Consider this 'KQBNNP vs kbpp' chess puzzle created by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. The largest (i.e. 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 v10.59 : Selangor, Malaysia
2018.1.10 5:08:30 AM
A seemingly earlier version of Chesthetica on a problem composed later (based on the date and time stamp) simply means that version may have been running on a different computer or operating system user account. Now, let's see what else there is to say. Give me a moment. Try to solve this puzzle. Do try some of the others in the series as well before you go. Over time, the tactics you see in these puzzles will help you improve your game.
Solution (Skip to 0:35)
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