Justin Johnson

speaker

345 appearances 1 recordings 1 series first heard Nov 2025 last heard 25 Nov

Justin Johnson’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 Nov 2025 with 1.

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Latent Space: The AI Engineer Podcast · After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs · 25 Nov 2025 podcast

I think you can need kind of a different learning paradigm, right?

So, like, you know, there's a bit of conflation here happening where saying, is it LLMs and language and symbols versus you know human theory building and human human physics?

And they're very different because an LLM, like the human objective function is to understand the world and thrive in your life.

And the way that you do that is by, you know, sometimes you observe data and then you think about it, and then you try to do something in the world.

And it doesn't match your expectations.

And then you want to go and update sort of your your your your bel your understanding of the world online.

And people do this all the time, constantly.

Like whether it's, you know, I think my keys are downstairs, so I go downstairs and I look for them and I don't see them.

And oh no, they're actually up in my bedroom.

So we're we're like because we're constantly interacting with the world, we're constantly having to build theories about what's happening in the world around us and then falsify or add evidence to

those theories.

And I think that that kind of process, writ large and scaled up, is what gives us F equals MA in Newtonian physics.

And I think that's a little orthogonal to, you know, the modality of model that we're training, whether it's language or or or spatially

Uh I think you stick with stuff that works, right?

I I I think attention is still there.

I I think attention is still there.

I think there's a lot like you don't need to thick fix things that aren't broken.

Um and like it's it's there's a lot of hard problems in the world to solve, but let's focus on one at a time.

Um I I think it is pretty interesting to think about new architectures or new paradigms or or d drastically different learning well ways to learn.

Um, but you don't need to throw away everything just because you're working on new modalities.

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