Nathan Lambert：中国 AI 实验室人才不缺，缺的是算力
Trillium Labs 的 Nathan Lambert 说 OpenAI 一名研究员能调用 5000 张 H100，中国研究员听到直接愣住，中美差距到底差在哪这段讲得挺直白。
Trillium Labs 的 Nathan Lambert 在 a16z 的访谈中说，中国实验室的技术水平很高，人才储备与美国相当，但被算力卡住。他称一名 OpenAI 研究员平均可随时调用约 5000 张 H100 等值算力，中国研究人员听到后表示难以理解。他把这一差距总结为：中国实验室更缺算力，而非能力。
Compute scarcity, in one chart Old GPUs are turning into appreciating assets a16z @a16z Nathan Lambert of @trillium_labs says Chinese AI researchers' jaws drop to the floor when he tells them how much compute OpenAI has: "The Chinese labs are very technically excellent. They are more compute-starved." "Without a doubt, they have a comparable talent pool to draw on... To say that China is anything but equal on talent, you're gonna have a hard time because they just have so many people being trained at such a high level." "What they don't have is compute." "You talk to people there, and you're like, 'Oh, I heard an average OpenAI researcher has five thousand H100 equivalents that they can access at any time,' and like their jaw just falls to the floor. They're just like, 'I can't comprehend.'" @natolambert @lishali88 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 10 🔄 9 ❤️ 88 👀 9324 📊 18 ⚡
