Published online for the first time, consider this KQRNNP vs knn mate in 5 chess problem generated by a computer 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 9 pieces goes even beyond that and was therefore composed without any such help.
White to Play and Mate in 5
Chesthetica v12.30 (Selangor, Malaysia)
Generated on 20 Jun 2021 at 10:28:39 PM
Most changes to Chesthetica that result in a slightly higher 'version number' are simply to improve the interface, by the way. White has a decisive material advantage in this position but the winning sequence may not be immediately clear. Leave a comment below, if you like. Feel free to copy the position into a chess engine and discover even more variations of the solution.
Solution
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