Musk declares 'chess is about to be solved by AI': What scientific truth lies behind the war of words with Chess.com?

On February 11, 2026, on platform X, Elon Musk dropped a statement that sent the global chess community into a frenzy: 'Chess is about to be solved by AI.' Minutes later, Chess.com's official account fired back with a Vietnamese phrase: 'Do kỹ năng thôi' (Just skill). This seemingly playful war of words opened one of the fiercest scientific debates about the future of humanity's intellectual game. As someone who spent 14 years commentating on chess for VTC before shifting to tactical football analysis, I could not look away from the screen. Behind those short tweets lies a mathematical and philosophical issue that not everyone has the patience to dig into. Let's start with the numbers. Musk wrote, 'Chess has only 10^44 legal positions.' This figure sounds huge, but compared to the total number of atoms in the observable universe – estimated at about 10^80 – it is 'a grain of sand in the desert.' The tech billionaire seemed to be saying: a universe with 10^80 atoms has not yet made humanity give up, let alone a chessboard with merely 10^44 positions. Immediately, Chess.com corrected him with sweet sarcasm: 'It's actually 10^120 possible games, but no worries.' They are referring to a completely different concept – not positions, but the number of possible games. The difference is not minor at all. When I sat in the tactical analysis room in Mumbai, I once had a software engineer friend who explained: 10^44 is the number of legal positions – configurations of pieces that follow the rules. While 10^120 is the number of paths leading to those positions – the aggregate of all possible move sequences. Mathematically, these are two distinct categories: 'state space' and 'game tree complexity.' Both describe chess's difficulty but reflect different aspects. Musk, being an engineer, naturally knows the difference. So why did he use 10^44? Perhaps because he wanted to emphasize that chess is only a 'finite perfect information game' with no randomness and no asymmetric information. In the tech community's view, a perfect game like this – where all players see the entire board – is theoretically 'solvable.' Back in 2026, he bluntly declared: 'Chess is too simple for real life. No fog of war, no tech tree, two sides start evenly.' But that is a businessman's argument, not a mathematician's. And I, someone who spent their youth following the classic world championship battles of Kasparov and Karpov, can affirm: the difference between 10^44 and 10^120 is the boundary between 'theoretically solvable' and 'practically impossible.' Back to the war of words. When Chess.com answered 'Do kỹ năng thôi' in Vietnamese, netizens on X quickly pointed out it might be a jab at Musk's own chess ability. But Musk's reply was even more surprising: 'We will need information compressors far beyond human imagination to solve this problem. This may be achieved via exponential growth.' At first glance, this sounds like an admission of current technology's failure. But hidden behind it is a quasi-apocalyptic argument: Musk believes that in the future, a super-AI will emerge and compress the entire game tree of 10^120 moves into a 'succinct model,' just as Einstein compressed the entire universe into E=mc². This sounds impressive at tech conferences. But to those who understand game trees – how AI actually plays chess – it is merely a vacuous prophecy. Because to 'solve' a game, you need to prove, from every position, what the optimal outcome is. The number of branches in the game tree is not an information mass that can be 'compressed' in the conventional sense; it is the aggregate of countless logical branches, each depending entirely on the opponent's moves. Let me draw on my own 14 years of chess commentary experience. In 2026, when Deep Blue defeated Kasparov, people also said chess was 'dead.' When AlphaZero appeared in 2026 and learned chess in just four hours, people once again speculated chess would lose its appeal. Reality was the exact opposite: the number of people playing chess skyrocketed, viewership of live tournaments doubled, and both amateur and 2700+ Elo players found AI to be a teacher, not a destroyer. With his 'Do kỹ năng thôi' reply, Musk shows he does not understand the core of the issue. Perhaps he was trying to be funny – but to chess players, it was no small insult. Ask yourself: if chess were merely a matter of skill, why would we spend our lives exploring it? And why would a game 'about to be solved' remain such a vital AI benchmark? Weeks before the clash, in a major AI chess tournament, xAI's Grok 4 model lost to OpenAI's o3 in the final. If Musk's own company cannot build a dominant chess AI, how can he declare chess 'about to be solved'? Perhaps that is the real reason behind those tweets: when your AI is not the strongest in a field, declare the field is about to disappear. But let's set PR aside and look at the serious scientific question: Can chess ever be fully solved? The answer, based on current computer science, is: no. For a simple reason: 10^120 games – a number far exceeding the universe's atoms – is not something any information compression algorithm can shrink into a 'short formula' without loss. Shannon's information theory has shown that to determine the exact outcome of a chess game, you must retain all information about its state; every compression has inherent limits. So what does 'solving chess' really mean? In game theory terminology, a game is 'solved' when, from the initial position, a perfect player knows the optimal result: win, loss, or draw. In 2026, computer scientists announced they had 'solved' checkers – but they had to run the algorithm for 18 straight years, and checkers has only about 5×10^20 positions. Chess, with 10^44 positions – 10^24 times more – makes such exhaustive computation impossible even for future supercomputers. Musk might argue that 'future computers' could use a smarter algorithm, not brute force. But so far, every leap in AI – from Deep Blue to AlphaZero – relies on better position 'assessment,' not on 'solving' the entire game tree. AlphaZero did not solve chess; it plays chess better than humans. The gap between 'playing well' and 'solving' is enormous: a player may lose due to mistakes, but proving there is no mistake in a system with 10^44 positions requires checking them all. And here I want to offer a counter-intuitive perspective that few have noticed: the very fact that chess CANNOT be solved is why chess remains a wonderful intellectual sport. Imagine if one day someone proves that with perfect play, a chess game always ends in a draw. Then every player knows the ideal is a draw, every match becomes boring, and professional chess collapses. The World Championship turns into a contest of who memorizes more of the 'solution book.' The truth is, chess fascinates not because it is 'hard to solve,' but because it is 'unsolvable.' Precisely because there is no perfect formula, every game is a new adventure; players face uncertainty, create in darkness, and grasp tactical insights beyond any compression algorithm's reach. Chess is not a problem awaiting a solution; it is a language in which humans express strategic thought. The person standing on the edge of the field sees the entire match, not just what is inside the goal. And when I look at this war of words, I see an amusing paradox: those who pursue chess – players, coaches, organizers – usually understand AI's limits better than Musk does. They know that even if Leela and Stockfish reach ELO 3500, there remains a chasm between 'playing well' and 'solved.' They know chess never ends with a mathematical proof, but only with a match among human beings. Russia's five-man defense was not a wall, but a prism. Similarly, Musk's chess declaration is not scientific truth, but a piece of his PR strategy – crafting the image of a tech savior in every domain. Pushed to the corridor at the 2026 AFC Cup, I learned to read matches from what others left behind. Likewise, I learn to read Musk from what he leaves between his tweets. When he speaks of 'information compressors beyond human imagination,' he is not really talking about chess. He is talking about his dream of mastering the universe. And when Chess.com wrote 'Do kỹ năng thôi' in Vietnamese, the global chess community chuckled. The final story for this takeaway comes from a study I read when I was an ISL analyst: in 2026, in stadiums emptied by the pandemic, matches were played without spectators. People thought sports would collapse. But it did not waver – players still gave their all, because the match itself is a self-contained structure that operates independently of the eyes of viewers. The empty stadium in 2026 taught me: football never needed us. We need it. Chess is the same. Before AI emerged, chess had existed for thousands of years. After AI dominated the players, chess still operated silently as a perfect logical structure. Its appeal lies in its intrinsic beauty, in the tense matches between humans, in the moment a 16-year-old player finds a sacrificial tactic that no AI has ever calculated. That appeal has nothing to do with whether it will be 'solved.' So what happens next? Will Musk continue to delve into AI forums to find an escape from Chess.com's playful humiliation? Perhaps not. But the lesson from a woman who built a career observing the world from the sidelines is this: social media skirmishes will fade, but the questions about the nature of games, human creativity, and AI limits will remain. Remember: the best chess player plays with curiosity, not memorized skill. And the one standing at the edge, observing the entire board, understands that behind the chessboard lies a world far larger than immense numbers. Musk is a genius of innovation, but he made a mistake thinking chess is a game about to be killed. Chess is not a land waiting for AI conquest; it is a land forever hidden in fog, where any player with passion and imagination can discover something new. And if one day, a super-AI with compression ability beyond Musk's imagination appears and declares the 'solving' of chess – then remember, the games between humans will still echo across the world, in small clubs, online matches, and prestigious tournaments. Because humans do not play chess to find the optimal answer; humans play chess to challenge themselves. Chess will never be solved. And that is its most wonderful aspect. Another game is always waiting on the board. No matter how intelligent AI becomes, the first moves of humanity will remain a fascinating mystery. And I – the woman once denied a seat in the 2026 AFC Cup press room – will continue to record, analyze, and love this game, like an eternal hunter who never finds the final prey but is forever passionate about the hunt. The press room had no place for me. Tactical history always does.