Andrej Karpathy - "We're summoning ghosts, not building animals"
Andrej Karpathy and Dwarkesh Patel discuss the gaps between impressive model tests and dependable agents, reinforcement learning, how humans learn, coding and the future of education. Karpathy explains his decade-scale AGI outlook and argues that progress may fit into a long economic growth curve. His timelines and growth scenarios are opinions from October 2025.
Executive Summary (TL;DR)
Karpathy sees real progress and major remaining gaps in model memory, learning and cognitive reliability. He explains a decade-scale AGI outlook, criticizes the crude feedback available in reinforcement learning and compares human reading with active thinking rather than token prediction. Coding is a natural early application because it is text-based and has abundant data. He imagines AI helping faculty build courses and answer basic questions. The interview presents his views and scenarios, not settled timelines.
Key Takeaways
A long career shapes his timeline estimate
Karpathy grounds his decade-scale AGI view in years of watching predictions meet real research and deployment. He does not deny progress; he points to unresolved problems and the difficulty of turning demonstrations into general capability. His timeline is an informed opinion in October 2025 rather than a schedule anyone has established.