I'd expect it to be a training session with admin privileges. Similar to a robot vacuum learning the layout of the house and mapping maybe? Just with added steps based on where the washing machine, detergent etc are located.
I don't think its a training session. Current AI models are pre-trained before deployment for inference. After the model is trained, they load it into the robots computer, and it runs inference with that model.
You can't train the model again because you don't have enough memory on the robot, but also even if you did its slow and consumes energy. You could have it train in some server but then every new skill would require you to pay the equivalent price for renting a bunch of GPUs for many hours.
What they can do is, for everyone, have a base model, and then improve it over time. Then, with software updates they can improve the set of skills the robot can handle out of the box.
But this is the problem with current AI systems, without a continuous learning capability, you're always limited to the "default skills". As soon as you have something out of the box for the robot to do, you end up needing Indians to learn it.
All of AI is flawed in this way. LLMs for instance have almost no continuous learning capability, that is why we don't have AGI yet. They can't learn new skills. Therefore, they can't adapt to new jobs they have not seen during training. They can't even play pokemon properly or any complex game for that matter, because games involve learning new skills during gameplay.
`The devil is in the details. Its completely different if one user has a custom trained model versus the whole user base shares a custom trained model. You have to overthink about these things carefully, otherwise you don't reach AGI.
It's most likely just a remote piloted session that's fed into the bucket for the robot to train on unfamiliar tasks/edge cases for known tasks. Falls in line with the true meaning of AI being Actually Indians.
In some risk averse environments, when a critical decision needs to be made, part of the consulting does is take responsibility and be the party that can be blamed later in case things go south.
This feels like the inevitable next step in how the internet has been changing for the worse during the past decade. Almost all user space is limited to 'platforms', endless time being spent on never ending scrolls curated by dopamin-optimized empty content mixed with ads, dumbing down results and coercing user traffic to pre-approved safe viewpoints.
I think things will get worse and worse, early days of novelty has unfortunately lost against the hyper commercial internet we now have.
If I'm not wrong, productivity is measured as economic output/ hours worked. It seems pretty obvious that when people decide to reduce the hours worked, they will start pruning the less economically rewarding tasks first. How's that old adage: "work expands to fit the time available".
So I would expect that by cutting the hours, the economic output decreases less than proportionally, and therefore productivity grows.
I was trying to point out that the productivity has been steadily increasing without an obvious benefit to the workers (such as pay increase), so basically workers have been producing more without getting a larger share of that increase. Therefore, keeping all the other things constant, reduced workdays might be a benefit for that increased productivity.
