SilasBarta comments on Open Thread: April 2010 - Less Wrong

4 Post author: Unnamed 01 April 2010 03:21PM

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Comment author: SilasBarta 01 April 2010 03:32:35PM 1 point [-]

I know I asked this yesterday, but I was hoping someone in the Bay Area (or otherwise familiar) could answer this:

Monica Anderson: Anyone familar with her work? She apparently is involved with AI in the SF Bay area, and is among the dime-a-dozen who have a Totally Different approach to AI that will work this time. She made this recent slashdot post (as "technofix") that linked a paper (PDF WARNING) that explains her ideas and also linked her introductory site and blog.

It all looks pretty flaky to me at this point, but I figure some of you must have run into her stuff before, and I was hoping you could share.

Comment author: Eliezer_Yudkowsky 01 April 2010 04:53:12PM 3 points [-]

Trust your intuition.

Comment author: Mass_Driver 01 April 2010 05:22:11PM 2 points [-]

Is there a post about when to trust your intuition?

Comment author: [deleted] 01 April 2010 07:22:37PM 2 points [-]

This comment shows when :)

If you don't like that, I think this gives somewhat of a better idea when you should consider it.

Comment author: [deleted] 02 April 2010 03:06:58PM *  1 point [-]

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Comment author: pjeby 02 April 2010 01:05:38AM 1 point [-]

It all looks pretty flaky to me at this point, but I figure some of you must have run into her stuff before, and I was hoping you could share.

It looks like a biology-inspired, predictive approach somewhat along the lines of Hawkins' HTMs, except that I've not seen her implementation details spelled out as thoroughly as Hawkins'.

Her analysis seems sound to me (in the sense that her proposed model quite closely matches how humans actually get through the day), except that she seems to elevate certain practical conclusions to a philosophical level that's not really warranted (IMO).

(Of course, I think there would likely be practical problems with AN-based systems being used in general applications -- humans tend to not like it when machines guess, especially if they guess wrong. We routinely prefer our tools to be stupid-but-predictable over smart-but-surprising.)