HalluPilot-G:驯服幻觉,释放想象力

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)


HalluPilot-G LOGO

🧭 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

  • 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
  • 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。

评论