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Exactly, almost everyone who reads Hacker News have built their careers on technological progress. Outrage now that it's coming after their jobs just rings hol
by indy 3y ago
Exactly, almost everyone who reads Hacker News have built their careers on technological progress.
Outrage now that it's coming after their jobs just rings hollow.
- krainboltgreene 3y agoI 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.
- indy 3y agoIf you think that AI only benefits shareholders then you're the one with exceptional short term vision. Broadening access to AI will massively benefit all humans
- deleted 3y ago[deleted]
- alluro2 3y agoIn the socioeconomic utopia we'll build in the meantime?
- indy 3y agoIn the fact that AI is the only realistic path we have of providing every human being on the planet with the best health care and education.
- pacifika 3y agoAre we not solving that with this whole web thing?
- alpaca128 3y agoTechnical 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.
- reducesuffering 3y agoYour healthcare depends mostly on a solid foundation of technology. Otherwise everyone can have full access to all the witch doctors.
- alpaca128 3y agoThat "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.
- krainboltgreene 3y ago[flagged]
- blibble 3y agowhat's the point in education if the AI does everything? all employment, music, art, ...
- krainboltgreene 3y ago> In the fact Just straight up not a fact.
- deleted 3y ago[deleted]
- krainboltgreene 3y ago> 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.
- muskmusk 3y agoI agree :) 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.
- phpisthebest 3y agoFirst they said #LearnToCode when the robots came for the factory workers, for I am a programmer and my job is safe Then they said #learntocode when the robots came for the cashier and bank teller, for I am a programmer and my job is safe Now that the robot is learning to code it seem they no longer desire progress
- emporas 3y agoNew jobs are possible however. 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.
- data-ottawa 3y agoDoes that mean jobs or filling a captcha to get a food stamp? I don’t see how that provides any employment.
- emporas 3y agoAs 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?