Take a look at this 'KNPP vs kqbpp' chess problem generated by 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. You can learn more about the DSNS here. Any chess position over 7 pieces could not possibly have been derived from an endgame tablebase which today is limited to 7 pieces.
White to Play and Mate in 3
Chesthetica v10.82 : Selangor, Malaysia
2018.10.24 6:13:58 PM
Composing a chess puzzle or problem requires creativity and it's not easy even for most humans. Okay, let me think for a minute if there's anything else to say here. Leave a comment below, if you like. Take some time to study the analysis and you might appreciate the puzzle a little more.
Main Line of the Solution (Skip to 0:35)
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