Now, this is a 'KQBBPP vs kqrb' mate in 3 chess problem generated autonomously by a 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. This position contains a total of 10 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 3
Chesthetica v12.30 (Selangor, Malaysia)
Generated on 20 Jun 2021 at 1:49:59 PM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. The material value is about equal. 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.
Solution
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