Jeff Dean: The 1% Rule for Building in AI

Y Combinator

Resumen

Jeff Dean, Google's Chief Scientist, explores the evolution of AI systems, emphasizing the shift toward agent-based architectures, specialized hardware, and context engineering. He reflects on his career, from building MapReduce and the TPU to current work on Gemini and AI-driven scientific discovery, while offering practical advice for founders on how to apply napkin math, cultivate professional taste, and tackle complex problems through iterative, self-improving loops.

Capítulos

  1. 0:00Introducción y Agentes en IA
  2. 2:42La Regla del 1% y TPUs
  3. 9:54Latencia en IA y Contexto
  4. 18:49Agentes y Optimización de Modelos
  5. 25:23Estrategias para Startups en IA
  6. 39:30Experimentos Mentales y ML Automatizado
  7. 47:45Carrera en IA y el Futuro

Temas tratados

  • Agent-Based Systems
  • Napkin Math

+4 temas más (contenido completo al seguir el canal)

Extracto de la transcripción

All right. Should we go Should we get started, Jeff? >> Sure. Sounds great. >> All right. Jeff, welcome. And again, thank you so much for being here. Especially I just got a cold and thank you for being here. >> Yeah, I'm afraid I've lost my voice. I don't normally sound quite like this, but we'll we'll do what we can. >> So, um, you built map reduce, big table, tensorflow, the TPU, Gemini. We could spend a whole hour on all the things you've done, but what I love is that you're still making bold predictions in public. Last year, yes, last year in May 2025 at AI Ascent, you said that AI is at the level of a junior engineer. That was about a year ago. It's been How close are we to that prediction? Yeah, I mean I feel like uh the models have been getting a lot better at sort of agent-based longer running coding tasks and it seems pretty clear that they are now actually pretty capable and d…