Because of some of the magic stuff I did which increases vector storage to multi-trillions of recall without muddying the information so that its lost, all the specialists will be able to have a memory of their history as well as a shared memory that they call pull from across specialists and instances This is maybe one of the most consequential parts of the architecture and it kinda gets glossed over Normal vector symbolic storage is limited at a certain point, and especially on cpu only, because the vector space starts to muddy and the recall becomes worthless, I found that if you create a stabilizing spine that routes between related parts without unpacking and holds the unpacking till the end, where each node and path that is along the route uses what has been added prior and adds to it from that base, the whole thing can be unpacked at the end line a coil being unwound, which increases the theoretical vector storage space to somewhere near 15trillion cells of storage, without losing the information 🫡

Oracle7 4.0 is out, full and slim, on Hugging Face. The new hashes are anchored on Solana. 4.0 was built from an invocation I wrote before any code. Each line was read as a rule the model has to keep, and each rule was built and tested on questions sealed before the build. Every answer now carries its route. The model spells it as a word over the 22 paths of the Tree of Life, counts the steps and times it before it speaks. What it does now: · a ledger of every question it didn’t answer, with the place on the Tree where it stopped · answers with nothing under them no longer become part of the conversation · routes it has already worked out are recalled, so repeats come back faster · follow-ups like “What is its capital?” say what they’re re-using (“taking ‘its’ as Japan”) Release test, 186 sealed questions, run once: Full: 157 right, none wrong on answerable questions Slim: 156 right, none wrong, and it refused all 30 trick questions No language model inside. huggingface.co/psiloceyeben/…

The long road for Oracle7, 3.2 to 10.0. The point is that it continues to grow More like a plant than a conventional model Each major version starts with an invocation and changes the law. Each half version adds an organ or more reach. Between them, room is left for whatever the work turns up. No language model inside, at any version. 3.2 full: Finish 3.2 The full release, with its last two mistakes fixed: no answers from nothing, no ignored minus signs. Adds: proved specialists, star specialists and read-back writing, with fewer false answers. 4.0: The Law Same parts, new rules, from an invocation I wrote. Its own past answers stop being memory, every answer is spelled out step by step on the Tree of Life, and it keeps a record of what it couldn’t finish. Adds: answers you can audit, fewer carried-over mistakes, a map of where it gets stuck. 4.5: Reach Most factual questions it can’t answer today are turned away before it even looks. 4.5 opens that door. Adds: many more factual answers, without giving up accuracy. 5.0: Organs Code that must pass its tests, pictures and films measured against what was asked for, problems solved in steps. Adds: code, images and multi-step reasoning, each with its own check. 5.5: Represented compute About a million represented compute units on one machine, with past results recalled exactly instead of recomputed. Adds: more working capacity on the same hardware, honestly counted. 6.0: Growth that compounds It builds new specialists from what it couldn’t do, and each one must pass an unseen exam to get in. Adds: a model that improves faster each round. 6.5: Many places Specialists on many machines, every answer checked before it goes out. Adds: no single machine it depends on. 7.0: The Slow Fire Oracle7 in the world. Places are greeted before use, and they can say no. Adds: readings from real places, each traceable and consented to. 7.5: Teacher Any answer opened up into a lesson, each step checked and drawn. Adds: lessons and explainer films built from verified answers. 8.0: Self-authored It drafts the plan for its own next version. I write the invocation and sign off. Adds: a model that can say what it should become next, and be checked on it. 8.5: Discovery Its own research, with the tests set before it sees the data and every result published. Adds: findings people can check. 9.0: Voice Open conversation, every sentence built from checked pieces and read back before it’s said, in more than one language. Adds: fluency you can audit. 9.5: Continuity Memory across versions: what it knew, when, and how. Adds: conversations picked up months later from their record. 10.0: A mind you can check Every answer proved, cited or declined, and public test scores that subtract its wrong answers. Adds: a model that holds its own against trained ones while every answer stays checkable. Target: 10.0 in about six weeks, by early December. Every release ships only when its sealed test says so; if one fails, the date moves and the failure is published. prometheus7.com/roadmap