You're not getting where I'm coming from at all. I totally agree vision is far 
prior to language. (We and I've covered your points many times). That's not the 
point - wh. is that vision is nevertheless still vastly more complex, than you 
have any idea.

For one thing, vision depends on perceptualising/ conceptualising the world - a 
schematic ontology of the world - image-schematic. It almost certainly has to 
be done in a certain order, gradually built up.

No one in our culture has much idea of either what that ontology - a visual 
ontology - consists of, or how it's built up.

And for the most basic thing, you still haven't registered that your computer 
program has ZERO VISION. It's not actually looking at the world at all. It's 
BLIND - if you take the time to analyse it. A pretty fundamental error/ 
misconception.

Consequently, it also lacks a fundamental dimension of vision, wh. is 
POINT-OF-VIEW - distance of the visual medium (eg the retina) and viewing 
subject from the visual object. 

Get thee to a roboticist, & make contact with the real world.


From: David Jones 
Sent: Tuesday, June 29, 2010 6:42 PM
To: agi 
Subject: Re: [agi] A Primary Distinction for an AGI


Mike, 

THIS is the flawed reasoning that causes people to ignore vision as the right 
way to create AGI. And I've finally come up with a great way to show you how 
wrong this reasoning is. 

I'll give you an extremely obvious argument that proves that vision requires 
much less knowledge to interpret than language does. Let's say that you have 
never been to egypt, you have never seen some particular movie before.  But if 
you see the movie, an alien landscape, an alien world, a new place or any such 
new visual experience, you can immediately interpret it in terms of spacial, 
temporal, compositional and other relationships. 

Now, go to egypt and listen to them speak. Can you interpret it? Nope. Why?! 
Because you don't have enough information. The language itself does not contain 
any information to help you interpret it. We do not learn language simply by 
listening. We learn based on evidence from how the language is used and how it 
occurs in our daily lives. Without that experience, you cannot interpret it.

But with vision, you do not need extra knowledge to interpret a new situation. 
You can recognize completely new objects without any training except for simply 
observing them in their natural state. 

I wish people understood this better.

Dave


On Tue, Jun 29, 2010 at 12:51 PM, Mike Tintner <[email protected]> wrote:

  Just off the cuff here - isn't the same true for vision? You can't learn 
vision from vision. Just as all NLP has no connection with the real world, and 
totally relies on the human programmer's knowledge of that world. 

  Your visual program actually relies totally on your visual "vocabulary" - not 
its own. That is the inevitable penalty of processing unreal signals on a 
computer screen which are not in fact connected to the real world any more than 
the verbal/letter signals involved in NLP are.

  What you need to do - what anyone in your situation with anything like your 
asprations needs to do - is to hook up with a roboticist. Everyone here should 
be doing that.



  From: David Jones 
  Sent: Tuesday, June 29, 2010 5:27 PM
  To: agi 
  Subject: Re: [agi] A Primary Distinction for an AGI


  You can't learn language from language without embedding way more knowledge 
than is reasonable. Language does not contain the information required for its 
interpretation. There is no *reason* to interpret the language into any of the 
infinite possible interpretaions. There is nothing to explain but it requires 
explanatory reasoning to determine the correct real world interpretation


    On Jun 29, 2010 10:58 AM, "Matt Mahoney" <[email protected]> wrote:


    David Jones wrote:
    > Natural language requires more than the words on the page in the real 
world. Of...

    Any knowledge that can be demonstrated over a text-only channel (as in the 
Turing test) can also be learned over a text-only channel.


    > Cyc also is trying to store knowledge about a super complicated world in 
simplistic forms and al...

    Cyc failed because it lacks natural language. The vast knowledge store of 
the internet is unintelligible to Cyc. The average person can't use it because 
they don't speak Cycl and because they have neither the ability nor the 
patience to translate their implicit thoughts into augmented first order logic. 
Cyc's approach was understandable when they started in 1984 when they had 
neither the internet nor the vast computing power that is required to learn 
natural language from unlabeled examples like children do.


    > Vision and other sensory interpretaion, on the other hand, do not require 
more info because that...

    Without natural language, your system will fail too. You don't have enough 
computing power to learn language, much less the million times more computing 
power you need to learn to see.


     
    -- Matt Mahoney, [email protected]




    ________________________________
    From: David Jones <[email protected]>
    To: agi <[email protected]...

    Sent: Mon, June 28, 2010 9:28:57 PM 

    Subject: Re: [agi] A Primary Distinction for an AGI


    Natural language requires more than the words on the page in the real 
world. Of course that didn't ...

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