It's just math. https://en.wikipedia.org/wiki/Central_limit_theorem
When you add random variables, you add their means and variances and
the sum tends to a Gaussian curve. When you multiply instead of add,
the same thing happens when you take the log of the distributions.
On Fri, Jun 15, 2018 at
On Thu, Jun 14, 2018 at 8:04 PM Mark Nuzz via AGI wrote:
>
> The Singularity analogy was never intended to imply infinite power. Rather it
> represents a point at which understanding and predictability breaks down and
> becomes impossible.
Agreed. Vinge called it an "event horizon" on our
On Thu, Jun 14, 2018 at 10:40 PM Steve Richfield via AGI
wrote:
>
> In the space of real world "problems", I suspect the distribution of
> difficulty follows the Zipf function, like pretty much everything else does.
A Zipf distribution is a power law distribution. The reason that power
law
The patent affirms what I was saying - the app/server sees others in the same
movie theater have dimmed their screen so it dims it for that user. Not AGI...
just a db query add-on to a location service..
"As another example, a Service node may reference
an application that controls user device
Kimera - I just looked at this a little and translating - they have a working
"AGI" that can do AI currently and on the roadmap is real AGI but need more
funding for marketing, partnerships and development.
Apparently about 80% non-engineers on their "team/advisers".
The ICO whitepaper page 18
In the space of real world "problems", I suspect the distribution of
difficulty follows the Zipf function, like pretty much everything else does.
The curious thing about the Zipf function is the structure of its extreme
tail - it is finite, it drops off fast, and it doesn't encompass much of
the
The Singularity analogy was never intended to imply infinite power. Rather
it represents a point at which understanding and predictability breaks down
and becomes impossible.
On Jun 14, 2018 3:59 PM, "Matt Mahoney via AGI"
wrote:
> Vinge: when humans produce superhuman AI then so can it, only
Vinge: when humans produce superhuman AI then so can it, only faster. A
singularity in mathematics is a point where a function (like intelligence
over time) goes to infinity. That can't happen in a universe with finite
computing power and finite memory. Or by singularity do you mean when AI
makes
Matt,
My own view is that a human-based singularity is MUCH closer. The problem
is NOT a shortage of GFLOPS or suitable software, but rather, a repairable
problem in our wetware. Sure, a silicon solution might eventually be
faster, but why simply wait until then?
Apparently, I failed to
The singularity list (and SL4) died years ago. The singularity has been 30
years away for decades now. I guess we got tired of talking about it.
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They’ve done demos for Intel in the past IIRC. But the secrecy (and yes, I’m
aware, as irritating as it is) resides in that they haven’t patented it yet,
and are afraid of secrets being stolen. BUT I can show you the high level
architecture and tell you guys now the core system is basically a
Kimera ... I mean they seem like smart people but the rhetoric
associated with the project is sufficiently overblown to make me not
want to pay attention...
On Thu, Jun 14, 2018 at 3:10 PM, MP via AGI wrote:
> Speaking of which, anyone here heard of Kimera Systems and their so-called
> AGI
Speaking of which, anyone here heard of Kimera Systems and their so-called AGI
Nigel? It seems they’re touting a blockchained powered causal inference engine
as this all-encompassing intelligence system.
I’m still on the fence. I’m pretty "in" with the company as it is, but even the
CEO Mounir
That’s a sad scenario, Ben :
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On Wed, Jun 13, 2018 at 10:01 PM, Ben Goertzel wrote:
> I guess whomever was paying the bills for that list (KurzweilAI?) got bored
> and stopped paying it...? On Thu, Jun 14, 2018 at 6:12 AM, Steve Richfield
> via AGI wrote: > I tried
I tried posting on the Singularity forum, but it bounced. What is the story
here?
Steve
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