this post was submitted on 01 Apr 2024
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I don't know what you mean by "historical", because the stuff we've got now is what is historically known as AI.
If you mean the Star Trek stuff, though, then the specific terms for those are AGI (Artificial General Intelligence, an AI that's capable of doing basically everything a human can) and ASI (Artificial Super Intelligence, an AI that's capable of doing more than what a human can).
We don't have AGI yet, but there's no reason to assume we can't eventually figure it out. Brains are made of matter, so by fiddling with bits of matter we should eventually be able to make it do whatever a brain can. We have an example showing what's possible, we just need to figure out how to make one of our own.
ASI is a little more speculative since we don't have any known examples of naturally-occurring superintelligence. But I also think it's a bit unlikely that humans just happen to be the smartest things that can exist.
Yeah, and people are complaining that we shouldn't call it AI anymore because the colloquial usage of the word has changed, so I want to know what alternatives exist.
I have provided them.
Yes, you've provided the terms that I'm familiar with. That's not what I'm asking for though. I'm asking for alternatives from people who don't agree with this terminology.
Make something up and try to get it popular enough to matter, if you refuse to use the terms that have already gained traction and that you're familiar with. As far as I'm aware there's just AGI and ASI.
Even in Star Trek only Data, Lore (and Peanut-hamper) were intelligent, all the computers ran on what is being called 'AI' now. Massive DBs and search algorithms.
The ship's computer could whip up an AGI (Moriarty) in response to a simple command. The Federation later systematized this in the form of emergency holographic officers.
Search algorithms are, depending on the specifics, potentially "ai" now. If we're tokenizing out vectors and running a straight match query (i.e. postgres full text search) that's not AI - that's just string matching. Some of the offerings get into NN guided or LLM powered.... these tend to suck though because they're unpredictable and inconsistent. That may just be the novelty of the technology though, we've had decades to work on small word exclusion and language specific dictionary mapping - it's possible the consistency will get up and, at least when it comes to searching, everything really good already uses weird heuristics so it's not like we can reason on why specific results are preferred, we just know they're consistent.