Andrew Lee

speaker
2,833 appearances 3 recordings 1 series first heard Mar 2025 last heard 15 May

Andrew Lee’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
1 · May OctJan 26AprJulnow

Recordings per month over the last 12 months — 2 in all, peaking in May 2026 with 1.

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fixed amount of time over the over the model exponential, which is like maybe cool but not amazing.
Um but it might make a significant difference in in cost and um
You know, other attributes, cost and reliability and the ability to like do oversight and and and speed.
Uh, and I think those things matter a ton for a commercial product.
So like in our case with our harness, like the benefits you get are, you know, you have a nice UI and like the sidebar pops out at the right time to like show you things and you get you know nice indications of like working states.
You can like see what it's
it's doing at the time and you get the ability to like have things persisted across long periods of time and you get nice performance trade-offs and cost trade-offs.
And uh I think those things should not be underestimated for like a commercial product.
Okay, so as a if I can if I can interject here, like as a good ex example of and I I don't even know if you've called this a a harness, but like you see what uh what Anthropic is doing with their I think they call it like a supervisor agent or
Forget exactly the language they use.
But basically they have a system where you can inject a tool that allows a smaller model to call up into a bigger model.
And this is a relatively new thing that they've been talking about.
And like you basically can get close to the bigger model's performance, but like do the vast, vast majority of work on a smaller model.
And like that's a huge that's a huge win.
And like if you have those capabilities, why not?
Yeah, th this is actually this is very much on my mind right now.
Um I I think ideally as little as possible because we want to support a lot of models and like it's hard to have a thing that, you know
Well it's hard to maintain across both balls, but we also want to have the ability for these agents to like switch between models.
And so if you're like, hey, you can run an opus this way and it persists this state, but then you switch over the same agent to some other model and suddenly you have to find a way to like translate things, it gets really complicated.
So we'd like to keep them as similar as possible.
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