@ [the big] Azzzz,
You're not Black.
#1- Black people use capital B's to describe themselves; #2 - they prefer to
use the words "African" or "African-American" to Black; #3 - they don't define
themselves by their ability to use expletives; and finally #4 - they know
that spelling cool with a k isn't.
So I'd appreciate you being yourself, and being real.
You're reminding me a lot of Mike Tintner--only he said AGI couldn't be done
becauseit is impossible, no one will ever know how. Now you're saying AGI
can't be donebecause other people currently don't know how, but you do.
Omoshiroi...
~PM
Date: Fri, 4 Apr 2014 01:10:46 -0700
Subject: Re: [AGI] Jeff Hawkins says 2014 is the year !
From: [email protected]
To: [email protected]
"I'm not sure I'd drop so many f-bombs"
That's because you're not black or kool like me ;).
On Thu, Apr 3, 2014 at 3:51 PM, Sergio Donal <[email protected]> wrote:
I also read it several years ago and do not remember pretty much either, but
the thought that comes to my mind is that he was speaking that we are basically
predicting the environment, either spatially, temporally or any other feature.
So prediction is a form of "completion the scene" and there is where creativity
comes up, we predict the current scene based in our past observations (and
completions) but since the scene may be new, we are applying past experience to
solve new problems. Or something like that...
Now I realize, doesn't this sound kind of Bayesian?
On Thu, Apr 3, 2014 at 11:28 PM, Mike Archbold <[email protected]> wrote:
I'm not sure I'd drop so many f-bombs, but I had the feeling he's got
a good compression/pattern match overall command scheme, and not
math-heavy to boot, but not sure if he's got the ability to solve
general problems. In other words, what is the processing structure
for solving problems? I've read On Intelligence, 10 years ago, but
have at present only a superficial understanding of his approach.
On 4/3/14, Azn A <[email protected]> wrote:
> 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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