What we have here is a 'KQBBN vs kqrbp' chess puzzle or problem (whichever you wish to call it) composed by Chesthetica using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, deep learning or any kind of traditional AI. You can learn more about the DSNS 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 10 pieces could have been taken from such a database.
White to Play and Mate in 3
Chesthetica v10.63 : Selangor, Malaysia
2018.5.18 11:29:20 AM
Everything composed by Chesthetica is original. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Take some time to study the analysis and you might appreciate the puzzle a little more.
Solution (Skip to 0:35)
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