“AI” is a misnomer. There's no ability to reason. Its just pattern matching

12 点作者 jonthepirate将近 2 年前

I think GPT is really neat. However, it cannot solve even the most basic reasoning problems I tried.It feels like it understands what I'm asking for and it provides good answers, but so does Google.I think calling this "Artificial Intelligence" creates a misunderstanding of what's going on because it's pattern matching.Sure, the input and output is way better than Google, but if it can't reason, where's the intelligence? The whole thing seems like a hype train that I'm evidently not on.

9 条评论

PaulHoule将近 2 年前

Certain people always say that "art" isn't "art" but it's a consistent way to embarrass yourself whether the object is Duchamps' "Readymades" or video games (in the case of a famous movie reviewer.)Particularly any kind of "A.I." is always considered by some to not be "A.I." for instance a chess playing program is just searching moves, an expert system is just applying rules, software that lays out microchips is just solving an optimization problem, etc.It is moving the goalposts and it is a form of ignorance that leaves the field wide open to the likes of Eliezer Yudkowsky. Particularly, like the aphorism that "an LLM can't create anything new" it distracts people from the serious task of figuring out what specific things these things can and cannot do.

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proc0将近 2 年前

I think your contention that it's not real intelligence is properly described by "artificial", i.e. artificial flavors like lemon are not the same as lemon juice.Also, and maybe more importantly, it can be argued that reasoning is a form of pattern matching. All that brains do is pattern match, they just do it in a complicated way that we have no clue about yet, and therefore all the side effects and intricacies of the brain's architecture are not seen in the relatively more simple algorithms that we have now with artificial neural networks.That said, maybe a better term could be Algorithmic Cognitive Tools, or something similar to point out it's just extending our own intelligence, however I think most agree that eventually we will have proper AI and machines will be doing some form of reasoning whether human-like or not. I just don't think that "cognitive architectures" (another misnomer abusing biological terms) are there yet.

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wsgeorge将近 2 年前

"It's just pattern matching"Is there a name for when someone says "X is not really Y, but it is rather <mentions lower-level mechanism employed by X to achieve Y>"?Because that's what I'm seeing in this post, and I don't think it makes your argument strong.

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effed3将近 2 年前

I Agree. Probably the big part of the "intelligence" here, is by the reader, seeing in the textual output of a probabilistic model some sense or quality. The intelligence is hidden in the training data, i suppose, and probably the output is little more than a mirage.Building this AI systems, now and in the past years, has proven usefull in narrow and specialized fields, chess play, chemical classification, planning, scientific data analysis, etc, but when the field is the Human Language -per se- and it's significance i feel something big and deep is still missing.About the "Intelligence" till now we have no good idea of what really is, or how work, and how is related to Mind and Brain.

mindcrime将近 2 年前

Please stop. These discussions never lead anywhere, and all they reveal in the end is that $SOME_AI_PROJECT doesn't meet $YOUR_IDIOSYNCRATIC_DEFINITION_OF_AI.For the n'thousandth time: AI does not (necessarily) mean "perfect fidelity with human intelligence". It's many things including a field of research, a body of knowledge, a suite of technologies that display behavior which could be classified as "intelligent" in some sense, and an aspiration, among others. Current "AI" systems absolutely fall under this rubric, even if they aren't functionally equivalent to human intelligence.Never mind that we don't know for sure that human intelligence doesn't ultimately reduce to "just pattern matching" at some level. And never mind the "AI Effect"[1] where the public at large quits considering anything "AI" once it works. Usually by saying things like "it's just computation" or "it's just pattern matching." :-)[1]: <a href="https://en.wikipedia.org/wiki/AI_effect" rel="nofollow">https://en.wikipedia.org/wiki/AI_effect</a>

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jstx1将近 2 年前

This is pointless yelling at clouds.For most things there's a generally accepted mapping <thing> : <term for the thing> which evolves naturally over time as part of language and culture.That's what AI is - a name for thing, not a promise or a contractual obligation to perfectly match the preexisting dictionary meaning of the words that compose it.

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theonemind将近 2 年前

AI could mean a lot of things. For the sake of clarity, I generally won't refer to GPT as AI. I usually think of the way Richard Stallman wrote about "intellectual property" meaning copyright, patents, and trademarks. <a href="https://www.gnu.org/philosophy/not-ipr.en.html" rel="nofollow">https://www.gnu.org/philosophy/not-ipr.en.html</a> .Using grossly generic terms without distinctions seems to benefit those that want to misrepresent things by using concepts not fully applicable across the gross generic category for their self-interested part of the category, for hype or manipulation.Currently, people want GPT to take on the luster of a mythical AGI by using the categorical term "AI", so I just call it GPT/LLM. I'll consider "AI" a field of research, not an adjective or noun suitable for products based on research from the field.

johntiger1将近 2 年前

Not all AI is pattern matching - look up "symbolic reasoning"

throwawayadvsec将近 2 年前

you don't understand what intelligence is intelligence does not mean human intelligence, intelligence does not mean genius