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pwno comments on Recommended reading for new rationalists - Less Wrong
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Okay, I have to ask: what exactly is so great about GEB? I see it get highly praised, and Eliezer_Yudkowsky goes overboard with praise for it, but I don't understand what's so great. (Yes, the page warns the content may be obsolete, but I think he still stands by that part.)
I've read almost all of it, and while it was enjoyable reading, I don't understand how it's useful as rationalist reading, or for AI. It's just a bunch of neat observations strung together, and a long (but helpful) explanation of Goedel's Theorem. In talking about AI, all I found were ideas that seem quaint now and were bad ideas even at the time, like using semantic nets to attempt to solve visual analogy problems. (ETA: There's also no mention of Bayesian inference or anything like it.)
So, could anyone who agrees with this recommendation, please explain what is good about GEB from a rationalist or AI perspective? Be as specific as you can.
It's a good book to introduce people to a reductionist perspective on consciousness.
Then it's waaaaaay too long to use as an introduction! In any case, I don't feel I gained in any insight on that topic after reading it.
Agreed. I found it entertaining fluff (but I was familiar with mathematical logic already). What do those who rate it highly here see in it?
I didn't rate it, but I think it should be on any aspiring intellectual's to-be-eventually-read list. It's so flipping clever!
Metamagical Themas, Hofstadter's collection of Scientific American columns, might be slightly better for rationalist reading. It's thick, but you can pick and choose what columns to read. And there's sections on rationality and game theory that would be titillating to any beginner.
Now that I will have to agree with you on, but only because the essays are self-contained so you can just read the good stuff. Among other things, here's what's relevant to rationality and AI:
-The discussion on typography, which I found very interesting. Hofstadter makes a good case that general character recognition is AI-complete. ("The central problem of AI is 'What is "A" and what is "I"?'")
-The three-part intro to Lisp, which gives you a good and short (though IMHO too gushing) intro to what's useful about Lisp.
-A great discussion on analogies that starts from "Who is the First Lady (president's wife) of England, if the prime minister is Margaret Thatcher (a woman)?" That's useful for understanding intelligence.
There is an article that explains how perfectly rational people should play a game while realizing the other people are also perfectly rational. You can see some of it on Google Books and an overview at Wikipedia.
Wikipedia - Superrationality has an explanation of his take on the Prisoner's Dilemma.
It's a great book overall, but I did skip a few articles.