OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents
Source
youtube.com
Author
Sequoia Capital
Date
Why it matters
Makes the case that optimizing a model directly for the target outcome beats gluing together models not trained end to end, which informs how agents get built.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.