Jack comments on Less Wrong Rationality and Mainstream Philosophy - Less Wrong
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Comments (328)
Quine's naturalized epistemology: agreed.
Tarski: But I thought you said you were not only influenced by Tarski's mathematics but also his philosophical work on truth?
Chalmers' paper: Yeah, it's mostly useful as an overview. I should have clarified that I meant that Chalmers' paper makes a more organized and compelling case for Good's intelligence explosion than anybody at SIAI has in one place. Obviously, your work (and your debate with Robin) goes far beyond Chalmers' introductory paper, but it's scattered all over the place and takes a lot of reading to track down and understand.
And this would be the main reason to learn something from the mainstream: If it takes way less time than tracking down the same arguments and answers through hundreds of Less Wrong posts and other articles, and does a better job of pointing you to other discussions of the relevant ideas.
But we could have the best of both worlds if SIAI spent some time writing well-referenced survey articles on their work, in the professional style instead of telling people to read hundreds of pages of blog posts (that mostly lack references) in order to figure out what you're talking about.
Bratman: I don't know his influence first hand, either - it's just that I've seen his 1987 book mentioned in several books on AI and cognitive science.
Pearl: Jack beat me to the punch on this.
Talbot: I guess I'll have to read more about what you mean by dissolution to cognitive algorithm. I thought the point was that even if you can solve the problem, there's that lingering wonder about why people believe in free will, and once you explain why it is that humans believe in free will, not even a hint of the problem remains. The difference being that your dissolution of free will to cognitive algorithm didn't (as I recall) cite any of the relevant science, whereas Talbot's (and others') dissolutions to cognitive algorithms do cite the relevant science.
Is there somewhere where you explain the difference between what Talbot, and also Kip Werking, have done versus what you think is so special and important about LW-style philosophy?
As for the others: Yeah, we seem to agree that useful work does sometimes come from philosophy, but that it mostly doesn't, and people are better off reading statistics and AI and cognitive science, like I said. So I'm not sure there's anything left to argue.
The one major thing I'd like clarification on (if you can find the time) is the difference between what experimental philosophers are doing (or what Joshua Greene is doing) and the dissolution-to-algorithm that you consider so central to LW-style philosophy.
I'd like to emphasize, to no one in particular, that the evaluation that seems to be going on here is about whether or not reading these philosophers is useful for building a Friendly recursively self-improving artificial intelligence. While thats a good criteria for whether or not Eliezer should read them, failure to meet this criteria doesn't render the work of the philosopher valueless (really! it doesn't!). The question "is philosophy helpful for researching AI" is not the same as the question "is philosophy helpful for a rational person trying to better understand the world".