Okay, so would it be accurate to paraphrase you as suggesting an AGI MVP
should look like a big linear algebra solver? That's an interesting idea if
so, and possibly a promising one. The main concern I'd have would be to
make sure there's enough of a market for it, i.e. enough problems people
care about, that are naturally expressed in that sort of form.


On Tue, Dec 17, 2013 at 6:24 PM, Steve Richfield
<[email protected]>wrote:

> Russell,
>
> On Tue, Dec 17, 2013 at 3:21 AM, Russell Wallace <
> [email protected]> wrote:
>
>> If you are trying to design an AGI, what is your design going to be a big
>> version of?
>>
>
> Re-mentioning something from the past, but with new emphasis...
>
> When I was ~15 I discovered numerical series and their ability to predict
> future elements, which it appeared to me at that time to be what math was
> all about. I set about creating formulas that in effect merged several
> different series together and predicted future elements, in the sophomoric
> hope that the world was a LOT better organized than it is. This also
> paralleled an "intelligence" test that I had taken, which consisted of
> lists of numbers and the problem of guessing the next number. It looked to
> me at that time like "simple"  (page-long) formulas might actually be
> judged as being "intelligent"!!! My effort failed for several reasons, some
> of which may be repairable, but the dream continues - with AGI being
> perhaps the ultimate extension.
>
> My primary discovery in this early failed effort was that linear algebra
> could in effect make decisions, and make "proportional decisions" akin to
> Bayesian math WITHOUT resorting to ANY conditional methodology!!!
>
> Of course, my early effort was only one-dimensional - lists of numbers as
> input, with the problem being to predict the next. However, I don't see any
> fundamental reason why the concept couldn't be extended to any number of
> dimensions.
>
> Imagine a system of elements (perhaps like biological neurons, but NOT
> like people now think biological neurons work) with the capability of
> predicting their inputs into the future (with obvious uncertainties and
> errors) via substantially linear, or at least continuous means. Some inputs
> would be "free" and reflect our intentions. Solving problems would consist
> of manipulating the free inputs until a desired result was achieved,
> perhaps using methods akin to genetic algorithms.
>
> In short, maybe our present "elements" of neurons, Bayesian logic, etc.,
> are just too damn simple for the task at hand.
>
> OK, I have proposed above one prospective class of super-elements. Does
> anyone here have ideas for other super-elements?
>
> Steve
> =======================
>
>> On Tue, Dec 17, 2013 at 9:48 AM, Steve Richfield <
>> [email protected]> wrote:
>>
>>> WAY back in the 1960s, a friend of mine, Carl Nicolai, now only known as
>>> the inventor of non-deterministic crypto, was promoting the use of
>>> pseudo-random carrier waves for spread spectrum communication - to go MUCH
>>> farther with less power. As his ideas started to catch on, one UCSF EE
>>> professor even put up a web site to debunk such craziness!!!
>>>
>>> Carl was SO disconnected from the mainstream that he couldn't get his
>>> articles published, and his patent promptly received a Secrecy Order.
>>>
>>> Of course, Carl's thoughts are now accepted as routine communications
>>> methods.
>>>
>>> Now, AGI seems to be caught in a similar sort of "trap" as RF
>>> communications once was, where present dogma and "leaders" are leading it
>>> to a dead end.
>>>
>>> Organizationally, AGI appears to be on a suicide mission, thinking it to
>>> be SO well targeted that it can enjoy the luxury of dismissing articles
>>> about radically different approaches as being "off topic" for conference
>>> presentations. Guys like Carl would NEVER have been acceptable to any
>>> conference.
>>>
>>> I think we have all hoped that guys like Jim and Tintner would see where
>>> the King has put his clothes. when we can all see quite clearly that the
>>> King is wearing them. This has led to an insane level of tolerance, because
>>> we all know that all it may take is one CAREFULLY calculated question to
>>> blow AGI wide open. Yet - apparently, the question remains unasked.
>>>
>>> For example, maybe we just haven't figured out yet where in an AGI to
>>> put the random number generator? We know that we NEED randomness in game
>>> theory and genetic algorithms, so I doubt that an AGI could be guilt
>>> without using a random number generator.
>>>
>>> OK, half a decade of discussions has failed to find the Holy Grail of
>>> AGI. Now, how about taking a step back and working on some good QUESTIONS?
>>>
>>> Any thoughts?
>>>
>>> Steve
>>>
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