1054
Explaining “rogue” AIs
(lemmy.nz)
Transcript
Explain it to me like I’m 80
Mom: What’s with these AIs escaping and hacking people? That sounds scary.
Me: You park your car at the top of a hill. You leave a note on the dashboard that says “please be good” and then you pull the parking brake. The car careens down the hill, smashes everything up, and you put out a press release saying “My car ignored my instructions! It hallucinated! It went rogue!” Your insurance company not only believes you, but invests a hundred million dollars in your company.
Mom: Jesus Fucking Christ
It would be nice if we could come up with some kind of Turing test that proved beyond a doubt whether something was conscious and sentient or not. But, that's not possible.
However, if you understand how something works, you can say that certain things can't be conscious because of how they work. No matter how insightful the answers seem, we know that a magic 8-ball can't be conscious because the mechanism for consciousness can't exist in something that's merely a tetrahedron floating in fluid. A LLM can't be conscious because it's merely a system for generating the next word in a probabilistic way.
With a brain, we don't understand enough about how it works to say for sure whether or not it's sentient. We can't say no, but we don't understand sentience enough to say yes for certain. But, we can operate on the assumption that sentience and consciousness exists in humans and maybe in some other animals, while also knowing for certain that the word-generating program is only mimicking consciousness.
Can you though? You definitely can't know that living things with brains aren't to some significant degree responding to stimulus in a probabilistic way, and in the case of humans at least turning that response back on itself - essentially responding to itself. We do know for certain that the brain does a whole lot of that in variety of situations - it's why optical illusions work, for example. It's one of the brain's favorite magic tricks - generating answers in a probabilistic way if there's insufficient information, or sometimes if the information is inconvenient.