We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.
But what we call AI today is nothing more than a statistical machine: a digital parrot regurgitating patterns mined from oceans of human data (the situation hasn’t changed much since it was discussed here five years ago). When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.
This means AI has no understanding. No consciousness. No knowledge in any real, human sense. Just pure probability-driven, engineered brilliance — nothing more, and nothing less.
So why is a real “thinking” AI likely impossible? Because it’s bodiless. It has no senses, no flesh, no nerves, no pain, no pleasure. It doesn’t hunger, desire or fear. And because there is no cognition — not a shred — there’s a fundamental gap between the data it consumes (data born out of human feelings and experience) and what it can do with them.
Philosopher David Chalmers calls the mysterious mechanism underlying the relationship between our physical body and consciousness the “hard problem of consciousness”. Eminent scientists have recently hypothesised that consciousness actually emerges from the integration of internal, mental states with sensory representations (such as changes in heart rate, sweating and much more).
Given the paramount importance of the human senses and emotion for consciousness to “happen”, there is a profound and probably irreconcilable disconnect between general AI, the machine, and consciousness, a human phenomenon.
this post was submitted on 28 Jun 2025
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Another article written by a person who doesn't realize that human intelligence is 100% about predicting sequences of things (including words), and therefore has only the most nebulous idea of how to tell the difference between an LLM and a person.
The result is a lot of uninformed flailing and some pithy statements. You can predict how the article is going to go just from the headline because it's the same article you already read countless times.
May as well have written "Durrrrrrrrrrrrrrr brghlgbhfblrghl." It didn't even occur to the author to ask, "what is thinking? what is reasoning?" The point was to write another junk article to get ad views. There is nothing of substance in it.
Wow. So when you typed that comment you were just predicting which words would be normal in this situation? Interesting delusion, but that's not how people think. We apply reasoning processes to the situation, formulate ideas about it, and then create a series of words that express our ideas. But our ideas exist on their own, even if we never end up putting them into words or actions. That's how organic intelligence differs from a Large Language Model.
Are you under the impression that language models are just guessing "what letter comes next in this sequence of letters"?
There's a very significant difference between training on completion and the way the world model actually functions once established.
No dude I'm not under that impression, and I'm not going to take an quiz from you to prove I understand how LLMs work. I'm fine with you not agreeing with me.