If the Turing thesis is correct, AI can, in principle, solve every problem a human can solve. I don’t doubt the Turing thesis and hence would assign over 99% probability to this claim:
At the end of the day, I would aim to convince them that anything humans are able to do, we can reconstruct everything with AIs.
(I’m actually not sure where your 5% doubt comes from—do you assign 5% on the Turing thesis being false, or are you drawing a distinction between practically possible and theoretically possible? But even then, how could anything humans do be practically impossible for AIs?)
But does this prove eliminativism? I don’t think so. A camp #2 person could simply reply something like “once we get a conscious AI, if we look at the precise causal chain that leads it to claim that it is conscious, we would understand why that causal chain also exhibits phenomenal consciousness”.
Also, note that among people who believe in camp #2 style consciousness, almost all of them (I’ve only ever encountered one person who disagreed) agree that a pure lookup table would not be conscious. (Eliezer agrees as well.) This logically implies that camp #2 style consciousness is not about ability to do a thing, but rather about how that thing is done (or more technically put, it’s not about the input/output behavior of a system but an algorithmic or implementation-level description). Equivalently, it implies that for any conscious algorithm A, there exists a non-conscious algorithm A′ with identical input/output behavior (this is also implied by IIT). Therefore, if you had an AI with a certain capability, another way that a camp #2 person could respond is by arguing that you chose the wrong algorithm and hence the AI is not conscious despite having this capability. (It could be the case that all unconscious implementations of the capability are computationally wasteful like the lookup table and hence all practically feasible implementations are conscious, but this is not trivially true, so you would need to separately argue for why you think this.)
Maintaining a belief in epiphenomenalism while all the “easy” problems have been solved is a tough position to defend—I’m about 90% confident of this.
Epiphenomenalism is a strictly more complex theory than Eliminativism, so I’m already on board with assigning it <1%. I mean, every additional bit in a theory’s minimal description cuts its probability in half, and there’s no way you can specify laws for how consciousness emerges with less than 7 bits, which would give you a multiplicative penalty of 1⁄128. (I would argue that because Epiphenomenalism says that consciousness has no effect on physics and hence no effect on what empirical data you receive, it is not possible to update away from whatever prior probability you assign to it and hence it doesn’t matter what AI does, but that seems beside the point.) But that’s only about Epiphenomenalism, not camp #2 style consciousness in general.
If the Turing thesis is correct, AI can, in principle, solve every problem a human can solve. I don’t doubt the Turing thesis and hence would assign over 99% probability to this claim:
(I’m actually not sure where your 5% doubt comes from—do you assign 5% on the Turing thesis being false, or are you drawing a distinction between practically possible and theoretically possible? But even then, how could anything humans do be practically impossible for AIs?)
But does this prove eliminativism? I don’t think so. A camp #2 person could simply reply something like “once we get a conscious AI, if we look at the precise causal chain that leads it to claim that it is conscious, we would understand why that causal chain also exhibits phenomenal consciousness”.
Also, note that among people who believe in camp #2 style consciousness, almost all of them (I’ve only ever encountered one person who disagreed) agree that a pure lookup table would not be conscious. (Eliezer agrees as well.) This logically implies that camp #2 style consciousness is not about ability to do a thing, but rather about how that thing is done (or more technically put, it’s not about the input/output behavior of a system but an algorithmic or implementation-level description). Equivalently, it implies that for any conscious algorithm A, there exists a non-conscious algorithm A′ with identical input/output behavior (this is also implied by IIT). Therefore, if you had an AI with a certain capability, another way that a camp #2 person could respond is by arguing that you chose the wrong algorithm and hence the AI is not conscious despite having this capability. (It could be the case that all unconscious implementations of the capability are computationally wasteful like the lookup table and hence all practically feasible implementations are conscious, but this is not trivially true, so you would need to separately argue for why you think this.)
Epiphenomenalism is a strictly more complex theory than Eliminativism, so I’m already on board with assigning it <1%. I mean, every additional bit in a theory’s minimal description cuts its probability in half, and there’s no way you can specify laws for how consciousness emerges with less than 7 bits, which would give you a multiplicative penalty of 1⁄128. (I would argue that because Epiphenomenalism says that consciousness has no effect on physics and hence no effect on what empirical data you receive, it is not possible to update away from whatever prior probability you assign to it and hence it doesn’t matter what AI does, but that seems beside the point.) But that’s only about Epiphenomenalism, not camp #2 style consciousness in general.