“It” always caused weird grammatical problems with test descriptions. You can’t always describe tests that way. Some authors would try and some would ignore “it”.
1,292 karma · joined November 15, 2015
“It” always caused weird grammatical problems with test descriptions. You can’t always describe tests that way. Some authors would try and some would ignore “it”.
https://www.mintpressnews.com/simp-to-soldier-e-girls-milita...
Fair game, it’s Creative Commons.
https://meta.stackoverflow.com/questions/421831/temporary-po...
My understanding is that we have achieved very good pattern recognition, but that's only one aspect of cognition. IIUC a large part of our brain works that way, but for example there is also the language center which has recursion.
Also I don't think logic is just word games (could be wrong).
I'm sure we'll get there but I don't think this is it. E.g. AlphaGo was really good because it combined machine learning with tree search algorithms. Seems like logic and language and world knowledge could be combined with the excellent pattern recognition we currently have, merging first generation AI with the current stuff.
I have no idea how! I'm not in this field, just watch from a distance.
I am open to the idea of emergent properties, but I think logic/truth and purpose/empathy are independent facilities of intelligence that do not come from this model.
Pattern matching is a huge part of our brains, but there are more directed parts too. So far modern ML seems to be entirely the pattern matching part.
(Not an expert, just followed progress over the last 40 years.)
But that’s not my opinion.
Soon? Like geologically soon I guess.
However, they must use too narrow a definition of obvious, because many obvious things have software patents.
https://responsiblestatecraft.org/2022/12/22/how-twitter-hid...
It doesn’t have any logical model behind it.
Lots of provocative flight paths to look at.
https://arstechnica.com/gadgets/2022/01/google-fixes-nightma...