this post was submitted on 03 May 2025
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Fuck AI

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[–] [email protected] 1 points 5 hours ago

That's the whole point. The terminology isn't clear. "AI" is marketing, not technology.

Words have meanings. Established words have established meanings. If you introduce something new and use words that have meanings radically different from the way they're usually used, you're being fundamentally dishonest. "Intelligence" is one of those words that has established meaning in several different fields: common conversation, biology, neuroscience, psychology, and even philosophy. NOTHING that has ever been called "artificial intelligence" is an artificial version of any of these meanings.

Now the first generation I'll cut some slack for. They genuinely believed (through a combination of hubris and programmer arrogance) that they were really working on the automation of intelligence as per the fuzzy overlap of the aforementioned fields. So them calling it "Artificial Intelligence" was hubris, not cynicism (though even there: it was called other things before "artificial intelligence"; there was some intent to mildly deceive).

Nobody after that gets any slack.

The second generation started talking about "perceptrons" and "multilayer perceptrons" and "feedforward networks" before settling on "neural networks". Despite the "perceptrons" (a good name) involved in making these having absolutely nothing in common with, you know, networks. Of neurons. Which "neural networks" was clearly intended to invoke. This was grant fodder and nothing more. This was a sop for poorly-educated money supplies to say "ooh, that sounds impressive" and toss cash.

The same applies to swarm intelligence, or genetic algorithms, or machine learning, or or or or. The terminology isn't selected because it's an accurate description of the technology involved. "Swarm intelligence" doesn't in any way resemble how any serious biologist would model swarms. A more honest name might be "particle swarm optimization". For genetic algorithm a descriptive name that doesn't deceive would be "stochastic optimization". For "machine learning" try "statistical pattern recognition".

And for LLMs try "hallucinating, forest-burning, stochastic parrot".

NONE of any of this matches anything that is "intelligence" by any definition other than a computer scientist, leaving us with a tautology that would have Anselm staring at you with disapproval and recommending that you through in random prayers here and there to disguise the fact that your entire name and argument in support of that name boils down to "this thing we determined arbitrarily to call artificial intelligence is artificial intelligence" while ignoring literally thousands of years of what "intelligence" means outside of your narrow ~~circle jerk~~ circular argument.

So, yes, indeed, let's be clear about our technology. We do not have an artificial version of "intelligence" and nothing we have in any way resembles "intelligence" as used by anybody beyond a certain little clique who says "what we define as intelligence is intelligence, Q.E.D."

The Anselm clique, I like to call them.