Computer-Generated Chess Problem 02202
Consider this 'KNPP vs kqrrnp' mate in 3 chess construct composed autonomously by the program, Chesthetica, using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. 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 v10.69 : Selangor, Malaysia
2018.7.9 7:54:02 PM
Now, let's see what else there is to say. Give me a moment. If this one is too easy or too difficult for you, try out some of the others. Solving chess puzzles like this can also help improve your game.
Main Line of the Solution (Skip to 0:35)