I built careers on making labour easier, I want the result of that labour to benefit the workers, not the exceptionally short term vision of shareholders.
Just because you can't understand why this affects your future doesn't mean it's hollow outrage.
Technical solutions for societal issues don't have the best track record. Providing healthcare and education to everyone needs the right incentives, not technology that could theoretically help if greed spontaneously ceased to exist.
That "foundation of technology" requires a more basic foundation that makes the technology accessible. If an unemployed person in the US can only afford a witch doctor that's not a technical problem.
> If you think that AI only benefits shareholders then you're the one with exceptional short term vision.
You can't be so blind to history that you truly believe this, our present day is filled with examples of this not being true. You can directly look at literally any medical achievement that corporations own.
7-10 years ago people on this forum thought they were invincible. People who said said software work would be commoditized were ridiculed.
Rate of change is just fast and probably lots of people just thought that a career in tech was a free golden ticket for life. Now that it is threatened people are getting anxious and defensive.
The vast majority of bad things happening in the world are okay as long as they don't happen to "me". Living conditions in sub Saharan Africa are really poor, but noone cares. We are all hypocrites to some degree.
Given the state of A.I. even today, which is not that advanced, we need one terabyte per day or per week for training purposes. Someone has to produce that data and combine human made data with machine generated data. Synthetic data like that will be fed into ML algorithms.
That simple process, in my calculations, will be the biggest industry on the planet by 2030. The data has to grow 1000x every three years or so. So this industry will end unemployment worldwide, for every person on the planet and also all ages.
As soon as A.I. is used for serious applications like self driving cars, then data have to be audited by humans. Human judgment is irreplaceable. These machines are statistical algorithms anyway, so even with the best data possible, they will err occasionally. So we combine two or three of them and average the result given some score, for even better accuracy.
But data is the foundation of everything in their function. The transformation of data -> information is always done by humans. Given better and better statistical algorithms, that gap will become smaller and smaller, but automation will never be able to produce information by itself.
Other serious applications include medicine and doctors. How about building houses out of epoxy and graphene walls, weighing 10 kg every house and stacking 10000 houses on top of one another? I.e. skyscrapers the size of Everest? Don't we need some serious data and A.I. architecture for the construction to stand tall?
Outrage now that it's coming after their jobs just rings hollow.