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 monthsRecordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.
Appearances
you can do.
I mean, ideally, you get rid of the imitation.
Yeah, the imitation learning.
But yeah, we essentially realized that we could get so far on just imitation learning.
The way to look at it is we essentially like let's let's take the element analogy.
We essentially have sort of the Internet or like common crawl, if you will.
And every single lab is trying to simulate that.
In order to get similar data, in order to train their agents.
And so for us, the reason why we stayed independent and we just did our own thing was we think we can essentially leap every single company that's forced to either be consumers of world models or build world models and take this foundation model bet for spatial support agents and be in a place where we have a lot of customers years before any of the labs even get there.
And maybe the most similar comparison is like what Anthropic did with code, right?
Anthropic just focused really, really hard on nailing the code use case.
Their models are incredible for it.
A lot of their customers use it for it.
So we just want to become incredible at this spatial temporal agent use case.
And likely that starts in like game simulation and then using role models, we can then start expanding out to other areas.
So would
Games and simulation.
I would specify it as game engines in Verticolor.
So even if you're, for instance, simulating human behavior in Omniverse because you're trying to create better training data for factory floors, you can use it.
Maybe Meta has a similar data set because of the quest.
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