Paradiddle
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I don't think so. Compare the following two requests:
(1) Describe a refrigerator without using the word refrigerator or near-synonyms.
(2) Describe the structure of a refrigerator in terms of moving parts and/or subprocesses.
The first request demands the tabooing of words; the second request demands an answer of a particular (theory-laden) form. I think the OPs request is like request 2. What's more, I expect submitting request 2 to a random sample of people would license the same erroneous conclusion about "refrigerator" as it did about "consciousness".
This is not to say there are no special challenges associated with "consciousness" that do not hold for "refrigerator". Indeed, I believe there are. However, the basic point... (read more)
Section 1.6 is another appendix about how this series relates to Philosophy Of Mind. My opinion of Philosophy Of Mind is: I’m against it! Or rather, I’ll say plenty in this series that would be highly relevant to understanding the true nature of consciousness, free will, and so on, but the series itself is firmly restricted in scope to questions that can be resolved within the physical universe (including physics, neuroscience, algorithms, and so on). I’ll leave the philosophy to the philosophers.
At the risk of outing myself as a thin-skinned philosopher, I want to push back on this a bit. If we are taking "philosophy of mind" to mean, "the kind of work... (read more)
I strongly believe that step 1 is sufficient or almost sufficient for step 2, i.e., that it's impossible to give an adequate account of human phenomenology without figuring out most of the computational aspects of consciousness.
Apologies for nitpicking, but your strong belief that step 1 is (almost) sufficient for step 2 would be more faithfully re-phrased as: it will (probably) be possible/easy to give an adequate account of human phenomenology by figuring out most of the computational aspects of consciousness. The way you phrased it (viz., "impossible...without") is equivalent to saying that step 1 is necessary for step 2, an importantly different claim (on this phrasing, something besides the computational aspects may be required). Of course, you may think it is both necessary and sufficient, I'm just pointing out the distinction.
I agree with the thrust of this comment, which I read as saying something like "our current physics is not sufficient to explain, predict, and control all macroscopic phenomena". However, this is a point which Sean Carroll would agree with. From the paper under discussion (p.2): "This is not to claim that physics is nearly finished and that we are close to obtaining a Theory of Everything, but just that one particular level in one limited regime is now understood."
The claim he is making, then, is totally consistent with the need to find further approximations and abstractions to model macroscopic phenomena. His point is that none of that will dictate modifications to... (read more)
I see. I'm afraid I don't have much great literature to recommend on computational semantics (though Josh Tenenbaum's PhD dissertation seems relevant). I still wonder whether, even if you disagree with the approaches you have seen in that domain, those might be the kind of people well-placed to help with your project. But that's your call of course.
Depending on your goals with this project, you might get something out of reading work by relevance theorists like Sperber, Wilson, and Carston (if you haven't before). I find Carston's reasoning about how various aspects of language works quite compelling. You won't find much to help solve your mathematical problems there, but you might find considerations that help you disambiguate between possible things you want your model of semantics to do (e.g., do you really care about semantics, per se, or rather concept formation?).
Thanks for the response. Personally, I think your opening sentence as written is much, much too broad to do the job you want it to do. For example, I would consider "natural language semantics as studied in linguistics" to include computational approaches, including some Bayesian approaches which are similar to your own. If I were a computational linguist reading your opening sentence, I would be pretty put off (presumably, these are the kind of people you are hoping not to put off). Perhaps including a qualification that it is classical semantics you are talking about (with optional explanatory footnote) would be a happy medium.
I enjoyed the content of this post, it was nicely written, informative, and interesting. I also realise that the "less bullshit" framing is just a bit of fun that shouldn't be taken too seriously. Those caveats aside, I really dislike your framing and want to explain why! Reasons below.
First, the volume of work on "semantics" in linguistics is enormous and very diverse. The suggestion that all of it is bullshit comes across as juvenile, especially without providing further indication as to what kind of work you are talking about (the absence of a signal that you are familiar with the work you think is bullshit is a bit galling).
Second, this work might... (read more)
Fair enough if literally any approach using symbolic programs (e.g. a python interpreter) is considered neurosymbolic, but then there isn't any interesting weight behind the claim "neurosymbolic methods are necessary".
If somebody achieved a high-score on the ARC challenge by providing the problems to an LLM as prompts and having it return the solutions as output, then the claim "neurosymbolic methods are necessary" would be falsified. So there is weight to the claim. Whether it is interesting or not is obviously in the eye of the beholder.
I think the kind of sensible goalpost-moving you are describing should be understood as run-of-the-mill conceptual fragmentation, which is ubiquitous in science. As scientific communities learn more about the structure of complex domains (often in parallel across disciplinary boundaries), numerous distinct (but related) concepts become associated with particular conceptual labels (this is just a special case of how polysemy works generally). This has already happened with scientific concepts like gene, species, memory, health, attention and many more.
In this case, it is clear to me that there are important senses of the term "general" which modern AI satisfies the criteria for. You made that point persuasively in this post. However, it is also... (read more)
I think you are very confused about how to interpret disagreements around which mental processes ground consciousness. These disagreements do not entail a fundamental disagreement about what consciousness is as a phenomenon to be explained.
Regardless of that though, I just want to focus on one of your "referents of consciousness" here, because I also think the reasoning you provide for your particular claims is extremely weak. You write the following
The behavioural capacity you describe does not suffice... (read more)