Published online for the first time, consider this KQBBNP vs kqbpp mate in 3 chess construct composed autonomously by a computer program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour. 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 11 pieces could have been taken from such a database.
White to Play and Mate in 3
Chesthetica v11.32 (Selangor, Malaysia)
Generated on 29 Aug 2019 at 8:05:58 PM
The chess problems are published chronologically based on the composition date and time. However, later compositions may have an earlier version of Chesthetica listed because more than one computer (not all running the same version of the program) is used. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Try to solve this puzzle. Do try some of the others in the series as well before you go. Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer's. If you're bored of standard chess, though, why not try this?
Solution
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