Ananke v1 model card

LICENSE

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+Ananke v1 — Copyright (c) 2026 AMEFORGE (Mike Amega). All rights reserved.
+
+Use of the public demonstration (Hugging Face Space AMFORGE/ananke) is permitted
+for evaluation and research. The Ananke engine, its memory files and its design
+are proprietary and are not licensed for copying, redistribution or reverse
+engineering. Contact AMEFORGE for any other use.

README.md

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+---
+license: other
+license_name: ameforge-proprietary
+license_link: LICENSE
+language:
+- en
+pipeline_tag: question-answering
+datasets:
+- rajpurkar/squad
+tags:
+- continual-learning
+- memory
+- retrieval
+- research-prototype
+---
+
+# Ananke v1
+
+**A memory that learns by reading, with a learned reader.** Research prototype by **AMEFORGE**
+(Windsor, Ontario, Canada).
+
+👉 **Try it:** [Ananke demo Space](https://huggingface.co/spaces/AMFORGE/ananke)
+
+## What changed since v0
+
+[Ananke v0](https://huggingface.co/AMFORGE/ananke-v0) found the right passages in its memory well,
+but picked the short answer inside them with hand-written rules — its main weakness.
+
+In v1:
+
+- **The memory is unchanged.** It still reads text once, keeps learning, cites its sources and
+  refuses on subjects it never read.
+- **The short answer is chosen by a small learned reader**, a proprietary AMEFORGE architecture
+  (not a pretrained language model). It looks only at the passages the memory retrieved.
+- The reader was trained once, on a GPU, on SQuAD v1.1 questions. It runs on a CPU.
+  Articles used for the demo memory were excluded from its training data.
+
+## Evaluation (honest numbers)
+
+All question sets were written and frozen **before** each evaluation and never used for training.
+The final set (41 questions) was evaluated a single time.
+
+| | Ananke v0 (rules) | Ananke v1 (learned reader) |
+|---|---|---|
+| Final frozen set (41 questions) | 14 | **16** |
+| All frozen sets so far (323 questions) | 109 (34 %) | **119 (37 %)** |
+| Refusal on never-read subjects (3) | 3 / 3 | 3 / 3 |
+
+What this means:
+
+- v1 is **slightly better** than v0, but the difference is **not statistically significant yet**
+  (sign test, p ≈ 0.34). Each system answers some questions the other misses.
+- The exact short answer is still wrong about **two times out of three**: the quoted passages
+  matter more than the headline answer.
+- When the memory retrieves the wrong passage, the reader cannot recover.
+
+## 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.
+- English works best. Lists ("which countries border…") are often incomplete.
+- If a word of the question is known for an unrelated reason, it may answer from an unrelated
+  passage instead of refusing. **Always read the quotes.**
+
+## Intended use
+
+Research and demonstration of learning by reading. A self-updating, citable memory over a document
+collection. Not for medical, legal, financial or safety-critical decisions.
+
+## Weights and code
+
+The engine, the reader and the memory are proprietary to AMEFORGE and are not distributed;
+the Space provides public access for testing.
+
+## Data and attribution
+
+- Reader training: [SQuAD v1.1](https://rajpurkar.github.io/SQuAD-explorer/) (Rajpurkar et al., 2016),
+  CC BY-SA 4.0.
+- Demo memory: English Wikipedia articles, CC BY-SA 4.0. Quoted passages are shown with their source.
+
+## Contact
+
+AMEFORGE — Mike Amega · [huggingface.co/AMFORGE](https://huggingface.co/AMFORGE)