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If you leave them alone shooting at each other they can engage in dynamic combat, what more do you want :P
I don't believe I ever said that LLMs were not "thinking." Certainly LLMs can think inasmuch as they are performing mathematical operations to produce output. (But then again we don't necessarily think of our cell phone calculator as "thinking" when it performs mathematical operations to produce output, although I certainly may catch myself saying a computer is "thinking" any time it is performing an operation that takes time!)
Take a rattlesnake, remove its brain, and then grab its body and inflict pain upon it. It will strike you (or attempt to do so). It may not be "feeling" anything in the subjective experiential sense, but it is "feeling" in the sense of sensing. Similarly, if you put your hand on a hot stove, your body will likely act to move your hand away before the pain signal reaches your brain. I suppose one can draw many conclusions from this. I draw a couple:
Sensation, to the extent that it is a process, is probably not a process entirely in the brain - sure, the mind is taking in signals from elsewhere, but it's not the only part of the body processing or interpreting those signals. (Or maybe a better way of saying it is that the mind is not entirely in the brain).
Things without intelligence or consciousness can still behave intelligently.
Britannica is probably more complex and intelligent than an equivalent sample-size of all LLM output.
Sure, I agree with this. But e.g. Midjourney is also capable of generating vast amounts of potential output - do you believe Midjourney is intelligent? Does it experience qualia? Is it self-aware or conscious? Or are text-based AIs considered stronger candidates for intelligence and self-awareness because they seem self-aware, without any consideration to whether or not their output is more complex? Which contains more information, a 720 x 720 picture or a 500 word essay generated by an LLM?
As I understand it, LLMs use larger training data than image generation models, despite most likely outputting less information - bits - per prompt than an image model. This suggests to me that complexity of output is not necessarily a good measure of (for lack of a better word) intelligence, or capability.
These things are, as I understand it, mediated by hormones, which moderate not only emotions like disgust and anxiety but also influence people's political views to begin with. These reactions aren't "purely intellectual" if by "purely intellectual" you mean "fleshly considerations don't come into it at all."
We can do optical illusions on people, yes. And both the human consciousness and an LLM are receiving signals that are mediated (for instance the human brain will fill in your blind spot). But the process is different.
Adobe Acrobat does this too, with optical character recognition, but I don't think that Adobe Acrobat "sees" anything. Frankly, my intuition is much more that the Optophone (which actually has optical sensors) "sees" something than that an LLM or Adobe (which do not have optical sensors) "sees" anything. But as I said, I don't object to a functionalist use of "seeing" to describe what an LLM does - rather, it seems to me that having an actual optical sensor makes a difference, which is where I want to draw a distinction. Think of it as the difference between someone who reads a work of fiction and a blind person who reads a work of fiction in Braille. They both could answer all of the same questions about the text; it would not follow that the blind person could see.
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