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Why Learning from the AI Process May Be More Valuable Than Its Ability to Solve Problems.
I examine how AI solved an 80-year-old mathematical problem that even some of the world’s best mathematicians could not solve. It succeeded not because it possessed greater specialized knowledge, but because it approached the problem through a more synthesized process — a process remarkably similar to the way the best tactical investors think and operate.
By MARK MELROSEWhy Learning from the AI Process May Be More Valuable Than Its Ability to Solve Problems.
I examine how AI solved an 80-year-old mathematical problem that even some of the world’s best mathematicians could not solve. It succeeded not because it possessed greater specialized knowledge, but because it approached the problem through a more synthesized process — a process remarkably similar to the way the best tactical investors think and operate.