Replying to an earlier post

Thanks for proving my point, your service is invaluable.

LLMs are explosively imprecise, statistically luke-warm, grey goo extrusion sphincters. They can’t produce anything novel, at best they can reveal potentially plausible information from the data they were trained on, which then requires proven domain expertise to validate.

Intelligence requires comprehension, a trait LLMs are intrinsically incapable of performing.

Replying to an earlier post

Understanding, context[0].

Computers are particularly adept at iteration, and LLMs are an application that leverages this effectively. To wit, I’ll concede LLMs are ‘AI’, where that initialisation represents Accelerated Iteration, or in management as Amplified Incompetence, but as an example of Intelligence, that remains for those who are proud of their lack of the naturally occurring variety.

[0]: to frame a larger memory pool as a ‘context window’ is a misnomer, as context requires understanding and comprehension.

Replying to @⁨Eheran@lemmy.world⁩

I mean, if your argument is just semantics, that’s just… pedantic.

You could draw that line anywhere. The NPCs I play against in a strategy game could be “intelligence.”

You know what people mean. People are talking about ~anthropic cognition, which is clearly not what’s going on in current LLMs. They can do intelligent things, maybe they are an “intelligent” by some definition you define, but they are not even close to animalistic cognition.

Replying to an earlier post

You and others here act as if this is some clear cut thing, while actually defining it is extremely hard and everything but clear cut.

I find it scary how many people here are blindly against LMMs directly (not the big companies behind them or whatever) with about as much irrational hate as the people they despise, like Trump. They act the same way. Saying LMMs are not intelligent is so absurd I am not sure how to go forward, such a statement is oozing with bias.

Replying to @⁨Eheran@lemmy.world⁩

I’m not againt LLMs. They’re usefull tools, and I’ve been tinkering with them since 2021, and generative ML before that. I have one loaded on my desktop pretty much all the time; DeepseekV4 0731 is running, right this second.

I use them all the time. I hack at them as a hobby; I know how useful they can be.

But you’re stopping just short of calling them “alive.” They’re not even close, not even in the same universe. They do tasks with intelligence or some variant of that, but they are not intelligent. And I’m not trying to be pedantic, that is a loaded term that implies cognition and adaptability they do not have.

They’re basically the same thing as weather prediction models, but for text output. They’re just a model.

And I think its very dangerous when people fall into the trap of thinking they are, fundamentally, more than that. That’s the fantasy Altman and such are selling the public, to con them.

Hence, the article above ^. What’s coming out of these leaders’ mouths does not match what people are getting, and they can tell. And that’s because the premise they’re being sold, of “artificial intelligence,” is a lie.

Replying to an earlier post

Have you never wondered how some animal would completely take over if it was just a bit smarter? Example: A single fox can kill dozens of chicken. Imagine the chicken working together and attacking it, picking out the eyes etc. instead of literally not defending at all.

Or a herd of cow or whatever herd animal that could easily team up and trample/stomp/crush/… a predator but instead they all just run away and the slowest is dead.

Replying to an earlier post

Smarter is expensive! The brain will use more calories and cost more. LLMs are drastically less energy-efficient than natural brains. We’re one of the few cases where spending more on compute was worth it.

You’re describing eusociality, not intelligence. One might argue that ants have completely taken over, but they aren’t necessarily smarter than solitary wasps. LLMs only exist because of a huge economy behind them, and it remains to be seen how widespread they’ll be once they’re expected to generate a profit.