I just want to flag that assuming that humans and other animals are conscious because they have brains is not superstition in the same way that inferring consciousness from behavior is. I assume you concede these are two different leaps of inference.

It’s not clear how it follows from the brain being interpreted as an information processor that the phenomenon of consciousness emerges. Many objects can be interpreted as processing information (even computers not running AI); are you asserting they’re all conscious as well? How does nature decide what counts as information? The only causal power I see in nature is physics, not information, so this account isn’t super coherent to me.

> are you asserting they’re all conscious as well?

I think the only part you're not understanding from what I said is the keyword "emergent". If you understand what that word means, you will understand the difference between a calculator and a sufficiently large neural net, or a neural net that is organized in a particular way.

> How does nature decide what counts as information?

Nature doesn't "decide" anything, it just "is". "Information" is a human construct, but it can be measured objectively (see Shannon Entropy for the tip of the iceberg).

> The only causal power I see in nature is physics, not information

Then you're missing some perspective. Not to over-anchor on one guy or one concept, but see for example (I am sharing a pop science publication here but there is no shortage of more serious materials on the subject): https://mindmatters.ai/2021/05/it-from-bit-what-did-john-arc...

I appreciate the helpful links, and I do have training in physics so the sense in which information is described in physics is not lost on me (it's essential to even 19th century thermal physics). However, there is a discrepancy between information as it relates to quantum states, entropy, and information as it relates to interpreting bits in a computer program. Computers purely operate on bits in a computer program, relying on the underlying physics of the implementing substrate to carry out the operations. The actual physical process carrying out the steps of a program can rely on anything with causal powers to run a Turing machine--it can be an elaborate system of beer cans, mice and cheese, water pipes, or silicon. On the level of physics (quantum, entropy, whatever), the actual amount of information could be constant along a range of programs, some of which can pass the Turing test for humans, but most of which won't. This would suggest to me that if consciousness names a physical phenomenon, it's not to be found in a description of a computer program--therefore programs are not causally sufficient to produce consciousness, only a particular pattern of behavior salient to humans.

It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first.

What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing.

I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.

My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461