Jesse Zhang
speaker
452 appearances
1 recordings
1 series
first heard Jul 2026
last heard 31 Jul
Jesse Zhang’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 Jul 2026 with 1.
Appearances
It's like we're testing it on our task.
And so we have to generate our own benchmarks and evals.
But I think the point is that at a certain point, it's strictly better to use open source models because it's,
when your use case is solidified and you're in production at scale and you're pretty sure this is the sort of shape of the agent, then there's no reason not to use open source because you get these latency benefits and at the same time you get the cost benefits.
I mean, again, we didn't do these for cost benefits, but that's a nice side effect, right?
And once you're there, it's like, why use Frontier for that?
But for everything that's new and sort of experimental or you're, as Ashwin was saying, or like kind of these products where you really need the intelligence, you're still going to use Frontier models.
And it's just so much easier to use frontier models.
Don't worry about the infra, you just use the APIs.
And I think that's why in enterprises right now, even though there's a lot of hype for open source, the sort of share of open source inference is actually going down right now because people are spinning up all these new use cases.
And if you're spinning up new use cases, of course you're going to use the frontier models until they're working.
But of those use cases, some might die off, but like some might, like the enterprises are like, okay, great.
We want to keep shipping this and roll it out.
Once it's at that point, they're heavily incentivized to use open source.
It's way cheaper and faster.
At that point, maybe they can do it in-house or maybe they'll need help from people to help them fine tune it.
But that will eventually happen.
I just think it'll be kind of slow.
Even right now in our experience, like enterprises have a lot of desire to move.
But they can only do so many use cases at once.
Showing 61–80 of 452 · page 4 of 23
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