What Big Tech Missed And How Startups Can Still Win

In this talk from Startup School Paris, AMI CEO Alexandre LeBrun talks about his journey building Vertos, selling Wit.ai to Facebook, and why the best advice for early founders is to pick an extremely narrow problem while holding an extremely large vision with the space. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:00 — Intro 00:33 — Same YC batch, four companies later 01:40 — Zuckerberg's email in the spam folder 02:14 — The YC rule on acquisition talks 03:04 — Always 20 years too early 04:45 — Play to your strengths, not the market 05:43 — Why AMI is different 06:46 — What is a world model? 08:31 — Training like a baby, not a reader 09:22 — Robots with actual brains 10:27 — Why VLAs are a bad hack 11:44 — Where LLMs still win 12:39 — World models already in the wild 13:15 — Why big labs can't take the risk 16:12 — Is this still contrarian? 17:03 — How Jan recruited Alex 18:49 — Splitting research vs. execution 20:08 — Raising Europe's biggest seed 22:23 — Expectations are the real price 23:24 — Why not SF? 24:48 — Zuckerberg wanted 10,000, not 100 27:25 — Go narrow, aim massive 28:38 — Outro

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