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 over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Y Combinator Startup Podcast · World Models, Explained · 17 Jul 2026 podcast

And it will give me my optimal.

And this would be literally the optimal path that this thing can take to get to this state.

And that will minimize.

And I can increase this if I want it to do the least energy path.

And I make that zero if I want it to be the fastest.

And so that's typically the way that you would do what I would call deterministic

differentiable control.

And why differentiable?

Because I can take the, I can form the Lagrangian by taking this minus this constraint and take the gradient of it.

And I can do monorobbins.

You use the fact that it's differentiable to do the optimization.

Exactly.

If this is non-differentiable, you cannot do convex optimization and you cannot do SGD.

Even if it's non-convex, you could still solve and get a pretty good solution as we do in deep learning.

But if it's non-differentiable, you kind of can't.

There's nothing you can do.

Yeah.

So I'll put this adversary named Unkit.

Okay.

And your job is to – you have another drone, let's say.

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