[PolyList] Breif Introduction, Specific Site Recommendation

[Monica Anderson]

Hi David,

If you like Peter you might find his talk on our video site http://videos.syntience.com 
  interesting.

I'm CEO of a research company working on an entirely new approach to  
problems that require intelligence. You can see two of my talks on  
that same site. Please don't circulate that URL too widely yet, since  
we want to add one more video to the set for maximal impact. We're  
working on what we call Model Free Methods and especially on our own  
MFM named Artificial Intution. See http://artificial-intuition.com for  
an introduction. Peter's talk touched on what Google calls Non- 
parametric Methods; the example he gave was based on Table Lookup  
which is in fact a (primitive) MFM.

If you want to discuss what to study in the AI field you might benefit  
from reading my blog at http://monicasmind.com

We're on the Big Data boat ourselves. Our goal is to crate software  
based systems that can learn the way children do and actually  
*understand* what they have learned. Understanding is a prerequsite  
for reasoning, which is what AI has been overly preoccupied with until  
now.

Oh, I ran into Eric Baum last night at a function here in Silicon  
Valley. A nice place to be. If you want intellectual action, you have  
to live here. If you already do, check out http://aimeetup.org .

  - Monica

On Sep 17, 2009, at 17:10 , David Salamon wrote:

> Hey guys,
>
> I'm not sure which keyword you bid on, but your gmail ad managed to  
> be perfectly placed on a recent College of Creative Studies (ccs.ucsb.edu 
> ) administrative email. This project looks awesome :-)
>
> I'm a big fan of Peter Norvig's, and in one of his recent talks he  
> harped on the idea that young projects should leverage other  
> people's data as much as possible.
>
> Or to put it another way: since we now produce more data than we  
> know what to do with, even small teams can make a big contribution  
> if they focus on reuse and organization.
>
> I'm sure you've already discussed it, but using all the open  
> courseware lectures on your site would rapidly help fill out your  
> corse catalogue... Interdisciplinary bonus points could be had by  
> making it easy to see "what I just saw, but from a different  
> instructor" (so Stanford's version rather than MIT's, then Berkely's  
> if Stanford's also sucked), and by interlinking the videos (links to  
> applications of what you just had explained).
>
> Hopefully that made sense :-p
>
> Anyway, I'm a 7th year College of Creative Studies Computer Science  
> student with interests in:
>
> * Machine Learning (Eric Baum's Hayek Machine, Hinton's recent work  
> with restricted boltzman machines)
> * Weirdo programming languages (smalltalk, lisp, ruby, haskell, etc)
> * Direct Response Marketing (Caples, Collier, Hopkins, Ogilvy, etc)
> * Cognitive Biases (Cialdini, Munger's Seeking Wisdom, Kahneman &  
> Tversky, etc)
> * Management (Peopleware, Mythical Man Month, etc, etc)
> * Entrepreneurship (Stephen Gary Blank, Craig Newmark, Seneca)
>
> And a bunch of dryer supporting subjects for the above that I'll  
> spare you :-)
>
> Who else is on here? Anyone near Santa Barbara?
>
> Looking forward to learning more about you,
> David
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