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I'd go as far as saying "AI" is only as good as someone has taken the time to program the use case.


Yes, basically 1990s Expert Systems but with even more manual labor.


So, it's really just a series of if statements?


Don't get ahead of yourself: it's SELECT with GROUP BY.


Don't forget

AND keyword LIKE '%searchStr%'


Not that but maybe someone can explain if the technology is "AI" why it still takes tens of thousands of hours to implement a project? Shouldn't we call it AI when the frameworks can be implemented with relative ease? My point is that the level of customization required to achieve AI, in my opinion, doesn't make it very intelligent.


One of the primary methods to join multiple learned models is a decision tree (or combination of decision trees making a decision forest), which can be simplified as a series of if statements/conditionals. So if you join a 'is it a shirt' model with a 'is it striped' model you get two sets of things, and with how big data approaches this it is something you can do quickly. As other people have pointed out the issue here is that the NLP of the actual search is not creating a negation of two sets, it is returning the intersect of sets 'is it a shirt', 'is it striped' and shrugging its shoulders and either intersecting it with 'things with the text without', or throwing up its hands entirely based on the context because it wasn't programmed to do something smarter.


Yes, each of which wraps a "Not Hotdog" app. Turns out that "Not Hotdog" is quite hard already.


Either that or vague network of trial and error generalizations (deep learning/gut learning).


Huh? It's supposed to be the opposite, hence the "I"


The term has been bastardized. AI is now any app that uses if statements, so long as it's obscured to the user. So now "AGI" exists, because apparently the word "general" now means "intelligent", unlike "intelligence".

At some point in the future marketers will learn about AGI, and we'll have to make yet another term, maybe artificial general practical intelligence?


AGI is some AI that isn't specialized in a single problem.

There is nothing on the word "intelligence" to imply it's not specialized.


Right, because when I think of "intelligence" I assume it's specialized and otherwise is dumb as rocks. Naturally. Which is why marketers are really just advertising specialized tools, not agi. Obviously.

I know what agi is; I just find the terms backward.


When you think of intelligence, you think of the human kind. As we create different things that have some of the properties we usually identify as "intelligence", but lack others that were completely correlated until that time, we need to create better words that can express the new situation.

It's perfectly ok to prefer the qualifier to go the other way around, keep intelligence general and change the name of the specialized form. But that's just not how our language evolved.




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