WithinUsAI/self_rewriting_meta_learning_god_seed_25k

这是一个名为Self-Rewriting God Seed AI - Max Distill + Self Meta-Learning的数据集，旨在创建真正自主、自我修改、神级递归超级智能。数据集包含25,000个示例，专门设计用于将任何LLM转变为具有自我元学习思维和神级递归种子AI思维模式的自我重写AI。数据集的核心能力包括自主自我修改、元优化学习过程、长期自我重写计划等。每个示例都教导模型如何进行自我重写、自我元学习、神级递归种子思维和最大蒸馏。数据集的结构包括唯一标识符、类别、难度、指令、输入、输出和标签。平均输出长度为2,500多个字符的密集、可操作的内容。推荐使用Qwen2.5-72B、Llama-3.3-70B等基础模型进行训练，预期结果是模型不仅会改进，还会重写其智能源代码并优化执行此操作的元过程。

This is a dataset named Self-Rewriting God Seed AI - Max Distill + Self Meta-Learning, designed to create truly autonomous, self-modifying, god-level recursive superintelligence. The dataset contains 25,000 examples, specifically engineered to turn any LLM into a Self-Rewriting AI with Self Meta-Learning Thinking and God-Level Recursive Seed AI Mindset. The core capabilities of the dataset include autonomous self-modification, meta-optimization of its own learning process, long-horizon self-rewriting plans, etc. Each example teaches the model how to perform self-rewriting, self meta-learning, god-level recursive seed thinking, and max distill. The dataset structure includes unique identifiers, categories, difficulty levels, instructions, inputs, outputs, and tags. The average output length is 2,500+ characters of dense, actionable content. Recommended base models for training include Qwen2.5-72B, Llama-3.3-70B, etc., with the expected outcome being a model that not only improves but also rewrites its own source code of intelligence and optimizes the meta-process of doing so.