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
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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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And based on the action that you take generates the next states, right?
So the next frame.
And so it is a much more sort of complex problem than traditional video models.
So to me, it is a world that is accurately generated based on the actions that you take as a result of what's already been
Yeah, I think the interactions is the most important part.
I think the reasons why world models are so fascinating, one of the things that I did when...
I was studying over the summer was I tried to actually build a super rudimentary PyTorch-based physics engine, which I would not recommend writing a physics engine in PyTorch for obvious reasons, but I wanted to be able to, because it's differential, so you can generate the derivative a little bit.
Yeah, exactly.
And then you can train.
And so I got so many people ask me about why aren't you just simulating or generating this data?
And I really wanted to understand from first principles why.
And I think the most important thing that I figured out was
The compute complexity of simulation goes up really, really rapidly with three variables.
First, the numbers of agents in an environment.
Second, their DOF, so their individual...
freedom.
Yeah, and then third, the information that each action reveals.
So, like, for instance, if you have a text...
action or a speech action, the environment can change so much based on whether you say, right, water or fire, that the outcomes are going to be completely different of like how a human would behave in that type of situation.
And so it goes up so quickly with those three variables, that at some point, you just hit a point where you just want to maximally bet on either video transfer or generation of these environments using world models, because that type of stochasticity is just incredibly difficult, but it's already very, very present in a
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