Glad to see things will improve in the US!
Glad to see things will improve in the US!
Turing the wheel of the car like crazy when they on a straight road.
Just drive like Nicholas Cage drives.
I’m not sure if Milei has been in power for long enough to have any sort of meaningful impact.
I don’t expect him to have a positive impact, mind. But it always takes a bit of time before things change.
They put money in Bitcoin, but not the tech behind it. To them it’s just stocks to be manipulated in order to get a profit.
Of course not, but it works 9/10 times for most people. Enough so that most people never have to deal with a faulty Windows update.
I think it recovered my PC for me twice, and it took about ~10 minutes each time at most. Good luck reinstalling everything in that time lol.
… No you just use Windows built-in rollback feature. Which I think even auto-recovers these days of it detects a failure to boot after an update.
This is a gross misrepresentation of the study.
That’s not their argument. They’re saying that they can prove that machine learning cannot lead to AGI in the foreseeable future.
They’re not talking about achieving it in general, they only claim that no known techniques can bring it about in the near future, as the AI-hype people claim. Again, they prove this.
That’s not what they did. They provided an extremely optimistic scenario in which someone creates an AGI through known methods (e.g. they have a computer with limitless memory, they have infinite and perfect training data, they can sample without any bias, current techniques can eventually create AGI, an AGI would only have to be slightly better than random chance but not perfect, etc…), and then present a computational proof that shows that this is in contradiction with other logical proofs.
Basically, if you can train an AGI through currently known methods, then you have an algorithm that can solve the Perfect-vs-Chance problem in polynomial time. There’s a technical explanation in the paper that I’m not going to try and rehash since it’s been too long since I worked on computational proofs, but it seems to check out. But this is a contradiction, as we have proof, hard mathematical proof, that such an algorithm cannot exist and must be non-polynomial or NP-Hard. Therefore, AI-learning for an AGI must also be NP-Hard. And because every known AI learning method is tractable, it cannor possibly lead to AGI. It’s not a strawman, it’s a hard proof of why it’s impossible, like proving that pi has infinite decimals or something.
Ergo, anyone who claims that AGI is around the corner either means “a good AI that can demonstrate some but not all human behaviour” or is bullshitting. We literally could burn up the entire planet for fuel to train an AI and we’d still not end up with an AGI. We need some other breakthrough, e.g. significant advancements in quantum computing perhaps, to even hope at beginning work on an AGI. And again, the authors don’t offer a thought experiment, they provide a computational proof for this.