Yeah, it's weird that Eliezer's metaethics and FAI seem to rely on figuring out "true meanings" of certain words, when Eliezer also wrote a whole sequence explaining that words don't have "true meanings".
For example, Eliezer's metaethical approach (if it worked) could be used to actually answer questions like "if a tree falls in the forest and no one's there, does it make a sound?", not just declare them meaningless :-) Namely, it would say that "sound" is not a confused jumble of "vibrations of air" and "auditory experiences", but a coherent concept that you can extrapolate by examining lots of human brains. Funny I didn't notice this tension until now.
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What's the general algorithm you can use to determine if something like "sound" is a "word" or a "concept"?
If it extrapolates coherently, then it's a single concept, otherwise it's a mixture :)
This may actually be doable, even at present level of technology. You gather a huge text corpus, find the contexts where the word "sound" appears, do the clustering using some word co-occurence metric. The result is a list of different meanings of "sound", and a mapping from each mention to the specific meaning. You can also do this simultaneously for many words together, then it is a global optimization problem.
Of course, AGI would be able to do this at a deeper level than this trivial syntactic one.