Given that the distributed architecture for massively parallel processing adds complications. Given that neural nets add in levels of "Oh, what the hell?" That

Given that the distributed architecture for massively parallel processing adds complications. Given that neural nets add in levels of "Oh, what the hell?" That explains a lot actually about the uselessness of Google results without getting really creative. I still grade Google at failing to produce a semantically valid index, that checks off the usability criteria of an actual index. If I have a corpus of data, I want to be able to examine the structure, even if only through a window. Way back before the through neural nets at things (if that is what they are doing now), you could actually get a sense for it. I used to love trawling Google results into the hundreds of pages, because what you'd get real feedback w.r.t the effects of additional predicates on your query. It was more of a data processing and query refinent exercise than "throw it at their ML models and hope they decide to be useful today." Organizing information isn't just about vomiting results... It's about imposing enough structure that people can help themselves it's like Architecture. A poorly planned building, or an excellently planned building optimized for discomfort is a hell on Earth. One that actually reflects and accommodates the natural flow and needs of the occupants/users is a joy for all to behold. Google had that. Now it doesn't, and it's increasingly difficult to get the darn thing to stop playing Bayesian/gradient descent/backprop buggers and just show me stuff that matches what I asked for in the Boolean sense, and don't you dare tell me there are only 13 bloody results. There is search, then there is Search. I prefer the latter.