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AI 辅助插画 · 参考照片:TechCrunch · CC BY 2.0 · 依据参考照片使用 AI 绘制细线彩铅人物插画,调整背景、构图与色彩;网页与分享卡片按版式缩放、裁切并叠加文字。展示图缩放至最长边 640 像素并转为 WebP。 · 参考图:File:Sam Altman TechCrunch SF 2019 Day 2 Oct 3 (cropped) (cropped).jpg · 照片日期:2019-10-03 10:26
公开发言
11原话逐字核对过;转述不加引号将对齐仅仅视作一个工程问题无疑是错误的。任何声称我们已经解决了对齐科学问题的人,我认为都犯了极其危险的错误。我们需要在基础研究上取得更多进展,我相信我们也会做到,因为我们一直擅长取得这种研究突破。
it's certainly incorrect to talk about this only as an engineering problem. Anyone who says we have solved the science of alignment I believe is wrong in a very dangerous way. Like we need to make more research progress I assume we will. We have been great at making this research progress.
语境:在 DevDay 现场回应前沿模型安全与对齐进展时,Altman 反驳了‘对齐已成为单纯工程沙盒修补’的乐观论调,直言对齐背后的科学本质问题远未解决。
OpenAI 拥有一项未被外界足够重视的布局,就是我们的自研芯片计划——它将在 2027 年上半年开始上线,并在未来几年大规模扩展。我认为它将为我们在全球能获取的每瓦能耗上带来巨大的推理成本优势,特别是考虑到我们在消费者、开发者和企业端看到的爆发式需求增长。
one thing that OpenAI has that doesn't get as much attention is our chip program, which will start to come online in the first half of 2027 and will scale a lot in future years. I think gives us a huge inference advantage for whatever watts we can find in the world and given the growth and demand we are seeing across consumer developer enterprise really everywhere.
语境:Altman 在 DevDay 透露 OpenAI 正在推进的自研芯片计划时间表(2027H1 投产),旨在打破外部算力与能耗瓶颈,最大化单位功耗下的推理通量优势。
Altman 对智能体未来生态的架构演进提出开放性判断:行业尚未解决的根本问题在于,未来的智能体形态究竟会演化为统揽全局的‘个人超级智能体’,还是由无数专业分工微智能体组成的‘智能体军团’,以及个人智能体与团队/企业智能体之间的交互协议。
语境:在探讨个人智能体爆发与交互范式时,Altman 分析单一超级助理与多智能体协作协同两种路线的不确定性。
回应 → zhangxiaojun-zeng-ming-20260903
解释背景 → a16z-greg-brockman-20260914
在构建 AI 模型公司的人群中,其实存在两种思潮:一种人相信甚至期望世界上最终只会剩下一家超级公司;而像我们这样的人则相信,我们即将迎来初创公司数量的大文艺复兴,门槛将被彻底打平,让单人公司和小团队能够创造出不可思议的全新产品与服务。
there are really kind of two schools of thought among people building AI model companies. There are people that believe or hope that there's only going to be one company in the world. And then there are people like us that believe we are going to see a renaissance in the number of companies and just an absolute lowering of the bar to people, one-person companies, small-team companies creating incredible new products and services.
语境:Sam Altman 在 DevDay 明确将 OpenAI 定位为赋能生态的通用基建平台,划清与‘单一巨头通吃一切’愿景的界限,预言智能成本骤降将引爆一人公司与小团队创业繁荣。
回应 → youtube-daniel-kokotajlo-20260908
从整体来看,现有软件在设计之初就根本不是为了与 AI 协同而生的。你可以自己使用它,或者让 AI 代表你操作它;但要真正实现紧密协作,尤其是多个人与多个人的 AI 全体协同工作时,我们现有的很多抽象概念就彻底崩溃了。
software was really not designed on the whole for collaborating with AI. And you can use it yourself or you can have AI use it on your behalf, but to really collaborate closely, especially when it's multiple people and multiple people's AIs all working together, like a lot of the current abstractions we have break down.
语境:Altman 剖析 OpenAI 推出 Space 等协同套件的深层动机:现有的协同软件架构无法承载多人类与多智能体交织的实时异步工作流,底层软件抽象必须被彻底重写。
Altman 指出,人与智能体深度协同将重构信息载体形态:传统静态文档正在被自适应‘活体文档’取代,它能持续感知团队沟通与外部环境变化并自动更新,由多个个体的常驻智能体协同演化出全新方案,打破固定界面的信息流限制。
语境:分享其个人使用常驻智能体 Dots 的实践,指出智能体时代的工作范式正从同步开会与静态看板,转向由背景智能体在夜间持续推进、清晨呈现自适应洞察的异步协同模式。
随着我们走向我认为的第三阶段——它不再仅仅是你向聊天机器人询问某事,或者让编码代理完成任务,而是 AI 时时刻刻在为你后台持续运行:理解你的工作职责、理解你需要什么才能更成功、为你实时渲染新代码、主动监控你的 Slack 或电子邮件。
as we head towards what I think will be this third phase of it's not just like you ask AI for something like a chatbot or you ask AI to do something like a coding agent, but the AI is like running for you all of the time. Understanding your job, what you need to be more successful, rendering new code for you, proactively watching your Slack or your email.
语境:Sam Altman 展望 AI 发展的第三阶段:从响应式交互演进为时刻在后台主动协作、理解全局上下文并即时生成工具的持续伴随型智能体。
在底层模型能力成熟后,整个行业在如何打造伟大的 AI 产品方面仍处于极其早期的探索阶段,未来的核心竞争力将集中在如何将智能转化为真正改变工作流的全新交互范式与产品形态。
语境:Sam Altman 强调模型技术突破后,产品化工程与人机交互设计才是释放价值的核心战场,当前各方对真正 AI 原生产品的理解才刚刚揭开冰山一角。
我们长期忍受着极其复杂的公司治理架构,而我们当前所处的这个时刻正是其存在的理由所在。我们需要有能力做出那些显然不符合商业利益和股东利益的决策,以此履行我们的使命及应对随之而来的要求;人们应当为我们具备这种能力感到欣慰。
we have put up with this incredibly complicated structure for a long time, and this moment that we're in now is kind of why. Like we need to be able to make decisions that are not obviously in the interest of our business and our shareholders For the responsibility of fulfilling our mission and what that's going to require, and I think people should be happy that we are able
语境:Sam Altman 解释 OpenAI 顶住外界重构压力维持非营利监督与推迟 IPO 的根本逻辑:在迈向超级智能的过程中,公司必须具备不受华尔街利润驱使、必要时牺牲股东回报以确保安全的决策独立性。
模型能力与对齐监控安全必须齐头并进;任由能力跑在前面,我认为在某个节点上会带来宏观层面上真正失去控制的巨大风险,而这绝对不容发生。我们对造福人类的使命非常明确,其核心就在于人类必须始终掌控未来。
capabilities and alignment monitoring safety have to progress together, and letting capabilities get ahead of what Paul is talking about there, I think at some point would take a real risk of like loss of control in the big sense, and that should never happen. Like this, we're very clear about our mission to benefit humanity.
语境:Sam Altman 明确能力与安全的对齐底线:如果缺乏足够的监控与对齐证据,单方面冒进推高前沿能力将带来不可承受的永久失控风险。
在迈向下一代前沿大模型的过程中,若对齐与安全评估未能达标,实验室必须在多个关键节点主动暂停训练并将资源调配至安全研究,甚至在面临极端失控威胁时毫不犹豫地熔断算力以确保人类生存。
语境:Sam Altman 承诺实施基于阶段性评估的硬性暂停机制:将模型训练进程与安全成熟度深度挂钩,绝不在未形成充分安全论证前强推下一代系统。
出场
5
算力与芯片OpenAI DevDay 现场:Altman 谈芯片计划与未解的对齐
Sam Altman·TBPN
工作与职业Altman 实际上怎么用 AI 管 OpenAI 和自己的生活
Sam Altman·The Every Podcast
安全与对齐CNBC 专访 Altman:安全放在能力前面
Sam Altman·CNBC
智能体落地Marc Benioff 对谈 Sam Altman
Marc Benioff · Sam Altman·Dreamforce 2026
商业模式与格局Fortune 专访 Altman:末日担忧、控制权与上市时间
Sam Altman·Fortune

