"AlphaGo was just a 'baby' project, as he put it to me, and he was an accomplished amateur player. But it still took him down."
"For decades, developing a program that plays Go at an elite level was an infamous problem in computer science. Many considered it unsolvable."
"The number of possible Go positions is so high that it cannot be easily expressed in words; it is higher than the number of atoms in the observable universe."
"Today, the technical frameworks and approaches that allowed an algorithm to excel at this board game have translated fairly directly into bots that can write advanced code."
Thore Graepel faced AlphaGo, a nascent AI program, in 2015 and lost despite being an accomplished player. AlphaGo later defeated top human players, including Lee Sedol, marking a significant milestone in AI development. The complexity of Go, with its vast number of possible positions, posed a challenge that many deemed unsolvable. The advancements made in AlphaGo's algorithms have since influenced various fields, enabling bots to write code, solve mathematical problems, and facilitate scientific discoveries.
Read at The Atlantic
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