2,367 karma · joined March 6, 2020
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
My setup runs to a projector with no eARC support. I found this thing which splits a signal directly from source into two paths with eARC support. Haven't tried it yet, but optimistic that it'll work.
https://www.amazon.com/HDFury-HDF0160-Arcana/dp/B08DF7GRCB?r...
I don't really agree with your take on things but this one stuck out to me as particularly wrong. If there were suddenly another population of humans on another planet, there would, at a minimum, be a regular flow of digital goods, as well as physical shipments, largely one way earth -> mars.
That's the crux of it though isn't it? These are complaints about a specific approach, not generally of computers, and not even of the best demonstrated models.
I'm also not entirely sure this is the correct way to think about it. If the function to evaluate the accept-a-draw decision is separate from the next-move decision. Then if the accept-a-draw is refused, doing the poor pawn sacrifice is, without question, the best available move. My interpretation is that the accept-a-draw is made in a vacuum here.
- The optimal strategy pretty clearly seemed to be max out speed and one type of attack. Most battles can be one shot victories. I assume it wouldn't be that difficult to build up enough durability to survive multiple rounds of a battle, but it'd likely be a lot slower. Final boss was one shot on my first attempt.
- I only did physical attacks. There wasn't much room for strategy. Tackle if tackle would kill it; wild slashes if tackle wouldn't kill it; big slash if even that wouldn't work. There were some stat change attacks available but they didn't seem too interesting. Most of the time you just wanted to do enough damage to win quickly. Sand attack seemed somewhat useful once or twice. Because battles were so short, an enemy would need to be able to survive at least 3 tackles AND survive fewer than that with a debuff in order to make using any sort of buff or debuff worthwhile. Cuz tackle/tackle is basically the same outcome as sand attack/tackle. I'm not sure any fights lasted longer than 3 rounds for me.
- I had no obvious way to know if magic was more effective against certain enemies. But in any case, physical was more than enough, and thus, splitting any points between physical and magic attack was sort of a waste. I think there was a beastiery but I wasn't really interested enough to look through it
- The attack ammunition felt a little odd. Mainly in that I mostly just wanted more tackle ammo but as the game went on, mostly got variants that felt less useful. Reckless tackle in particular felt weirdly useless in how dangerous it was to yourself. I did feel like I wanted to conserve some ammo, but mostly for not wanting the annoyance of farming level 1 for tackles. If I had known the game capped out at warehouse 3 I probably would have finished it a lot sooner just blasting everything with big slash and calling it a day.
- I think it would be difficult to continue to add more meaningful content without adding more depth to the combat.
So can a computer though. This is an interesting edge case, but it seems to me that this particular bot mostly evaluated odds of winning by the pieces, not by the position. A more modern algorithm will actually use the positions on the board.
What would a human do if told "you're up by two rooks, do you want to allow a forced draw?" without being allowed to look at the board.
Not that I'm advocating this is a good idea.
I'm not entirely convinced this is true, even though it's commonly stated. People are terrible at driving in fog and snow and ice (and... asleep?). It's intuitive why a self driving car company would not want to release the cars to do this in extra dangerous situations while they're still improving the easier stuff, but we don't exactly have stats to say the cars would necessarily do worse.
Would you rather two drunk drivers and an overworked sleepy trucker die; or one guy who could drive safely but was instead driven into an overturned truck.