YouTube

What Big Tech Missed And How Startups Can Still Win

Brief

Alexandre LeBrun delivered a presentation at Startup School Paris (2026-07-25) recounting his path from Vertos and the Wit.ai acquisition to building AMI. The talk combined founder advice—focus narrowly, think decades ahead—with technical argumentation favoring embodied world models for robotics over VLA-style shortcuts, plus discussion of recruiting, splitting research vs execution, and fundraising.

Why it matters

Alexandre LeBrun (AMI CEO, ex‑Vertos founder who sold Wit.ai to Facebook) spoke at Startup School Paris on 2026-07-25 and urged founders to pick an extremely narrow problem while maintaining an extremely large, 20‑year vision—"always 20 years too early" was a recurring theme.

Key details

  • Technically, LeBrun argued for building embodied "world models" ("train like a baby, not a reader") for robots rather than relying on VLAs, which he called a bad hack; he acknowledged areas where LLMs still win and explained why large labs avoid the riskier world‑model approach.
Source evidence

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

Channel: Y Combinator
Published: 2026-07-25
Video URL: https://www.youtube.com/watch?v=FVsgX0AdDTo