Bernt Børnich

speaker
222 appearances 1 recordings 1 series first heard Jul 2026 last heard 28 Jul

Bernt Børnich’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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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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You have a robot standing in the closet and something goes wrong and you go out and you like flip the old switches and you do the things.
Like you're likely not going to automate that because it's kind of like a one-off thing that happens every few months, right?
Right.
Essentially like what used to be called like expert in place, like this concept of like you can take the world's best expert and teleport them to anywhere in the world to help solve a situation.
Like a surgeon, yeah.
Yeah, it's super useful.
I do think that what we've experienced over the last year is, first of all, that
NIO has become so capable, especially with the new hands, that teleoperation does not fully use the hardware.
Like you're not able to get the teleoperation to be good enough to fully utilize the hardware.
Yes, right?
The teleoperator will not feel the same as the robot is feeling, for example, right?
Then you need to build full haptic systems and they're going to slow you down and be slow and clunky and like... So we're increasingly seeing that gathering data with humans just wearing the sensors of the robot in as transparent a manner as possible.
So like, they should not disturb what you are doing, right?
That's the most useful data to solve kind of baseline dexterity on the robot.
But even more importantly, the big bet that we made, which is this decade-long bet in 1x, is...
If you get the robot to be similar enough to a human,
then you can train on all the available video data out there of humans.
Yes.
And we're starting to see some very good proof that this is actually working incredibly well.
And that's the reason we started the One X World Model Lab, because we now finally have the scaling laws on that, and we're seeing that... Take us inside that, take us inside the lab.
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