With parallel input of all bits in the "corpus" to the circuit, there is no
directionality (other than the input to output mapping for each bit) except
insofar as information dynamics dictates so as to create the serial,
compressed (multplexed), bitstream that "represents" the corpus but does so
in such a way as to not suboptimal burden on the decompressing
(demultiplexing) circuit that must produce exactly the same parallel bits
in the same order.

So a better description than "prediction" of "letters" (really just bits)
would be "imputation" of "letters".

There _is_ something of practical importance here:

Circa 2000 Federico Faggin funded The Boundary Institute to look at
applying George Spencer Brown's Laws of Form notion of imaginary logic
states ("This statement is false.") to circuit optimization, as GS Brown
had done originally with his railroad car counter patent back circa 1960.
Unfortunately, the work there (Tom Etter's solid work in that area
previously supported by Paul Allen and then myself at HP) got side-tracked
into paranormal research when it appeared that the quantum theory (not yet
developed to the point it needed to be for DCG n-NOR circuits) was rigorous
enough to provide, for the first time in paranormal research history,
testable hypotheses.  Big Names showed up and the whole enterprise lost its
focus on Faggin's priority.

On Thu, Oct 14, 2021 at 2:56 PM <[email protected]> wrote:

> So that goal is to make an actual circuit (or simulated circuit) made of
> wires and resistors to be NOR functions so that you can send 1 input signal
> in and pop out enwik9 the closer it reaches to a single of 1 but using as
> few NORs and wires as can? So it is like some sort of brute force approach?
> I'm not getting it still...
>
> Is the goal predicting the next letter? What is the goal, and how is it
> evaluated. Why not if not though...
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
> / AGI / see discussions <https://agi.topicbox.com/groups/agi> +
> participants <https://agi.topicbox.com/groups/agi/members> +
> delivery options <https://agi.topicbox.com/groups/agi/subscription>
> Permalink
> <https://agi.topicbox.com/groups/agi/T728994814c1a40a0-M06645ae62f40fabd539f1e72>
>

------------------------------------------
Artificial General Intelligence List: AGI
Permalink: 
https://agi.topicbox.com/groups/agi/T728994814c1a40a0-M6b04e5288dd14adb0cdda152
Delivery options: https://agi.topicbox.com/groups/agi/subscription

Reply via email to