Now, this is a 'KQRRN vs kqb' mate in 3 chess construct composed 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. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.
White to Play and Mate in 3
Chesthetica v12.43 (Selangor, Malaysia)
Generated on 9 Nov 2021 at 6:30:52 AM
Humans have been composing original chess problems for over a thousand years. Now a computer can do it too. What was the machine 'thinking' when it came up with this? 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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