Evidence receipt / belief
Published · transcript-backedEdwin Chen: belief
7 Dec 2025 Lenny's Podcast The 100-person AI lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI)
“Again, going back to the example I said earlier, certain companies, if you ask them what is good poem, they will simply robotically check off all of these instructions on our list. But again, I don't think that makes for good poetry, so certain frontier labs, the ones with more taste in sophistication, they will realize that it doesn't reduce to this six set of checkboxes and they'll consider all of these kind of implicit, very subtle qualities instead, and I think that's what makes them better at this at the end of the day.”
Source trail
Everything needed to verify it.
- Speaker
- Edwin Chen
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 7 Dec 2025
- Publisher
- Lenny's Podcast
Transcript context
…And I could see why companies like yours are growing so fast. There's just so much... And that's just one vertical. That's just coding, and then there's probably a similar area for writing. I love that it's... It's interesting that AI, it feels like this artificial computer binary thing, but it's like taste. Human judgment is still such a key factor in these things being successful. Yep, exactly. Again, going back to the example I said earlier, certain companies, if you ask them what is good poem, they will simply robotically check off all of these instructions on our list. But again, I don't think that makes for good poetry, so certain frontier labs, the ones with more taste in sophistication, they will realize that it doesn't reduce to this six set of checkboxes and they'll consider all of these kind of implicit, very subtle qualities instead, and I think that's what makes them better at this at the end of the day. You mentioned benchmarks. This is something a lot of people worry about is there's all these models that are always... Basically, it feels like every model is better than humans at every STEM field at this point, but to a regular person, it doesn't feel like these models are getting that much smarter constantly. What's your just sense of how much you trust benchmarks and just how correlated those are with actual AI advancements?…
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