This is your daily guide to exploring the world of artificial intelligence. Every day, we present you with hot topics in the AI field, focusing on developers, helping you understand technical trends, and learning about innovative AI product applications. —— Created by the AIbase Daily Team © Copyright AIbase Base 2024, Click to View Source -

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