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
Insight
Qiu: Synthetic code data can improve reasoning better than human code
“Code also is a big piece of improving reasoning. So yeah generated code is not That much worse than, like, regular human written code. You might even say it could be better in a lot of ways.”
Kanjun Qiu Oct 21, 2023 ▶ 22:17 Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Oct 21, 2023 bullish
Insight
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…”
Kanjun Qiu Oct 21, 2023 ▶ 36:16 Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Sep 27, 2024 neutral
Insight
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.”
Harrison Chase Sep 27, 2024 ▶ 1:08:52 Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
Dec 25, 2024 negative
Insight
Neubig: RAG From Natural Language To Code Does Not Work Well
“At least in my experience, rag from language to code doesn't work super well.”
Graham Neubig Dec 25, 2024 ▶ 46:09 Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
May 29, 2025 bullish
Insight
Grinberg: LLM coding capability directly boosts performance on all downstream tasks
“Capability in code is really core to performance on any LLM and like loosely, the better any LLM is at code, the better it is at any downstream task, even that's like writing poetry.”
Matan Grinberg May 29, 2025 ▶ 2:57 The AI Coding Factory
May 29, 2025 positive
Insight
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.”
Matan Grinberg May 29, 2025 ▶ 3:23 The AI Coding Factory
Jul 31, 2025 neutral
Insight
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'…”
Nathan Lambert Jul 31, 2025 ▶ 57:25 The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
Sep 30, 2025 bullish
Opinion
Krieger: Knowledge work AI progress follows code's exponential curve on a delay
“And I think of knowledge work as being on a similar sort of exponential as code has been on, but just time shifted, right?”
Mike Krieger Sep 30, 2025 ▶ 19:50 ⚡️Claude Sonnet 4.5 and Anthropic's roadmap for Agents and Developers — Mike Krieger, Anthropic
Mar 5, 2026 bullish
Prediction Not checkable as stated
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…”
Aaron Levie Mar 5, 2026 ▶ 1:16:24 Why Every Agent Needs a Box — Aaron Levie, Box
Apr 2, 2026 positive
Insight
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…”
Fan-yun Sun Apr 2, 2026 ▶ 42:00 Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun
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