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

Appearances

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And the fact that perception is all that's solved at this point is a really, really huge inflection point.
I mean, you know, I said, yes, robots doing useful things, but also people can now see the future of generality.
AI is really enabling that much more broad context awareness for these robots so people can see that this is going to be useful, generally doing many useful things very soon.
Not yet.
It's actually quite different.
So language models, think of it like it's now becoming kind of a commodity like the Internet.
It's available to everybody.
It's this amazing rising tide.
But these language models are trained off of the entire data on the Internet.
And that data does not exist for robot control.
You know, what's the example for your robot of all the torques, all the torque commands to every motor, given all the sensor input?
There's no training set of data.
So you have to generate and create that somehow.
And there's a lot of different approaches and ways people are going about this.
And some of these AI tools, again, think of AI not as a black box, but as a big tent of many different, very different, useful computational tools.
In order to control a robot, you can do these things by learning from demonstration.
You can give it, you can teleoperate the robot and start to train from that data.
You can give it animation input or motion capture input or any number of different things.
But that's also got a real hard limit because a person controlling a robot is not really getting to what the robot can do if it were optimal and how its behavior could work.
That the robot needs to practice, you know, and that's where you get into world models and sim to real transfer and all of these kinds of things.
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