Bohr challenges physicist's understanding of algebra
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computational processQuanta Magazine
•In the 1970s, I wrote simple programs on paper and could feel the machine I didn’t have processing each step
64% Informative
Robert Oppenheimer : I felt the machine even before I touched a computer.
He says a program isn’t static code, it’s the embodiment of a living creature that follows instructions to a (hopefully) successful conclusion.
It's similar for shuffling a deck of cards, rolling dice or spinning a roulette wheel — or generating “random” numbers.
Computationally speaking, the machine in this case is Sophie ’s brain, as it must follow some process that converts English into French .
Sophie understands the languages because she grew up in a bilingual household, being exposed to both languages and all their complexities.
Machine learning takes a similar approach, training language models on large amounts of data.
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