And now we wait and see if this is true, or if we'll see Cunningham's Law in action[0]. Either way we'll learn something.
Anyway, a general-purpose dictionary data structure for the GPU sounds like it should unlock a whole lot of new possible use-cases, no? Are there any scenarios where this would be immediately beneficial?
(This experimental program analyse human text and detect if there is a reasoning error, if so, which one). It already has 100% of success for syllogisms. But I will in the future be hit by combinatorial explosion and gpu acceleration will help me, even if dictionnaries are not my main data structure.
I will not describe my algorithms, but still, I don't use overhyped neural networks (which are not well designed for true NLU) instead I use a normal program like opencog which allow top-down inferences.
Good luck with your research!
https://www.quantamagazine.org/new-ai-strategy-mimics-how-br...