Consider this 'KQRNNP vs kqrrbn' mate in 5 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. Chesthetica is able to generate a variety of compositions using any combination of pieces. Read more about it here. The largest (Lomonosov) tablebase today is for 7 pieces which contains over 500 trillion positions. With each additional piece, the number of possible positions increases exponentially. It is therefore impossible that this problem with 12 pieces could have been taken from such a database.
White to Play and Mate in 5
Chesthetica v12.19 (Selangor, Malaysia)
Generated on 9 Feb 2021 at 8:34:02 AM
Chess puzzles are ancient. Some are over a thousand years old but only in the 21st century have computers been able to compose original ones on their own like humans can. White actually has less material than Black yet still wins. The white army is down by about 4 (Shannon) pawn units in value. Leave a comment below, if you like. Collectively, these puzzles are intended to cater to players of all levels.
Solution
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