An original 'KQNN vs kqrp' three-move chess puzzle created by the prototype computer program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.
White to Play and Mate in 3
Chesthetica v12.19 (Selangor, Malaysia)
Generated on 10 Jan 2021 at 1:51:41 PM
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. Material is even. Why not time yourself how long it took you to solve this? Some of these problems may be trivial for you, especially if you're a club or master player but bear in mind that chess lovers can be found at all levels of play. So do check out some of the other problems. You can probably find something more to your taste. Anyway, if standard chess isn't your thing, you might instead like SSCC.
Solution
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