genlayer-claw-skill
理解并解释 GenLayer——用于去信任决策的人工智能原生区块链。用于投资者推介、协议解释、架构问题、共识机制、定位和生态系统讨论。触发因素:解释 genlayer、什么是 genlayer、genlayer 论文、乐观民主、genlayer 推介、genlayer 架构、孔多塞陪审团定理、等价原理、AI 区块链、去信任人工智能。 (要编写合约,请使用 genlayer-dev-claw-skill 代替。)
安装 / 下载方式
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totalclaw skills install shop:totalclaw:totalclaw~acastellana-genlayercURL直接下载,无需登录
curl -fsSL https://skills.taituai.com/api/skills/totalclaw%3Atotalclaw~acastellana-genlayer/file -o acastellana-genlayer.md# GenLayer Knowledge Skill GenLayer is a decentralized protocol where multiple LLMs reach consensus on complex tasks and decisions—the first AI-native blockchain. ## When to Use This Skill - Explaining GenLayer to investors, developers, or partners - Writing about the protocol, architecture, or vision - Understanding consensus mechanics (Optimistic Democracy) - Technical architecture questions - Ecosystem/product discussions - Pitch decks and positioning **For writing/deploying Intelligent Contracts** → use `genlayer-dev-claw-skill` ## Quick Reference **Tagline:** The intelligence layer of the Internet **One-liner:** > Bitcoin is trustless money. Ethereum is trustless apps. GenLayer is trustless decision-making. **What it does:** Enables smart contracts (called "Intelligent Contracts") to natively access the Internet, process natural language, and make subjective decisions through AI-powered validator consensus. ## Core Concepts | Concept | Description | |---------|-------------| | **Intelligent Contracts** | AI-powered smart contracts in Python that can reason, access web data, and handle non-deterministic operations | | **Optimistic Democracy** | Consensus mechanism using multiple LLMs + Condorcet Jury Theorem for trustless decision-making | | **Equivalence Principle** | How validators agree on "equivalent" outputs despite non-deterministic AI results | | **GenVM** | The execution environment for Intelligent Contracts | | **GEN Token** | Native token for staking, gas, and governance | ## Files in This Skill | File | Use For | |------|---------| | `overview.md` | What GenLayer is, mission, positioning | | `thesis.md` | Philosophical foundation: trust, AI, why GenLayer exists | | `architecture.md` | Technical components, GenVM, validators, rollup integration | | `consensus.md` | Optimistic Democracy, Equivalence Principle, appeals, slashing | | `intelligent-contracts.md` | High-level developer concepts | | `staking.md` | Validator/delegator economics | | `use-cases.md` | What you can build | ## Elevator Pitches ### 30 seconds (technical) GenLayer is a blockchain where validators run LLMs to reach consensus on complex, non-deterministic tasks. Smart contracts can access the web, understand natural language, and make subjective decisions—all validated by multiple AI models using game theory to converge on truth. ### 30 seconds (business) GenLayer enables a new class of applications that need trustless AI decision-making: prediction markets on subjective events, AI-powered DAOs, automated dispute resolution, and performance-based contracts that verify real-world outcomes without human intervention. ### One sentence for crypto people "It's like having a decentralized, incorruptible AI judge that can read the internet and understand context." ### One sentence for AI people "It's infrastructure for AI agents to make binding agreements and resolve disputes without trusting any single model." ## Key Differentiators | vs. Oracles | vs. Other AI Chains | |-------------|---------------------| | No pre-defined data feeds | Native LLM consensus, not just inference | | Contracts can fetch any URL | Subjective decisions, not just compute | | Natural language understanding | Game-theoretic truth convergence | | No oracle setup required | Python-native development | ## Key Links - [Documentation](https://docs.genlayer.com) - [SDK](https://sdk.genlayer.com) - [GitHub](https://github.com/genlayerlabs) - [Discord](https://discord.gg/8Jm4v89VAu) - [Telegram](https://t.me/genlayer) - [Jury Theorem Simulator](https://jury-theorem.genlayer.com) ## Companion Skill **`genlayer-dev-claw-skill`** — For actually building Intelligent Contracts: - SDK API reference - Code examples - CLI commands - Deployment guides --- ## 中文说明 # GenLayer 知识技能 GenLayer 是一个去中心化协议,多个 LLM 在其中就复杂任务和决策达成共识——它是首个人工智能原生区块链。 ## 何时使用此技能 - 向投资者、开发者或合作伙伴解释 GenLayer - 撰写有关该协议、架构或愿景的内容 - 理解共识机制(乐观民主) - 技术架构问题 - 生态系统/产品讨论 - 推介材料与定位 **若要编写/部署智能合约(Intelligent Contracts)** → 请使用 `genlayer-dev-claw-skill` ## 快速参考 **标语:** 互联网的智能层 **一句话概括:** > 比特币是去信任的货币。以太坊是去信任的应用。GenLayer 是去信任的决策。 **它做什么:** 让智能合约(称为 "Intelligent Contracts")能够原生访问互联网、处理自然语言,并通过 AI 驱动的验证者共识做出主观决策。 ## 核心概念 | 概念 | 说明 | |---------|-------------| | **Intelligent Contracts** | 用 Python 编写的 AI 驱动智能合约,能够推理、访问网络数据并处理非确定性操作 | | **Optimistic Democracy** | 使用多个 LLM + 孔多塞陪审团定理的共识机制,用于去信任决策 | | **Equivalence Principle** | 验证者如何在 AI 结果具有非确定性的情况下就"等价"输出达成一致 | | **GenVM** | 智能合约的执行环境 | | **GEN Token** | 用于质押、gas 和治理的原生代币 | ## 此技能中的文件 | 文件 | 用途 | |------|---------| | `overview.md` | GenLayer 是什么、使命、定位 | | `thesis.md` | 哲学基础:信任、AI,以及 GenLayer 存在的原因 | | `architecture.md` | 技术组件、GenVM、验证者、rollup 集成 | | `consensus.md` | 乐观民主、等价原理、申诉、罚没 | | `intelligent-contracts.md` | 高层开发者概念 | | `staking.md` | 验证者/委托者经济学 | | `use-cases.md` | 你可以构建什么 | ## 电梯演讲 ### 30 秒(技术向) GenLayer 是一条区块链,验证者在其上运行 LLM,就复杂的非确定性任务达成共识。智能合约可以访问网络、理解自然语言并做出主观决策——所有这些都由多个 AI 模型使用博弈论验证,从而收敛到真相。 ### 30 秒(商业向) GenLayer 支持一类需要去信任 AI 决策的全新应用:针对主观事件的预测市场、AI 驱动的 DAO、自动化纠纷解决,以及无需人工干预即可验证现实世界结果的绩效型合约。 ### 给加密圈人士的一句话 "就像拥有一位去中心化、不可腐蚀的 AI 法官,能够阅读互联网并理解上下文。" ### 给 AI 圈人士的一句话 "它是基础设施,让 AI 代理无需信任任何单一模型即可达成具有约束力的协议并解决纠纷。" ## 关键差异化优势 | 相对于预言机(Oracles) | 相对于其他 AI 链 | |-------------|---------------------| | 无需预定义的数据源 | 原生 LLM 共识,而不仅仅是推理 | | 合约可以抓取任意 URL | 主观决策,而不仅仅是计算 | | 自然语言理解 | 博弈论式的真相收敛 | | 无需配置预言机 | Python 原生开发 | ## 关键链接 - [Documentation](https://docs.genlayer.com) - [SDK](https://sdk.genlayer.com) - [GitHub](https://github.com/genlayerlabs) - [Discord](https://discord.gg/8Jm4v89VAu) - [Telegram](https://t.me/genlayer) - [Jury Theorem Simulator](https://jury-theorem.genlayer.com) ## 配套技能 **`genlayer-dev-claw-skill`** —— 用于实际构建智能合约: - SDK API 参考 - 代码示例 - CLI 命令 - 部署指南