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Noam Chomsky irritates me here's why - he's vague, so astonishingly vague that he can hide his uselessness within it. > Chomsky derided researchers in machine
by confluence 14y ago
Noam Chomsky irritates me here's why - he's vague, so astonishingly vague that he can hide his uselessness within it.
> Chomsky derided researchers in machine learning who use purely statistical methods to produce behavior that mimics something in the world, but who don’t try to understand the meaning of that behavior. Chomsky compared such researchers to scientists who might study the dance made by a bee returning to the hive, and who could produce a statistically based simulation of such a dance without attempting to understand why the bee behaved that way.
-- http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-fight-for-the-future-of-ai http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-f...
What does that even mean?
> But the number of parameters in his theory continued to multiply, never quite catching up to the number of exceptions, until it was no longer clear that Chomsky’s theories were elegant anymore. In fact, one could argue that the state of Chomskyan linguistics is like the state of astronomy circa Copernicus: it wasn’t that the geocentric model didn’t work, but the theory required so many additional orbits-within-orbits that people were finally willing to accept a different way of doing things. AI endeavored for a long time to work with elegant logical representations of language, and it just proved impossible to enumerate all the rules, or pretend that humans consistently followed them. Norvig points out that basically all successful language-related AI programs now use statistical reasoning
> But his fundamental stance, which he calls the “algorithmic modeling culture,” is to believe that “nature’s black box cannot necessarily be described by a simple model.” He likens Chomsky’s quest for a more beautiful model to Platonic mysticism, and he compares Chomsky to Bill O’Reilly in his lack of satisfaction with answers that work. “Tide goes in, tide goes out. Never a miscommunication. You can’t explain that,” O’Reilly once said, apparently unsatisfied with physics as an explanation for anything.
-- http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-fight-for-the-future-of-ai http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-f...
AI went wrong when Chomsky came around with his rule based translation ideas that were hideously wrong and probably set us back 20 years - see here:
http://norvig.com/chomsky.html http://norvig.com/chomsky.html
He's a more irritating linguistic version of Richard Dawkins (who doesn't have an active research career).
> Every time I fire a linguist, the performance of the speech recognizer goes up
-- http://en.wikipedia.org/wiki/Frederick_Jelinek http://en.wikipedia.org/wiki/Frederick_Jelinek
- Cacti 14y agoIn which way is he vague? He basically reinvented a Turing Machine with human language and brought linguistics around to the idea that, yes, language isn't something that's vaguely "out there" tabula-rasa-style, it's built into our genetics at a very fundamental level. Fundamental enough that he tied linguistics DIRECTLY to math and from there to programming. The Chomsky Heirarchy is no joke. Your link relating to statistical models is only a tiny, tiny part of Chomsky's fundamental arguments and even then is debatable.
- confluence 14y ago> it's built into our genetics at a very fundamental level. I'm sorry - but when did Chomsky get a degree in biology or neuroscience.
- reso 14y agoChomsky's work has been cited by many papers in both fields.
- confluence 14y agoCitation needed. Which papers and of what importance?
- andreasvc 14y agoBeing cited doesn't mean he has something specific to say about those fields. He's an influential scientist so people may cite him when they found something vaguely related to his theories, to make their findings seem more important.
- Evbn 14y agoIronically, here you are decrying a statistical model of impact factor and yearning for a higher level model of meaning in research.