Take a look at this 'KRBBN vs kbn' #3 chess problem generated by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. There is also no proven limit to the quantity or type of legal compositions that can be automatically generated. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 8 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.27 9:11:05 AM
These chess puzzles are published in order based on the composition date and time stamp above. Due to the sheer volume of compositions generated, the latest ones may therefore only be published later on. White is over a rook's worth in material but the precise win in this position still needs to be found. Did you find this one interesting or have something else to say? Leave a comment below! Take some time to study the analysis and you might appreciate the puzzle a little more. If you're bored of standard chess, though, why not try this?
Main Line of the Solution (Skip to 0:35)
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