https://www.youtube.com/watch?v=pNvVWeHZG00
As you can tell from his commentary, he thinks the machine is rather stupid (and he is winning after the opening) but the machine is a much better calculator than he is and when the situation becomes more concrete he has to force a draw.
Of course, the computer on his phone is considerably worse than the best chess engines, but top chess players generally consider computers to be excellent calculators but dumb in terms of general strategy.
Is computer assisted chess a thing? Perhaps with standardized hardware, but any software.
In chess I'm good at strategy but terrible at calculating and I miss obvious stuff all the time in my fight for strategy. I always thought I'd do great with computer assistance to look for the obvious stuff, and me telling the computer the long term strategy.
It was called Advanced Chess [1], now it's sometimes referred to as Centaur Chess. You can find online servers to play this kind of thing but it's mostly just a sort of curiosity. Computer-human pairs are well known to be better than just computers at chess though.
Chess is 99% tactics/calculation. What we call "strategy" is just a set of heuristics that we use to avoid having to do endless calculations. However, a lot of those heuristics are already included in most chess playing software. So, if you're weak player as a whole, even if you have some strategy acumen, your contribution in an assisted chess setting will be negligible. The computer will be doing all the work anyway.
My rating is around 2000 and I have done some assisted chess playing and I can tell you that it's extremely hard to not just take computer's suggestion at every move. The chance that I'll come up with some brilliant move that the computer missed is very slim.
But googling it suggests it's more about thinking of the value of each move relative to others. If that's the case I'm not actually bad at that.
> I can tell you that it's extremely hard to not just take computer's suggestion at every move.
Is that how it works? The computer just basically plays and shows you some moves it likes?
That's not what I meant, I was thinking that you tell the computer something like: I want to capture piece X using Y 10 to 20 moves from now, perhaps by going via this direction. Tell me the best series of moves to get there while avoiding traps.
Or even better give it 2 or 3 such scenarios and have it tell you how dangerous each one would be so you can pick one.
Basically really narrow down the permutations the computer has to calculate.
I had most fun with this chess engine. Stockfish engine was not fun at all, it was playing like an "asshole" most of the time and when the AI strength is reduced it was like playing against a stupid "asshole". When playing against human you feel like your opponent is on something but against AI you feel like you run for your life. Mind you though, I am very amateur chess player, I play only recreationally.
Article: http://www.uschess.org/content/view/12677/763/
HN discussion: https://news.ycombinator.com/item?id=7831291
> That either shows a profound understanding... or a profound lack of understanding. ... ROOK B6! He has NO SHAME
As far as I understand the app (whose avatar's age goes up to 23) actually plays better than the living world champion?
— Magnus Carlsen, in an interview with Peter Thiel at the Churchill Club: https://www.youtube.com/watch?v=ZBnSU-LX1ss&t=23m51s
1) Computer vs Computer can still go both ways so clearly the one chess engines make mistake others can exploit; 2) Some sequences are still hard find for computers, e.g. [1]. The long king walk by White is beyond the horizon of the computer. 3) Computer + Man against Computer + Man correspondence matches do benefit from human intervention.
[1]: http://www.chessgames.com/perl/chessgame?gid=1124533&kpage=5
It's fantastic to see it take on the best commercial engines toe-to-toe and come out on top.
These ratings are computer ratings, and because they are playing very much isolates (computers vs other computers), without enough external human encounters, the ratings are consistent within the computer sphere, but not really like-for-like with human rating lists.
A lot has happened since Deep Blue - that was just a 6 game match, which really only proved that machines can play near a grandmaster level, but without nerves. And at times that is good enough to beat a world champion in match conditions, because the human is more susceptible to the psychological events.
Since Deeper Blue we've seen the emergence of chess engines on personal computers (rather than racks and racks of RS6000 mid-range servers), so Chess Genius, Fritz, Shredder, Junior, Rybka, Houdini and now Stockfish pushing chess engines ahead.
The Chess Genius - Junior levels show chess engines capable of matching grandmasters at blitz/active-play speeds, but still struggling at slower time controls.
Rybka onwards show a computer engine where elite grandmasters are seriously challenged.
Chess hasn't been solved. Just watching Magnus Carlsen's play shows we are expanding chess knowledge incrementally one game at a time. Yes, progress has slowed down, but the incremental improvement are still there.
Chess technique is refined to such a super high degree, but still far short of "solving chess". Perhaps this current generation can beat grandmasters when psychological factors are minimised, it's hard to tell.
It's certainly not as clear cut as a Porsche vs Usain Bolt over 100 meters.
On the Computer Chess Rating List, Stockfish is currently about 350 elo points stronger than Deep Fritz 10. [2] That means Stockfish would have about 88% chance of winning vs Deep Fritz 10.
[1] http://en.wikipedia.org/wiki/Human%E2%80%93computer_chess_ma... [2] http://www.computerchess.org.uk/ccrl/4040/rating_list_all.ht...
The Deep Fritz on the rating list, is that the same Deep Fritz that played Kramnik? (Notably the hardware and software version used may be different - perhaps the Deep Fritz on the rating list is weaker than the one that played Kramnik?)
And also, be careful trying to compare computer-list Elo with human-list Elo. Because participants on both lists are isolated from each other, there is a tendency for one set of ratings to be inflated/deflated compared to the other. We see this in international chess where countries that don't have regular FIDE tournaments, players either seem to be significantly stronger or significantly weaker than the prevailing norms in the bigger pool of players. South Africa, Myanmar are two such examples.
http://en.wikipedia.org/wiki/Human%E2%80%93computer_chess_ma...
Computer software doesn't play chess. It doesn't understand positions. It has a bunch of algorithms and processes that turn a board position, tries each candidate move, turns the resulting position into some sort of number, through an evaluation function. Goes down a tree of that until either it reaches a definite conclusion, or reaches a depth where trying to go deeper takes far too much more time.
All of this is an artificial simulation of how chess is played. And it is, long-term, at the mercy of the accuracy of the evaluation function. Because right at the end of it's search-depth, it has to evaluate that position, effectively "a guess".
The most accurate way of evaluating a position is to try each move and go down a search tree of best moves until you reach a definite conclusion. But the evaluation is used because at that point it is computationally too expensive to go down the move tree any deeper. It's a fudge of brute force analysis - there isn't enough computational resources available to go any deeper, and so the computer must guess. This is the horizon effect, computers can't see past it.
That evaluation function is a human written piece of code, that takes various on-board factors: piece placement, pawn structures, strong/weak-squares, king-safety, piece activity, central control. In effect, the human is trying to program intuition into the machine. Humans don't understand intuition, let alone program a computer to do it.
Chess strength of software is determined substantially by the number and speed of CPUs, Memory capacity, and the evaluation function. The evaluation function is the weakest part of that chain, so there's considerable effort to hold off the use of the evaluation function for as long as possible.
I think only the Rybka developers spent more time trying to teach the engine how to play chess, and that proved more successful for a few years than the "more power quicker" led industry.
The evaluation function is the most difficult part of a chess engine. It is the typical AI problem. And humans can only take that so far. But how do you find a human who can comprehend how a grandmaster thinks about a chess position and determining the right move, and still be capable of emulating that process in software. At least Rybka's developers were International Masters.
Also, humans have the strength to adapt and refine - patch their own chess playing abilities. Look at Carlsen's style, it's an ever more refined Karpov style, which itself was a more refined Capablanca style. Carlsen excels in the kinds of positions computers don't manage well - deep strategical long-range plans, well executed. A lot of Carlsen's chess strength is intuition and feel, with an impeccable analysis to confirm his hypothesis. And he's one of the post-Chessbase crowd, grown up learning chess with computers. That is an opponent a computer should fear, if it could ever comprehend the notion.
So yes, in terms of chess playing strength, humans still play chess better than computers.
... but humans can't beat top computers any more? You're not making any sense here. The fact is no human has beat a top computer in almost 10 years. Not even once! Claiming that humans are still better is just nonsense.
For example, it may be reasonable to play an aggressive variation against an opponent because you think they might have difficulty finding a response in time pressure, but a computer can make precise calculations in any situation, and so such a strategy almost always backfires.
What's more, chess is often abstracted at higher levels in terms of things like long term plans ("I want to put pressure on the c7 pawn and control c6") instead of concrete material gains, which allows players to make progress even in positions where there are no direct threats and no sensible exchanges of pieces. Computers when faced with such situations will know that the position is objectively drawn and so will just shuffle their pieces around aimlessly, and playing against this kind of thing is not very good practice for actual human opponents who will try to find ways to beat you anyway.
Computers don't play like humans, and they are consistent in their weaknesses as well as their strengths. As players are more exposed to playing against various chess programs, they learn what positions computers are not so good at (long-range strategical themes, beyond the typical move horizon). A local optimisation, of sorts.
So players start adopting an anti-computer style of play, which requires a different mind set to pull off. That in turn affects their natural style of play.
So I argue the opposite, for preparing for top-flight tournaments, players probably avoid / severely limit playing against chess engines, to avoid this natural anti-computer bias to their play.
Sure, the engines are good for checking variations and analysis, as an assistant. But not as a leader, nor as an opponent.