Can we teach the patterns that are unique to chess engines?
Pick a pattern, study four positions, then drill 36 you haven't seen.
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Mostly middlegames; the answer is usually a quiet rook move.
Mostly middlegames; the answer is usually a quiet queen move.
Mostly middlegames; the answer is usually a quiet pawn move.
Mostly openings; the answer is usually a quiet pawn move.
Mostly middlegames; the answer is usually a quiet rook move.
Mostly endgames; the answer is usually a quiet rook move.
Mostly middlegames; the answer is usually a quiet queen move.
Mostly middlegames; the answer is usually a quiet rook move.
The percentage is how often players who actually reached these positions over the board found the engine's move. Lower is harder.
Every position was played in a real game. A position qualifies when a strong engine's move is decisively better than the alternatives and a neural model of human play gives that move under 5% probability at every rating from 1100 to 2600. Of 123,405 positions analysed, 5,155 qualified; in 3,956 the player at the board missed it too.
The eight groups above come from clustering the first 1,745 of those by how the engine represents them internally. The full method and findings →
12 players · 5 positions attempted · 0.0% solved.