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Andrej Karpathy — “We’re summoning ghosts, not building animals”

2025-10-17 Science & Technology
630.9k
17.3k
1.4k
Dwarkesh Patel
Dwarkesh Patel
1.3m subscribers

Karpathy on Agents, RL Failures, and the Incremental Path to AGI

Understand why true AI agents require a decade of work, why Reinforcement Learning is often a dead end for complex intelligence, and how future economic growth will integrate AI incrementally rather than cause a sudden explosion.

Short Summary

  • Stabilize Agent capabilities by solving fundamental cognitive deficits like continual learning.
  • Recognize Reinforcement Learning (RL) as inherently "terrible" due to its reliance on sparse, outcome-based supervision.
  • Foresee AGI adoption blending smoothly into historical economic growth rates, contrasting popular "explosion" narratives.
  • Prioritize education that builds conceptual models (like physics training) over mere rote knowledge accumulation.

Karpathy frames the current state of AI as being in an intermediate stage, requiring immense effort to transition from impressive demos to reliable, high-fidelity production systems. The conversation dissects critical bottlenecks in RL methodology, LLM architectures, and the deployment challenges exemplified by self-driving cars. Ultimately, he argues that true progress demands a deeper focus on foundational cognitive structures over mere scaling, particularly in preparing humanity for the resulting changes via education.

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Description

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. 𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊𝐒 * Transcript: https://dwarkesh.substack.com/p/andrej-karpathy * Apple Podcasts: https://podcasts.apple.com/us/podcast/andrej-karpathy-agi-is-still-a-decade-away/id1516093381?i=1000732326311 * Spotify: https://open.spotify.com/episode/3iIYVmmhXwh3fOumypWVpC?si=33d37708b2b44e2f 𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒 * Labelbox helps you get data that is more detailed, more accurate, and higher signal than you could get by default, no matter your domain or training paradigm. Reach out today at https://labelbox.com/dwarkesh * Mercury helps you run your business better. It’s the banking platform we use for the podcast — we love that we can see our accounts, cash flows, AR, and AP all in one place. Apply online in minutes at https://mercury.com * Google’s Veo 3.1 update is a notable improvement to an already great model. Veo 3.1’s generations are more coherent and the audio is even higher-quality. If you have a Google AI Pro or Ultra plan, you can try it in Gemini today by visiting https://gemini.google To sponsor a future episode, visit https://dwarkesh.com/advertise 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 00:00:00 – AGI is still a decade away 00:30:33 – LLM cognitive deficits 00:40:53 – RL is terrible 00:50:26 – How do humans learn? 01:07:13 – AGI will blend into 2% GDP growth 01:18:24 – ASI 01:33:38 – Evolution of intelligence & culture 01:43:43 - Why self driving took so long 01:57:08 - Future of education

Top Comments (10)

@the_bond___0 2025-10-17

Just realised it's not running on 2x lol

3.9k 119 replies
@vineetgundecha7872 2025-10-17

Karpathy's tokens/sec is breaking my context window

3.3k 47 replies
@LosNairobi 2025-10-17

Am a simple man,, I see karpathy and dwarkesh i clear my schedule

865 13 replies
@TheRealFrankGrimes 2025-10-17

I never realized there was a 0.75x speed option until I went looking for it.

614 5 replies
@alltheseworlds 2025-10-18

The density of thought is astonishing.

285 2 replies
@jaco5790 2025-10-21

Bros brain is overclocked he’s going at 1.5 speed 💀

153 2 replies
@huliwood 2025-10-21

That awkward feeling when you're so smart that you can condense incredibly complex information into a short, yet dense one-liner that makes the other listener wonder if we're the same species.

106 2 replies
@hritiktiwari3943 2025-10-19

I don’t know about you guys but Karpathy’s laugh always puts a smile on my face

48 3 replies
@rahulrk6985 2025-10-20

Karpathy doesn't just build AI, he coins the entire vocabulary we need to even understand it. The man is an analogy machine.

47 2 replies
@preetham_cs 2025-10-20

I felt bad for not being able to follow the pace of their conversation until I opened the comment section.

47

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