Interesting! Graziano's Attention Schema Theory is also basically the same: he proposes consciousness to be found in our models of our own attention, and that these models evolved to help control attention. To be clear, though, it's not the mere fact of modelling or controlling attention, but that attention is modelled in a way that makes it seem mysterious or unphysical, and that's what explains our intuitions about phenomenal consciousness.[1]
In the attention schema theory (AST), having an automatically constructed self-model that depicts you as containing consciousness makes you intuitively believe that you have consciousness. The reason why such a self-model evolved in the brains of complex animals is that it serves the useful role of modeling, and thus helping to control, the powerful and subtle process of attention, by which the brain seizes on and deeply processes information.
Suppose the machine has a much richer model of attention. Somehow, attention is depicted by the model as a Moray eel darting around the world. Maybe the machine already had need for a depiction of Moray eels, and it coapted that model for monitoring its own attention. Now we plug in the speech engine. Does the machine claim to have consciousness? No. It claims to have an external Moray eel.
Suppose the machine has no attention, and no attention schema either. But it does have a self-model, and the self-model richly depicts a subtle, powerful, nonphysical essence, with all the properties we humans attribute to consciousness. Now we plug in the speech engine. Does the machine claim to have consciousness? Yes. The machine knows only what it knows. It is constrained by its own internal information.
AST does not posit that having an attention schema makes one conscious. Instead, first, having an automatic self-model that depicts you as containing consciousness makes you intuitively believe that you have consciousness. Second, the reason why such a self-model evolved in the brains of complex animals, is that it serves the useful role of modeling attention.
Since consciousness seems useful for all these different species, in a convergent-evolution pattern even across very different brain architectures (mammals vs birds), then I believe we should expect it to be useful in our homonid-simulator-trained model. If so, we should be able to measure this difference to a next-token-predictor trained on an equivalent number of tokens of a dataset of, for instance, math problems.
What do you mean by difference here? Increase in performance due to consciousness? Or differences in functions?
I'm not sure we could measure this difference. It seems very likely to me that consciousness evolved before, say, language and complex agency. But complex language and complex agency might not require consciousness, and may capture all of the benefits that would be captured by consciousness, so consciousness wouldn't result in greater performance.
However, it could be that
Some other possibilities:
Sorry for the late response.
If people change their own preferences by repetition and practice, then they usually have a preference to do that. So it can be in their own best interests, for preferences they already have.
I could have a preference to change your preferences, and that could matter in the same way, but I don’t think I should say it's in your best interests (at least not for the thought experiment in this post). It could be in my best interests, or for whatever other goal I have (possibly altruistic).
In my view, identity preservation is vague and degreed, a matter of how much you inherit from your past "self", specifically how much of your memories and other dispositions.
Someone could fail to report a unique precise prior (and one that's consistent with their other beliefs and priors across contexts) for any of the following reasons, which seem worth distinguishing:
I'd be inclined to treat all three cases like imprecise probabilities, e.g. I wouldn't permanently commit to a prior I wrote down to the exclusion of all other priors over the same events/possibilities.
Harsanyi's theorem has also been generalized in various ways without the rationality axioms; see McCarthy et al., 2020 https://doi.org/10.1016/j.jmateco.2020.01.001. But it still assumes something similar to but weaker than the independence axiom, which in my view is hard to motivate separately.
Violating the Continuity Axiom is bad because it allows you to be money pumped.
Violations of continuity aren't really vulnerable to proper/standard money pumps. The author calls it "arbitrarily close to pure exploitation" but that's not pure exploitation. It's only really compelling if you assume a weaker version of continuity in the first place, but you can just deny that.
I think transitivity (+independence of irrelevant alternatives) and countable independence (or the countable sure-thing principle) are enough to avoid money pumps, and I expect give a kind of expected utility maximization form (combining McCarthy et al., 2019 and Russell & Isaacs, 2021).
Against the requirement of completeness (or the specific money pump argument for it by Gustafsson in your link), see Thornley here.
To be clear, countable independence implies your utilities are "bounded" in a sense, but possibly lexicographic. See Russell & Isaacs, 2021.
FWIW, users can at least highlight text in a post to disagree with.