Now, this is a 'KQRBN vs krrbbpp' mate in three chess problem generated autonomously by a computer program, 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. The largest complete endgame tablebase in existence today is for seven pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 12 pieces goes even beyond that.
White to Play and Mate in 3
Chesthetica v12.55 (Selangor, Malaysia)
Generated on 9 Jun 2022 at 4:22:45 PM
Sometimes an earlier version of Chesthetica is credited for a more recent problem because that version was still running on that computer at the time. What was the machine 'thinking' when it came up with this? Did you find this one interesting or have something else to say? Leave a comment below! Take some time to study the analysis and you might appreciate the puzzle a little more.
Solution
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