Contemplate this 'KBPPP vs kbn' mate in 3 chess puzzle or problem (whichever you wish to call it) composed 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. You can learn more about the DSNS here. 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 v10.67 : Selangor, Malaysia
2018.6.6 5:17:13 PM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. Okay, let me think for a minute if there's anything else to say here. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Over time, the tactics you see in these puzzles will help you improve your game.
Solution (Skip to 0:35)
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