Now, here we have a ‘KQRN vs kbbpp’ chess puzzle created by 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 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.
8/3Q4/6b1/3KbN1p/5kp1/8/8/1R6 w – – 0 1
White to Play and Mate in 3
Chesthetica v11.20 (Selangor, Malaysia)
Generated on 11 May 2019 at 3:08:31 AM
Solvability Estimate = Difficult
If you notice an earlier version of Chesthetica listed with a newer problem, that simply means an earlier version may have been running on a different computer or OS user account. Now, let’s see what else there is to say. Give me a moment. Leave a comment below, if you like. Take some time to study the analysis and you might appreciate the puzzle a little more. Anyway, if standard chess isn’t your thing, you might instead like SSCC.
Main Line of the Solution (Skip to 0:35)
Chesthetica 