A 'KNNPPPP vs kbnnnpp' 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. This position contains a total of 14 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 5
Chesthetica v10.82 : Selangor, Malaysia
2018.12.31 3:10:19 PM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. What was the machine 'thinking' when it came up with this? Did you find this one interesting or have something else to say? Leave a comment below! Feel free to copy the position into a chess engine and discover even more variations of the solution.
Main Line of the Solution (Skip to 0:35)
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