- cross-posted to:
- technology@lemmy.ml
- cross-posted to:
- technology@lemmy.ml
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.
Citation Needed (by Molly White) also frequently bashes AI.
I like her stuff because, no matter how you feel about crypto, AI, or other big tech, you can never fault her reporting. She steers clear of any subjective accusations or prognostication.
It’s all “ABC person claimed XYZ thing on such and such date, and then 24 hours later submitted a report to the FTC claiming the exact opposite. They later bought $5 million worth of Trumpcoin, and two weeks later the FTC announced they were dropping the lawsuit.”
I’m subscribed to her Web3 is Going Great RSS. She coded the website in straight HTML, according to a podcast that I listen to. She’s great.
I didn’t know she had a podcast. I just added it to my backup playlist. If it’s as good as I hope it is, it’ll get moved to the primary playlist. Thanks!