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 · last 12 months

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

Appearances

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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

And the reason is, like, at training time, having the actual keys is noise anyways.

Like, if there is sex in the screening, you would want to, in theory...

make that part of the training then like reading text from a frame is like really easy and so for us if we actually can so we convert basically hit you hit the the input we convert it to the actual action so we had thousands of humans label every single action you can take in every single video game over the past year and a half which is an enormous amount of action labels yeah so when you act you we get the actual action itself and then

It being said, at training time, you can, for the general set of that game, convert back into computer inputs if you want to, but you can never do it for any individual person.

And so that, for us, from a design perspective, was important.

So we figured all that stuff out.

Then we actually started pushing...

Like we already had features as well with this.

So for instance, like gamers already love to be able to navigate their clips by like things that happened.

So we have an events capture system and we also have the overlays where you actually just want to overlay and render the actions on top of your clip.

We developed kind of in tandem with the feature set itself.

And then obviously when World Bottles became a thing and it's very, very clear that all the data for this was precisely like that sequence.

Yeah, we were able to sort of be first to market, recruit the best researchers and start a lab.

Yeah,

a few things that really worked.

I think the first was a lot of our competitors were focused on solving the social network and a recorder at the same time.

And that never like our bet was really that we could get so many people to record with us that we could bootstrap the network on top of that.

And that worked.

So while everyone was sort of distracted trying to bootstrap a social network, we were just focused on building a really, really good capture tool.

And then we got tens of millions of people to use that, which then we originally bootstrapped a network on top of the share behaviors.

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