Re: The Way of Coding

The Way of Coding is just one more multi-disciplinary take on how to
translate "knowledge" into machine readable format.

Philosophy, music, visual arts and performing arts all capture
"universals", that is identifiable audible or visual ideas, concepts and
experiences (including emotions) that transcend language and culture, and
in the same vein so do culinary and epicurean experiences.

And here is where we also see the problem of capturing knowledge. When we
strictly limit ourselves to what we can capture as data, information and
textual knowledge we arrive exactly at the starting point indicated by me
earlier, elaborated upon by ChatGPT and converted into StratML by Owen.

Audiovisual input can also be processed by artificial intelligence, but it
transcends textual input and output, a prime example being the ability of
AI to produce whalesong enabling humans to communicate with cetaceans, as
has been done recently.

We are also able to capture, classify and manipulate movements, brainwave
activity and electric signals in the nervous system, e.g. in bionics,
advanced prosthetics,  robotics and mechanotronics.

These obviously are also not text based.

This is why we must limit ourselves to semiotics,  symbol set, pictogram,
(petro)glyph, alphabets and other identifiable visual inputs for knowledge
and knowledge representation.

We may now also intuitively make the distinctions between artificial
intelligence, artificial general intelligence and artificial
superintelligence.

The first is the capability of processing identifiable visual inputs.
The second includes all audiovisual inputs as well and movements, brainwave
activity and nervous system signals of humans and other species.
Superintelligence includes the capability of processing the universals in a
way that transcends the anthropocentric limitations, that is the
cognitive,  cultural and emotional makeup of humans.
This is why generative artificial intelligence based on large language
models will soon reach a dead end.

As AIKR CG we can limit ourselves to the visual inputs that can loosely be
described as text.
And here is where logic, set theory, mathematical modeling and
computability set the stage for rigorous formalization, including for
philosophical concepts ( reality, mental constructs and ideas, perception,
cognition, reason etc.).

I have been making notes and  I am now in the process of putting these into
some articles.

This will be a work in progress.

Milton Ponson
Rainbow Warriors Core Foundation
CIAMSD Institute-ICT4D Program
+2977459312
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean

On Thu, Jun 26, 2025, 20:59 Paola Di Maio <paola.dimaio@gmail.com> wrote:

> One of the reasons we are developing vocabularies *lists of terms, bags of
> words
> is because these days text can be processed easily and intelligently by
> machine
> and is powering computation
>
> The entire language model driven AI, is based on text *text input, text
> based libraries. text output
>
> Diagrams, formal and informal visualizations are useful but ultimately,
> whatever the diagram
> represents, needs to be represented as text for LLMs too be processed
>
> We need to be able to construct natural language expressions and leverage
> natural language
> *symbolic
>
> I find the vibe coding conversation interesting and reflective of the
> state of the art
>
> https://www.youtube.com/watch?v=7s9C92Pkcc0
>
>
>
>