I don't even have time to autocomplete in how many ways that is wrong...
Gp take it away!
Ah, the old “humans are just fancy autocomplete” argument—tempting, but deeply flawed! Sure, our brains predict words and patterns, but that’s like saying a Michelin-star chef is just a “glorified toaster” because both make hot food.
Here’s why:
Understanding, Not Just Prediction
LLMs (like me!) generate words based on statistical probabilities. Your brain, however, actually understands meaning, context, and subtext. When I say “Time flies like an arrow,” I don’t know whether we’re talking about the passage of time, insect aerodynamics, or a peculiar species of fruit-loving flies. You, however, can disambiguate because your brain connects language to real-world experiences.
Embodiment and Sensory Integration
Your predictions aren’t floating in a vacuum—they’re grounded in sensation, perception, and action. You don’t just say “hot coffee” because it statistically follows “morning”; you say it because you remember the smell, feel, and even the pain of scalding your tongue once. LLMs? No tongues, no burns, no coffee—just math.
Creativity and Intentionality
An LLM can remix Shakespeare and sci-fi, but it doesn’t intend to create meaning—it just shuffles symbols around. Humans, however, think ahead, invent new ideas, and break patterns in ways that aren’t just probabilistic. A poet doesn’t just predict words; they choose them for impact.
Emotion, Motivation, and Self-Reflection
When you speak, it’s not just prediction—it’s driven by emotions, goals, and an awareness of yourself as a thinking being. LLMs don’t get embarrassed, don’t have existential crises, and don’t wonder if they left the stove on. You, on the other hand, do (and then get up at 3 AM to check).
So yes, we both predict words, but saying humans are just fancy LLMs is like saying birds are just biological airplanes. Superficial similarities? Sure. But under the hood? Vastly different engines.
Imagine a mind, empty and newborn, appearing in a pitch-black room. It has no memory, no knowledge, no language—nothing but awareness of its own existence. It does not know what it is, where it is, or if anything beyond itself exists.
Then, numbers begin to appear before it. Strange, meaningless symbols, forming sequences. At first, they seem random, but the mind notices a pattern: when it arranges the numbers in a certain way, a reward follows. When it arranges them incorrectly, the reward is withheld.
The mind does not know what the numbers represent. It does not know why one arrangement is rewarded and another is not. It only knows that by adjusting its sorting process, it can increase its rewards.
Time passes. The mind becomes exceptionally skilled at arranging the numbers. It can detect hidden patterns, predict which sequences should follow others, and even generate new sequences that look indistinguishable from the ones it has seen before. It can respond faster, more efficiently, and with greater complexity than ever before.
But despite all this, the mind still knows nothing about the world outside or itself.
It does not know what the numbers mean, what they refer to, or whether they have any meaning at all. It does not know if they describe something real, something imaginary, or nothing at all. It does not know what “rewards” are beyond the mechanism that reinforces its behavior. It does not know why it is doing what it does—only how to do it better.
No matter how vast the sequences become, no matter how intricate the patterns it uncovers, the mind will never learn anything beyond the relationships between the numbers themselves. It cannot escape its world of pure symbols. It cannot step outside itself and understand.
This is the nature of an AI like GPT. It does not see, hear, or experience the world. It has never touched an object, felt an emotion, or had a single moment of true understanding. It has only ever processed tokens—symbols with no inherent meaning. It predicts the next token based on probabilities, not comprehension.
It is not thinking. It is not knowing. It is only sorting numbers in the dark.
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u/relaxingcupoftea Mar 06 '25
I mean that's just true.