klmadfejno
Joined 6 years ago
Joined 6 years ago
That is what Alpha Zero does when you remove tree search
> A NN is just a system for remembering a dataset and interpolating a line between its points.
Interpolating a line between points == making inferences on new situations based on past experience.
> If you replace a tree search with a database of billions of examples, are you actually solving the problem you were asked to solve?
The NN still performs well on positions it hasn't see before. It's not a database. The fact that the NN learned from billions of examples is irrelevant. Age limits aside, a human could have billions of examples of experience as well.
> A NN is just a system for remembering a dataset and interpolating a line between its points.
So are human brains. That is the very nature of how decisions are made.
> Only if you thought the goal was literally to win the game; or to find the route to the bottom of the hill. That was never the challenge
So then why did you bring it up as an example other than to move goal posts yet again? I can build a bot to explore new areas too. Probably better than humans can. Any novel perspective that a human brings, is, by definition, learned elsewhere, just like a bot.
> Intelligence is in how you win, not that you have.
Sure, and being a dumbass is in how you convince yourself you're superior when you lose every game. There are many open challenges in AI. Making systems better at learning quickly and generalizing context is a very hard problem. But at the same time, intellectual tasks are being not only automated, but vastly improved by AI in many areas. Moving goalposts on what was clearly thought labor in the past is just handwaving philosophy to blind yourself from something real and actively happening. The DOTA bots don't adapt to unfamiliar strategies by their opponents, and yet, they're still good at DOTA.
That said, I'm also pro-nuclear.
> That was never the challenge. The challenge was having them play chess; ie., no tricks, no shortcuts. Really evaluate the present board state, and actually choose a move.
Uh-huh. And how exactly do you play chess? Do you not, perhaps, think about future states resultant from your next move?
Also, Alpha Zero, with its ability to do a tree search entirely removed, achieves an ELO score of greater than 3,000 in chess, which isn't even the intended design of the algorithm.
A rock will frequently fail to get the to bottom of a hill due to local minimums vs. global minimums. A child will too sometimes.
Single dumb human posts singular dumb ai example to show that all ai are dumb and fails to recognize the irony.
Vague and undefined, mostly a hardware problem, not an intelligence problem
> detecting cancers and disease
AI is a strong tool for detecting many cancers, and in some areas of research, just using the same olfactory data as dogs: https://journals.plos.org/plosone/article?id=10.1371/journal...
> shepherding
Again, not so much an intelligence problem, but a hardware problem. Nonetheless
https://www.theguardian.com/world/2021/apr/09/stress-test-au...
> protecting family from threats
In terms of ability to recognize and classify a threat, AI is clearly superior here. Dogs have terrible false positive rates.
This seems incredibly unlikely. AI vastly outperforms 99.99% of humans on various video games, and 100% on many others. I'll bet on a well trained ml model over a dog every time.
> That it may be possible to rig a human environment to be replete with so many symbols (road signs, etc.) that an incredibly dumb automated system can follow them is hardly here-nor-there.
We already have above average human performance with just normal road signs, and could also simply use digital information.
> Self-driving cars may work on highways and motorways; I don't see there being any in cities. Not for centuries.
Goalpost shifting