X Product Lead Peter: Ads in AI Chat Are Feasible but Would Kill the Company

In a CNN interview, Jensen Huang publicly revealed a management detail that made every Silicon Valley executive's heart skip a beat: Inside Nvidia, 100% of software engineers and chip designers are already using AI every day, and the force with which he has pushed this has reached a level that is "almost mandatory." And it's not the kind of perfunctory initiative-issuing, nor the HR-arranged clock-in training, Lao Huang has simply treated this matter as a red line of the company's very survival: As long as you write code or draw chip blueprints at Nvidia, you must outsource part of your brainpower to large models. Previously, many big-tech programmers always carried a kind of old-craftsman arrogance: feeling that AI-generated code is too dirty, that the logic has holes, and that only what is typed out line by line by human hands counts as engineering craftsmanship. Switching tools amounted to a wholesale denial of their own muscle memory built up over more than a decade, and they even secretly resisted feeding business details to the models. But Jensen Huang slapped this kind of preciousness to pieces, even in Nvidia, the stronghold of chip-making and compute-selling, even the most hardcore frontline engineers have been pressed by the CEO to fully adopt AI, and Jensen Huang himself keeps four tools on his phone year-round: ChatGPT, Gemini Pro, Perplexity and Grok, rotating through them. Now that the people selling shovels are shoving the shovels down their own people's throats, while outsiders still stand by debating whether to use them—that in itself is an extremely absurd generational time lag. I think the most brutal part is the line Zakaria pressed on: "the revenge of the English majors." Previously, the ticket into the computer world was tightly monopolized by obscure machine syntaxes like C++, Python and Verilog, but now computers are frantically adapting to humans' native language; the only programming language of the future is English—it's the human language you speak.

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黄仁勋在 CNN 专访里公开了一个让所有硅谷高管心惊肉跳的管理细节： 英伟达内部 100% 的软件工程师和芯片设计师已经在天天用 AI，他推行的力度甚至到了“近乎强制”的地步。 而且不是那种流于形式的发发倡议、也不是HR安排的打卡培训， 老黄就是把这件事情当成了公司生死存亡的红线： 只要你在英伟达写代码、画芯片图纸，你就必须把一部分脑力外包给大模型。 以前很多大厂程序员总有一种老手艺人的傲慢： 觉得 AI 生成的代码太脏，逻辑有漏洞，只有人肉一行一行敲出来的才叫工程素养。 换个工具就等于全盘否定自己过去十几年的肌肉记忆，甚至暗搓搓地抗拒把业务细节喂给模型。 但黄仁勋这一巴掌把这种矫情彻底拍碎了， 哪怕在英伟达这个造芯片、卖算力的大本营里，连最硬核的一线工程师都被 CEO 按着头全面接入 AI， 黄仁勋自己手机里更是常年挂着四个工具：ChatGPT、Gemini Pro、Perplexity 和 Grok 轮番换着用。 现在当卖铲子的人都在把铲子硬塞进自己人的喉咙里，外面的观望者还在争论要不要用，本身就是一种极其荒诞的代际时差。 我觉得最狠的是扎卡利亚追问的那句“英语专业的复仇”， 以前进入计算机世界的门票，被 C++、Python、Verilog 这些晦涩的机器语法死死垄断， 但现在的计算机在疯狂适配人类的母语，未来唯一的编程语言就是英语，就是你说的人话。