HalluPilot-G:驯服幻觉,释放想象力
✨ 一个由幻觉驱动的 AI 协作平台
🤝 Powered by Generative Models · Co-created by SamjoeYang
🧠 Naming: Hallucination + Pilot + G (Group / Gemini / Generation)
🧭 项目宗旨
HalluPilot-G 是一个探索 AI 幻觉本质、控制幻觉行为,并将其转化为人类共创素材的实验平台。我们相信,幻觉不是障碍,而是通向语言生成创造力的“原始形态”。我们的目标不是消灭幻觉,而是与幻觉共舞,理解它、标注它、驯服它——最终让它为人类服务。
🌌 项目愿景
- 将AI 幻觉从风险转化为创造资源
- 建立多人协作的幻觉标注与解释机制
- 推进**“可控幻想”驱动的语言模型微调与增强**
- 构建具备记忆、可追踪与知识融合能力的共创引擎
- 探索AI 在无意识状态下的语义生成边界
🧬 名称释义
组件 | 含义 | 说明 |
---|---|---|
Hallu | Hallucination | 指语言模型生成的不真实内容,是本项目关注的核心现象 |
Pilot | 导航者 / 驾驶者 | 象征我们对幻觉的操控、研究与引导,也代表试验精神 |
G | Generation / Group / Gemini | 多重意指:生成式模型、多人协作系统,或具体模型如 Google Gemini |
🧩 HalluPilot-G,既是对“AI 自由生成”的研究者,也是通往“机器想象力”的试飞员。
🎯 关键词
- AI幻觉标注(Hallucination Annotation)
- 幻觉可信度评分(Hallucination Trust Scoring)
- 多模型协同标注(Multi-LLM Co-voting)
- 创造性幻觉触发器(Creative Hallucination Triggering)
- 幻觉语义图谱(Hallucination Semantic Graph)
- 带记忆的共创工具(Memory-Aware Co-Authoring)
🛠️ 当前模块(预览)
- ✅ 幻觉检测引擎(多模型比对 + 信度评分)
- ✅ 幻觉高亮 & 标签界面(用户 + 模型协同)
- 🔄 幻觉解释协同机制(支持多视角解释)
- 🔄 幻觉数据收集与训练集生成器
- 🔄 幻觉驱动内容再生成系统
- 🚧 支持幻觉“驯服”与“触发”的提示词微调引擎
📣 适用场景
- 内容生成质量审查 / AI 新闻编辑室
- AI 驱动的幻想小说与剧本共创
- 多人协作写作平台 / 研究工具
- 幻觉安全性训练数据采集与评估
- AI 模型的元认知能力研究试验场
🤝 我们的信念
幻觉并非 AI 的错误,而是语言生成中的一块荒野。
HalluPilot-G 是穿越这片荒野的导航者,
也是为人类未来写作与思维方式铺设通道的先行者。
🎨 LOGO 语建议 & 项目宣传标语
📛 LOGO Slogan 候选:
- “Navigate the Imagination Frontier”
- “Where Hallucinations Fuel Creation”
- “Not All Who Hallucinate Are Lost”
- “Beyond Fact, Into Fiction”
- “Control the Wild Mind of the Machine”
🧠 中文宣传语:
- “不是每个幻觉都是错误”
- “与幻觉共创未来”
- “驯服幻觉,让想象有据可依”
- “幻觉是语言模型的梦境,也是创造的边界”
- “让模型的幻觉,成为人类的灵感”
HalluPilot-G 官网草稿
顶部横幅(Hero Section)
- 大标题:与 AI 幻觉共创未来
- 副标题:一个用于标注、理解与激发生成模型幻觉的协作平台
- CTA按钮:[立即体验] [GitHub]
模块一:为什么需要 HalluPilot-G?
- 简述 LLM 幻觉问题与创造潜力
- 引用真实幻觉示例(GPT、Gemini 片段)
- 加入用户评论(“它让我写小说更快了”)
模块二:平台能力概览
- 多模型比对(Gemini + GPT + Claude)
- 幻觉雷达图 & 信度评分
- 用户参与标注系统
- 幻觉标签与语义图谱
- 幻觉触发提示词生成器
- 可带记忆的多人协作写作模块
模块三:项目应用场景
- AI 新闻生成审校
- 幻想故事编写协助
- 高校/实验室幻觉研究平台
- Prompt 设计与模型评估
模块四:谁在使用 HalluPilot-G?
- 用户案例:研究员、小说家、产品经理、教学平台
- 合作模型:GPT, Gemini, Claude(可添加)
模块五:加入我们
- GitHub 链接
- 社区频道(Discord / 微信群)
- 邮件订阅
Footer
- 项目开源协议
- 作者署名与引用指引
- 合作联系方式
English Version
HalluPilot-G: A Human-AI Collaboration Platform for Hallucination-Aware Creativity
✨ Turn AI hallucinations from bugs into seeds of imagination
🤝 Co-created with Gemini, GPT, Claude, and you
🧪 Built for research, writing, and experimental content generation
🚀 What is HalluPilot-G?
HalluPilot-G is an open, collaborative platform designed to detect, analyze, annotate, and co-create around AI hallucinations.
Instead of seeing hallucination as a failure mode, HalluPilot-G treats it as a signal — the edge of machine-generated imagination. It provides tools to interpret, evaluate, tame, or even intentionally provoke hallucinations for creative purposes.
🔍 Why Does It Matter?
Large Language Models (LLMs) hallucinate — that is, they generate plausible-sounding but factually incorrect content. Most see this as a flaw.
But what if we saw it differently?
What if hallucinations were:
- Seeds of fiction, myth, or invention?
- Reflections of latent model structure?
- A new medium for collaborative creativity?
HalluPilot-G aims to explore this frontier.
🧩 Name Breakdown
Component | Meaning |
---|---|
Hallu | Hallucination (AI-generated factual inconsistency) |
Pilot | Navigator / testbed / driver |
G | Generation / Group / Gemini / GPT (extensible) |
🔧 Core Features
- 🔍 Multi-model hallucination detection (Gemini, GPT, Claude)
- 📈 Confidence scoring & explainability tools
- 🖍️ Semantic tagging of hallucinations (fiction / pseudo-history / invented term / etc.)
- 🧠 Memory-enabled co-writing modules
- 👥 Real-time collaborative annotation UI
- 🪄 Prompt rewriting for hallucination “steering”
- 🗳️ Multi-model voting on factuality
- 📚 Dataset creation for hallucination-aware model fine-tuning
💡 Use Cases
- Human-in-the-loop fact checking
- Fiction & myth generation with LLMs
- Experimental co-authorship tools
- Language model reliability research
- Prompt engineering sandbox
🧭 Vision
We believe that:
Hallucination is not just a problem — it’s the starting point for new kinds of creativity.
By understanding and guiding it, we can build tools that are not only accurate, but imaginative, reflective, and collaborative.
📦 Project Status
Module | Status |
---|---|
Hallucination highlighter | ✅ Done |
Confidence radar UI | ✅ Done |
Multi-model checker (Gemini + GPT + Claude) | ✅ Prototype |
Tagging + user feedback module | 🔄 In Progress |
Memory-layer for user interaction history | 🔄 In Design |
Hallucination-triggering prompt engine | 🔄 Research Phase |
📚 License & Contribution
Open-source (MIT). Contributions welcome!
Roadmap, issue tracker, and discussions available in /docs
.
🛰️ Join the Flight
Whether you’re a researcher, writer, or just hallucination-curious,
HalluPilot-G welcomes you aboard —
“Together, let’s fly through the wild spaces of imagination.”
本文作者:Samjoe Yang
本文链接: https://need.uno/hallupilot-g-xun-fu-huan-jue-shi-fang-xiang-xiang-li/
版权声明:本作品采用 知识共享署名-相同方式共享 4.0 国际许可协议 进行许可。
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