41–50 of 171 posts
I forget the rough adjustment factors, but it is worth noting that lichess Elo is not the same as chess.com or FIDE. I think lichess is typically ~300 points above chess.com. This implies the model is around 2500 blitz vs humans. As blitz elo are often much higher than in classical time controls, 2500 elo on chess.com places it firmly in the 'good but not great' level. I am very curious to know whether the model suff…
OT: what's the state of the art in non-GM level computer chess? Say I want to play chess with an opponent that is at about the same skill level as me, or perhaps I want to play with an opponent about 100 rating points above me for training. Most engines let you dumb them down by cutting search depth, but that usually doesn't work well. Sure, you end up beating them about half the time if you cut the search down enoug…
Maia does this reasonably well! You can play against it on Lichess. I have gotten a few "feels like a human" moments when playing against it - for example, getting it to fall into a trap that could trick a human but would easily be seen by a traditional search algorithm. It's not adjustable but there are a few different versions with different ratings (although it's not a very wide range). https://www.maiachess.com/…
OT: what's the state of the art in non-GM level computer chess? Say I want to play chess with an opponent that is at about the same skill level as me, or perhaps I want to play with an opponent about 100 rating points above me for training. Most engines let you dumb them down by cutting search depth, but that usually doesn't work well. Sure, you end up beating them about half the time if you cut the search down enoug…
It uses a similar approach to Maia but with a different neural network, so it had a bit better move matching performance. And on top of that it has an expectation maximization algorithm so that the bot will try to exploit your mistakes.
On lichess puzzles gpt4o with the compiled prompt is around 70%, I think the 270M transformer is around 95%
It wouldn't be competitive against top tier players and AI, but I wouldn't be surprised if it could beat me. 'Instantly' knowing the next move would be a cool trick.
Would it be feasible to create a complete lookup table of 'best' moves for all given board configurations? I'm not sure how to determine the total number of configurations. Not the same as a tablebase, just a single next move rather than sequence to checkmate. It wouldn't be competitive against top tier players and AI, but I wouldn't be surprised if it could beat me. 'Instantly' knowing the next move would be a cool…
They have managed to create one for 7 pieces. Last update on trying to get to 8 piece database: https://www.chess.com/blog/Rocky64/eight-piece-tablebases-a-...
Would it be feasible to create a complete lookup table of 'best' moves for all given board configurations? I'm not sure how to determine the total number of configurations. Not the same as a tablebase, just a single next move rather than sequence to checkmate. It wouldn't be competitive against top tier players and AI, but I wouldn't be surprised if it could beat me. 'Instantly' knowing the next move would be a cool…
OT: what's the state of the art in non-GM level computer chess? Say I want to play chess with an opponent that is at about the same skill level as me, or perhaps I want to play with an opponent about 100 rating points above me for training. Most engines let you dumb them down by cutting search depth, but that usually doesn't work well. Sure, you end up beating them about half the time if you cut the search down enoug…
It uses paradigmatic PyTorch with easy to read code, and the architecture is similar to the current best performing chess neural nets.
Would it be feasible to create a complete lookup table of 'best' moves for all given board configurations? I'm not sure how to determine the total number of configurations. Not the same as a tablebase, just a single next move rather than sequence to checkmate. It wouldn't be competitive against top tier players and AI, but I wouldn't be surprised if it could beat me. 'Instantly' knowing the next move would be a cool…
The amount of data that would be required for a lookup table for all best moves for every board configuration would be infeasible. They have managed to create one for 7 pieces. Last update on trying to get to 8 piece database: https://www.chess.com/blog/Rocky64/eight-piece-tablebases-a-...
> From May to August 2018 Bojun Guo generated 7-piece tables. The 7-piece tablebase contains 423,836,835,667,331 unique legal positions in about 18 Terabytes.