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by in-silico 60 days ago
What about robots? Not necessarily humanoid robots, but the classic RL demonstrations that can scurry around and achieve simple goals?

In the computational functionalist argument, the thing that we share with cats, pigeons, and robots (and in some ways Claude) is the fact that we react to our environment in a way that requires computation.

I myself lean (without confidence) towards weak panpsychism, where a lot of things down from humans to cats to fish to trees to bacteria are in some way sentient. We all have in common a computationally driven sense/"think"/act cycle, and that is where it derives from.

1 comments

The problem with robots is, again, humanity has yet to build a robot with the intelligence of a cockroach, or apparent conscious agentic behavior of a nematode. If I see such a robot I will update my views on machine consciousness. I don't think either of us will live that long.

The problem with the "computational functionalist" argument is that a) there's ZERO evidence other animals brains are computational, that is begging the question; and b) pretty much any embedded system is a device that reacts to its environment in a way that requires computation, and none of them have anything close to the psuedoconsciousness of a bacteria. let alone an insect. Point a) is the more important one: only humans have meaningfully Turing-complete brains. Other animals might be hardware-capable but they'll never be trained to correctly execute a program, nor does their own intelligence seem especially amenable to being described by a classical symbolic algorithm - e.g. animals are very good at object identification, quantity discrimination, causal reasoning, and we don't have anything close to a symbolic algorithm for any of these[1]. Computation is linked to the ability to communicate symbolically, and most animals do not regardless of intelligence. The idea that "the brain is a computer" has always been a poetic description, not a scientific fact. It is more correct to say humans have the ability to think computationally because we think symbolically. Again, maybe someone can identify that animals do think symbolically even if they don't communicate that way, or (somehow) we will have a non-symbolic theory of computation. Perhaps a beautiful symphony. Absent either of these two things, "the chimpanzee's brain is like a computer" is simply not scientific.

The supposed "sense/think/act cycle" is just you begging the question again, applying a computational aesthetic in place of understanding; this time it's blatantly false. Animals do not have a "cycle": sensing is an act and processing senses is a thought. Thinking is an act and many animals can perceive themselves thinking (demonstrated in crows and chimps). Dogs think very deeply while they smell, and the manner in which they sniff (tentative whiff versus greedy huffs) is itself an act requiring thought. Most importantly: even in animals, thoughts can be totally disconnected from actions and senses. Actually this might be the most major difference between a pigeon and Claude: their thoughts and actions are not directly tied to environmental stimulus, whereas Claude can only think and act according to a short-term context provided by a human. You can fake an agentic loop with a prompt, but it's not convincing agency the way a nematode has convincing agency. It's just a chatbot in a loop. If you expose it to real sensory data like a webcam, the agentic behavior becomes even more brittle and unconvincing. It's just nothing like an animal.

[1] I know there's work being done on formal causal reasoning, I thought this monograph was interesting: https://direct.mit.edu/books/oa-monograph/3451/Actual-Causal.... I am not convinced by it. The funny thing about these causal theories... they don't have a causal explanation :) :) :) The argument works by going through cases until you agree it works, empirically, possibly after complicating things further by patching out oversights and inadequacies. Very amusing. Causality is a tough nut to crack!