Evidence receipt / preference
Published · transcript-backedMia Glaese: preference
23 Feb 2026 Latent Space ⚡️The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals & Human Data
“I think there’s just many, many things that people like value about working with, with software engineering agents.”
Source trail
Everything needed to verify it.
- Speaker
- Mia Glaese
- Attribution
- Verified speaker
- Claim type
- preference
- Recorded
- 23 Feb 2026
- Publisher
- Latent Space
Transcript context
…Yeah, there are dedicated performance benchmarks. I think you guys have one. So, efficiency or is that, is that, oh, no, I think that’s, that’s off your group. But yeah. Yeah, I mean that, that, that is a good one. I think there’s just many, many things that people like value about working with, with software engineering agents. They think Swyx, Swyx bank’s verified, obviously measured like some. Still measures like some important capability, which is like given like a description of a GitHub issue, can you produce like a patch that solves that issue, you know, satisfactorily. And like, obviously there’s like some issues with the, with the benchmark that needs that. Now that we are like 80%, we don’t really trust like further improvements on it, but like it does match on something that is like a via, via like capability of motors. But I think. As a field, we are like moving beyond sort of, you know, can my coding agent like solve a small like GitHub issue for me? Right? And so we are starting to look at like much more long, longer term tasks, right? Like. That don’t take like 15 minutes, but maybe like hour, sometimes days. And then beyond sort of like what kind of tasks can my agent solve? Like there might be things that are kind of a bit harder to grasp, right? Like Olivia talked about sort of like, does it have like design taste, right? Like does it solve the problem the way that you know. My team likes to solve problems. Okay. Is the code nice? Right? Like is it, is it well written? Like, is it sort of like clean code, right? Like people care about these, is it maintainable in the future? People care about a lot of these, maybe less tangible less tangible and like harder to measure, frankly. Things that, that are still like super meaningful for people that are working with coding agents? Yeah, so I mean these are all qualities that are obviously the, no longer the low hanging fruit. Like we have no idea how to eat all this. I think the, the, the simple question maybe that the, that there’s sort of two function road. One is the sort of very human intensive, money intensive path, which is hire a bunch of contractors and try to annotate this. The other is. Use an LLM to to proxy it and try to align the LLM so that it can give you a reasonable proxy. Which of those would you want? I want You wanna do both?…
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