Jim
That sounds like a fun idea. If you used the method I shared, or any other one
similar, you could interrogate Watson (and any other such programs) and start
reverse-engineering machine reasoning via deliberate, contextual Q
The primary benefit of this approach would be that: 1) not only
=\
Mentifex has a defined crackpot value of 1.0, he is the benchmark,
archetypal crackpot. He has earned this rating through 40 years of
tireless effort. =|
Your (Matt) crackpot score is somewhere between 0.48 and 0.63.
Since it's been several years and since you haven't proven that you are
Peter: I want to see how it can solve a Rubik’s cube before considering it
anything more than a more complicated Siri.
How can it do this?
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On Sat, Jun 9, 2018 at 2:30 PM, wrote:
> I’ve been actively working on AGI & AGI-ish commercial systems for more than
> 20
TO: Jean-Paul Van Belle
Thank you very much for sharing your ideas and thoughts and theory with us. I
find your descriptions most exciting, and would like to point you to a
little-known methodology called KIM (Honeycutt - NCSU).
This methodology represents a system-ofsystems framework, and is
I’ve been actively working on AGI & AGI-ish commercial systems for more than 20
years – with a team of 10+ for more than 11 years (combined).
First paper/ book-chapter:
http://www.kurzweilai.net/essentials-of-general-intelligence-the-direct-path-to-agi
First R company (wayback
Thank you, Matt.
Well then, "{L]ike everyone else on this list, I do not have a working AGI"
(Mahoney, 2018). However, I've also been thinking, reading, researching AI for,
in my case, about 30 years. In 2011, I put some of my thoughts on paper and
submitted them in the form of 2 papers to the
My model is a genetic algorithm system based on AIXI. It’s a really lame
solution to AGI, being naive and brute force, but it’s something small and
simple any computer can run.
I call it MINT - for minimal intelligence.
I really should dig up the old java source... it’s a neat little system.
Like everyone else on this list, I do not have a working AGI. It is
easy to underestimate the enormity of the problem. The most obvious
application of AGI is to automate human labor. Globally this is a USD
$75 trillion per year problem. A working solution would have a ROI of
world GDP divided by
