

It was an honest misunderstanding and I asked for clarification before making any assumptions. So not that weird. :)


It was an honest misunderstanding and I asked for clarification before making any assumptions. So not that weird. :)


Oh god. And I thought Amazon’s Mechanical Turk was terrible…
How low can Bezos go? Wtf is wrong with this timeline


They were, factually, Indian.
Whom are you referring to? A specific group/project?


And how does being Indian specifically factor into this? 🤔


I find the concept of paper clips superior


You don’t overcome thermodynamics, but you can work around them. For example:
When you cool something you take heat energy out of it you have to do something with that heat energy you can’t just delete it.
Or you can shunt it into space so that it doesn’t heat the atmosphere on its way out. That’s called radiative cooling and it’s brilliant.
And it can be done at home with household items. See Nighthawk’s YT channel for more info: https://youtu.be/N3bJnKmeNJY
And that’s just one out of many possible approaches. Interesting read: https://en.wikipedia.org/wiki/Reflective_surfaces_(climate_engineering)
This person is right. But I think the methods we use to train them are what’s fundamentally wrong. Brute-force learning? Randomised datasets past the coherence/comprehension threshold? And the rationale is that this is done for the sake of optimisation and the name of efficiency? I can see that overfitting is a problem, but did anyone look hard enough at this problem? Or did someone just jump a fence at the time and then everyone decided to follow along and roll with it because it “worked” and it somehow became the golden standard that nobody can question at this point?
“BEEP BEEP MOTHERFUCKER!!”