Jeff Dean讲了Google当年靠餐巾纸算出了TPU和搜索加速的故事，还给出了初创公司能从哪些角度赢Google，挺有启发。
谷歌首席科学家Jeff Dean在YC Startup School 2026上回忆与Sanjay Ghemawat在2001年发现整个搜索索引可放入RAM，随即几天内实现快速搜索。2013年，他通过计算用户每天三分钟语音识别所需算力，发现需翻倍服务器数量，由此激发TPU的诞生。访谈还讨论了AI代理可运行数周、上下文工程成为前沿、以及为什么AI本质是能源问题。Dean强调两个人在一个房间里仍能击败大公司，并分享了成为AI原生创始人的路径。
Thanks for an engaging conversation at @ChaseCenter last weekend, @sdianahu! My first in a basketb...
Thanks for an engaging conversation at @ChaseCenter last weekend, @sdianahu ! My first in a basketball arena! Y Combinator @ycombinator 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 🔗 View Quoted Tweet 💬 3 🔄 2 ❤️ 13 👀 2034 📊 4 ⚡
- Y Combinator07-30 21:17原文