This isn’t intentional, of course. Nobody sits down and says, “let’s make sure the people who over-engineer things get promoted!” But that’s what can happen (and it has been, over and over again) when companies evaluate work incorrectly.
AI is far from reaching its theoretical capability: actual coverage remains a fraction of what's feasible
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MUL is slower than ADD. In the neural CPU, it's inverted: the byte-pair LUT (21 us) has zero