On 8/9/08, Matt Mahoney <[EMAIL PROTECTED]> wrote:
>
> 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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>
I'm not saying that speech recognition is equivalent to human language
understanding, I'm arguing that speech recognition could be improved to the
point it can recognise almost every speaker at an speed in any accent.

But the point wasn't really about speech but more at about classification in
general.

I'm not proposing to solve it with a millions dollars or trillion etc.
My argument is the exact opposite, that it is too large to even be attempted
by any set pool of funding.

What I was suggesting is that a "gold rush" type situation form around the
building of classifiers, such as that occurred with website creation. There
are millions trying to get an income onlne creating content for adsense and
affilate programs (and for free with wikipedia and open source). Most will
fail at generating reasonable income but in the process a large amount of
wealth has been created. The same could be done for classifiers/artifical
intelligence. It would require just collecting a thousand or two pieces of
data (image/sudio/text) to create a classifier, an effort similar to
creating a small website. For each use of the classifier at customer would
pay, say some fraction of cent (or whatever the market will bare).

Your distributed system is more at the level of communicating bits of data
around, and is more of in the league of email, im, or perhaps semantic web
type thing (see rdf, owl etc. tim berner's lee). I'm talking about a
marketplace of entrepreneurs and individuals creating a hierarchical system
of classifiers.

At every stage (10 classifiers, 1000, million classifiers) classifiers would
be earning money for their  creators. Surveillance technology for example,
is already deployed, working with just people and face detectors, two
categories of object, whereas at least a million more categories need to
built (humans can detect at least a million categories of activity, probably
much more). At a critical mass, the web of classifiers would take the same
action a human would take in any given situation.

These classification algorithms are already available, boosting, random
forests, support vector machine, and it would require some companies to host
them and make them easily available so that ordinary people can start using
them and get the ball rolling (how blogs and adsense made it easy for people
to easily publish and monetize their content).



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agi
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