He doesn't have is a fully temporal semantic database structure with a
generative normalization pattern matcher/vectorized scale free calculation
minimizer... I.e. the G in AGI. In other words, he's missing the minimal
concept basis for processing that has an optimal scalability while
minimizing complexity, without that it's a crap shoot if someone will ever
succeed in making a better than human level AGI that isn't just brute
forcing human intelligence by putting too much human knowledge in a system
and claiming it is better than human level intelligence while it is
actually less than human level due to a complete lack of creativity.

Even worse, the deepest problem that nobody ever thinks about is the
knowledge representation system... they all have static/fragile designs,
Hawkins' products are really bad even in the sorta neural-net form he has
is fucking self-crippling in the number of associations that can be built
up. I've never seen a fucking neural-network capable of self-reflection and
differentiation, among many other conceptual paradoxical forms humans have
no problems thinking about..




On Thu, Apr 3, 2014 at 1:44 PM, Mike Archbold <[email protected]> wrote:

> Long article, but interesting.  It sounds like he's built the input
> but not the output, the motor control.  I don't think there is any
> convincing argument about what paradigms to use for strong AI / AGI
> since there isn't a working such thing yet.  Some math-first
> approaches seem like they want to lose you with the formula, otherwise
> I like math....
>
> On 4/3/14, John Rose <[email protected]> wrote:
> > You don't have enough math here.
> >
> >
> >
> > People are now looking more at the mathematical formalisms of software
> > systems. There are so many and of such variety.
> >
> >
> >
> > Hawkins has one approach not the only approach.
> >
> >
> >
> > He's hardcoding the components mimicked from biological intelligence. Are
> > there more efficient and easier to build components and are there
> > components
> > that morph? His don't morph. It looks to me like hardcoded AI BUT I
> haven't
> > studied the system.
> >
> >
> >
> > John
> >
> >
> >
> >
> >
> > From: Azn A [mailto:[email protected]]
> >
> >
> >
> > http://www.theregister.co.uk/2014/03/29/hawkins_ai_feature
> >
> >
> >
> > "These are complex biological systems that were not designed by
> > mathematical
> > principles [that are] very difficult to formalize completely," he told
> us.
> >
> >
> >
> > "This reminds me a bit of the beginning of the computer era," he said.
> "If
> > you go back to the 1930s and early 1940s, when people first started
> > thinking
> > about computers they were really interested in whether an algorithm would
> > complete, and they were looking for mathematical completeness, a
> > mathematical proof. If you today build a computer, no one sits around
> > saying
> > 'let's look at the mathematical formalism of this computer.' It reminds
> me
> > a
> > little about that. We still have people saying 'You don't have enough
> math
> > here!'
> >
> >
> >
> >
> >
> >
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