recursive-self-improvement
ouroboros-recursive-self-improvement-capability-report
Ouroboros: Recursive Self-Improvement Without Model-Weight Updates
This repository contains the white paper in Markdown, PDF, and DOCX formats.
The paper presents Ouroboros as a system-level recursive self-improvement capability: a persistent operational control plane that can improve the machinery around fixed-weight foundation models, verify and adopt durable changes, and reuse those changes in later improvement cycles. The detailed run evidence remains private.… See the full description on the dataset page: https://huggingface.co/datasets/cjc0013/ouroboros-recursive-self-improvement-capability-report.recursive_self_improvement_dataset
Dataset card
This prompt and output data for recursive self improvement model: metatune-gpt20b-R1.1
self generated prompt
5 model checkpoint output
5 generation responses
Usage:
open source data for analyzing for improvement of the model
Benchmark improvement for model
Benchmark models
Train
Do not train the dataset. Only for benchmark!
Risk:
Prompt safely with recursive self improvement model. Use safety gpt oss 20b for model… See the full description on the dataset page: https://huggingface.co/datasets/EpistemeAI/recursive_self_improvement_dataset.