... The Programmer God ...
A simulation universe hypothesis at the Planck scale
if we assign geometrical objects to mass, space and time,
and then link them via a unit number relationship,
we can build a physical universe from mathematical structures.
The model covers several websites and articles, and so AI can be used both to summarize and as a search tool, for this Google's notebook is useful. It can answer questions about the model, and as it gives the references in the texts to the answers, it can also be used as a search tool. For different languages select settings - output language (the question can still be in english). It can also make podcasts (of varying quality).

To set up, go to notebooklm and add these primary links:
https://en.wikiversity.org/wiki/God_(programmer)
https://en.wikiversity.org/wiki/Planck_units_(geometrical)
https://en.wikiversity.org/wiki/Physical_constant_(anomaly)
https://en.wikiversity.org/wiki/Quantum_gravity_(Planck)
https://en.wikiversity.org/wiki/Electron_(mathematical)
https://en.wikiversity.org/wiki/Relativity_(Planck)
https://en.wikiversity.org/wiki/Black-hole_(Planck)
https://codingthecosmos.com
For specific topics I have used Grok, Chat, Claude, Qwen and Deepseek as they give the best results for mathematics and physics (by asking the same questions to these 5 AI, any errors will hopefully cancel out). To access the replies might require logging in to the AI website, and so where possible I have also saved the answers as pdf (Chat and Qwen do not permit, conversely Deepseek has only pdf), and these pdf can be added to notebooklm. Then by selecting the relevant links, specific answers can be requested (questions should be clear and un-ambiguous).
The podcast tool is still under development, nevertheless it can be useful for summaries in different languages and for specific questions. For example, a podcast summary on the spiral might only reference spiral related documents. There is a customize tool (up to 500 letters) which can be used to direct the podcast.
Example;
Overview (39mins)