Take a look at this 'KBNNPP vs kpp' chess problem generated autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. After years of development, Chesthetica is able to use the technology to express original creative thought in this domain. Note that it also never had millions of IBM or Google dollars behind it. There is no known limit to the quantity or type of compositions that can be generated. The position below contains 9 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces.
White to Play and Mate in 4
Chesthetica v10.63 : Selangor, Malaysia
2018.4.5 8:40:17 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. Try to solve this as quickly as you can. If you like it, please share with your friends. As a whole, these problems are intended to cater to players of all skill levels. If you're bored of standard chess, though, why not try this?
Solution (Skip to 0:35)
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