Pim de Witte

speaker

720 appearances 1 recordings 1 series first heard Dec 2025 last heard 6 Dec

Pim de Witte’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 Dec 2025 with 1.

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Latent Space: The AI Engineer Podcast · World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI · 6 Dec 2025 podcast

Correct.

there's benefits to the action space being small to start with.

So I think we're going to start with anything you can control using a game controller.

But yeah, long term, we want to actually predict maybe like action embeddings and have models sit inside a general action space to be able to transfer out to other inputs as

Yeah, so there was the diamond paper, there was Gini, and then there was Simba.

The diamond paper for me was really interesting because they had actually managed to get this

world model called diamond running on a consumer gpu i believe it was a 4090 at 10 fps and you could play it and they did that on like 90 hours of data like 95 hours i think it was 87 hours and i think eight and a whole that's that or something like that

That was just incredible, right?

That they had something playable on that little data.

So I actually cold emailed the entire group of students and I told them, hey, I think we have this thing.

And then it was pretty interesting.

So like right when that happened, a lot of the labs also started understanding what we had.

And so we started very aggressively, multiple labs tried to bring us in in various ways.

And they were part of that.

Like they basically were seeing that happen.

And I think for them, that also kind of like solidified how real it was.

And then when we chose to do our own thing, you know, initially we thought that we were going to have to just work on role models, right?

So we thought, okay, the main benefit of this data set is, like Jeannie, is role models.

What we didn't realize at the time is that we have so much of this data so we can essentially do these role models in parallel and take the equivalent of like the LLM bet, mostly on imitation learning, and then use the role models after that to get into like our offstage, right?

And so for

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