Pim de Witte

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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

And yeah, and other than that, we just want to work with the best infrastructure and research engineers on the planet as we're going into scaling, you know, runs that have thousands, tens of thousands, eventually hundreds of thousands of GPUs.

In 2030, we want to be the gold standard of intelligence.

And any sequence long enough is fundamentally spatial temporal.

So by nailing spatial temporal reasoning, you go after the root problem of intelligence itself.

What the world looks like is we want to have eight.

So I sort of group the sequences of AI in three stages, and I credit Andrey Gaparty for teaching this.

Bits to bits, atoms to bits and bits to atoms, and then atoms to atoms.

In the atoms to atoms stage, I want GI models to be responsible for 80% of all the

atoms-to-atoms interactions driven by AI models.

And the reason for that is because we were able to unblock intelligence so quickly in robotics, like intelligence is the bottleneck, that supply chains actually converged on gaming inputs as their primary input methods.

And they converged on essentially simpler systems that let us do a lot more a lot quicker.

So we are essentially the 80% market approach.

And then you have lots of companies that have kind of like specialized, maybe humanoid robot OS stacks that are the other 20.

I want to be responsible for 80% of all the atoms-to-atoms interactions driven by these models and be the gold center for intelligence and maybe 100x more in simulation.

Because I think simulation will actually be the larger market initially.

So I think in simulation, because you have very little constraints...

Also, from a safety perspective, simulation is much easier.

So I think a lot of the takeoff initially sits in simulation.

So a lot of the simulation use cases, like what I mentioned, scientific use cases, I'm really, really excited about.

And so, yeah, 80% of atoms-to-atoms interactions coming downstream from these types of spatial temporal foundation models, and then 100x more in simulation.

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