Francois Chaubard
speaker
744 appearances
1 recordings
1 series
first heard Jul 2026
last heard 17 Jul
Francois Chaubard’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 Jul 2026 with 1.
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Yeah.
So like if you have your, your C dance or your Sora or one, exactly all those models,
Like basically the idea is now we have them and they're already trained and they're great.
Let's do a small amount of action conditioning on them to get to this, uh, this world model.
And then we can sample from it a bunch and then train.
And this is exactly what wave, uh, did with Gaia and Gaia.
I think they've raised $1.5 billion to basically run with this idea for self-driving car.
Um, I think a bunch of companies, um, Nvidia, uh, uh, this, this paper here, uh,
is basically talking about doing exactly the same, this dream zero for robotics.
Yeah.
So I think that this is basically the path to it was the path, I believe, the path to get humans to be as good as we are genetically over the last 10, 20 million years of evolution.
A bigger world model helps for training and for test time planning.
And I think it'll be the same thing.
as true as for robotics.
Yeah, we have to talk about the world model for the world.
Yeah, so basically they do this exact same thing where the key unlocks for this whole thing was getting diffusion to work in very high dimensional state spaces like we talked about in the last lecture, and then learning to use that to action condition in the way that he's done.
But they did this for the entire world with this exact same diffusion steps, which go from some... And they go back to two time steps, lag of order two, AR2 for the...
statisticians there and then basically predict the next uh state of the world based on those things with this lingam and diffusion rollouts my big assertion is that um it was necessary for the human brain to develop world modeling i actually just saw this paper that i wanted to make sure to call out because i thought it was so great uh out of uh university of washington where they say explicitly in the in the abstract each cortical area
estimates both latent sensory states and actions, and the cortex as a whole predicts the consequences of those actions.
That sounds like a world model to me, right?
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