Central access point for the Rendered Frame Theory ecosystem.

Single page linking every book, Zenodo DOI, Hugging Face space, and GitHub repository connected to Rendered Frame Theory. Designed as the primary route into RFT for reading, testing, and collaboration.

Liam Grinstead NexFrame AI

Snapshot

  • Books:
  • Hugging Face Spaces:
  • Zenodo DOIs:
  • GitHub Repos:

All links below are direct, public entry points into the Rendered Frame Theory network.

RFT Assets

Curated, verified links only. Each card is an official endpoint into the Rendered Frame Theory network.

Books

Published works documenting the story, mathematics, and exposure of Rendered Frame Theory.

Hugging Face Spaces

Live RFT simulations, symbolic engines, and NexFrame environments.

Zenodo DOIs

Timestamped, sealed records for cosmology, quantum mechanics, consciousness, validation, and legal work.

GitHub Repositories

Code, demos, and testbeds built around the Rendered Frame Theory framework.

Internal Pages

Additional pages in this repository with focused layouts for AI work, consciousness, and extended book information.

AI / NexFrame

Internal

AI-focused material for NexFrame and RFT-driven simulation work.

Books Page

Internal

Extended book information and layout.

Consciousness / Codex

Internal

Consciousness and codex layout in consciousness.html.

Feedback & Asynchronous Chat

Channel for suggestions, questions, and technical discussion. Messages are kept as long-term email threads.

Feedback form

The form opens an email draft in a local email client, addressed to the RFT inbox. Replies are sent to the address entered in the form.

Email flow

  • Message is written in the form; a local email client opens with fields pre-filled.
  • Email arrives in the RFT inbox as a thread.
  • Replies keep the subject line, so each topic remains a long-term “chat”.
  • No external platforms or logins are involved; everything runs through email threading.

Feedback can also be submitted via GitHub Issues on this repository:

Open a GitHub feedback issue

Partnerships & Deals

Channel for research collaborations, funding, licensing, hosted compute, or media work tied to Rendered Frame Theory.

Partnership proposal

Partnership criteria

  • Alignment with core RFT principles: truth-first, no gatekeeping, no IP theft.
  • Respect for existing Zenodo DOIs, SHA hashes, and legal protections.
  • Clear benefit for the development or validation of Rendered Frame Theory.
  • No interest in arrangements that bury data or results behind closed systems.

Large-scale proposals can request an NDA-based channel in the initial email.

Support & Orientation

Channel for practical help: navigation through the material, code issues, and experiment reproduction.

Orientation

  • Initial reading: main Rendered Frame Theory book and the Paradigm Shift record.
  • Code-focused work: primary GitHub repositories and Hugging Face Spaces.
  • Research-focused work: Zenodo DOIs and citation structure.
  • Exploratory questions: concise notes sent through the feedback channel.

Support request