Ray Solomonoff, with his ambitious goal at 16, developed a groundbreaking concept that allowed for the systematic search of data for patterns, revolutionizing scientific problem-solving.
In 1942, Solomonoff's ideas predated AI algorithms, focusing on using Occam's razor to derive the simplest explanations for complex phenomena, akin to physicists seeking simple formulas.
He aimed to create a set of rules or algorithms that would unveil hidden relationships in data, positing that everything in the world could be explained simply.
Solomonoff illustrated his concept by demonstrating how to derive Newton's laws from the trajectory of a baseball, emphasizing the importance of simplicity in scientific explanation.
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