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.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.

Appearances

newest first · ▶ plays the moment

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

When people upload it onto their platform, they say, oh, good, it's a crash.

And so we can select all these events.

And if we can put them inside a world model, we can train reward models to then reward based on how you perform in clips that actually contain negative events, for example.

And so for us, it's very much about, right, we can create this LLM moment of implementation learning, but actually making every single clip on the platform playable at billions of clips scale is how we go from implementation learning to RL.

Cool.

stuff?

Yeah, I think for us, this is a very, very ambitious long-term vet.

We need the best researchers in the world that want to work on this stuff.

It's really exciting not being extremely data-constrained.

We get so many learnings every week that we didn't think were possible, and it makes it for a joy working here.

Also, the other thing is because we have such a large data moat, we don't have to be as concerned as the LLM companies about publishing because we don't want to be able to.

just announced our partnership with Qtai in France, which is an open science lab in Paris, one of the best research labs in the world.

Eric Schmidt, I believe, funded it in addition to some French people.

They are essentially acting as

The partner that's currently doing a lot of open research on the data.

We also want to partner with universities who, because like, we do believe this is the frontier, but it's so data constrained that really no, everyone has their hands tied behind their back right now.

And so we want to help fix that.

So for instance, we want to work with universities to build like negative event prediction models for maybe like trucks in India on all the truck data where all these crashes occur.

We have all these things that we know we can do that we just have it at the time to do.

And so if you're listening to this and you're maybe an academic institution or something and you want access to some of this data in a research, in an educational research fashion, I think we're quite open to doing that because we want to educate people.

Showing 681–700 of 720 · page 35 of 36