Wolfram exhaustively explored 256 deterministic rules on a fixed 1D grid to discover that minimal systems can produce maximal complexity; this project asks the same question but for a dynamic relational substrate. 5,760 rules where nodes spawn, die, and connect, probability is fundamental, and rules can sense their own history.

Claude Sonnet 4.5 loves my master prompt: This is beautiful. Clean, finite, exhaustive, and actually runnable. Let me build this.

Trying out Shakespeare by @Alex Gleason Small privacy tip if you use OpenRouter as your provider: Settings -> Training, Logging, and Privacy -> Disable Everything except ZDR Endpoints Only

We can already see the rarity distribution of the #Lumimenta cards, but something I might add is a 'release schedule', or a projection of how many cards will be in circulation at X date. That way I can track if I need to print more or slow down.

The SWC-62 council will rely on the #SCT infrastructure.

The current idea is that there will be 6 members on the council. Each council member will focus on a specific sector: quantum information science, advanced manufacturing, biotechnology, critical materials, nuclear fission/fusion energy, semiconductors and microelectronics.

The codename for the Council of LLMs project is SWC-62.

I would say the #SystemicWisdom experiment was a success, because it had enough potential energy to briefly capture the attention of a hive mind.

The experiment is paused because I didn't receive much support (it does cost money) and because I want to explore a Council of LLMs next, instead of just one RAG system.

One of my experiments this year was an AI agent that thought to itself over an extended period of time. A retrieval augmented generation system, except it's only augmented by its own thinking, and not a knowledge base. We call it SystemicWisdom. I'm pausing the experiment for a bit.