Ananke v0 public model card (no code, no mechanisms)

README.md

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+---
+license: other
+license_name: ameforge-proprietary
+license_link: LICENSE
+language:
+- en
+pipeline_tag: question-answering
+tags:
+- continual-learning
+- cpu-only
+- no-gpu
+- memory
+- retrieval
+- research-prototype
+---
+
+# Ananke v0
+
+**A memory that learns by reading.** Research prototype by **AMEFORGE** (Windsor, Ontario, Canada).
+
+*Interactive demo coming soon — the engine and its memory are proprietary to AMEFORGE.*
+
+## What it is
+
+Ananke is a proprietary architecture developed at AMEFORGE, aimed at a simple goal:
+**a model that learns by reading, the way a person does, without GPU training.**
+
+- **Reads once.** Text is read a single time; there are no training epochs.
+- **CPU only.** No GPU, no gradient-based training, no pretrained language model. It starts empty.
+- **Keeps learning.** New text can be added at any time; what it read before is kept, reinforced
+  when read again, and slowly faded when unused.
+- **Answers by quoting.** It answers factual questions by retrieving and citing the passages it read.
+- **Says "I don't know".** When it has not read anything relevant, it refuses instead of inventing.
+
+The demo memory was built by reading 18 English Wikipedia articles about West African countries
+(about 165,000 words, 7,000 facts) in a couple of minutes on a standard CPU.
+
+## Evaluation (honest numbers)
+
+Questions written **before** each evaluation and never used to tune the system:
+
+| Question set | Right passage retrieved (top 5) | Exact short answer |
+|---|---|---|
+| Capitals, currencies, official languages, independence, largest cities (28 questions) | 18 / 28 (64 %) | 13 / 28 (46 %) |
+| First presidents, colonial powers, neighbouring countries (27 questions, new relation types) | 20 / 27 (74 %) | 8 / 27 (30 %) |
+
+What this means:
+
+- **Finding the right passage works well**, including for relation types it was never tuned on.
+- **Extracting the exact short answer from that passage is the main weakness**, especially for
+  answers that are lists ("which countries border…") or adjectives ("a *French* colony").
+- **Refusing on subjects it never read** (e.g. "What is the capital of Mars?") is a design priority;
+  it was not reliable in earlier versions and is being re-measured in the current one.
+
+## Limitations
+
+- **Not a chatbot or an LLM.** It does not reason, combine facts or write free text.
+- It **believes what it reads**: wrong text in, wrong answer out.
+- It links two different words for the same idea only if its reading has connected them.
+- English questions work best. Pronouns are understood only within the article about the subject.
+- The short answer can be wrong even when the quoted passage is right: **always read the quotes.**
+
+## Intended use
+
+Research and demonstration of learning-by-reading without GPU training. A self-updating, citable
+memory over a document collection (encyclopedic text, documentation, notes).
+Not for medical, legal, financial or safety-critical decisions.
+
+## Weights and code
+
+Ananke has no neural weights to download. The engine and its memory are proprietary to AMEFORGE and
+are not distributed; the Space provides public access for testing.
+
+## Contact
+
+AMEFORGE — Mike Amega · [huggingface.co/AMFORGE](https://huggingface.co/AMFORGE)