Jonathan Hurst
speaker
206 appearances
1 recordings
1 series
first heard Jul 2026
last heard 28 Jul
Jonathan Hurst’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.
Appearances
The world models will solve this problem or?
They are part of the solution.
As with all of these things, there is no silver bullet.
Right.
So the world models, as I understand it, are, you know, can you model an entire warehouse and all of the physics of all of the objects inside of it so that then simulations of these robots can go practice in the world model without breaking things in the real world and, you know, compressed so you can do a million iterations within days and computationally and things like that.
But there's always a massive sim-to-real gap.
things aren't simulated perfectly.
And then, you know, as you pick up something in the real world and there's wave dynamics and there's condensation on the glass and the dynamics of the robot are not perfectly modeled, all these things are still very, very difficult.
That takes real practice in real life with robots.
I mean, it's not a very satisfying answer, maybe, but it's all of the tools, all of them, right?
There's not a silver bullet at all here.
I don't believe that there's a singularity.
I do believe that things are going to get better and better.
Think of it more like a snowball picking up steam going down a hill.
But the reason that it's snowballing like this is because people are putting money and resources and engineering time and engineering effort in as they explore everything and start to figure all of this stuff out.
But humans, for example, we've evolved to learn.
We are very good at learning.
And it takes very little data to show us how to do something.
And then we practice and practice and iterate.
Robots are not very good at learning yet.
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