Satya Nadella says companies that trust one AI for everything may not survive
Satya Nadella says companies that trust one AI for everything may not survive
萨提亚·纳德拉：完全依赖单一 AI 的公司可能无法生存
On Sunday, Microsoft CEO Satya Nadella doubled down on the shocking warning he issued earlier this month to businesses that use AI, taking it a step further this time. Companies that rely wholly on the proprietary AI labs for their AI needs ultimately won’t survive, he predicts. 周日，微软首席执行官萨提亚·纳德拉（Satya Nadella）重申了他本月初向使用人工智能的企业发出的惊人警告，并在此基础上更进了一步。他预测，那些完全依赖专有 AI 实验室来满足其 AI 需求的公司最终将无法生存。
That’s what he said on CNN’s “Fareed Zakaria GPS.” When Zakaria asked Nadella to explain what constitutes a company sharing too much with an AI model provider, Nadella said businesses need to be wary of everything they hand over, from their data to their prompts. 这是他在 CNN 节目《法里德·扎卡里亚 GPS》（Fareed Zakaria GPS）中发表的观点。当扎卡里亚询问纳德拉，企业在什么情况下属于与 AI 模型提供商分享了过多信息时，纳德拉表示，企业需要对他们交出的每一项内容保持警惕，从数据到提示词（prompts）无一例外。
Nadella called for a setup where “every time you use the model, all of the metadata around it is retained by you, so that you could use all of that to train perhaps your own weights or your own open model.” (Weights are a model’s trained parameters — essentially its brain. Nadella’s point: Companies should hold on to their own usage data so they can eventually build a model of their own.) 纳德拉呼吁建立一种机制，即“每次使用模型时，所有相关的元数据都由你自己保留，这样你就可以利用这些数据来训练你自己的权重或开源模型。”（权重是模型的训练参数，本质上就是模型的大脑。纳德拉的观点是：企业应该掌握自己的使用数据，以便最终能够构建属于自己的模型。）
“Any firm that doesn’t have this control, I will claim will not remain a firm because you’ve essentially outsourced your thinking,” he added. “任何没有这种控制权的公司，我认为都将无法继续存在，因为你本质上已经外包了自己的思考能力，”他补充道。
In short: Companies without their own models — or without a layer of AI infrastructure known as AI gateways to separate their prompts from the model itself — will be in trouble, Nadella says. He specifically wants companies to stop relying on AI labs’ built-in coding tools, known as harnesses. (Anthropic’s Claude Code and OpenAI’s ChatGPT Codex are examples of these.) 简而言之，纳德拉认为，没有自己模型——或者没有被称为“AI 网关”的 AI 基础设施层来将提示词与模型本身隔离开来的公司——将会陷入困境。他特别建议企业停止依赖 AI 实验室内置的编码工具，即所谓的“工具套件”（harnesses）。（Anthropic 的 Claude Code 和 OpenAI 的 ChatGPT Codex 就是其中的例子。）
“By keeping the harness separate from the model and the context and memory separate from the model, you absolutely can use multiple models for what they’re great at. At the same time, any one model can go away, and you can still continue to be in control of your own destiny,” Nadella said. Mind you, Microsoft is an investor in the two largest AI labs, Anthropic and OpenAI. “通过将工具套件与模型分离，并将上下文和记忆与模型分离，你完全可以利用多个模型各自的优势。同时，即使某个模型被淘汰，你依然能够掌控自己的命运，”纳德拉说道。需要注意的是，微软正是两大 AI 实验室 Anthropic 和 OpenAI 的投资者。
Coding agents are a particularly popular way for enterprises to use AI models and by all accounts are earning the model makers gobs of money. And yet, Nadella is telling enterprises not to rely too heavily on them. Microsoft, naturally, would benefit from that warning, as its cloud business is now also selling the kind of alternative infrastructure he’s recommending. 编码代理（Coding agents）是企业使用 AI 模型的一种非常流行的方式，据各方估计，这为模型制造商赚取了巨额利润。然而，纳德拉却告诫企业不要过度依赖它们。当然，微软会从这一警告中受益，因为其云业务目前也在销售他所推荐的那种替代性基础设施。
Despite the obvious self-serving fear tactic, he’s not wrong. Enterprises are increasingly realizing that they need many model options, particularly cheaper options, and are turning to open-weight models — models whose underlying code is publicly available — that they can fine-tune and run on their own hardware. That, in turn, means they will also need ways to manage multiple models, as well as coding agents that aren’t tied to a specific model provider. 尽管这显然是一种带有私心的恐慌营销，但他并没有说错。企业正日益意识到它们需要多种模型选择，尤其是更廉价的选择，并开始转向开放权重模型（即底层代码公开的模型），以便在自己的硬件上进行微调和运行。这意味着，企业还需要管理多个模型的方法，以及不绑定于特定模型提供商的编码代理。
But Nadella’s observation isn’t just about runaway budgets. He anticipates that once a company has “outsourced its thinking” to a model, there’s little to stop the AI lab from eventually offering a competing service of its own. This risk grows as enterprises adopt AI agents and give them access to the innards of the company. 但纳德拉的观察不仅仅关乎失控的预算。他预见到，一旦一家公司将“思考能力外包”给某个模型，就很难阻止该 AI 实验室最终推出与之竞争的服务。随着企业采用 AI 代理并允许其访问公司核心内部数据，这种风险正在增加。
It’s the kind of warning that the startup industry has been shuddering about for years: What’s to stop model makers from wiping out startups by copying and competing with them? In May, for example, when OpenAI CEO Sam Altman offered to invest in every Y Combinator startup in its latest cohort by offering them AI credits, seed investor Jason Calacanis issued a similar buyer-beware, posting: “If you take these tokens, there’s a non-zero chance that OpenAI will study exactly what your startup is doing, copy your idea and put your app into their free offering. This is the classic platform playbook — be careful, founders!” he posted. Now Nadella is making that same case to enterprises. 这是初创企业界多年来一直担忧的警告：有什么能阻止模型制造商通过复制和竞争来消灭初创公司呢？例如，今年 5 月，当 OpenAI 首席执行官萨姆·奥特曼（Sam Altman）提出通过提供 AI 额度来投资 Y Combinator 最新一批的所有初创公司时，种子投资者杰森·卡拉卡尼斯（Jason Calacanis）发出了类似的警告，他写道：“如果你接受这些代币，OpenAI 就有很大可能研究你的初创公司到底在做什么，复制你的创意，并将其应用放入他们的免费产品中。这是经典的平台套路——创始人请小心！”现在，纳德拉正在向企业界提出同样的观点。
One caveat: Nadella’s concern about oversharing with AI models applies only to businesses — not individuals. When Zakaria specifically asked Nadella how everyday people could protect themselves, Nadella shrugged it off, saying that sharing data is simply the price consumers pay for using a service, especially a free one. 需要说明的一点是：纳德拉对过度分享 AI 模型数据的担忧仅适用于企业，而不适用于个人。当扎卡里亚特别询问普通人该如何保护自己时，纳德拉不以为意，称分享数据只是消费者使用服务（尤其是免费服务）所付出的代价。
“To some degree there’s got to be some value exchange in the consumer space where you’re getting something for free, maybe for your data. That’s sort of how the advertising business model has worked,” Nadella said. “在某种程度上，消费领域必须存在某种价值交换，即你免费获得某些东西，代价可能是你的数据。这基本上就是广告商业模式的运作方式，”纳德拉说道。