devilsavocado
Joined 11 years ago
Joined 11 years ago
When you respond twice in a row in a comment chain saying that they are using a logical fallacy, and nothing else, you've done nothing to add to the conversation, but are playing the role of Logic Studies 101 Professor. That's probably what they meant by the looking back on on your writing comment.
And just pointing out that you believe they are committing a logical fallacy without any explanation is a very lazy discussion technique.
If someone had a machine that could predict the stock markets with 100% reliability, or even 55% reliability, do you think they would make those predictions known to the public? Or would they start a hedge fund and become one of the wealthiest individuals of all time?
You've probably read Scott Aaronson's Why Philosophers Should Care About Computational Complexity? [0]. This seems like the perfect area to apply a lot of the questions he brings up. That's what I was looking for as I skimmed through the paper. Maybe that's what idlewords was talking about as well.
I'm very curious: What happens if the algorithms for general artificial intelligence, and the ability for an AI to improve itself are all NP-Hard problems? Is that covered?
It might be similar to the "intelligence combustion" scenario outlined. But that appears to be a scenario where do not need to be fearing superintelligence.
Amusing find from the linked article: Back in 1999 Trump proposed a one time wealth tax of 14.25% for individuals worth more than 10 million.
https://www.washingtonpost.com/news/inspired-life/wp/2015/05...
There are billions of facebook users, so this should be happening all the time by pure chance. But of course it's not pure chance. Facebook will be selecting from a pool much much smaller than 300 million, and the selections won't be random.