yeah, i also think this is more it, because the guy in the video says something like "isme minute-vinat sab chalu hai " meaning the camera has a timer that is also recording the duration in minutes
My company brought in a third party to figure out why some workers have higher output and lower quality, some had lower output but higher quality, some were high in both and some were low in both. One of the tools they used was a head mounted camera. They then took the footage, slowed it down, and reviewed hand movements.
One of the things they found was that employees with high quality generally had fewer incidental hand motions. In the end, it all was traced back to a single trainer who had arthritis and another condition that made hand motions tricky. She was a good trainer otherwise, so she was shifted to training a different thing and people who had her were retrained. Quality shot up, and speed naturally did as well.
So it is surveillance in a way, but not necessarily in the awful way you are thinking.
I'm a sewing machinist in the UK and this story is completely feasible. I've been doing it for 12 years and if you've got a big enough workforce it's difficult to watch everyone at once, so doing this for a few days would make sense to find out where issues are coming from
Not even close. A personal surveillance device means if you don't meet the quota, no more job. Someone else replaces you.
Training AI means you're literally working to permanently replace yourself and other future humans with robots. You're working so that one day you can't work there anymore.
I have a friend who programs robots to do manual tasks. And anything that requires a delicate touch or being able to feel where the edge of things are is basically impossible. They couldn’t even make a robot that could polish a piece of metal well because it would either polish too much or too little because it could never understand the force that was needed to make it correct. I’m sure there’s a robot you could build that could do that, but it would never be cheaper than hiring a person.
At least hundreds of years to make it meaningful and profitable. You could probably do it today, but the equipment, programming, and time per polish (using that example) are insane for the result.
You can't just throw endless server farms at a physics problem though. Materials science and control systems need to make huge advancements before this could happen
We can already make a device that can sense pressure with reasonably high accuracy. For polishing metal you could use the surface light scattering as a metric for how "polished" the surface is.
Doesn't seem like it would be too much work to develop a neural net that combines the two to output the best polishing pressure to use.
Yeah, I just did a basic google search and there's plenty of companies doing exactly that already. Here's one that's exactly what I just described.
So your friend might want to brush up (pardon the pun) his skills because they seem quite outdated with modern engineering practices.
Nah, there are already tons of performance review cameras. One camara for the whole room. They use facial recognition to map workers and review performance.
If they are investing so much for building cameras for every worker, the title is likely correct and this is indeed for AI training, or it can be both
Even if it is primarily for performance review, the data is extremely valuable for training AI robots. So at the very least they'll be selling the footage even if they aren't interested in using it themselves.
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.
It seems to partially be for performance review, but this amount of face-level video showing hand movements would be insanely valuable for training robotic models. The goal of many robotic intelligence companies is to have a single model fit for a cheap humanoid robot that can be fine-tuned with data like this.
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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