rick the ponderer wrote:
>There was a brief post on a possible path to agi at 
>http://news.ycombinator.com/item?id=271202

The problem with speech recognition is not converting speech into words, but 
converting words into useful actions. "Press 1 or say 'yes'" is not a solution 
to the speech recognition problem.

Your proposal looks similar to my proposal for competitive message routing, 
although lacking in detail.
http://www.mattmahoney.net/agi.html

Either way, it will be expensive. AGI is worth the labor it replaces, valued at 
over US $1 quadrillion worldwide over the next 30 years. When I see proposals 
that purport to solve AGI on a budget of $1 million or $1 billion or even $1 
trillion, I can only shake my head.

 -- Matt Mahoney, [EMAIL PROTECTED]



----- Original Message ----
From: rick the ponderer <[EMAIL PROTECTED]>
To: [email protected]
Sent: Saturday, August 9, 2008 4:18:34 PM
Subject: Re: [agi] brief post on possible path to agi




On 8/9/08, Brad Paulsen <[EMAIL PROTECTED]> wrote:
rick,

Except that the author bases his argument on an inaccurate premise.  See: 
http://www.speech.cs.cmu.edu/ for an excellent speech recognizer.  It's open 
source (has been for at least a decade).  In fact, the Apple (who the author 
omitted) and Microsoft both based their speech recognizers on Sphinx (I know, I 
worked in the ATG research team at Apple that developed their speech 
recognizer).  The Festival project (Google it), also partly hosted at CMU, is a 
world-class speech synthesizer.  Also open source and free to all.  And, there 
are others (eSpeak - based on Festival, GPL and free).

Cheers,

Brad

rick the ponderer wrote:

There was a brief post on a possible path to agi at 
http://news.ycombinator.com/item?id=271202
yesterday. Essentially it involves masses of people creating binary classifiers 
in a economic market system, similar to how content is created on the web today 
(though with a micropayment system rather than advertising supported model).
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I'm the author of the post - 
I don't really know about speech recognizers (i had heard of those and have 
tried using them on my computer, I just meant products widely available to the 
nontechnical public), But my argument is they're not good enought yet 
(otherwise human transcription services wouldn't exist) because enough human 
labelled data hasn't been used to create them, and such an undertaking would 
require many thousands/millions of people (if you include video and text 
recognition).


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