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Jeff Dean: The 1% Rule for Building in AI 58 min 
An Acorn Season | Minuscule | 55' Compilation 45 min 
4 Days in Ho Chi Minh City 🇻🇳 | Best Food in Saigon, Coffee Shops & Shopping Guide (2026) 35 min 
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Jeff bridges called me today. 🤯 3 min 
My Living Alone Diaries | A Day In My Life 16 min 
Rainy week in Tokyo | New Neighbourhoods, Shopping, Souvenir Guide & Café Hopping 59 min 
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DeepMind’s New AI Found A Strange New Way To Think 8 min 
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The Steam-Cooled STEAM Machine 26 min 
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DeepSeek Just Made Closed AI Look Ridiculous 6 min 
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$10,000 Power Washer! 1 min 
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WWDC 2026 - Siri AI Impressions! 15 min 
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My Son Needs a New Laptop 20 min 
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Google Pixel 11 Hands on - The Phone Crisis Begins. 14 min 
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2049 4 min 
Swimming Against Man-Made Waves 1 min 
INERTIA 2 min 
BURDENS 3 min 
DRAWN OUT LIKE AN ACHE 5 min 
Google Pixel 11/Pro Review: Poker Face 13 min 
DLSS 5.0 is out... kinda. 1 min In 2001, Jeff Dean 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 Diana Hu 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. Transcript: https://www.ycrootaccess.com/p/jeff-dean-the-1-rule-for-building Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — Intro 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
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