Evidence receipt / belief
Published · transcript-backedNathan Lambert: belief
1 Feb 2026 Lex Fridman Podcast #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
“I think if you think of it over 100 years, society can be changed more with more compute and intelligence because of autonomy.”
Source trail
Everything needed to verify it.
- Speaker
- Nathan Lambert
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 1 Feb 2026
- Publisher
- Lex Fridman Podcast
Transcript context
…And it very well could be that the neural networks, the way we architect them now, are just a small component of the system that leads to the singularity. I think if you think of it over 100 years, society can be changed more with more compute and intelligence because of autonomy. But looking at this, what are the things from the Industrial Revolution that we remember? We remember the engine—it is probably the equivalent of the computer in this. But there’s a lot of other physical transformations that people are aware of, like the cotton gin and all these machines that are still known—air conditioning, refrigerators— Some of these things from AI will still be known; the word “transformer” could still very well be known. I would guess that deep learning is definitely still known, but the transformer might be evolved away from in 100 years with AI researchers everywhere. But I think deep learning is likely to be a term that is remembered. And I wonder what the air conditioning and the refrigeration of the future is that AI brings. If we travel forward 100 years from now, what do you think is different? How does the world look? First of all, do you think there’s humans? Do you think there’s robots everywhere walking around?…
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