Re: Invitation to Co-Shape a 3-D Standard for AI Knowledge — Collaboration Opportunity with K3D

Hi Milton,

Thank you for your thoughtful note—your decades‑long search for a 
unifying paradigm resonates deeply with me. I share the belief that 
knowledge has both symbolic structure and spatial form, and Knowledge3D 
grew out of that conviction.

*Mathematical underpinnings*
K3D doesn’t rely on a single proprietary formula; instead, it stitches 
together mature tools from several domains:

  *

    *Vector semantics* (high‑dimensional embeddings) to encode meaning
    geometrically.

  *

    *Graph theory* to preserve explicit causal and relational links.

  *

    *3D geometry* and modern rendering pipelines to make those
    structures navigable in space.

The specification and sample datasets in the repository show how these 
pieces fit into a unified node schema, but we’re still drafting a formal 
paper that walks through the math in detail.

*Why K3D exists now*
My background across AI product design, spatial computing, and 
enterprise knowledge graphs convinced me that the prerequisites already 
existed—we simply needed to synthesize them. Today’s vector databases, 
real‑time 3D engines, and open graph standards finally make the 
“knowledge universe” practical instead of aspirational.

*On FMEAI*
The broader metaphysical framework you referenced—Filosofia Metafísica 
Energética Atômica Infinita (FMEAI, in English Infinite Atomic Energetic 
Metaphysical Philosophy)—is a parallel, personal line of some 30 years 
inquiry I’m pursuing as long‑term scientific research. It informs my 
worldview, but it sits outside the current K3D roadmap.

I’d be delighted to continue this conversation and explore where your 
work and ours intersect. If you have papers or models that illustrate 
your spatial‑symbolic approach, I’d love to see them. Likewise, when our 
in‑progress technical draft is ready, I’ll make sure you receive a copy.

Tell me if you or others reading us can contribute to our humble 
repository in any way, we're looking for people to help craft the future.

Warm regards,
Daniel Ramos
Founder, Knowledge3D / EchoSystems
daniel@echosystems.ai

On 8/15/25 1:01 PM, Milton Ponson wrote:
> Dear Daniel,
>
> I like the spatial representation of knowledge concept.
> Thirty something years ago I embarked on a journey to find a unifying 
> paradigm, not a grand unified theory, to capture and to incorporate 
> theoretical physics, mathematics, philosophical discourse, social 
> sciences, the many forms of logic and the genetic and neuroscience and 
> cognitive science aspects of knowledge and reasoning.
> It is my firm belief that knowledge is both symbolic and spatial.
> My original starting point was the concept of sunyata in the 
> Madhyamaka Middle Way Buddhist philosophy.
> Sunyata can be described as the generalized concept of everything not 
> labeled, not observed, not qualified and not quantified.
> A subset of this in physics is the zero point field concept.
>
> The same philosophy also describes the concept of dependent 
> origination or dependent arising which implies causality relationships.
>
> The Langlands program hinges on showing the relationship between the 
> fields of number theory and representation theory.
>
> Because unifying paradigms for mathematics will automatically provide 
> unifying paradigms for theoretical physics and IMHO the other way 
> around too is has become evident that theoretical physics,  
> mathematics, cognitive architectures and the knowledge representation 
> for all of these share specific areas of algebraic geometry, topology 
> and spatial structures that can be described as specialized manifolds 
> or algebraic spatial structures.
>
> A special case is 3d knowledge representation. Hence my interest in 
> what you are doing.
>
> Where can I find some papers outlining the mathematics on which the 
> Knowledge3D concept is built?
>
>
> Milton Ponson
> Rainbow Warriors Core Foundation
> CIAMSD Institute-ICT4D Program
> +2977459312
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean
>
> On Wed, Aug 13, 2025, 16:05 Daniel Ramos <daniel@echosystems.ai> wrote:
>
>     Dear AI KR Community Group colleagues,
>
>     I’m *Daniel Campos Ramos*, founder of *EchoSystems* and lead
>     maintainer of the open‑source *K3D (Knowledge 3‑D)* project. Our
>     teams share the same north‑star: to make AI knowledge easier to
>     specify, exchange, and reuse. I’m reaching out to invite the AI KR
>     Community Group to collaborate on turning K3D into a W3C‑aligned
>     standard.
>
>     ------------------------------------------------------------------------
>
>
>           Why this matters to AI KR
>
>     AI KR Priority  How K3D advances it
>     Rich, reusable vocabularies  K3D links plain‑language terms to
>     formally typed nodes, making ontologies explorable by humans /and/
>     machines.
>     Facets & provenance  Each K3D node carries first‑class metadata
>     (technology, legislation, ethics, etc.)—a perfect companion for
>     your “resources & metadata” track.
>     Open implementations  Reference code (MIT license) for vector DB
>     storage, REST/Graph APIs, and a 3‑D browser UI—ready for chat
>     bot/NLU pipelines.
>     Public awareness & learning  A spatial interface lets students
>     /fly through/ concept maps instead of paging through PDFs,
>     boosting engagement and comprehension.
>
>     ------------------------------------------------------------------------
>
>
>           What collaboration could look like
>
>     1.
>
>         *Spec alignment workshops* – Map K3D‑Node attributes to the AI
>         KR vocabulary and agree on extension points.
>
>     2.
>
>         *Joint concept‑map pilot* – Build a shared “AI Ethics &
>         Governance” space illustrating multi‑facet nodes (policy,
>         datasets, case studies).
>
>     3.
>
>         *Open review cycle* – Publish a draft W3C Community Group Note
>         co‑authored by AI KR & EchoSystems contributors.
>
>     4.
>
>         *Community demo day* – Showcase live K3D spaces at an upcoming
>         AI KR meeting to gather feedback and recruit maintainers.
>
>     ------------------------------------------------------------------------
>
>
>           Ways to get started this week
>
>      *
>
>         *Explore and contribute to the repo:*
>         https://github.com/danielcamposramos/Knowledge3D
>
>      *
>
>         *Open an issue:* Tag it *[W3C‑AIKR]* so we can triage
>         collaborative tasks quickly.
>
>     ------------------------------------------------------------------------
>
>     We believe K3D can become the *coordinate system of AI knowledge*,
>     and that vision only works if it’s shaped by the community that
>     already curates the field’s best practices—namely, you.
>
>     I’d be honored to discuss next steps or set up a brief call.
>
>     Warm regards,
>
>     *Daniel Campos Ramos*
>     Founder, EchoSystems · Maintainer, K3D
>     📧 daniel@echosystems.ai
>     📞 +55 61 98151‑3053
>     GitHub: https://github.com/danielcamposramos/Knowledge3D
>

Received on Friday, 15 August 2025 16:30:21 UTC