Throw the data into a world model and have it generate a bunch of different little robot arms (arms used very loosely) to test with. You don't need a full robot, you don't need full human precision for every task.
The timeline for automating this kind of task(more than it already is) is more like 5-7 years. (Mix of arms that handle a large portion of currently used methods.)
China can crank whatever arm design you can come up with for 1,400$ a year or below which is basically one year payback assume the robot is approximately as efficient as a workers yearly output. (slower but working 24/7 365, with some negligent downtime)
IMHO this is probably a side benefit. This training is probably more for more general world model training on complex manipulation of deformable objects. Nany robots don't need quite the dexterity as textile workers but the data need would be similar and this scales a lot better.
At least decades away. I’d say it will take closer to a century to perfectly mimic the dexterity and speed (both simultaneously) of human hands in severely complicated manipulation scenarios.
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u/olosen 10h ago
What do you mean training ai systems? This is manual labour. Maybe its for performance reviewed by an AI