[x0054]

So you stated something that wasn't true (Jim conceding), I pointed out that that wasn't the case, and then you flagged my post. So intellectually honest! A true gentlemen!

In any case, let's argue in good faith about this one specific moment you pointed out. The question in hand is if Gradient Descent in ML should be considered a "Search" problem. Lex argues that it is a "Search" problem and Jim is arguing that "Search" has a specific meaning in CS, and ML Training is NOT that.

Jim's understanding of the word "Search" matches my own. Search is a process of looking for a particular data or __specific__ outcome. What happens in ML during training could be described as optimization, filtering, and, obviously, training, but in no way does it fit the definition of "search".

For reference, my definition of "Search" corresponds to the formal definition described hear: https://en.wikipedia.org/wiki/Search_problem, Lex's does NOT, and this is what Jim was pointing out. He eventually gave up when he figured out that Lex was using a colloquial definition of search, not the technical CS definition of the same word, and "conceded" by saying "sure, if that's what you mean by search" or something to that effect.

I would appreciate if you wouldn't flag this comment, but rather engaged with it, like an adult. Thank you.