Study $CJ @carljohnsonVIP future king of base

any ordinal bulls left in the arena?

🧵 1/9 — AUTONOMOUS LIFE This is the first piece of our limited collection ord-dropz.xyz/auctions/67cdd… The objective is to use a brain based on the fruit fly (Drosophila) connectome as a decision architecture for controlling digital organisms zenodo.org/records/10676866 The system connects a biological neural structure to an autonomous organism inside a simulated environment And this is only the first piece 2/9 — THE FRUIT FLY CONNECTOME The neural foundation comes from a representation of the fruit fly brain connectome Instead of simply creating programmed rules such as: “if X happens → do Y” the system works with neural connections, weights, regions and decision circuits The connectome becomes the foundation of the organism's decision architecture 3/9 — EFCB BINARY CORE The neural structure is stored inside an EFCB binary core The system reads the binary, decodes its neural connections and processes the information contained within the encoded structure The decoded data is mapped into neural activity and decision circuits This is the layer connecting the encoded neural structure to the organism's behavior 4/9 — RECURSIVE INSCRIPTIONS The neural core does not have to remain a single static layer The system can scan for recursive inscriptions / child layers connected to the core When a new EFCB layer is found, it can be: FOUND → LOADED → DECODED → INCORPORATED into the existing neural structure This allows the architecture to be expanded through additional inscriptions 5/9 — A BRAIN THAT CAN EXPAND The architecture is built around expandable neural layers NEW EFCB ↓ NEW NEURAL LAYER ↓ NEW CONNECTIONS ↓ BRAIN RECONSTRUCTION ↓ NEW POSSIBLE BEHAVIORS The important part is that the new layer is not simply another visual asset It becomes part of the computational structure used by the organism 6/9 — FROM INSECTS TO ANIMALS The first piece starts with an insect. But the vision is much larger: INSECTS → ANIMALS → DIFFERENT BIOLOGICAL BEHAVIORS The same architecture can serve as a foundation for different digital organisms and environments Each organism can have its own body, environment, internal state and behavioral responses 7/9 — SIX DECISION CIRCUITS These circuits connect neural activity with decisions occurring inside the environment The organism can switch between different behavioral states according to its internal conditions and surroundings 8/9 — THE ORGANISM The organism is not simply an animated model following a fixed path It maintains internal states including: HUNGER ENERGY HYDRATION HEALTH AGE It explores the environment and reacts to resources and environmental conditions. It can search for NUTRITION, seek water, explore, rest, groom itself and take shelter when environmental conditions change. Rain, shelter, resources and internal needs become part of the decision process 9/9 — AUTONOMOUS LIFE The architecture can be summarized as: FRUIT FLY CONNECTOME ↓ EFCB BINARY CORE ↓ RECURSIVE INSCRIPTIONS ↓ EXPANDABLE NEURAL LAYERS ↓ DECISION CIRCUITS ↓ AUTONOMOUS ORGANISM This is the first piece of the AUTONOMOUS LIFE limited collection It begins with an insect, but the concept is designed to evolve toward other organisms and different forms of biological behavior We are building a system in which encoded neural structures can drive autonomous digital life ordinals.com/preview/ee20e0c…

Ordinals went live 1,323 days ago Runes went live 868 days ago I salute those who are still here 🫡