Now, here we have a 'KNNNPP vs kbpp' study-like chess problem generated autonomously by 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. You can learn more about the DSNS here. The position below contains 10 pieces which means it simply could not have been derived even from an existing endgame tablebase which is presently limited to 7 pieces. The accuracy of the main line presented for this study in the solution depends on the engine used and analysis time. The constructed position shown is nevertheless original.
Chesthetica v10.67 : Selangor, Malaysia
White to Play and Win : 2018.6.5 4:10:05 PM
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. Okay, let me think for a minute if there's anything else to say here. Why not time yourself how long it took you to solve this? Over time, the tactics you see in these puzzles will help you improve your game.
Solution (Skip to 0:35)
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