Anastasios Angelopoulos
speaker
614 appearances
1 recordings
1 series
first heard Aug 2026
last heard 3 Aug
Anastasios Angelopoulos’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Aug 2026 with 1.
Appearances
and i was telling them about you know products that we have for them and so on and so forth and they said okay wait is anything in your stack built off of quen and i said you know yeah we use quen for xyz and they're like is that flexible can you like stop doing that and use an american model instead and i was like oh interesting totally understand where you're coming from yes we can do that but also i'm going to talk to harry about this tomorrow
Yeah, and he's going to tell me what to do.
Did you see Poolside and Laguna?
Yeah, I saw the Poolside model.
Basically, there's five open source American contenders.
Let's see if I can name them all.
Arcee, Reflection, Mistral in the West, Poolside, Thinking Machines.
And then there's also Google and NVIDIA.
So those are the sort of incumbent large ones.
Because Google has Gemma as well.
Gemma, by the way, is pretty good in terms of efficiency.
If you look at Arena, you'll see that on the Pareto curves of like performance versus cost, Gemma's on there.
Yeah, I absolutely think there's value in the model routing layer.
That's why lots of companies are doing it.
And we'll see which ones end up standing the test of time and which ones are actually a priority for the companies.
I think there's an element of hype cycle right now around routing that needs to be kind of like purged before we see who ends up actually building a great router.
But routing is a very difficult technical problem.
That's the first thing to realize.
Because in order to route, you need to be able to take a query, and then you need to understand the nature of the query, how difficult the query is within its domain, which is hard to tell, and then you need to also understand based on data, all the performances of the different models that are in the serve set,
and also be able to quickly onboard new models that are being released, as we said, every week.
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