Jesse Zhang

speaker

87 appearances 1 recordings 1 series first heard Sep 2026 last heard 17 Sep

Jesse Zhang’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

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

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TBPN · Snap Launches Specs, Paramount Eyes Nashville, Japan's Monks Turn to Investing, New Clip from 'The Social Reckoning' | Aaref Hilaly, David Gross, Max Junestrand, Chase Lochmiller, Jesse Zhang, Nilam Ganenthiran & Leonard Tang, Joe Weisenthal · 17 Sep 2026 podcast

People are moving pretty quickly.

We need to be on the ground.

And so that's that's what prompted us building a team out there.

Yeah, uh there's there's kind of two dimensions there.

So on the cost side, and typically what you do is you first get your product working and then once it's working, you realize that most of the model calls you do don't need the entire model because the model does a ton of stuff, right?

So you don't need it to

Compute math for you, for example.

And so

Then the intuition is like, Okay, well over time I should be able to do that.

Yeah.

And so um yeah, so over time you want to shrink the models and then you it then it's more of a question of like, okay, is that possible?

Can you take a smaller model and and fine tune and post train it to perform at the same level?

And so far I would say in our use case the answer has been yes, right?

There's a lot of these small tasks that are done inside the brain of the agent, like you know, choosing a topic or detecting for hallucinations or whatever.

And so you can use small models and sp specifically open source models to do those.

But when you're when you're launching new products and kind of trying new capabilities, of course the frontier makes sense.

And so those those two go hand in hand.

And then for us, uh latency also matters a lot.

So we we talk a lot about how you know you have to

Not just optimize costs, like l optimize latency matters even more to us, probably.

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