The question of who is stronger in chess — man or computer — has been a concern for half a century. Today the answer is clear: artificial intelligence surpasses any grandmaster to such an extent that an equal match between a human and the top neural network has lost its meaning since the mid-2010s. However, the path to total dominance was long, dramatic, and full of legendary battles. We analyze the fall of humanity and reflect on what remains for living chess players.
The first chess programs appeared in the 1950s with the advent of computers. Scientists regarded chess as an ideal testing ground for artificial intelligence — strict rules, a finite number of moves, and a clear goal. In 1951, Alan Turing wrote the first chess program in history on paper, performing calculations with a pencil. In 1957, Alex Bernstein created the first full-fledged program for an IBM mainframe, which took 3–6 minutes per move. These pioneers played openly weakly — the level of an amateur beginner, but the pace of progress was impressive.
In the 1980s, commercial chess computers appeared: Chessmaster (1986) and products from the Novag company. In 1988, the program Deep Thought (predecessor of Deep Blue) first defeated grandmaster Bent Larsen in a tournament game. The breath of the computer could be felt in the back of one's neck.
In 1996, Garry Kasparov, the reigning world champion and the best player in history, faced off against IBM's supercomputer Deep Blue. Kasparov won the match 4–2, but lost the first game — a historic moment when a computer first defeated a world champion in classical control. However, Deep Blue 1996 still made gross positional mistakes, and Kasparov took the upper hand.
Exactly one year later, in May 1997, IBM brought a new version — Deep Blue II ("Deeper Blue"). Increased computational power (about 200 million positions per second) and an improved evaluation function made the monster incredibly dangerous. The six-game match ended in a computer victory: 3.5–2.5. In the decisive game, Kasparov faltered psychologically, making a blunder, and Deep Blue entered history as the first AI to defeat a world champion in a match. After this, IBM disbanded the team, and Deep Blue never played again.
Deep Blue was a monstrous brute-force computer that played by sheer number crunching. However, the next generation of programs, such as Rybka, Fritz, Houdini, and Stockfish, used more sophisticated heuristics and became accessible on ordinary PCs. Their rating exceeded 3000 Elo points, while no human had ever reached above 2850. Since the early 2000s, professionals have already recognized that the best computer programs play stronger than any human. But the final point was put in the mid-2010s with the appearance of neural network engines.
In 2017, the company DeepMind introduced AlphaZero — an algorithm that learned not from human games but through self-play from scratch. The method is called "reinforcement learning." In just a few hours of self-training, AlphaZero played hundreds of millions of games, inventing its own, unorthodox strategy for humans. It sacrificed material for activity, built fantastic attacks, and often played a style that professional commentators called "extraterrestrial."
In a match against the best classical engine Stockfish (version 2017), AlphaZero achieved a crushing victory: 25 wins, 25 draws, and no losses at equal time control. Stockfish analyzed 70 million positions per second, while AlphaZero analyzed only 80 thousand, but the quality of the decisions was incomparably higher. Computer chess has entered a new level — now it was not hardware that dominated, but the idea.
Today's strongest chess neural networks — Leela Chess Zero, AlphaZero (in its later implementations), and the latest versions of Stockfish (with a hybrid NNUE architecture) — have ratings of about 3600–3700 Elo. Current world champion Magnus Carlsen (peak rating 2882, current ~2830) is more than 700–800 points behind the computer. This is roughly the same difference as between Carlsen and an amateur with a rating of 2000.
A modern engine on a good laptop can beat the world champion without a chance. The World Chess Championship for humans still exists, but it never puts people against AI in an equal fight — it would be a farce.
The reason is not that "computers are smarter" or that memory volume is the issue. Chess AI surpasses humans in three key aspects, each of which is insurmountable.
Tactical infallibility. A computer never blunders a piece, misses a checkmate in 2 moves, or makes mistakes in calculating variations due to fatigue. Even the best grandmasters make 1–3 tactical blunders in each game. A computer knows no word "fatigue."
Depth of calculation. A human can calculate a variation for 8–10 moves in a tense position. A computer can calculate for 30 moves, with dozens of branches, without losing concentration. This is biologically unattainable.
Objective evaluation function. AI is not subject to fear, authority of the opponent, emotions from a lost position, or desire to win beautifully. It always chooses the best move in its own view, without caring about the audience and not getting nervous in time pressure.
In contrast to the gloomy predictions of the 1990s, chess did not die. On the contrary, thanks to AI, it has become more popular. Top grandmasters use neural networks for analysis and preparation, uncovering fundamentally new ideas in openings and endgames. In online tournaments, millions of viewers simultaneously watch broadcasts with instant engine evaluation. The ratio of man versus man remains captivating, but the computer has become a coach, not an opponent.
Magnus Carlsen himself has repeatedly said: "There is no point in playing against a computer, it dehumanizes the process. Chess is interesting because humans make mistakes." AI has not defeated chess — it has killed the competition between man and machine, but has left the beauty of human versus human play untouched. And in who is stronger — man or AI — there is no doubt. The answer is given finally and irrevocably.
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