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 the organizations allow it, AI could very easily implement features end-to-end and do a fairly good job for things that you want to try.”
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
…It’s just that the problem with websites and the problem with the web, you know, HTML and all that kind of stuff, it’s very resilient to just— slop. It will show you slop. It’s good at showing slop. I would rather think of safety-critical systems, like asking AI to end-to-end generate something that manages logistics— or manages cars— a fleet of cars, all that kind of stuff. So it end-to-end generates that for you. I think a more intermediate example is take something like Slack or Microsoft Word. I think if the organizations allow it, AI could very easily implement features end-to-end and do a fairly good job for things that you want to try. You want to add a new tab in Slack that you want to use, and I think AI will be able to do that pretty well. Actually, that’s a really great example. How far away are we from that?…
Stored transcript either side of the excerpt. The highlighted words are the published quote; the surrounding text is unedited source, never generated.