CPUs and the rise of neurosymbolic AI

To a first approximation, a pure neural network mostly just needs GPUs, graphics processing chips that do lots of matrix arithmetic in parallel. (You could use a CPU but it would be way less efficient.)Classic computation mostly uses CPUs, which are more general-purpose in the kinds of computations that they are designed to perform.Neurosymbolic AI, which by definition tries to combine the two, typically requires both.1In the age in which pure neural networks were dominant, which one might very roughly date as 2012 (when people began running neural networks on GPUs rather than CPUs) through mid 2023 (when Frontier companies quietly started incorporating things like symbolic code interpreters), a very large fraction of commercial AI was...

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