Explore and implement distributed LLM

The attached whitepaper describes an idea for a distributed text diffusion-based LLM

[parallel_mesh_of_diffusers_whitepaper.pdf](https://github.com/user-attachments/files/26807463/parallel_mesh_of_diffusers_whitepaper.pdf)

There are several uses:
1. the LLM is, in and of itself, a resource: it represents a continually growing and improving language model that is free to everyone and remains at the cutting edge
2. the LLM guides developments and improvements of the world-compute network itself
3. the LLM carries out regular security audits and spot checks of jobs and use management of the broader network

Because the LLM is fundamentally mesh-based, it operates at fractal scales depending on needs in the moment:
- Max intelligence uses ALL available nodes to construct one "super" LLM: if scaled to all compute on earth, this would represent by far the largest and most powerful language model in existence. It could potentially make enormous advances for human society.
- At intermediate scales, resources are drawn upon according to need; more important, larger, and more complex problems are allocated larger pools of nodes
- At the smallest scales, for very basic low-level tasks, even a single node with modest hardware could operate as a simple model

Given the whitepaper and the above clarifications: explore and implement this model