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.

Trend

recordings per month · last 12 months

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

Appearances

newest first · ▶ plays the moment

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

So it is not a harness that is designed to try to do well on a benchmark or try to do well on a certain subset of things, right?

It's not a deep research harness.

So I think we see incredible ability for complex harnesses that built lots of prompts around and extra data sources and other tools to really push capabilities of models forward.

But our model is still better than some other harnesses who do that in coding-like tasks because it was RL'd with it.

Now, I do encourage people, I think our model, by the way, is perfectly fine and good in ours.

The differences are probably maybe too small for anyone to notice, but we see it ultimately still on benchmarks.

uh by a little bit so i think it's both are true foundation model companies with their harnesses will really push them because it's just operationally frankly the best way to have scientific rigor in improving your models but also someone who takes our model and really does a lot of work on improving a harness is going to outcompete us as they should and that's just because the harness is the stop gap between what the model is capable of

and what it needs as additional instructions, and what it needs as access to data and tools.

And that's ultimately, I think, what a harness is.

It's like, is it able... As you build more capable models, you're improving the instruction following the models.

And so additional harness is just saying, hey, if you encounter X, Y, or Z, behave this way.

And so even if you would say that two models with two different harnesses can equally reach the same capability that you care about, a harness that is really tailored towards a capability will do it more efficiently.

It's kind of like a person who's getting a manual of how to do the task in the most efficient way with the right tools and the right data sources versus a really smart person that go figure it out.

They'll both solve the task, but one will do it a lot more efficient.

So I'm a big fan of all the harness development that's happening in the world.

And we want to work with more harness like creators to also make sure that like if it needs some additional training, like publishing that we will do it.

Or neither.

So I raced AGI.

Coding for us since day zero of our website has been, and we've said this over and over again,

We think focusing on coding and long horizon software tasks is a path towards AGI because it forces us to solve the hard problems.

Showing 641–660 of 1,158 · page 33 of 58