What happens when AI agents can design experiments, collect data, and improve — without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of models, the future of engineering and education, thinking about impact on jobs, and his project AutoResearch: where agents close the loop on a piece of AI research (experimentation, training, and optimization, autonomously).
00:00 Andrej Karpathy Introduction
02:55 What Capability Limits Remain?
06:15 What Mastery of Coding Agents Looks Like
11:16 Second Order Effects of Natural Language Coding
15:51 Why AutoResearch
22:45 Relevant Skills in the AI Era
28:25 Model Speciation
32:30 Building More Collaboration Surfaces for Humans and AI
37:28 Analysis of Jobs Market Data
48:25 Open vs. Closed Source Models
53:51 Autonomous Robotics
1:00:59 MicroGPT and Agentic Education
1:05:40 Conclusion
