Goodness.  I have to tell you, Colin, your style of discourse just SOUNDS so
insane and off-base, it requires constant self-control on my part to look
past that and focus on any interesting ideas that may exist amidst all the
peculiarity!!

And if **I** react that way, others must react that way more strongly,
because I'm rather tolerant of wackiness of most sorts...

So, I must suggest that if you want folks to take your ideas seriously, you
should try to find different ways of expressing them...

ben

On Fri, Dec 19, 2008 at 5:06 PM, Colin Hales
<[email protected]>wrote:

>
>
> Mike Tintner wrote:
>
> Colin:The part of my idea that freaks everyone out is that there is no
> programming involved. You can adjust the firmware settings for certain
> intrinsic properties of the dynamics of the EM fields. But none of these
> things correspond in any direct way to 'knowledge' or intelligence. The
> chips (will) do what brain material does, but without all the bio-overheads.
>
> If I remember right, you're embodying the objection of a comment there,
> which said basically: "but the brain is just firmware and data - there is no
> software." Well,. this dynamic approach is potentially fine and exciting.
> But as exposition it suffers from the lack of an example. How will your
> machine first a) perceive objects in the world, (even if it's an artificial
> world), then b) associate responses to those objects, and c) choose between
> alternative responses - all *without* software?  (The basics of
> intelligence). I'm not asking for the whole theory, just your v. basic idea
> of how your firmware approach will begin to produce an intelligent response
> without prior guidance. Without that, people clearly won't "get the idea" as
> you suggest. (De Bono offers some such idea somewhere - The Mechanism of
> Mind, I think).
>
> P.S. I don't believe your thesis that a "cane toad killer" has its
> "learning capability" switched off. That's the sort of thing I expect from
> ethologists who treat animal behaviours as if they're completely wired in.
> But I would think any roboticist would appreciate that that's impossible -
> no matter how restricted the repertoire of an animal, if it's living in the
> real world, it will continually confront variations on its problem-solving -
> cane toads say in unusual places and positions - that demand a fresh
> adaptive response and learning.
>
>
> The point is very subtle. This is how product deployment occurs.
>
> I have an 'empty *but supercharged* AGI' at my 'factory'.
> I hook it to a 'cane toad killer' body.
> We get the basic physiology of motions sorted.
> Then....I teach it to be a cane toad killer.
> In it's supercharged state it'll *also be able to learn maths and really
> bad tennis!*
> But I don't teach it that.
> I put it through 'cane toad killer boot camp'.
>
> When it can cope with all manner of field (as in Australian bush) -based
> novelty associated with being a cane toad killer able to sniff out cane
> toads .... then I clamp down on those areas of brain dynamics that mean it
> can rapidly acquire new knowledge in other areas . All existing knowledge,
> the dynamics of being a cane toad killer  - these will remain. Nothing you
> can do to the robot will enable further learning. This will be mission-fatal
> for some cane toad killers who, say, fail to recognise very novel threats.
> Just like real cane toads don;t recognise the threat of the motor car tyres.
> I can teach the CTK to avoid traffic.
>
> This 'nobbling' is quite plausible in the chip architecture. It's what
> happens in nervous systems. You can't just 'flip s switch' to turn on the
> advanced learning. The delivered hardware itself will be constructed to be a
> cane toad killer and nothing else. I download and 'burn' a specific
> version/subset of the chip which is 100% cane toad killer and is unable to
> become anything else for the same reason cane toads can't learn maths.
>
> Meanwhile I go on to the next project for the '*supercharged* AGI'. Say...
> the 'smart weed killer' that lives with farmers and knows exactly what a
> weed looks like, eats it into a DNA-dead state and then shits it into the
> farmer's soil. Release a small flock of these into a field... no more
> chemical fertiliser. They can't reproduce. They return to base if they are
> sick (or their associates carry them back).
>
> We only need 1 'supercharged' AGI. It will have to cooperate with us to
> create these little beasties.
>
> You are perfectly right that existing robotics experts will say the kind of
> learning is impossible. For existing robots that's true. But then I'm not
> having anything to do with existing robots, am I?
>
> Another favourite application for me "the incorruptable and relentlessly
> honourable company". That it, a 'legal entity' incorprated literally to
> inhabit the role of a company. It literally 'feels' the balance sheet and
> revenue statements. It panics about cash flows. Feels extatic when profit is
> good. No longer do we need 'rules of incorporation'. The company literally
> IS the AGI. If the company "goes bad" you take it out and shoot it. The
> process of giving birth to a real company is literally giving birth to s
> specialist AGI - the actual company itself attends board meetings... fun eh!
> The hard question - do you invite it to the coporate dance night? He he.
>
> cheers,
> colin hales
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[email protected]

"I intend to live forever, or die trying."
-- Groucho Marx



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agi
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