Contemplate this ‘KQRBNN vs knn’ four-move chess problem generated autonomously 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. Any chess position with this many pieces could not possibly have been obtained from known endgame databases. Chesthetica is therefore the real McCoy.
N4k2/7n/8/3n2N1/2K5/8/3R4/4Q1B1 w – – 0 1
White to Play and Mate in 4
Chesthetica v11.62 (Selangor, Malaysia)
Generated on 28 Feb 2020 at 10:47:47 PM
Solvability Estimate = Difficult
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today’s date. Now, let’s see what else there is to say. Give me a moment. Why not time yourself how long it took you to solve this? Solving chess puzzles like this is probably good for your health as it keeps your brain active. Nobody wants something like early-onset Alzheimer’s.