看看 Google 首席科学家 Jeff Dean 亲自讲 TPU 是怎么从一张餐巾纸上的数学计算变成现实的，还有他给 AI 创业者的灵感——小团队依然能赢。
在 Startup School 2026 上，Google 首席科学家 Jeff Dean 回顾了 2001 年他和 Sanjay Ghemawat 将整个 Google 搜索索引装入 RAM 的决策，使搜索速度大幅提升。他还提到 2013 年一张餐巾纸上的计算显示，每天每人三分钟语音识别需要 Google 双倍服务器，这催生了 TPU。访谈讨论 AI 模型是否已是初级工程师、AI Agent 可运行数周、推理硬件将成为下一个专业化方向，以及两三人团队如何依然能击败 Google。
In 2001, @JeffDean and Sanjay Ghemawat did the math and realized Google’s entire search index would ...
In 2001, @JeffDean and Sanjay Ghemawat did the math and realized Google’s entire search index would fit in RAM — then shipped it in a few days, and search got fast. In 2013, another napkin calculation showed that three minutes of daily speech recognition per user would require doubling Google’s server fleet. That one became the TPU. At Startup School 2026, Google’s Chief Scientist talks with YC’s @sdianahu through the thought experiments behind both, why inference hardware is the next specialization, and where two or three people in a room can still win. 00:07 — Are AI Models Already Junior Engineers? 01:44 — AI Systems That Improve Themselves 02:40 — The Google Search Breakthrough That Changed Everything 04:38 — AI Agents Will Run for Weeks 05:58 — The Napkin Math That Led to TPUs 09:20 — How to Find Breakthrough Ideas 10:25 — The AI Engineer's New Mental Model 12:33 — Why AI Is Really an Energy Problem 16:11 — Context Engineering Is the Next Frontier 19:46 — The Skill That Made AI Better at Optimization 22:13 — Why Long-Running Agents Fail 25:21 — Where Startups Can Still Beat Google 31:19 — How to Become an AI-Native Founder 36:36 — Question Your Biggest Assumptions 42:08 — AI That Builds Better AI 50:02 — Build Something That Truly Matters Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 0 ❤️ 2 👀 1696 📊 1 ⚡