Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI
Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI
Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI
Shownote
Shownote
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 Aut...
Highlights
Highlights
Andrej Karpathy discusses his evolving relationship with AI, from delegating most of his coding to agents to exploring autonomous research. He shares insights on the current limits of AI, the future of engineering, and the potential impact on jobs and education.
Chapters
Chapters
Andrej Karpathy Introduction
00:00What Capability Limits Remain?
02:55What Mastery of Coding Agents Looks Like
06:15Second Order Effects of Natural Language Coding
11:16Why AutoResearch
15:51Relevant Skills in the AI Era
22:45Model Speciation
28:25Building More Collaboration Surfaces for Humans and AI
32:30Analysis of Jobs Market Data
37:28Open vs. Closed Source Models
48:25Autonomous Robotics
53:51MicroGPT and Agentic Education
1:00:59Conclusion
1:05:40Transcript
Transcript
Sarah Guo: Code's not even the right verb anymore, right? But I have to express my will to my agents for 16 hours a day. Manifest.
Andrej Karpathy: How can I have not just a single session of plot code or codex, or some of these agent harnesses? How can I...
