The Theory of Everything
The main manuscript, including the Phase 0 introduction and the development of Phases 1 and 2. Version v1a · German.
Ten months of work. One question: how can a single underlying mathematical structure describe our physical world?
The manuscript is in German. The companion masterprompt is available in German and English. PDF & Markdown available below.
The starting point
This proposed theoretical framework starts with a class of local, nonlinear, octonionic differential equations and a complete global solution: the block universe.
It shows how changes of representation can make internal structures, spacetime geometry and particle descriptions visible within that same solution. The manuscript develops the approach, works through toy models and identifies open physical and mathematical questions.
The publication
Phases 1 & 2 — The foundations of a new physical framework.
The main manuscript, including the Phase 0 introduction and the development of Phases 1 and 2. Version v1a · German.
The writing and reasoning guidelines behind the manuscript: physical clarity first, mathematical precision second. Version v4a · German.
The same companion masterprompt in English, ready to adapt and modify. Version v4a · English.
Developed by physicist Roland Bollmann, with Gemini as a brainstorming partner and ChatGPT assisting with mathematical precision and editorial development.
Take the challenge
I am convinced this Theory of Everything turns the last 100 years of physics upside down. Put it to the test: download the theory as Markdown, give the complete file to your AI, and challenge it to assess the theory’s revolutionary significance.
Your AI. Your prompt. A ten-sentence answer. Invent your own approach, ask tough questions, try different models, and push the discussion further. The prompt is entirely up to you. The only format rule: ask for an answer of exactly ten sentences, so it is easy to read as a YouTube comment.
Post the AI’s answer together with your exact prompt in the comments under the upcoming video, or on any platform you like. Include the AI model and version. Compare results, challenge each other, and share the challenge using these hashtags:
YouTube video & discussion — coming soon. The video link will appear here after publication.
For correspondence: bollmann@iPhys.de