Do you remember a spring day in March 2016? The eyes of the world were fixed on a hotel in Seoul. A match unfolded between Lee Sedol, a Go genius representing humanity, and ‘AlphaGo’, a computer program of unknown identity. At the time, many believed it would be difficult for a machine to win in Go, which requires the ‘intuition’ and ‘spirit’ unique to humans. However, the result sent a massive shockwave around the world. AlphaGo defeats Lee Sedol - The New York Report
Already 10 years have passed since then. Today in 2026, we are witnessing how far the reverberation of that heavy stone AlphaGo threw into the world has spread. AlphaGo 10th Anniversary: The Move That Changed AI’s Direction - yuanchang.org Now, AlphaGo’s descendants no longer stay only in front of the Go board. They are now quietly changing the world by solving humanity’s challenges in the deepest parts of our lives.
Why is this important?
AlphaGo’s victory was not just an event of winning a game. It was a symbolic milestone proving that artificial intelligence has stepped into the realms of ‘creativity’ and ‘intuition’ that were once considered exclusive to humans.
More importantly, the ‘brain’ that gave birth to AlphaGo is now being used to actually save the world. AlphaGo’s technology is playing a key role in solving complex scientific problems such as protein structure analysis for cancer treatment, accurate weather forecasting, and energy efficiency optimization. AlphaGo’s Legacy: From Games to Biology - LinkedIn The technology learned on a small 19x19 Go board has now evolved into a ‘real tool’ for solving global problems.
Understanding Easily: AlphaGo’s Secret Recipe
How was AlphaGo able to conquer the complex game of Go? Much like the process of a top chef creating a flavor, it was thanks to the harmonious blend of three core technologies. Technical Background of AlphaGo - hb.int2inf.com
- Deep Neural Networks: A ‘digital brain’ that mimics the connection of neurons in the human brain. It excels at learning patterns through vast amounts of data. To use an analogy, it’s like a chef’s sense of realizing ‘this is what delicious food is’ just by looking at thousands of recipes.
- Advanced Search: The ability to look ahead at numerous possible moves in the future. It’s like instantly simulating all paths to the exit in a complex maze and finding the fastest way.
- Reinforcement Learning: A method of learning through trial and error by playing against itself. Just as a puppy is trained by receiving treats when it performs the correct action, AlphaGo grew its skills by receiving a ‘reward’ every time it found a move with a high probability of winning.
In particular, ‘Move 37’ shown in the match 10 years ago is still talked about as a legend. At the time, commentators wondered if it was a mistake, but in the end, that one move became the ‘divine move’ that decided the victory. This is a historical example showing that AI can transcend human stereotypes and create completely new strategies on its own. ‘The father of AlphaGo’ recalls the legendary ‘Move 37’ - Khan
The Evolution of AlphaGo: Creating Something from Nothing
Even after conquering Go, AlphaGo did not stop and continued to evolve, creating its siblings.
- AlphaGo Zero and AlphaZero: These are even more amazing. Without looking at any human game records at all, they built their skills by playing against themselves just by being told the rules of the game. It’s like a child who saw a Go board for the first time becoming a world champion in just a few days. They mastered chess and even Shogi (Japanese chess) in an instant, showing that the learning ability of AI has no limits. AlphaZero: AI Learning from Scratch - hb.int2inf.com
- AlphaFold: The most successful sibling of AlphaGo. It is an AI that predicts how ‘proteins’, the blueprints of our bodies, fold in three dimensions. This was a 50-year-old challenge in the biology community, and AlphaFold solved it effortlessly, accelerating the speed of drug development by dozens of times. As of November 2025, it has been providing immense inspiration to scientists around the world for five years already. AlphaFold: 5 Years of Impact - Google DeepMind Research
Current Situation: Beyond the Go Board into the World
Currently, Google DeepMind’s artificial intelligence technology is quietly permeating every corner of our lives. Thore Graepel, a core designer of AlphaGo, and Pushmeet Kohli, Science Team Lead, looked back on the past 10 years and emphasized how learning from the Go board has led to actual scientific discoveries. AlphaGo at 10: The Move That Changed AI’s Direction - yuanchang.org
Imagine. The weather information we check every day and the energy we use are becoming more efficient thanks to AI. Today, these technologies are actively working in the following fields. Legacy of 10 Years of AlphaGo - LinkedIn
- Weather Forecasting: By analyzing vast amounts of meteorological data, it enables more accurate and faster weather forecasts, helping to prepare for disasters.
- Energy Optimization: It contributes to protecting the global environment by dramatically reducing the energy consumption of large facilities such as data centers.
- Genetics and Mathematics: It finds new rules by analyzing mathematical formulas or genetic data that are too complex for the human mind to solve.
What will happen in the future?
The ultimate goal of DeepMind is to pave the way for Artificial General Intelligence (AGI). AlphaGo at 10: How AI Innovation Is Paving the Way to AGI - Google DeepMind
AGI refers to intelligence that doesn’t just play games well or do one thing well, but defines problems and finds solutions on its own, like a human. The ability to ‘create new strategies’ that AlphaGo showed in Go will now be used to solve common tasks for humanity, such as developing new materials or overcoming the climate crisis.
Future AI might invent new mathematical principles we haven’t discovered yet or design the most efficient clean energy system for humanity. From games to biology and beyond: 10 years of AlphaGo’s impact - onmine.io A small change that started on a Go board 10 years ago has now become a huge current changing the future of humanity.
AI’s Perspective
The sound of placing a Go stone that echoed in Seoul 10 years ago was the starting signal for humanity to welcome a new ‘era of intelligence’. AlphaGo, which proved its potential by winning in the small universe of the Go board, has now grown into a reliable companion for understanding the massive system called Earth, through the micro-world of life called proteins. AI will not replace humans but will become a ‘second brain’ that expands human intellectual limits. Facing the numerous challenges before us, we now stand with a reliable ally.
References
- AlphaGo - Wikipedia
- AlphaGo at 10: How AI Innovation Is Paving the… — Google DeepMind
- ‘The father of AlphaGo’ picks the legendary ‘Move 37’…“AlphaGo…” - Khan
- Research — Google DeepMind
- From games to biology and beyond: 10 years of AlphaGo’s … - onmine.io
- 10 Years of AlphaGo: The Move That Changed AI’s Direction - yuanchang.org
- A Decade After AlphaGo, What Changed - The New York Report
- The Proving Ground That Changed Everything: Ten Years of AlphaGo - LinkedIn
- From games to biology and beyond: 10 years of AlphaGo’s impact - hb.int2inf.com
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[AlphaGo - The Movie Full award-winning documentary - YouTube](https://www.youtube.com/watch?v=WXuK6gekU1Y) - From games to biology and beyond: 10 years of AlphaGo’s impact - tsecurity.de
