I think this is a circular argument. It defines a separation between computation and experience (between the abstraction and the "mapmaker") and then concludes that computation cannot be experience because they are in separate categories. There are really only two solutions to the Hard Problem of Consciousness: 1. Consciousness is an unknown physical something (force/particle/quantum whatever). 2. Consciousness is an…
What is a "real" thing and not an "illusion" if you go with #2? Is a car a real thing, or just a collection of atoms? Is an atom a real thing? Or a collection of processes? Is it not turtles all the way down? What is "real"?
The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
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Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#82Earlier quoted context omitted.
Originally rejected the paper premise, but I get it now, certainly made me question my belief that consciousness binds to any arbitrary information processing that's of sufficient complexity. IIUC the author is saying that the human brain is running directly on "layer zero": chemical gradients / voltage changes, while AI computes on an abstraction one layer higher (binary bit flips over discretized dyanmics). In esse…
Is there a layer zero though? What does that even mean? It implies the universe is designed and built upon layers of abstraction. That's just in our heads though, not out there. The layered model is a human abstraction.
a) Actually pouring a cup of water into a pond (layer zero), and
b) Running a fluid dynamics simulation of pouring a cup of water into a pond (some layer above layer zero).Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#83Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#84Earlier quoted context omitted.
Is there a layer zero though? What does that even mean? It implies the universe is designed and built upon layers of abstraction. That's just in our heads though, not out there. The layered model is a human abstraction.
It's the difference between: a) Actually pouring a cup of water into a pond (layer zero), and b) Running a fluid dynamics simulation of pouring a cup of water into a pond (some layer above layer zero).
Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#85I've never understood why certain philosophers view computation as some kind of abstract symbolic manipulation, while they easily accept that consciousness is a physical process. Computation is something that a computer provably does. We build physical hardware, at great effort, to do computation. The hardware works and does the computation regardless of whether there is anyone to understand or interpret it. If it di…
>I've never understood why certain philosophers view computation as some kind of abstract symbolic manipulation The abstraction is over the multitude of different physical ways that computation can be performed. That is the role of abstraction, to separate something from a particular means of implementation so that we can think about computation without having to fix a particular physical process.
But the engine, the electrical circuit, and the computation inside the CPU are objective realities. There could be many other ways to describe and characterize the same physical realities, of course, but that doesn't make them observer-dependent phenomena.
Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#86I would argue that, before we can begin to address whether or not AI can instantiate consciousness, we should agree on a practical, unequivocal definition of what consciousness is... and I think we're still pretty far from that milestone... Until then, this kind of argument are nothing more than pipe dreams, solipsism, and idle philosophising
Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#87I think this is a circular argument. It defines a separation between computation and experience (between the abstraction and the "mapmaker") and then concludes that computation cannot be experience because they are in separate categories. There are really only two solutions to the Hard Problem of Consciousness: 1. Consciousness is an unknown physical something (force/particle/quantum whatever). 2. Consciousness is an…
> Consciousness connotes a kind of external relation, and does not denote a special stuff or way of being. The peculiarity of our experiences, that they not only are, but are known, which their 'conscious' quality is invoked to explain, is better explained by their relations — these relations themselves being experiences — to one another.
Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#88So, how does AI stand? Humans pay their costs. AI is beginning to. It does not matter what we think about it, as long as it can self sustain and reacts to cost gating pressure. Of course not alone, it depends on us too, like we do individually also depend on society.
Re: The Abstraction Fallacy: Why AI can simulate but not instantiate consciousness
#89I think this is a circular argument. It defines a separation between computation and experience (between the abstraction and the "mapmaker") and then concludes that computation cannot be experience because they are in separate categories. There are really only two solutions to the Hard Problem of Consciousness: 1. Consciousness is an unknown physical something (force/particle/quantum whatever). 2. Consciousness is an…
Originally rejected the paper premise, but I get it now, certainly made me question my belief that consciousness binds to any arbitrary information processing that's of sufficient complexity. IIUC the author is saying that the human brain is running directly on "layer zero": chemical gradients / voltage changes, while AI computes on an abstraction one layer higher (binary bit flips over discretized dyanmics). In esse…
But this is just a discretization we impose when we try to represent the system for ourselves. The reality is that the AI is a particular time-ordered relation between the continuous electric fields inside the CPU, GPU, and various other peripherals. We design the system such that we can call +5V "1" and 0V "0", but the actual physical circuits do their work regardless of this, and they will often be at 2V or 0.7V and everywhere in between. The physical circuit works (or doesn't) based exclusively on the laws of electricity, and so the answer of the LLM is a physical consequence of the prompt, just as a standing building is a physical consequence of the relationships between the atoms inside its blocks. The abstract description we chose to use to build this circuit or this building is irrelevant, it's just the map, not the territory.