- cross-posted to:
- colombia@lemmy.blahaj.zone
- cross-posted to:
- colombia@lemmy.blahaj.zone
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George Jetson had an 17 minute work day with 2 hours a week and could afford a house, a hover car, a robot maid, enough money for his wife to spend the day shopping on top of household needs, enough extra to take care of a dog, and STILL enough leftover to allow elroy to be involved in extracurricular activities and to take the family on a vacation to the moon.
I worked two jobs at 50-60 hours a week and could only afford to rent a 1 bed apartment with almost nothing left over.
I wish I had came of age in that period of post war optimism that inspired that cartoon.
Edit: the Jetson’s takes place in the year 2062, we still have ~38 years or so to ensure our children can achieve that
And then you consider the flintstones crossover episode and realize that we are right on track for that reality
Its just us peasants will be living on the surface in flintstone world
If AI makes art, you have more time to do something productive. Now get back to work!
Until A.I. starts doing the work too and you just sit around broke waiting to be told what to do for your basic necessities.
The only answer is to send ourselves back to the stone age and seize the means of
reproduction!You will just be making newer, even more efficient AIs to replace the old ones.
Yeah shouldn’t it have been the other way? AI for robots to take out the trash and cook and clean, and we’d be free for art and writing?
What a hell of a ride.
UBI!!!
Capitalism there that was an easy answer.
Working as expected*
That is not a meme, that is a sick was world😖
The meme works because you know the movie and the pain.
When you need doc Brown but all you get is Musk…
When you order Doc Brown from Wish…
What’s the hold up on my trash taking/dishes doing robot? Is object recognition still too slow? I heard there’d been strides with fuzzy logic there. Is power storage still a limiting factor?
You mean a dishwasher? :)
Object recognition is good enough for this kind of task now IMO. The problem is with controlling physical hardware, which is a problem typically handled by reinforcement learning. This is a difficult problem for current techniques mainly because of its sequential nature (i.e. what you need to do now depends on the state you’re in, which depends on what you did a second ago). Being sequential means you can’t easily take advantage of GPUs for parallelizing a huge amount of work like you can for image generation where you produce the entire thing at once.
