Eiso Kant

speaker

1,158 appearances 1 recordings 1 series first heard Jul 2026 last heard 23 Jul

Eiso Kant’s voice in public audio — every appearance, attributed to the second.

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

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Latent Space: The AI Engineer Podcast · Inside the Model Factory — Eiso Kant, Poolside AI · 23 Jul 2026 podcast

And we said, well, why don't we take some of the world's smartest distributed systems engineers that we knew and make them part of the process of research from day zero?

Not retrofitting it later on, but like really from the beginning.

And that became our model factory.

And so our model factory started with a handful of components.

Today, it's thousands of components.

And I kind of try to equate it to if you think about like someone who was at the very early days of Foxconn, if they had been there for the following, you know, decade.

they would be able to rebuild Foxconn because they saw every decision that led to building that system and all the complexity.

If you and I walk into Foxconn today, no chance, right?

Because we don't have the lineage and history of decisions that led to that.

And so we kind of built early on from the beginning

With a team that really understood that, well, the metric that we are optimizing for is the speed of an idea from a researcher to an experimental result that we can trust to then being part of the next model training.

And because it's such an experimental science, ultimately, in the beginning when it wasn't that complex, you could kind of patch your way around it, right?

But now at any foundation model company, you are running, I mean, we're a small team, right?

We're less than 70 researchers, another 35 engineers.

And we are running, I haven't checked the latest count, but far more than 10,000, maybe 10 to 20,000 experiments a month.

And so if you look at that skill of every model run that is like it's ultimately it's you need to be able to trust it as an infra problem.

And so what we have now done over the years has gotten really good at that.

And just by working it and improving it and obsessing over those kind of end to end decisions.

So now what that means is that you looked up Laguna XS2 that we launched.

It was five weeks from the beginning of pre-training to launch.

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