code
10 statements across 8 episodes · 7 bullish · 1 bearish · 8 people on the record · first statement Oct 21, 2023 by Kanjun Qiu · across every show →
Everything said about code, oldest first
Oct 21, 2023 bullish
Oct 21, 2023 bullish
Qiu: Code is the most explicit reasoning curriculum for AI models
“Code is the most explicit example of reasoning data on the internet. Yeah. And it's not only structured, it's actually very explicit, which is nice. You know, it says this variable means this and then it uses this variable and then the function does this. Like…”
Sep 27, 2024 neutral
Harrison Chase says developers should guide agent planning explicitly in code
“Sometimes I say that like the LLMs aren't
[4137] Great at planning yet.
[4138] So we can help them plan by telling them how to plan and code.
[4140] Cause that's very explicit and that's a good way of communicating how they should plan and stuff like that.”
Dec 25, 2024 negative
May 29, 2025 bullish
May 29, 2025 positive
Grinberg: Code is uniquely viable for AI agents due to verifiable ground truth
“Code is one of the very few things, especially at the time that you could actually validate. And so you could have that agentic loop where the LM is generating the output and you're actually, you know, verifying in ground truth, the quality of that output.”
Jul 31, 2025 neutral
Lambert: RLVR is harder to over-optimize on math than code
“For math, it's a bit harder to over optimize, I think. Unless you have tools and the model learns to search and cheat instead of learning math, which I'm sure somebody could see that out in the world, which is like, oh, I'll just find the, you're training. It'…”
Sep 30, 2025 bullish
Mar 5, 2026 bullish
Levie: AI agents will generate 10 to 100 times more code
“But no matter what, there's going to be 10 to a hundred times more code. So I think you can be very long engineering right now as just a, you know, purely on the dimension of software is going to become increasingly more important. Once agents are, you know, t…”
Apr 2, 2026 positive
Sun: Code modifies physical rules better than purely data-driven models
“But it's a lot easier to change with code, as opposed to a model that is Learned primarily on data of real world and virtual worlds that are, I guess, like for example, junior, like there's actually trained on a lot of real world data and a lot of virtual gami…”