AI is the missing link between philosophy and mathematics.
It’s a longer train of thought. Math builds languages from the ground up, largely syntactically, so proofs are possible, but it’s hard to speak about meaningful things in it. Most philosophy is starting semantically, but it’s hard to get to provability. /1
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Math became computation after Hilbert/Gödel/Turing. Wittgenstein tried to find a computational language to conduct philosophy in, but failed (perception needs function approximation). Meaning requires to capture the entire nature and state of the observer mathematically —>AI. /2
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This was the main motivation when cybernetics and AI started out. However, that is quite unrelated to most work in AI as a discipline today, of course. Wittgenstein is not even in the curriculum, even though Turing was his student.
End of conversation
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