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.

Appearances

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we're probably still gonna roll out that new model, right?
We might tweak some props and stuff to to try to make it work better, but we're probably gonna still roll out that new model.
So we've just sort of accepted that like we're gonna be on that anthropic for a while and we're always gonna roll out the new model as quickly as it comes out.
And
So we need some approach that works in that environment.
The other thing to consider is our product is changing so fast that anything that we put in that could constrain our ability to move quickly is going to come with real business costs.
So, you know, the this entire product is only we only started running code in June.
Um it's evolved tremendously over that time.
It's going to continue evolving tremendously, and our users are very clear.
That the thing they want above all else, and I I mean this above you know above reliability and security and you know all the normal things you want is they want the smartest, most capable thing.
Um and they've been you know I've had lots of calls with people where you know we're talking they're asking about SOC two and we're like, Yeah, we don't have SOC two for this yet, right?
And you know, if you had to choose between SOC 2 or it being a little smarter, basically it's always like, well, don't tell it compliance.
I fought it to be a little smarter.
So that's really where our focus is, is like moving quickly, being smart.
Um and evals is uh is not beyond our own dog food, he's not part of that right now.
So we do do a lot of testing, don't get me wrong, but it's all like we have a whole bunch of triggers that run for our own internal usage, and we basically roll stuff out to our internal team first.
We give it some time, see how it goes, and then if it feels good, we roll it out wider.
Um and it in
Shortwave we do um uh basically experiments based rollouts.
So we allow power users to like opt into things, we look at retention rates in the new features and roll them out.
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