Consider this 'KQQBB vs kqrbnp' #4 chess construct composed autonomously by Chesthetica using the 'Digital Synaptic Neural Substrate' computational creativity approach which does not use any kind of deep learning. Chesthetica is able to generate various types of mates and study-like constructs and also compose problems using specific combinations of pieces fed into it (e.g. to compose something using a rook, bishop, knight and three pawns vs. a queen and a rook). Learn more about it on ChessBase. This position contains a total of 11 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.11 12:14:32 AM
Some of the earliest chess problems by humans are over 10 centuries old but original ones by computer are very recent. White is significantly ahead in material. 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. Over time, the tactics you see in these puzzles will help you improve your game.
Main Line of the Solution (Skip to 0:35)
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