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everyone hates AI
(lemmy.blahaj.zone)
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this post was submitted on 22 Feb 2026
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I have made the conscious decision to try and not refer to it as AI, but predictive LLM or generative mimic models, to better reflect what they are. If we all manage to change our vernacular, perhaps we can make them silgtly less attractive to use for everything. Some might even feel less inclined to brag about using them for all their work.
Other options might be unethical guessing machines, deceptive echo models, or the classic from Wh40k Abominable Intelligence.
I mostly agree. Machine Learning is AI, and LLMs are trained with a specific form of Machine Learning. It would be more accurate to say LLMs are created with AI, but themselves are just a static predictive model.
And people also need to realize that "AI" doesn't mean sentient or conscious. It's just a really complex computer algorithm. Even AGI won't be sentient, it would only mimic sentiency.
And LLMs will never evolve into AGI, any more than the Broca's and Wernicke's areas can be adapted to replace the prefrontal cortex, the cingulate gyrus, or the vagus nerve.
Tangent on the nature of consciousness:
The nature of consciousness is philosophically contentious, but science doesn't really have any answers there either. The "Best Guess™" is that consciousness is an emergent property of neural activity, but unfortunately that leads to the delusion that "If we can just program enough bits into an algorithm, it will become conscious." And venture capitalists are milking that assumption for all it's worth.The human brain isn't merely electrical though, it's electrochemical. It's pretty foolish to write off the entire chemical aspect of the brain's physiology and just assume that the electrical impulses are all that matter. The fact is, we don't know what's responsible for the property of consciousness. We don't even know why humans are conscious rather than just being mindless automatons encased in meat.
Yes, the brain can detect light and color, temperature and pressure, pleasure and pain, proprioception, sound vibrations, aromatic volatile gasses and particles, chemical signals perceived as tastes, other chemical signals perceived as emotions, etc.. But why do we perceive what the brain detects? Why is there even an us to perceive it? That's unanswerable.
Furthermore, where are "we" even located? In the brainstem? The frontal cortex? The corpus callosum? The amygdala or hippocampus? The pineal or pituitary gland? The occipital, parietal, or temporal lobe? Are "we" distributed throughout the whole system? If so, does that include the spinal cord and peripheral nervous system?
Where is the center of the "self" responsible for the perception of "selfhood" and "self-awareness"?
Until science can answer that, there is no path to artificial sentiency, and the closest approximation we have to an explanation for our own sentiency is simply Cogito Ergo Sum: I only know that I am sentient, because if I wasn't then I wouldn't be able to question my own sentiency and be aware of the fact that I am questioning it.
Why digital circuits will never be conscious:
The human brain has about 14 billion neurons. The average commercial API-based LLM already has about 150 billion parameters, and with FP32 architecture that's already 4 bytes per parameter. If all it takes is a complex enough system of digits, it would have already worked.It's just as likely that consciousness doesn't emerge from electrochemical interactions, but is an inherent property of them. If every electron was conscious of its whirring around, we wouldn't know the difference. Perhaps when enough of them are concerted together in a common effort, their simple form of consciousness "pools together" to form a more complex, unitary consciousness just like drops of water in a bucket form one pool of water. But that's just pure speculation. And so is emergent consciousness theory. The difference is that consciousness as a property rather than an effect would explain why it seems to emerge from complex enough systems.
"Asking one's chat bot" sounds so much less impressive than "leveraging AI". Using the right language throws some cold water on the corporate narrative.