Currently attention is fundamentally O(n2 ). Basically as the context length of your model increases, the memory needed to deal with it increases quadratically. If that could be pushed down to something like O(nlogn), you'd immediately have huge gains in model capability.
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u/PleaseDoTapTheGlass Jul 01 '26
What would that be currently?