this post was submitted on 14 Jun 2026
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Yeah we all hear the main arguments... AI is bad because of slop content, stealing from creators, brain rot & brain damage, privacy concerns and most importantly... how billionaires are just using it for their own selfish reasons

​But I'm asking about YOU 🫵 personally. The individual. What do you really think about AI? Do you care or are you indifferent? Has it actually affected your day to day life?

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[–] nugnuts@lemmygrad.ml 4 points 5 days ago (1 children)

I agree with your points and perspective, but I also fell like "Simulated Cognition" is a bit too generous. I don't think an LLM/what we currently have as generative "AI" is a simulation of cognition, though I acknowledge/concur that is the intent. Perhaps I'm splitting hairs too finely, but I see it instead as a statistical approximation of language processing.

I mean, I guess one could just say, "yeah, they're a statistical approximation of language processing with the intent of simulating cognition", and I'd have to acquiesce. So I guess my hang up hinges on how one interprets the word "simulated," because I think its connotation tends to be more weighty than its literal definition. For example, if we said "Mock Cognition," that's more obviously fake cognition (to me, anyway). Whereas a mathematical simulation of something, for instance the flight trajectory of a satellite or rocket, is not the real thing, but is more or less expected to exactly model the real thing (at least in my selected example). And it makes me uncomfortable to apply that perception to the "Simulated Cognition" of our models that approximate language processing.

[–] amemorablename@lemmygrad.ml 3 points 5 days ago (1 children)

That's fair. I'm definitely not married to either term. Mainly trying to work out something that is more accurate.

I will say, the reason I go for "simulated" is because for me, the connotation I think of is video game style simulation, i.e. something that is understood to be not real. But that may not be the takeaway most would have.

Either way, I get the concern of not overstating what gen AI is doing. Though on the other hand, I think it's important not to understate it either. Like what models are doing now with complex code, or with reasoning layers, it seems almost trivializing to call it statistics, even if that is a component part of it.

We could also call them Bullshitting Machines, haha. They sure act like that sometimes. But yeah, I'm open to better ideas on better terminology for it. Precise terminology has never been my strongest area. I'm more apt to use language fluidly.

[–] nugnuts@lemmygrad.ml 4 points 5 days ago* (last edited 5 days ago)

Virtual Cognition? 🤔 No, I don't think we're going to come up with anything better than Bullshitting Machines