Subvolts take AGI is a decade out, but AI's impact will be gradual and profound. Oct 17, 2025 - Developers
- Learn about the limitations of current AI learning methods like reinforcement learning and future research directions.
- Business
- Understand the long-term economic integration of AI and its gradual impact on GDP growth.
- Everyday users
- Get a realistic perspective on when advanced AI might significantly change daily life.
This is a solid interview with a prominent AI researcher discussing the future of AGI and AI development.
Andrej Karpathy — AGI is still a decade away
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Andrej Karpathy joins the Dwarkesh Podcast to discuss the future of AI. He estimates AGI is still a decade away, explaining why reinforcement learning is problematic and how future AI will integrate into economic growth. The episode also covers human learning, the evolution of intelligence, and the challenges of self-driving technology.
AI expert Andrej Karpathy thinks true artificial general intelligence is still about ten years away. He explains why current AI learning methods are tricky and how future AI might slowly change the world, much like past technological advances.
This episode offers deep insights from a leading AI researcher on the timeline for AGI and the technical hurdles involved. It's for anyone interested in AI's long-term trajectory, from researchers to enthusiasts. Karpathy's perspective on AGI's integration into economic growth and the difficulties in areas like self-driving provides context for current AI development at labs like Google Gemini and OpenAI.
- HostDwarkesh Patel
- GuestAndrej Karpathy
- Guest: Andrej Karpathy
- Title: AGI is still a decade away
- Show: Dwarkesh Podcast
- Length: 145 minutes
- AGI Timeline Estimate: A decade away
- Reinforcement Learning Assessment: Terrible
The Andrej Karpathy episode.
During this interview, Andrej explains why reinforcement learning is terrible (but everything else is much worse), why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education.
It was a pleasure chatting with him.
Watch on YouTube; read the transcript.
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Timestamps
(00:00:00) – AGI is still a decade away
(00:29:45) – LLM cognitive deficits
(00:40:05) – RL is terrible
(00:49:38) – How do humans learn?
(01:06:25) – AGI will blend into 2% GDP growth
(01:17:36) – ASI
(01:32:50) – Evolution of intelligence & culture
(01:42:55) - Why self driving took so long
(01:56:20) - Future of education
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
- AGI
- Andrej Karpathy
- Artificial General Intelligence, AI that can perform any intellectual task a human can.
- reinforcement learning
- Andrej Karpathy
- A way AI learns by trial and error, getting rewards for good actions and penalties for bad ones.
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Questions people ask
- When will AGI arrive?
- Andrej Karpathy estimates AGI is still a decade away.
- What are the challenges in AI development?
- Karpathy discusses why reinforcement learning is problematic and explains the long development time for self-driving technology.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Dwarkesh Patel.