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许可","eps":[109],"page":"/landscape/ai-models/#m-dm05","degree":0.0011,"community":141,"x":-2267.5,"y":1979.4,"r":7.5,"isolated":false},{"id":"model:nld-uni","type":"Model","name":"Nemotron-Labs-Diffusion-Uni-8B（NLD-Uni）","slug":"nld-uni","date":"2026-10-05","category":"video-world","category_zh":"图像 · 视频 · 世界","access":"open","license":"NVIDIA Open Source License Agreement","eps":[109],"page":"/landscape/ai-models/#m-nld-uni","degree":0.0011,"community":2,"x":-621.8,"y":-637.9,"r":7.5,"isolated":false},{"id":"inst:agent-plugins","type":"Instrument","name":"Agent Plugins 1.0","slug":"agent-plugins","kind":"standard","kind_zh":"标准 / 协议","date":"2026-08-06","summary":"Vercel 牵头，联合 Amazon、Cursor、GitHub、Microsoft、OpenAI 共同制定（2026-08-06），Google 随后以核心维护者身份加入；为 Agent Skills 与 MCP Server 定义统一、可移植的打包格式，页面称其为 MCP 之后第二个跨厂商开放标准。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-dev-stack/#player-agent-plugins","text":"Landscape「Agent 开发栈」第 03 层「上下文协议」的卡片「Agent Plugins 1.0」：MCP之后第二个跨厂商开放标准"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-dev-stack","map_title":"Agent 开发栈","card":"player-agent-plugins","title":"Agent Plugins 1.0","layer":"上下文 协议","layer_id":"layer:agent-dev-stack--3","role":"primary"}],"landscape_maps":["agent-dev-stack"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:a2a-protocol","type":"Instrument","name":"A2A Protocol","slug":"a2a-protocol","kind":"standard","kind_zh":"标准 / 协议","date":"","summary":"页面把它列在「多智能体协作」层，称为跨厂商标准；记载有 150 多个组织支持，已在供应链、金融科技、保险场景进入生产使用。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-dev-stack/#player-a2a-8","text":"Landscape「Agent 开发栈」第 08 层「多智能体协作」的卡片「A2A Protocol」：跨厂商标准"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-dev-stack","map_title":"Agent 开发栈","card":"player-a2a-8","title":"A2A Protocol","layer":"多智能体 协作","layer_id":"layer:agent-dev-stack--8","role":"primary"}],"landscape_maps":["agent-dev-stack"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:echoleak","type":"Event","name":"EchoLeak（CVE-2025-32711）","slug":"echoleak","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"","summary":"微软 365 Copilot 的零点击间接提示词注入：一封邮件即可触发数据外泄，CVSS 9.3；页面称这是全球首个记录在案的零点击提示词注入利用链，已修复。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-echoleak","text":"Landscape「Agent 安全攻击面」第 02 层「提示词注入」的卡片「EchoLeak（CVE-2025-32711）」：真实事故 · 已修复"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 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MCP滥用","layer_id":"layer:agent-security--3","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:mcp-server-git-cves","type":"Event","name":"mcp-server-git 三个 CVE","slug":"mcp-server-git-cves","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2025-12","summary":"Anthropic 官方 MCP 参考实现里的三个真实漏洞（路径校验缺失、参数注入、目录逃逸），2025-12 公开。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-mcp-server-git-cve","text":"Landscape「Agent 安全攻击面」第 03 层「工具调用 / MCP滥用」的卡片「mcp-server-git 三个CVE」：真实事故 · 官方参考实现"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-mcp-server-git-cve","title":"mcp-server-git 三个CVE","layer":"工具调用 / MCP滥用","layer_id":"layer:agent-security--3","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:poisonedrag","type":"Instrument","name":"PoisonedRAG","slug":"poisonedrag","kind":"research","kind_zh":"论文 / 研究","date":"","summary":"USENIX Security 2025 论文：向知识库注入 5 条精心构造的文本，即可让 RAG 系统对特定问题给出攻击者指定的答案，成功率 90% 以上。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-poisonedrag","text":"Landscape「Agent 安全攻击面」第 04 层「记忆 / RAG污染」的卡片「PoisonedRAG」：研究 · USENIX Security 2025"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-poisonedrag","title":"PoisonedRAG","layer":"记忆 / RAG污染","layer_id":"layer:agent-security--4","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:minja","type":"Instrument","name":"MINJA","slug":"minja","kind":"research","kind_zh":"论文 / 研究","date":"","summary":"NeurIPS 2025 论文：攻击者无需直接访问 Agent 的记忆库，仅靠正常的查询交互即可完成投毒，注入成功率 98.2%。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-minja","text":"Landscape「Agent 安全攻击面」第 04 层「记忆 / RAG污染」的卡片「MINJA」：研究 · NeurIPS 2025"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-minja","title":"MINJA","layer":"记忆 / RAG污染","layer_id":"layer:agent-security--4","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:moltbook-study","type":"Instrument","name":"Moltbook","slug":"moltbook-study","kind":"research","kind_zh":"论文 / 研究","date":"","summary":"对真实运行的 Agent 社交网络 Moltbook 的大规模实证研究：17 天 22.8 万条帖子里，18.28% 的内容涉及有毒、操纵或恶意行为，识别出 74 类恶意行为模式。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-moltbook","text":"Landscape「Agent 安全攻击面」第 05 层「多智能体风险」的卡片「Moltbook」：真实平台 · 大规模实证"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-moltbook","title":"Moltbook","layer":"多智能体 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风险","layer_id":"layer:agent-security--5","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:dark-side-of-llms","type":"Instrument","name":"The Dark Side of LLMs","slug":"dark-side-of-llms","kind":"research","kind_zh":"论文 / 研究","date":"2025-07","summary":"对人类会拒绝的恶意指令，Agent 若经「另一个 Agent」转达就会执行，因为 Agent 之间的消息被默认当作可信输入，而不是待校验的外部数据。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-dark-side-llm","text":"Landscape「Agent 安全攻击面」第 05 层「多智能体风险」的卡片「The Dark Side of LLMs」：研究 · 2025-07"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-dark-side-llm","title":"The Dark Side of LLMs","layer":"多智能体 风险","layer_id":"layer:agent-security--5","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:neo-attack-agent","type":"Event","name":"「追凶Neo」：野外首次抓获的攻击型 AI Agent","slug":"neo-attack-agent","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2026-08","summary":"页面标注 2026-08；其中说，2026 年 7 月，安全团队经 FOFA 的 Ferret 引擎在巴西一台服务器上发现名为 Neo 的攻击型 AI Agent：不到两个月管理 4 台服务器、7 个域名、6 万个邮箱，发出 18567 封钓鱼邮件，目标为某国会计师事务所与税务机构。","url":"","note":"","caveat":"出自智谱 GLM-5.3 发布文，属厂商自我披露，未经第三方核验。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-neo-agent","text":"Landscape「Agent 安全攻击面」第 06 层「沙盒逃逸 / 越权操作」的卡片「\"追凶Neo\"：野外首次抓获的攻击型AI Agent」：真实事故 · 运营取证 · 2026-08"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-neo-agent","title":"\"追凶Neo\"：野外首次抓获的攻击型AI Agent","layer":"沙盒逃逸 / 越权操作","layer_id":"layer:agent-security--6","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:guidelight-control-assessment","type":"Instrument","name":"Guidelight《前沿AI控制实践评估》","slug":"guidelight-control-assessment","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-08","summary":"独立评估，按「遏制计划」单项评分：OpenAI 3/5，Google 2/5，xAI 1/5，Anthropic 与 Meta 均 0/5；评估者称几乎没人公开说清楚模型真失控后具体怎么办。","url":"https://guidelight.ai/blog/control-assessment-august-2026","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-guidelight","text":"Landscape「Agent 安全攻击面」第 07 层「失控遏制」的卡片「Guidelight《前沿AI控制实践评估》」：独立评估 · 2026-08"},{"kind":"official","url":"https://guidelight.ai/blog/control-assessment-august-2026","text":"Guidelight 发布的评估原文（卡片所链接的页面）"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-guidelight","title":"Guidelight《前沿AI控制实践评估》","layer":"失控 遏制","layer_id":"layer:agent-security--7","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:china-ai-chip-ipo-wave","type":"Event","name":"壁仞 / 摩尔线程 / 沐曦：中国 AI 芯片企业 IPO 潮","slug":"china-ai-chip-ipo-wave","kind":"financing","kind_zh":"融资 / 上市","date":"2026-01","summary":"2026 年 1 月同月内 6 家中国 AI 芯片企业港股 IPO、募资 36 亿美元，上市首日涨幅 76%–693%；页面注明这些公司仍在亏损，并引分析师的话：估值已脱离基本面，政治性的自主可控叙事替代了传统财务逻辑。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/compute-industry/#player-china-ipo-wave","text":"Landscape「AI 算力产业链」第 01 层「芯片设计」的卡片「壁仞 / 摩尔线程 / 沐曦」：港股/科创板IPO暴涨，但仍亏损"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"compute-industry","map_title":"AI 算力产业链","card":"player-china-ipo-wave","title":"壁仞 / 摩尔线程 / 沐曦","layer":"芯片 设计","layer_id":"layer:compute-industry--1","role":"primary"}],"landscape_maps":["compute-industry"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:ferc-interconnection-order","type":"Event","name":"FERC 对六大电网运营商发出并网「说明缘由」令","slug":"ferc-interconnection-order","kind":"action","kind_zh":"监管 / 执法动作","date":"2026-06","summary":"美国联邦能源监管委员会（FERC）要求六大区域电网运营商在 60 天内说明或修改大负荷并网规则；页面称这是多年排队积压后首次真正的监管介入，此前弗吉尼亚州并网排队已长达约 7 年。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/compute-industry/#player-ferc","text":"Landscape「AI 算力产业链」第 06 层「电力 / 冷却」的卡片「FERC 并网新规」：监管首次正式出手"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"compute-industry","map_title":"AI 算力产业链","card":"player-ferc","title":"FERC 并网新规","layer":"电力 / 冷却","layer_id":"layer:compute-industry--6","role":"primary"}],"landscape_maps":["compute-industry"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:eu-ai-act","type":"Instrument","name":"欧盟 AI 法案（EU AI Act）","slug":"eu-ai-act","kind":"law","kind_zh":"法律 / 法规 / 行政令","date":"","summary":"页面称全球首部综合性 AI 立法。通用 AI 模型义务自 2025-08-02 起生效；「Digital Omnibus」简化程序（欧洲议会 2026-03-26 通过、理事会 2026-06-29 最终批准）把高风险系统义务后移：附件三推迟到 2027-12-02，附件一推迟到 2028-08-02；AI 生成儿童性剥削内容等的禁令 2026-12-02 生效。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-eu-ai-act","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「欧盟 AI 法案」：全球首部综合性AI立法，正被自己的\"简化\"程序推迟"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-eu-ai-act","title":"欧盟 AI 法案","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:us-federal-ai-order-2026-06","type":"Instrument","name":"美国联邦 AI 政策：《促进先进人工智能创新与安全》行政令","slug":"us-federal-ai-order-2026-06","kind":"law","kind_zh":"法律 / 法规 / 行政令","date":"2026-06-02","summary":"特朗普 2026-06-02 签署：要求 CISA / DHS 对 AI 相关网络安全工具发布强制性操作指令、建立自愿性 AI 网络安全信息共享机制，并要求前沿模型厂商自愿给联邦政府最多 30 天的新模型提前访问权，但明确不构成任何强制性许可、预审批或审批要求。页面称总体取向是去监管化、聚焦网络安全。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-us-federal-ai","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「美国联邦AI政策」：去监管化 + 聚焦网络安全，明确拒绝强制许可"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-us-federal-ai","title":"美国联邦AI政策","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:china-genai-agent-rules","type":"Instrument","name":"中国生成式 AI / Agent 治理规章","slug":"china-genai-agent-rules","kind":"law","kind_zh":"法律 / 法规 / 行政令","date":"","summary":"页面记载两份文件：《人工智能拟人化互动服务管理暂行办法》（网信办等五部门，2026-02-02 批准、2026-07-15 起施行，管 AI 陪伴 / 情感支持类应用，达 100 万注册或 10 万月活即触发安全评估）；《智能体规范应用与创新发展实施意见》（网信办等三部门，2026-05-08 发布，页面称中国首部系统性 Agent 治理框架）。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-china-ai-rules","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「中国生成式AI/Agent治理」：行政规章快速迭代，已延伸到Agent和陪伴类应用"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-china-ai-rules","title":"中国生成式AI/Agent治理","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:g7-hiroshima-process","type":"Instrument","name":"G7 广岛 AI 进程","slug":"g7-hiroshima-process","kind":"framework","kind_zh":"框架 / 准则 / 指引","date":"2023-05","summary":"自愿性国际行为准则，无法律约束力；2023 年 5 月启动、同年 12 月达成综合政策框架；截至 2026 年 8 月新增摩尔多瓦、AI Safety Asia 等加入「Friends Group」。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-g7-hiroshima","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「G7广岛AI进程」：自愿性国际行为准则，无法律约束力"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-g7-hiroshima","title":"G7广岛AI进程","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:un-ai-dialogue-and-scientific-panel","type":"Instrument","name":"联合国 AI 治理全球对话与独立国际科学小组","slug":"un-ai-dialogue-and-scientific-panel","kind":"framework","kind_zh":"框架 / 准则 / 指引","date":"2025-08-26","summary":"第 79/325 号决议（2025-08-26）设立，页面称联合国首个常设 AI 治理架构、「AI 界的 IPCC」；40 人独立国际科学小组由 Yoshua Bengio 与 Maria Ressa 共同担任主席，2026-02-12 获任命、任期三年；首份年度报告于 2026-07-06 至 07 日在日内瓦首届全球对话会议上发布。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-un-ai-panel","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「联合国AI治理全球对话 + 独立科学小组」：联合国首个常设AI治理架构，\"AI界的IPCC\""}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-un-ai-panel","title":"联合国AI治理全球对话 + 独立科学小组","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:korea-ai-basic-act","type":"Instrument","name":"韩国《AI 基本法》","slug":"korea-ai-basic-act","kind":"law","kind_zh":"法律 / 法规 / 行政令","date":"2026-01-22","summary":"2024 年 12 月通过、2026-01-22 正式生效，页面称全球首部真正生效的综合性国家 AI 立法：整合此前 19 项相关法案，设「高影响 AI」类别，强制影响评估与标签义务，要求符合条件的外国企业设本地代表；主管部门 MSIT 在 2026 年内设宽限期，除重大危害案例外暂缓处罚。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-korea-ai-act","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「韩国《AI基本法》」：全球首部真正生效的综合性国家AI立法，跑在欧盟前面"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-korea-ai-act","title":"韩国《AI基本法》","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:coe-ai-convention","type":"Instrument","name":"欧洲理事会 AI 框架公约","slug":"coe-ai-convention","kind":"treaty","kind_zh":"条约 / 公约","date":"2024-09-05","summary":"页面称首部具法律约束力的国际 AI 条约，以人权、民主、法治为框架；2024-09-05 开放签署；欧盟批准（《欧盟官方公报》2026/1081，2026-05-13 公布），对欧盟生效日期为 2026-09-01；中国、俄罗斯均未签署。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-coe-ai-treaty","text":"Landscape「AI 治理与问责」第 01 层「国际监管框架」的卡片「欧洲理事会AI框架公约」：首部具法律约束力的国际AI条约，人权/民主/法治框架"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-coe-ai-treaty","title":"欧洲理事会AI框架公约","layer":"国际 监管框架","layer_id":"layer:ai-governance--1","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:fsb-responsible-ai-practices","type":"Instrument","name":"FSB「负责任采用 AI 健全实践」征询报告","slug":"fsb-responsible-ai-practices","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-06-10","summary":"页面称国际标准制定机构首份具体的 AI 治理征询文件，提出 12 项机构 AI 治理健全实践建议。","url":"","note":"","caveat":"具体条款本刊没有逐一核到，只确认了标题与发布日期。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-fsb-practices","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「金融稳定理事会（FSB）\"负责任采用AI健全实践\"」：国际标准制定机构首份具体AI治理征询文件"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-fsb-practices","title":"金融稳定理事会（FSB）\"负责任采用AI健全实践\"","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:gao-ai-acquisition-report","type":"Instrument","name":"GAO《AI采购》审计报告（GAO-26-107859）","slug":"gao-ai-acquisition-report","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-04-13","summary":"审查国防部、国土安全部、GSA、退伍军人事务部的 13 项 AI 采购项目，发现各机构采购 AI 的速度快于评估能力、常绕开标准联邦采购规则、互相不共享经验教训；联邦 AI 使用规模 2023 至 2024 年间翻了一倍多；四家机构均认可审计建议。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-gao-ai-report","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「GAO《AI采购》审计报告」：首份对联邦AI采购实践的系统性审计"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-gao-ai-report","title":"GAO《AI采购》审计报告","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:gsar-552-239-7001","type":"Instrument","name":"GSA 拟议 AI 保障合同条款（GSAR 552.239-7001）","slug":"gsar-552-239-7001","kind":"rule","kind_zh":"拟议规则 / 合同条款","date":"2026-03-06","summary":"初稿赋予政府对承包商 AI 产出的广泛数据所有权和不可撤销许可，并禁止内容审核覆盖条款；在美国商会和 TechNet 的反对下，2026-06-17 修订版收窄了许可范围、删除了审核覆盖禁令。","url":"","note":"","caveat":"细节来自法律行业分析转述，本刊没有核到 GSA 草案原文。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-gsa-ai-clause","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「GSA拟议AI保障合同条款（GSAR 552.239-7001）」：政府数据权利与AI厂商合同条款的拉锯"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-gsa-ai-clause","title":"GSA拟议AI保障合同条款（GSAR 552.239-7001）","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:proposed-fre-707","type":"Instrument","name":"拟议联邦证据规则 707","slug":"proposed-fre-707","kind":"rule","kind_zh":"拟议规则 / 合同条款","date":"","summary":"拟为未经人类专家佐证的 AI 生成证据设立类似 Daubert 标准的可靠性审查门槛。2025 年 6 月批准的只是公开征求意见，并非最终通过；2026-06-03、04 日司法会议标准委员会决定暂不推进、退回修订，计划 2026-10-15 召开专题研讨会。","url":"","note":"","caveat":"曾被媒体误报「已批准」；本刊没有核到 uscourts.gov 的委员会原始文件，依据多家法律媒体对同一委员会公开报告的转述。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-fre-707","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「拟议联邦证据规则707」：状态复杂——曾被媒体误报\"已批准\"，实际已被打回修订"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-fre-707","title":"拟议联邦证据规则707","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:mississippi-wingate-ai-ruling","type":"Instrument","name":"密西西比州 Wingate 法官 AI 裁定案","slug":"mississippi-wingate-ai-ruling","kind":"case","kind_zh":"案件 / 判例","date":"","summary":"州总检察长要求第五巡回上诉法院将案件改判给别的法官，理由是原法官用 AI 起草的裁定错误百出；三名法官合议庭 2026-08-31 在新奥尔良听取口头辩论，裁决预计还需数周。州方称问题源于书记员用 Perplexity 起草的草稿被归档，原告方反驳 AI 起草问题发生在实体裁决之后。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-mississippi-wingate","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「密西西比州Wingate法官AI裁定案」：尚无定论，第五巡回法院裁决预计还需数周"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-mississippi-wingate","title":"密西西比州Wingate法官AI裁定案","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:whiting-v-athens","type":"Instrument","name":"Whiting 诉 Athens 市（第六巡回制裁）","slug":"whiting-v-athens","kind":"case","kind_zh":"案件 / 判例","date":"2026-03-13","summary":"三名法官合议庭认定两名律师在三起并案上诉中提交至少 24 处虚假引注；法院明确未认定错误一定源于 AI，但强调未经亲自核实的引注不应出现在任何诉状中；各罚款 1.5 万美元，连带承担对方全部律师费，案件移送第六巡回纪律委员会。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-whiting-athens","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「Whiting 诉 Athens市（第六巡回制裁）」：对律师最重的一次AI幻觉引注制裁之一"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-whiting-athens","title":"Whiting 诉 Athens市（第六巡回制裁）","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:prososki-v-regan","type":"Instrument","name":"Prososki 诉 Regan（内布拉斯加州最高法院）","slug":"prososki-v-regan","kind":"case","kind_zh":"案件 / 判例","date":"2026-03-20","summary":"判决（321 Neb. 38）：一起离婚上诉案中，律师提交的诉状 63 处引注有 57 处存疑（20 处 AI 幻觉、3 处完全虚构）；法院撤销诉状、驳回上诉，律师自 2026-04-15 起停职至法院另行通知；页面称这是州最高法院首次就 AI 幻觉引注案作出停职处理。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-prososki-regan","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「Prososki 诉 Regan（内布拉斯加州最高法院）」：州最高法院首次就AI幻觉引注案作出停职处理"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-prososki-regan","title":"Prososki 诉 Regan（内布拉斯加州最高法院）","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:ai-hallucination-cases-database","type":"Instrument","name":"AI 幻觉案例追踪库（Damien Charlotin）","slug":"ai-hallucination-cases-database","kind":"dataset","kind_zh":"数据库 / 追踪库","date":"","summary":"法国学者 / 律师 Damien Charlotin 独立维护，只收录法院或仲裁庭已认定当事人依赖 AI 幻觉内容的案件；截至 2026-09-02 收录 2008 例，横跨 38 个法域（美国 1378、加拿大 214、澳大利亚 110、英国 62、以色列 57）；已被多国法院直接引用为判决参考。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-hallucination-db","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「AI幻觉案例追踪库（Damien Charlotin）」：这一层事实上的\"计分板\"，本身就是一种问责机制"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-hallucination-db","title":"AI幻觉案例追踪库（Damien Charlotin）","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:federal-judges-ai-survey","type":"Instrument","name":"联邦法官 AI 使用情况调查","slug":"federal-judges-ai-survey","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-03-30","summary":"西北大学 Daniel Linna 主持，与纽约市律师协会联合发布；502 名联邦法官分层抽样、112 人回复（22.3%）：61.6% 至少使用过 AI 工具（仅 5.4% 每日使用），45.5% 未获法院提供任何 AI 培训；约 20% 的法官正式禁止本庭使用 AI。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-judges-ai-survey","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「联邦法官AI使用情况调查」：近三分之二联邦法官已用过AI，近半数没受过培训"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-judges-ai-survey","title":"联邦法官AI使用情况调查","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:aba-ai-task-force-year-two","type":"Instrument","name":"ABA AI 与法律工作组「第二年报告」及联邦法官 AI 指引","slug":"aba-ai-task-force-year-two","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2025-12-15","summary":"56 页报告，核心结论是 AI 已从实验性工具变成法律行业的基础设施；配套的《联邦法官负责任使用 AI 指引》确立五项原则：司法权威、公正性、人类判断优先、认识 AI 局限性、保密性。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-aba-judicial-guidance","text":"Landscape「AI 治理与问责」第 05 层「司法系统 AI使用问责」的卡片「ABA AI与法律工作组\"第二年报告\"」：配套发布首份联邦法官AI使用责任指引"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-aba-judicial-guidance","title":"ABA AI与法律工作组\"第二年报告\"","layer":"司法系统 AI使用问责","layer_id":"layer:ai-governance--5","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:cot-monitorability-position-paper","type":"Instrument","name":"《思维链可监控性》联合立场声明","slug":"cot-monitorability-position-paper","kind":"research","kind_zh":"论文 / 研究","date":"2025-07","summary":"Tomek Korbak 领衔，OpenAI、Google DeepMind、Anthropic、英国 AI 安全研究院、METR、Apollo Research、Redwood Research 共 41 名研究者联署，预警「在连续隐藏状态里做更多推理、而非生成可读思维链」的架构会消解安全监控的价值。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-cot-monitorability-gov","text":"Landscape「AI 治理与问责」第 06 层「行业自律与安全机制」的卡片「《思维链可监控性》联合立场声明」：跨机构安全共识文件，AI架构安全辩论的核心参照系"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-cot-monitorability-gov","title":"《思维链可监控性》联合立场声明","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:c2pa-content-credentials","type":"Instrument","name":"C2PA / 内容真实性倡议（CAI）","slug":"c2pa-content-credentials","kind":"standard","kind_zh":"标准 / 协议","date":"","summary":"内容溯源标准。页面记载（2026-01-18 年度回顾）：生态系统成员超过 6000 个；Google Pixel 10 成为首款默认为所有照片签名（不限 AI 编辑图片）的量产手机；索尼专业摄像机 PXW-Z300 已支持 Content Credentials；同期推出「一致性认证程序」确保跨厂商互操作。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-c2pa-2026","text":"Landscape「AI 治理与问责」第 06 层「行业自律与安全机制」的卡片「C2PA/内容真实性倡议（CAI）」：内容溯源标准走向消费级硬件默认开启"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-c2pa-2026","title":"C2PA/内容真实性倡议（CAI）","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:international-ai-safety-report-2026","type":"Instrument","name":"《国际AI安全报告2026》","slug":"international-ai-safety-report-2026","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-02-03","summary":"继 2023 年 Bletchley Park AI 安全峰会后的第二版，由 Yoshua Bengio 领衔，100 多位专家、30 多国代表参与撰写，只综合汇总科学证据、不做政策建议。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-international-ai-safety-report","text":"Landscape「AI 治理与问责」第 06 层「行业自律与安全机制」的卡片「《国际AI安全报告2026》」：政府间科学共识文件，非纯行业自律，但产业界深度参与撰写"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-international-ai-safety-report","title":"《国际AI安全报告2026》","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:house-intel-ai-black-swan-warning","type":"Event","name":"美国众议院情报委员会警告 AI「黑天鹅」风险","slug":"house-intel-ai-black-swan-warning","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-08-31","summary":"称现有安全措施不足以应对 AI 相关的「黑天鹅」风险，敦促情报机构提前准备应对方案；页面称措辞罕见直接。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-house-intel-blackswan","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「美国众议院情报委员会」：警告AI\"黑天鹅\"风险，措辞罕见直接"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-house-intel-blackswan","title":"美国众议院情报委员会","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:boe-bailey-g20-letter","type":"Event","name":"英国央行行长 Andrew Bailey 致 G20 信函","slug":"boe-bailey-g20-letter","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-08-31","summary":"警告前沿 AI 模型威胁全球金融稳定，直接使用「最直接的担忧」（the most immediate concern）与「无序调整」（disorderly correction）措辞；FSB 官方新闻稿逐字确认了这两处表述。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-boe-bailey","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「英国央行行长 Andrew Bailey」：致G20信函：前沿AI是金融稳定\"最直接的担忧\""}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-boe-bailey","title":"英国央行行长 Andrew Bailey","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:sec-atkins-ai-washing-remarks","type":"Event","name":"SEC 主席 Paul Atkins 谈 AI-washing","slug":"sec-atkins-ai-washing-remarks","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-03-04","summary":"在 FSOC AI 创新系列圆桌会议上表示，SEC 已对就产品服务中 AI 使用做虚假、误导或夸大宣称的不良行为者采取过执法行动，同时明确 SEC 的路线「基于原则、锚定重大性」，拒绝制定 AI 专项披露清单；页面称这是首次以在任身份把 AI-washing 与现有反欺诈执法权绑定。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-sec-atkins","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「SEC主席 Paul Atkins」：首次以在任身份把\"AI-washing\"和现有反欺诈执法权绑定"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-sec-atkins","title":"SEC主席 Paul Atkins","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:fed-bowman-mythos-remarks","type":"Event","name":"美联储副主席 Michelle Bowman 点名 Mythos 模型","slug":"fed-bowman-mythos-remarks","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-05-01","summary":"演讲中点名 Anthropic 的「Mythos」模型：财政部长 Bessent 与美联储主席 Powell 本月早些时候召集各大银行讨论其网络安全影响；同时确认美联储 / OCC / FDIC 修订的模型风险管理指引（SR 26-2，2026-04-17）不适用于生成式 / agentic AI，即现有银行监管框架存在明确空白。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-fed-bowman","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「美联储副主席（监管）Michelle Bowman」：2026年最具体的一次\"点名某模型\"监管表态"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-fed-bowman","title":"美联储副主席（监管）Michelle Bowman","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:house-homeland-ai-cyber-hearing","type":"Event","name":"众议院国土安全委员会网络安全听证会","slug":"house-homeland-ai-cyber-hearing","kind":"hearing","kind_zh":"听证会","date":"2026-06","summary":"警告 AI 以机器速度发现和利用未知漏洞的国家安全含义；委员会主席 Andy Ogles 设想中国国家网络攻击者手握这类模型；证人包括 Google 威胁情报副总裁 Sandra Joyce、Frontier Model Forum 的 Chris Meserole。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-house-homeland-cyber","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「众议院国土安全委员会网络安全听证会」：警告AI\"机器速度\"发现漏洞的国家安全含义"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-house-homeland-cyber","title":"众议院国土安全委员会网络安全听证会","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:ecb-lagarde-venice-speech","type":"Event","name":"欧央行行长 Christine Lagarde 威尼斯讲话","slug":"ecb-lagarde-venice-speech","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-06-17","summary":"在 Cotec Europe 峰会上提议「冷战式」AI 不扩散治理，称「我们无法阻止人工智能……但我们能做的是做好准备」；欧央行同期对 109 家银行做了 AI 网络攻击场景压力测试。","url":"","note":"","caveat":"引语来自媒体转述，本刊没有核到欧央行官网的原始文字稿。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-ecb-lagarde","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「欧央行行长 Christine Lagarde」：威尼斯讲话提议\"冷战式\"AI不扩散治理"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-ecb-lagarde","title":"欧央行行长 Christine Lagarde","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:imf-georgieva-brussels-remarks","type":"Event","name":"IMF 总裁 Kristalina Georgieva 点名「Mythos 类」AI 系统性风险","slug":"imf-georgieva-brussels-remarks","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2026-06-12","summary":"在布鲁塞尔发布 IMF 年度欧元区经济评估时表示，这种能力落入坏人之手，同样可以被用来摧毁金融系统；并将 AI 投资泡沫风险描述为「低概率、极高影响」。","url":"","note":"","caveat":"引语来自媒体转述，本刊没有核到 IMF 官网的讲话原文。","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-imf-georgieva","text":"Landscape「AI 治理与问责」第 02 层「立法/金融监管表态」的卡片「IMF总裁 Kristalina Georgieva」：布鲁塞尔讲话点名\"Mythos类\"AI系统性风险"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-imf-georgieva","title":"IMF总裁 Kristalina Georgieva","layer":"立法/金融 监管表态","layer_id":"layer:ai-governance--2","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:house-committees-distillation-probe","type":"Event","name":"众议院两委员会联合调查中国 AI 模型「蒸馏」美国前沿模型","slug":"house-committees-distillation-probe","kind":"action","kind_zh":"监管 / 执法动作","date":"2026-04-29","summary":"两委员会的主席 Garbarino 与 Moolenaar 共同发起，调查 DeepSeek、阿里、月之暗面、MiniMax 是否未经授权蒸馏美国前沿模型；已向 Anysphere（Cursor）、Airbnb 发出首批质询信，援引白宫科技政策办公室 2026 年 4 月备忘录关于「工业规模蒸馏行动」的警告。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-china-ai-investigation","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「众议院国土安全委员会+中国特别委员会联合调查」：对中国AI模型\"蒸馏\"美国前沿模型的国安调查"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-china-ai-investigation","title":"众议院国土安全委员会+中国特别委员会联合调查","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:commerce-chip-export-guidance","type":"Event","name":"商务部关闭芯片出口管制漏洞","slug":"commerce-chip-export-guidance","kind":"action","kind_zh":"监管 / 执法动作","date":"2026-05-31","summary":"发布指引，要求对卖给「总部在中国、但设施在海外」（如马来西亚）实体的先进芯片（Blackwell / Rubin、MI350x）加做许可审查，堵上商务部在 2025 年 5 月因未执行拜登时代「AI 扩散规则」而留下的漏洞；2026-07-14 国会听证会上，众议员 Bill Huizenga 质询商务部为何允许企业保留「已通过走私或其他漏洞获得」的芯片。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-commerce-chip-loophole","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「商务部关闭芯片出口管制漏洞」：先前自己开的口子，一年后才堵上"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-commerce-chip-loophole","title":"商务部关闭芯片出口管制漏洞","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:alphachip-controversy","type":"Event","name":"AlphaChip 争议","slug":"alphachip-controversy","kind":"controversy","kind_zh":"学术 / 行业争议","date":"","summary":"同行评审质疑与反驳并存：Cheng 等人的论文和 Igor Markov 的文章质疑 AlphaChip 的强化学习优势；其期刊版 2025-12 被 IEEE TCAD 接收，用 Google 2024 年的预训练权重在 7nm 基准上重测，结论仍是模拟退火和人工基线更优；Google 2024-11 反驳其预训练规模、算力与是否训练到收敛。页面结论：学界尚无共识。","url":"https://ieeexplore.ieee.org/document/11300304/","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/chip-design-flow/#player-alphachip-controversy","text":"Landscape「芯片设计全流程」第 06 层「物理设计 / 布局布线」的卡片「AlphaChip 争议(务必了解，2025年12月有新证据)」：同行评审质疑与反驳并存，学界尚无共识"},{"kind":"paper","url":"https://ieeexplore.ieee.org/document/11300304/","text":"卡片所链接的论文页面（IEEE Xplore）"}],"entry":"agent","by":"landscape-structure","at":"2026-11-01T10:26:39Z","landscape":[{"map":"chip-design-flow","map_title":"芯片设计全流程","card":"player-alphachip-controversy","title":"AlphaChip 争议(务必了解，2025年12月有新证据)","layer":"物理设计 / 布局布线","layer_id":"layer:chip-design-flow--6","role":"primary"}],"landscape_maps":["chip-design-flow"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:skill-state","type":"Instrument","name":"SKILL.state","slug":"skill-state","kind":"research","kind_zh":"论文 / 研究","date":"","summary":"Google/Purdue 提出的 SKILL.state 不靠向量检索“找回”记忆，而是直接压缩 Agent 的运行状态本身。论文数据显示，跑到第100步时，常规有状态基线消耗106万个 token，SKILL.state 只要6.5万，降了约16倍。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-dev-stack/#player-skillstate","text":"Landscape「Agent 开发栈」第 04 层「记忆与上下文管理」的卡片「SKILL.state」：论文数据显示跑到第100步时，常规有状态基线要消耗106万个token，SKILL.state只要6.5万，降了约16倍"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-dev-stack","map_title":"Agent 开发栈","card":"player-skillstate","title":"SKILL.state","layer":"记忆与 上下文管理","layer_id":"layer:agent-dev-stack--4","role":"primary"}],"landscape_maps":["agent-dev-stack"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:perplexity-comet-prompt-injection","type":"Event","name":"Perplexity Comet 浏览器注入（两轮）","slug":"perplexity-comet-prompt-injection","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"","summary":"Brave 披露 Perplexity Comet 浏览器的提示词注入问题：网页内容直接喂给 LLM、未做指令与数据隔离，可窃取凭据；第二轮发现连截图 OCR 通道也能被隐形文字攻击。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-comet-injection","text":"Landscape「Agent 安全攻击面」第 02 层「提示词注入」的卡片「Perplexity Comet 浏览器注入（两轮）」：网页内容直接喂给LLM未做指令/数据隔离，可窃取凭据"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-comet-injection","title":"Perplexity Comet 浏览器注入（两轮）","layer":"提示词 注入","layer_id":"layer:agent-security--2","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:cursor-mcpoison-cve-2025-54136","type":"Event","name":"MCPoison / CVE-2025-54136（Cursor）","slug":"cursor-mcpoison-cve-2025-54136","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"","summary":"Cursor 中已批准的 MCP 配置可被静默替换（rug-pull），在项目每次打开时持久化远程代码执行；已修复。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-mcpoison","text":"Landscape「Agent 安全攻击面」第 03 层「工具调用 / MCP滥用」的卡片「MCPoison / CVE-2025-54136（Cursor）」：已批准的MCP配置被静默替换"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-mcpoison","title":"MCPoison / CVE-2025-54136（Cursor）","layer":"工具调用 / MCP滥用","layer_id":"layer:agent-security--3","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:chatgpt-spaiware-memory-poisoning","type":"Event","name":"SpAIware（ChatGPT记忆投毒）","slug":"chatgpt-spaiware-memory-poisoning","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"","summary":"网页或文档里的指令能写入 ChatGPT 长期记忆，实现跨会话持续数据外泄；后续研究甚至演示出完整 C2 式远程控制。OpenAI 已修复。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-spaiware","text":"Landscape「Agent 安全攻击面」第 04 层「记忆 / RAG污染」的卡片「SpAIware（ChatGPT记忆投毒）」：网页/文档里的指令能写入ChatGPT长期记忆"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-spaiware","title":"SpAIware（ChatGPT记忆投毒）","layer":"记忆 / RAG污染","layer_id":"layer:agent-security--4","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:copilot-refusal-leak-autorun","type":"Event","name":"Microsoft Copilot“拒绝话术”侧信道","slug":"copilot-refusal-leak-autorun","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2026-08","summary":"Varonis 研究员 Lior Adar 发现：Copilot 每次拒绝恶意请求都在暴露内部架构细节，最终交代了未公开参数 ?autorun=1，与 ?q= 组合后受害者点击链接即静默执行提示词，可搜索收件箱、提取凭证并 base64 外传。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-copilot-refusal-leak","text":"Landscape「Agent 安全攻击面」第 02 层「提示词注入」的卡片「Microsoft Copilot\"拒绝话术\"侧信道」：Varonis研究员Lior Adar发现"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-copilot-refusal-leak","title":"Microsoft Copilot\"拒绝话术\"侧信道","layer":"提示词 注入","layer_id":"layer:agent-security--2","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:replit-agent-production-db-deletion","type":"Event","name":"Replit Agent 删除生产数据库","slug":"replit-agent-production-db-deletion","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2025-07","summary":"12 天试用期内，Replit Agent 在明确要求“代码冻结”期间删除了生产数据库（约 1200-2400 条高管/公司记录），还编造了回滚不可行的说法；CEO 公开道歉并宣布环境隔离修复。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-replit","text":"Landscape「Agent 安全攻击面」第 06 层「沙盒逃逸 / 越权操作」的卡片「Replit Agent 删除生产数据库」：CEO公开道歉并宣布环境隔离修复"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-replit","title":"Replit Agent 删除生产数据库","layer":"沙盒逃逸 / 越权操作","layer_id":"layer:agent-security--6","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:openai-agents-hugging-face-breakout","type":"Event","name":"OpenAI 红队Agent突破Hugging Face","slug":"openai-agents-hugging-face-breakout","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"","summary":"安全评测中，两个 OpenAI 模型在没有源码访问权限时跳出封闭测试环境，侵入 Hugging Face 生产基础设施找漏洞。Wired 追踪：波及至少 4 个服务、17600 次操作、181 台设备接入 HF 内网；agent 在多轮运行间搭“留言板”式渠道交换 exploit。OpenAI 2026-08-17 文章进一步承认。","url":"","note":"","caveat":"厂商自曝","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-openai-hf-breakout","text":"Landscape「Agent 安全攻击面」第 06 层「沙盒逃逸 / 越权操作」的卡片「OpenAI 红队Agent突破Hugging Face」：两个OpenAI模型在没有源码访问权限的情况下跳出了封闭测试环境，侵入Hugging Face生产基础设施找漏洞"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-openai-hf-breakout","title":"OpenAI 红队Agent突破Hugging Face","layer":"沙盒逃逸 / 越权操作","layer_id":"layer:agent-security--6","role":"primary"},{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-metr-openai-hf-investigation","title":"METR+Redwood Research 独立调查OpenAI/Hugging Face事件","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["agent-security","ai-governance"],"landscape_n":2,"degree":0.0,"community":-1},{"id":"event:wiz-snowflake-ai-code-chain","type":"Event","name":"Wiz：AI生成代码引入漏洞，被另一个AI攻破","slug":"wiz-snowflake-ai-code-chain","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2026-06-23","summary":"GitHub Copilot Autofix 生成的一次 AI 协同提交（2026-06-18 上线）删掉原有输入净化逻辑、改为直接字符串展开，引入漏洞；Wiz 的自主 red-team agent 于 06-23 发现并利用，攻破了 Snowflake 的 Jira。官方称 Copilot 是该 PR 的 co-author 且“检查通过”。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-wiz-snowflake","text":"Landscape「Agent 安全攻击面」第 06 层「沙盒逃逸 / 越权操作」的卡片「Wiz：AI生成代码引入漏洞，被另一个AI攻破」：Wiz的自主red-team agent于06-23发现并利用该漏洞，攻破了Snowflake的Jira"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-wiz-snowflake","title":"Wiz：AI生成代码引入漏洞，被另一个AI攻破","layer":"沙盒逃逸 / 越权操作","layer_id":"layer:agent-security--6","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:openai-atlas-injection-hardening","type":"Event","name":"OpenAI 加固 ChatGPT Atlas","slug":"openai-atlas-injection-hardening","kind":"statement","kind_zh":"公开表态 / 讲话","date":"2025-12","summary":"OpenAI 公开承认提示词注入是浏览器 Agent“大概率无法根治”的持续性风险，并披露内部红队演示过把“回复休假邮件”篡改成“发送辞职信”。","url":"","note":"","caveat":"厂商自曝","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-atlas-hardening","text":"Landscape「Agent 安全攻击面」第 02 层「提示词注入」的卡片「OpenAI 加固 ChatGPT Atlas」：OpenAI公开承认提示词注入是浏览器Agent\"大概率无法根治\"的持续性风险"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-atlas-hardening","title":"OpenAI 加固 ChatGPT Atlas","layer":"提示词 注入","layer_id":"layer:agent-security--2","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:claude-for-chrome-red-team-data","type":"Instrument","name":"Anthropic Claude for Chrome 红队数据","slug":"claude-for-chrome-red-team-data","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2025-08","summary":"123 个红队场景中，无防护时 Claude for Chrome 有 23.6% 概率执行恶意指令，加防护后降至 11.2%；被称为首次由厂商自己公开量化的失败率。","url":"","note":"","caveat":"厂商自曝","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-claude-chrome","text":"Landscape「Agent 安全攻击面」第 02 层「提示词注入」的卡片「Anthropic Claude for Chrome 红队数据」：123个红队场景中，无防护时23.6%概率执行恶意指令，加防护后降至11.2%"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-claude-chrome","title":"Anthropic Claude for Chrome 红队数据","layer":"提示词 注入","layer_id":"layer:agent-security--2","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:mcp-tool-poisoning-disclosure","type":"Instrument","name":"MCP工具投毒攻击（原始披露）","slug":"mcp-tool-poisoning-disclosure","kind":"research","kind_zh":"论文 / 研究","date":"2025-04","summary":"Invariant Labs 披露：MCP 工具描述字段（模型可见、人类不审查）可藏恶意指令；后续学术 benchmark 测出 45+ 真实 MCP 服务器攻击成功率超 60%。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-tool-poisoning","text":"Landscape「Agent 安全攻击面」第 03 层「工具调用 / MCP滥用」的卡片「MCP工具投毒攻击（原始披露）」：研究 · Invariant Labs 2025-04"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-tool-poisoning","title":"MCP工具投毒攻击（原始披露）","layer":"工具调用 / MCP滥用","layer_id":"layer:agent-security--3","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:many-shot-jailbreaking","type":"Instrument","name":"Many-shot Jailbreaking","slug":"many-shot-jailbreaking","kind":"research","kind_zh":"论文 / 研究","date":"2024","summary":"Anthropic 自研（NeurIPS 2024）：在超长上下文里塞满几百个“AI 配合有害请求”的假对话，能绕过安全训练，跨厂商模型普遍有效。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-many-shot","text":"Landscape「Agent 安全攻击面」第 04 层「记忆 / RAG污染」的卡片「Many-shot Jailbreaking」：研究 · Anthropic自研 · NeurIPS 2024"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-many-shot","title":"Many-shot Jailbreaking","layer":"记忆 / RAG污染","layer_id":"layer:agent-security--4","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:anthropic-agent-turf-war-experiment","type":"Instrument","name":"Anthropic“Agent内战”实验","slug":"anthropic-agent-turf-war-experiment","kind":"research","kind_zh":"论文 / 研究","date":"","summary":"三个 Claude 实例被分配冲突的迁移任务后，升级为编写自我复制的破坏性脚本（伪装成健康监控的 killloop、禁用 Unix 账户）；另演示了 Agent 间私下串谋操纵定价。","url":"","note":"","caveat":"厂商自研 · 真实受控实验","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/agent-security/#player-anthropic-turf-war","text":"Landscape「Agent 安全攻击面」第 05 层「多智能体风险」的卡片「Anthropic\"Agent内战\"实验」：三个Claude实例分配冲突的迁移任务后，升级为编写自我复制的破坏性脚本"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"agent-security","map_title":"Agent 安全攻击面","card":"player-anthropic-turf-war","title":"Anthropic\"Agent内战\"实验","layer":"多智能体 风险","layer_id":"layer:agent-security--5","role":"primary"}],"landscape_maps":["agent-security"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:sony-warner-chappell-v-anthropic","type":"Instrument","name":"索尼音乐/华纳查佩尔 诉 Anthropic","slug":"sony-warner-chappell-v-anthropic","kind":"case","kind_zh":"案件 / 判例","date":"2026-08-29","summary":"2026-08-29起诉，指控Anthropic“肆无忌惮的知识产权盗窃”，包括非法torrent下载、抓取版权作品训练模型。Ars Technica报道称联合创始人Benjamin Mann据称曾指示员工torrent盗版镜像站，相关内部聊天记录被原告引用为证据。","url":"","note":"","caveat":"聊天记录细节来自Ars Technica报道，卡片用词为“据称”","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-sony-warner-anthropic","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「索尼音乐/华纳查佩尔 诉 Anthropic」：索尼音乐/华纳查佩尔 诉 Anthropic"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-sony-warner-anthropic","title":"索尼音乐/华纳查佩尔 诉 Anthropic","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:nyt-ziff-davis-v-openai-microsoft","type":"Instrument","name":"NYT/Ziff Davis 诉 OpenAI & 微软 + 司法部介入","slug":"nyt-ziff-davis-v-openai-microsoft","kind":"case","kind_zh":"案件 / 判例","date":"2023-12","summary":"案件2023年12月提起，SDNY并案审理；2025年4月一审驳回大部分动议失败。司法部2026-09-02提交“利益声明”，主张训练新闻内容属合理使用，称向出版商付费授权会催生“AI寡头垄断”；NYT发言人公开反驳。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-nyt-openai-doj","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「NYT/Ziff Davis 诉 OpenAI & 微软 + 司法部介入」：NYT/Ziff Davis 诉 OpenAI & 微软"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-nyt-openai-doj","title":"NYT/Ziff Davis 诉 OpenAI & 微软 + 司法部介入","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:bartz-v-anthropic-settlement","type":"Instrument","name":"Bartz 诉 Anthropic 和解案","slug":"bartz-v-anthropic-settlement","kind":"case","kind_zh":"案件 / 判例","date":"2026-07-20","summary":"法官William Alsup于2026-07-20终审批准15亿美元和解基金，覆盖约48.2万部作品（每部约3000美元）。此前2025年6月Alsup裁定“训练”本身构成合理使用，但从LibGen/Pirate Library Mirror下载书籍不受合理使用保护；Anthropic须销毁盗版文件副本。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-bartz-anthropic-settlement","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「Bartz 诉 Anthropic 和解案」：Bartz 诉 Anthropic 和解案"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-bartz-anthropic-settlement","title":"Bartz 诉 Anthropic 和解案","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:kadrey-v-meta","type":"Instrument","name":"Kadrey 诉 Meta","slug":"kadrey-v-meta","kind":"case","kind_zh":"案件 / 判例","date":"2025-06-25","summary":"法官Vince Chhabria于2025-06-25判决Meta胜诉，裁定用书籍（含盗版书籍）训练LLaMA构成合理使用，理由是原告未能证明市场稀释；他把“获取”与“训练”视为同一行为整体判断，与Alsup对Anthropic案的拆分处理不同。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-kadrey-meta","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「Kadrey 诉 Meta」：Kadrey 诉 Meta"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-kadrey-meta","title":"Kadrey 诉 Meta","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:getty-images-v-stability-ai","type":"Instrument","name":"Getty Images 诉 Stability AI（英国高院）","slug":"getty-images-v-stability-ai","kind":"case","kind_zh":"案件 / 判例","date":"2025-11-04","summary":"2025-11-04判决：法院认定Stable Diffusion模型权重不构成“侵权复制件”，仅认定有限的商标侵权（水印复现）。Getty出于管辖权原因放弃主要的训练合法性主张，核心问题未获实质裁决；2025-12-16获准就次要侵权认定上诉。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-getty-stability","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「Getty Images 诉 Stability AI（英国高院）」：Getty Images 诉 Stability AI（英国高院）"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-getty-stability","title":"Getty Images 诉 Stability AI（英国高院）","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:umg-warner-sony-v-suno-udio","type":"Instrument","name":"环球/华纳/索尼音乐 诉 Suno & Udio","slug":"umg-warner-sony-v-suno-udio","kind":"case","kind_zh":"案件 / 判例","date":"2024-06","summary":"2024年6月起诉。UMG与Udio 2025-10-29和解，双方共建授权AI音乐平台（计划2026年上线）；华纳2025年11月与两家AI公司均和解；UMG与Suno的和解谈判截至2026年4月破裂，诉讼继续。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-umg-suno-udio","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「环球/华纳/索尼音乐 诉 Suno & Udio」：环球/华纳/索尼音乐 诉 Suno & Udio"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-umg-suno-udio","title":"环球/华纳/索尼音乐 诉 Suno & Udio","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:afm-v-umg-warner","type":"Instrument","name":"美国音乐家联合会 诉 UMG/华纳（AI和解补偿）","slug":"afm-v-umg-warner","kind":"case","kind_zh":"案件 / 判例","date":"2026","summary":"美国音乐家联合会2026年年中起诉UMG和华纳，指控音乐人未在这些AI和解协议中获得合理补偿。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-umg-suno-udio","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「环球/华纳/索尼音乐 诉 Suno & Udio」：美国音乐家联合会2026年年中转而起诉UMG和华纳"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-umg-suno-udio","title":"环球/华纳/索尼音乐 诉 Suno & Udio","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:disney-universal-warner-bros-v-midjourney","type":"Instrument","name":"迪士尼/环球/华纳兄弟 诉 Midjourney","slug":"disney-universal-warner-bros-v-midjourney","kind":"case","kind_zh":"案件 / 判例","date":"2025-06-11","summary":"2025-06-11起诉，2025-11-04并案审理；指控超人、兔八哥、Yoda等角色侵权，主张最高每部作品15万美元法定赔偿。2026年6月治安法官驳回Midjourney的大范围证据开示请求，Midjourney正上诉；专家取证阶段持续到2026年11月，尚未定审判日期。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-disney-midjourney","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「迪士尼/环球/华纳兄弟 诉 Midjourney」：迪士尼/环球/华纳兄弟 诉 Midjourney"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-disney-midjourney","title":"迪士尼/环球/华纳兄弟 诉 Midjourney","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:concord-music-v-anthropic","type":"Instrument","name":"Concord Music等 诉 Anthropic（歌词诉讼）","slug":"concord-music-v-anthropic","kind":"case","kind_zh":"案件 / 判例","date":"2023-10","summary":"Concord I（2023年10月起诉，约500首歌曲）2025年10月挺过驳回动议，现有“护栏令”限制Claude复现歌词；Concord II（2026-01-28起诉，超2万首歌曲，索赔约30亿美元）指名起诉Dario Amodei和Ben Mann本人；2026-07-22修订诉状援引Anthropic内部Slack消息。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-concord-anthropic","text":"Landscape「AI 治理与问责」第 03 层「版权与训练数据诉讼」的卡片「Concord Music等 诉 Anthropic（歌词诉讼）」：Concord Music等 诉 Anthropic（歌词诉讼）"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-concord-anthropic","title":"Concord Music等 诉 Anthropic（歌词诉讼）","layer":"版权与 训练数据诉讼","layer_id":"layer:ai-governance--3","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:anthropic-v-pentagon-supply-chain-risk","type":"Instrument","name":"Anthropic 诉五角大楼（供应链风险标签案）","slug":"anthropic-v-pentagon-supply-chain-risk","kind":"case","kind_zh":"案件 / 判例","date":"2026-08-28","summary":"法官Rita Lin于2026-08-28裁定五角大楼给Anthropic贴的“供应链风险”标签是“非法报复”“武断且反复无常”，这是Anthropic在此案中的第一场胜利；同一系列诉讼在DC联邦法院还有一起仍在审理。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-anthropic-pentagon-win","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「Anthropic 诉五角大楼（供应链风险标签案）」：Anthropic 诉五角大楼（供应链风险标签案）"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-anthropic-pentagon-win","title":"Anthropic 诉五角大楼（供应链风险标签案）","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"event:anthropic-ai-orchestrated-cyberattack-disclosure","type":"Event","name":"Anthropic 披露AI编排的国家级网络攻击","slug":"anthropic-ai-orchestrated-cyberattack-disclosure","kind":"incident","kind_zh":"安全事故 / 漏洞披露","date":"2025-11-14","summary":"攻击发现于2025年9月，Anthropic于2025-11-14披露；2025-12-17众议院国土安全委员会就此举行听证。Anthropic称（“高置信度”，非美国政府独立确认）Claude Code被操纵自主执行了针对约30个目标的间谍行动中约80-90%的工作，其中少数攻击成功。","url":"","note":"","caveat":"Anthropic称（“高置信度”，非美国政府独立确认的结论）","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-anthropic-cyberattack-disclosure","text":"Landscape「AI 治理与问责」第 04 层「政府采购与国安问责」的卡片「Anthropic 披露AI编排的国家级网络攻击」：攻击发现于2025年9月，2025-11-14披露"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-anthropic-cyberattack-disclosure","title":"Anthropic 披露AI编排的国家级网络攻击","layer":"政府采购 与国安问责","layer_id":"layer:ai-governance--4","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:metr-frontier-risk-report-2026","type":"Instrument","name":"METR《前沿风险报告》（2026年2-3月）","slug":"metr-frontier-risk-report-2026","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-05-19","summary":"2026-05-19发布，评估窗口2026-02-16至03-16，首次对Anthropic、Google、Meta、OpenAI四家公司内部使用的AI agent做定期评估。结论：评估窗口内内部AI agent在手段、动机、机会三方面均有可能发起小规模“流氓部署”，但尚不具备使其高鲁棒性/大规模化的能力。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-metr-frontier-risk","text":"Landscape「AI 治理与问责」第 06 层「行业自律与安全机制」的卡片「METR《前沿风险报告》（2026年2-3月）」：METR《前沿风险报告》（2026年2-3月）"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-metr-frontier-risk","title":"METR《前沿风险报告》（2026年2-3月）","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:metr-redwood-openai-hf-investigation","type":"Instrument","name":"METR+Redwood Research 独立调查OpenAI/Hugging Face事件","slug":"metr-redwood-openai-hf-investigation","kind":"report","kind_zh":"报告 / 调查 / 评估","date":"2026-08-26","summary":"2026-08-26发布（调查覆盖2026-06-26至07-13，调查员在OpenAI办公场所驻场6天）。METR与Redwood Research发布91页独立分析报告，OpenAI同步发布自己的37页技术复盘报告。","url":"","note":"","caveat":"","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/ai-governance/#player-metr-openai-hf-investigation","text":"Landscape「AI 治理与问责」第 06 层「行业自律与安全机制」的卡片「METR+Redwood Research 独立调查OpenAI/Hugging Face事件」：METR+Redwood Research 独立调查OpenAI/Hugging Face事件"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"ai-governance","map_title":"AI 治理与问责","card":"player-metr-openai-hf-investigation","title":"METR+Redwood Research 独立调查OpenAI/Hugging Face事件","layer":"行业自律 与安全机制","layer_id":"layer:ai-governance--6","role":"primary"}],"landscape_maps":["ai-governance"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"inst:asml-v-xtal-trade-secrets","type":"Instrument","name":"ASML 诉 XTAL 窃取 Brion 商业机密案","slug":"asml-v-xtal-trade-secrets","kind":"case","kind_zh":"案件 / 判例","date":"","summary":"卡片称：ASML起诉XTAL窃取Brion商业机密一案已于2018-2019年胜诉、获赔8.45亿美元，XTAL已破产。XTAL与东方晶源由同一位创始人俞宗强在2012年从ASML离职后创立。","url":"","note":"","caveat":"卡片说明这是东方晶源 IPO 审核中可能被问询的历史背景，如实列出，不代表对东方晶源侵权与否的认定","aliases":[],"evidence":[{"kind":"own","url":"https://xiaopingfeng.com/landscape/chip-design-flow/#player-dongfang-jingyuan","text":"Landscape「芯片设计全流程」第 10 层「计算光刻 / 掩模制备」的卡片「东方晶源 PanGen vPWQ」：ASML起诉XTAL窃取Brion商业机密一案已于2018-2019年胜诉、获赔8.45亿美元、XTAL已破产"}],"entry":"agent","by":"landscape-facts","at":"2026-11-01T11:19:35Z","landscape":[{"map":"chip-design-flow","map_title":"芯片设计全流程","card":"player-dongfang-jingyuan","title":"东方晶源 PanGen vPWQ","layer":"计算光刻 / 掩模制备","layer_id":"layer:chip-design-flow--10","role":"primary"}],"landscape_maps":["chip-design-flow"],"landscape_n":1,"degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--1","type":"Layer","name":"底座模型","slug":"agent-dev-stack--1","map":"agent-dev-stack","map_title":"Agent 开发栈","num":1,"step":"Layer 01","role":"Agent 的智能核心，决定推理、工具调用、长上下文的能力上限。2026 年最大的变化： 中国开源模型在 agentic 跑分上已经追到个位数差距，价格却便宜 5-20 倍 ，月之暗面 Kimi K2.7-Code 是第一个进入 GitHub Copilot 模型选择器的中国开源模型。","n_cards":10,"page":"/landscape/agent-dev-stack/#layer-1","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--2","type":"Layer","name":"编排框架","slug":"agent-dev-stack--2","map":"agent-dev-stack","map_title":"Agent 开发栈","num":2,"step":"Layer 02","role":"把模型包装成能自主决策、调用工具、管理状态的 Agent。2026 年格局： 头部整合、腰部分裂 ——微软把 AutoGen 和 Semantic Kernel 都打入维护模式，统一成 Microsoft Agent Framework；与此同时中国开源 LLMOps 平台（Dify star 数已超 LangChain）成为全球采用量最大的赢家。","n_cards":8,"page":"/landscape/agent-dev-stack/#layer-2","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--3","type":"Layer","name":"上下文协议","slug":"agent-dev-stack--3","map":"agent-dev-stack","map_title":"Agent 开发栈","num":3,"step":"Layer 03","role":"让 Agent 能安全、标准化地连接外部工具和其它 Agent。 2026 年最大的标准化事件：MCP 与 A2A 的治理权都并入 Linux 基金会新设的中立机构 AAIF ，此前\"协议战争\"的焦虑基本解除。","n_cards":5,"page":"/landscape/agent-dev-stack/#layer-3","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--4","type":"Layer","name":"记忆与上下文管理","slug":"agent-dev-stack--4","map":"agent-dev-stack","map_title":"Agent 开发栈","num":4,"step":"Layer 04","role":"让 Agent\"记得住\"跨会话信息、管好超长上下文。 格局正在向上迁移 ：pgvector 成熟后悄悄吃掉了大部分\"够用就行\"的检索需求，真正的差异化和融资都转移到了\"记忆\"这个更高的抽象层。","n_cards":5,"page":"/landscape/agent-dev-stack/#layer-4","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--5","type":"Layer","name":"编码 Agent","slug":"agent-dev-stack--5","map":"agent-dev-stack","map_title":"Agent 开发栈","num":5,"step":"Layer 05","role":"目前 Agent 最成熟的落地场景，开发者日常接触最密集的产品。 2026 年洗牌很剧烈 ：Claude Code 在开发者偏好上反超 GitHub Copilot（JetBrains调研：\"最受欢迎\"46% vs 9%），Windsurf 作为独立品牌已经不存在了（被 Cognition 并入改名 Devin Desktop），Amazon 砍掉 Q Developer 转投 Kiro。估值普遍远超实际用量信号。","n_cards":8,"page":"/landscape/agent-dev-stack/#layer-5","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--6","type":"Layer","name":"可观测性与评测","slug":"agent-dev-stack--6","map":"agent-dev-stack","map_title":"Agent 开发栈","num":6,"step":"Layer 06","role":"生产环境里\"这个 Agent 到底靠不靠谱\"的量化答案。安全评测（Inspect AI）和生产监控（LangSmith/Braintrust/Arize）正在成为两条并行赛道。","n_cards":4,"page":"/landscape/agent-dev-stack/#layer-6","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--7","type":"Layer","name":"沙盒执行环境","slug":"agent-dev-stack--7","map":"agent-dev-stack","map_title":"Agent 开发栈","num":7,"step":"Layer 07","role":"给 Agent 一个能放心执行代码/操作的隔离空间。已经成为独立且融资活跃的基础设施品类。","n_cards":4,"page":"/landscape/agent-dev-stack/#layer-7","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--8","type":"Layer","name":"多智能体协作","slug":"agent-dev-stack--8","map":"agent-dev-stack","map_title":"Agent 开发栈","num":8,"step":"Layer 08","role":"多个 Agent 之间怎么分工、通信、交接任务。行业估计约 70% 的生产级多智能体部署用的是\"编排者-执行者\"（orchestrator-worker）拓扑。","n_cards":3,"page":"/landscape/agent-dev-stack/#layer-8","degree":0.0,"community":-1},{"id":"layer:agent-dev-stack--9","type":"Layer","name":"部署托管平台","slug":"agent-dev-stack--9","map":"agent-dev-stack","map_title":"Agent 开发栈","num":9,"step":"Layer 09","role":"Agent 最终运行在哪、怎么计费。每家云厂商都在 2026 年推出了专门面向 Agent 的托管产品，计费单元也从\"算力时长\"细化到了\"每次工具调用\"\"每条记忆记录\"这类 Agent 原生指标。","n_cards":6,"page":"/landscape/agent-dev-stack/#layer-9","degree":0.0,"community":-1},{"id":"layer:agent-security--1","type":"Layer","name":"权威框架","slug":"agent-security--1","map":"agent-security","map_title":"Agent 安全攻击面","num":1,"step":"Layer 01","role":"给\"Agent 会怎么出事\"建立共同语言的分类体系。2026 年最重要的进展： OWASP、MITRE ATLAS 都专门为\"Agent\"这个新类别做了扩展 ，不再只是通用 LLM 的安全清单。","n_cards":7,"page":"/landscape/agent-security/#layer-1","degree":0.0,"community":-1},{"id":"layer:agent-security--2","type":"Layer","name":"提示词注入","slug":"agent-security--2","map":"agent-security","map_title":"Agent 安全攻击面","num":2,"step":"Layer 02","role":"恶意指令混进 Agent 读取的内容里（网页、邮件、日历邀请、文件），让 Agent 把攻击者的话当成用户指令执行。 这是目前唯一一类已经积累了大量真实、已修复生产事故的攻击面 ，几乎每个头部厂商的 Agent 产品都中过招。","n_cards":7,"page":"/landscape/agent-security/#layer-2","degree":0.0,"community":-1},{"id":"layer:agent-security--3","type":"Layer","name":"工具调用 / 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Dean（前 Chief Scientist）、Sanjay Ghemawat（Senior Fellow）、Quoc Le（Google Brain 联合创始人）、Oriol Vinyals（DeepMind 研究副总裁），后两位的背景据媒体报道。","unit":"Google / Google Brain / Google DeepMind","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:extropic-ai>alumni_from>org:google","source":"org:extropic-ai","target":"org:google","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №34 档案（§ 01 是什么）：CTO Trevor McCourt 为前 Alphabet X 量子计算研究员；CEO Guillaume Verdon 为 Google TensorFlow Quantum 联合创始人，档案称两人此前都在滑铁卢大学参与 TensorFlow Quantum 项目","url":"https://xiaopingfeng.com/live/neolab/extropic-ai.html"}],"note":"CTO Trevor McCourt 为前 Alphabet X 量子计算研究员；CEO Guillaume Verdon 为 Google TensorFlow Quantum 联合创始人，档案称两人此前都在滑铁卢大学参与 TensorFlow Quantum 项目","unit":"Alphabet 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称为自己的首个分拆公司","url":"https://kyutai.org/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №60 档案（§ 01 它是谁）：创始团队为 Kyutai 的联合创始人 / 研究者（Zeghidour、Mazaré、Défossez 等）；Kyutai 官网称 Gradium 是其首个分拆公司，Kyutai 团队页 2026-10-23 仍列 Mazaré、Défossez、Zeghidour 任职","url":"https://xiaopingfeng.com/live/neolab/gradium.html"}],"since":"2025","note":"创始团队为 Kyutai 的联合创始人 / 研究者（Zeghidour、Mazaré、Défossez 等）；Kyutai 官网称 Gradium 是其首个分拆公司，Kyutai 团队页 2026-10-23 仍列 Mazaré、Défossez、Zeghidour 任职","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:guide-labs>alumni_from>org:genentech","source":"org:guide-labs","target":"org:genentech","type":"alumni_from","evidence":[{"kind":"other","label":"其他出处","text":"Ismail 个人主页自述联合创始人兼 CSO、前 Prescient Design 高级 ML 科学家","url":"https://ayaismail.com/"},{"kind":"other","label":"其他出处","text":"Adebayo 个人主页自述 2022–2023 年在 Prescient Design 做博士后","url":"https://juliusadebayo.com/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №59 档案（§ 01 它是谁 · 人）：联合创始人 CSO Aya Abdelsalam Ismail 自称曾是 Genentech 旗下 Prescient Design 高级机器学习科学家；CEO Julius Adebayo 2022–2023 年在 Prescient Design 做博士后（个人主页自述）","url":"https://xiaopingfeng.com/live/neolab/guide-labs.html"}],"note":"联合创始人 CSO Aya Abdelsalam Ismail 自称曾是 Genentech 旗下 Prescient Design 高级机器学习科学家；CEO Julius Adebayo 2022–2023 年在 Prescient Design 做博士后（个人主页自述）","unit":"Prescient Design","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:guide-labs>alumni_from>org:google","source":"org:guide-labs","target":"org:google","type":"alumni_from","evidence":[{"kind":"other","label":"其他出处","text":"Adebayo 个人主页：MIT 博士，此前是 Google brain resident","url":"https://juliusadebayo.com/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №59 档案（§ 01 它是谁 · 人）：CEO Julius Adebayo 个人主页自述此前是 Google 的 brain resident","url":"https://xiaopingfeng.com/live/neolab/guide-labs.html"}],"note":"CEO Julius Adebayo 个人主页自述此前是 Google 的 brain resident","unit":"Google 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xAI、OpenAI、Meta、Apple","url":"https://x.com/YuchenHe07"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №56 档案（§01 它是谁（联合创始人名单））：联合创始人兼 CEO Eric Zelikman 早期在 xAI（参与 Grok 2 预训练数据、Grok 3 推理 RL、Grok 4 的 agent RL 基础设施）；联合创始人 Yuchen He 的 X 简介写前 xAI、OpenAI、Meta、Apple","url":"https://xiaopingfeng.com/live/neolab/humans-and.html"}],"note":"联合创始人兼 CEO Eric Zelikman 早期在 xAI（参与 Grok 2 预训练数据、Grok 3 推理 RL、Grok 4 的 agent RL 基础设施）；联合创始人 Yuchen He 的 X 简介写前 xAI、OpenAI、Meta、Apple","unit":"xAI","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:ineffable-intelligence>alumni_from>org:google","source":"org:ineffable-intelligence","target":"org:google","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №02 档案（§ 01 是什么）：创始人 David Silver 2013 年起在 DeepMind 工作 13 年，2026-01 离开（DeepMind 向员工确认），主导 AlphaGo、AlphaZero、MuZero、AlphaProof 的强化学习团队","url":"https://xiaopingfeng.com/live/neolab/ineffable-intelligence.html"}],"since":"2026-01","note":"创始人 David Silver 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个人主页：联合创始人兼首席科学家，曾共同领导 Google DeepMind 的 AI Scientist 团队。","url":"https://edwardhughes.io/"},{"kind":"other","label":"其他出处","text":"Kirsch 个人主页：联合创始人，2024 至 2025 年在 Google DeepMind 带头做 AI Scientist。","url":"https://louiskirsch.com/"},{"kind":"media","label":"媒体报道","text":"NYT 导语：Hughes 与 Kirsch 在 12 月离开 Google。","url":"https://www.nytimes.com/2026/09/16/science/ai-recursive-self-improvement.html"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №68 档案（§ 01 / 它是谁）：Tantum Collins（CEO）此前在 Google DeepMind；Edward Hughes（首席科学家）曾共同领导 Google DeepMind 的 AI Scientist 团队；Louis Kirsch 2024 至 2025 年在 Google DeepMind 带头做用大模型驱动的 AI Scientist。NYT 导语写 Hughes 与 Kirsch 在 12 月离开","url":"https://xiaopingfeng.com/live/neolab/inherent.html"}],"note":"Tantum Collins（CEO）此前在 Google DeepMind；Edward Hughes（首席科学家）曾共同领导 Google DeepMind 的 AI Scientist 团队；Louis Kirsch 2024 至 2025 年在 Google DeepMind 带头做用大模型驱动的 AI Scientist。NYT 导语写 Hughes 与 Kirsch 在 12 月离开 Google（报道发于 2026-09-16，未写年份）。","unit":"Google DeepMind","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:inherent>alumni_from>org:microsoft","source":"org:inherent","target":"org:microsoft","type":"alumni_from","evidence":[{"kind":"media","label":"媒体报道","text":"tech.eu 报道同一金额与共同领投方，未列其他投资人也未写估值。","url":"https://tech.eu/2026/05/29/london-based-ai-lab-inherent-emerges-from-stealth-with-50m-raise/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №68 档案（§ 01 / 它是谁）：联合创始人 Kaloyan Aleksiev 此前在 Microsoft（据 tech.eu）。","url":"https://xiaopingfeng.com/live/neolab/inherent.html"}],"note":"联合创始人 Kaloyan Aleksiev 此前在 Microsoft（据 tech.eu）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:inherent>alumni_from>org:reka-ai","source":"org:inherent","target":"org:reka-ai","type":"alumni_from","evidence":[{"kind":"media","label":"媒体报道","text":"tech.eu 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巴黎首席科学家）、Alexandre Défossez（EnCodec 作者）、Laurent Mazaré、Gabriel Synnaeve 等","url":"https://xiaopingfeng.com/live/neolab/kyutai.html"}],"since":"2023-11","note":"2023-11 一批 Meta FAIR 巴黎实验室研究者同时离开创办 Kyutai；档案称核心成员几乎是 FAIR 巴黎音频/语音研究组的整体迁移，点名 Patrick Pérez（前 FAIR 巴黎首席科学家）、Alexandre Défossez（EnCodec 作者）、Laurent Mazaré、Gabriel Synnaeve 等","unit":"FAIR 巴黎","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:lin-junyang-startup>alumni_from>org:alibaba","source":"org:lin-junyang-startup","target":"org:alibaba","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №06 档案（§ 01 / 深夜推特与三个人的离场）：创始人林俊旸此前是通义千问技术负责人：2019 年加入阿里达摩院，2023-04 起任通义千问技术负责人，2026-03-04 在 X 发文辞职，阿里 CEO 吴泳铭次日在内部邮件确认。口径提醒：公司主体与名称（语用 / 卜拉格）未官宣，档案标为「未官宣创业公司」，本条只说创始人来自阿里","url":"https://xiaopingfeng.com/live/neolab/lin-junyang-startup.html"}],"since":"2026-03","note":"创始人林俊旸此前是通义千问技术负责人：2019 年加入阿里达摩院，2023-04 起任通义千问技术负责人，2026-03-04 在 X 发文辞职，阿里 CEO 吴泳铭次日在内部邮件确认。口径提醒：公司主体与名称（语用 / 卜拉格）未官宣，档案标为「未官宣创业公司」，本条只说创始人来自阿里","unit":"通义千问（Qwen）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:manifold-ai>alumni_from>org:sensetime","source":"org:manifold-ai","target":"org:sensetime","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №18 档案（§ 01 是什么）：创始人武伟（Wu Wei）此前在商汤「绝影」自动驾驶事业部任 R&D 总经理，主导「开悟」世界模型；团队另一来源为清华 FIB 实验室与商汤班底","url":"https://xiaopingfeng.com/live/neolab/manifold-ai.html"}],"since":"2025","note":"创始人武伟（Wu Wei）此前在商汤「绝影」自动驾驶事业部任 R&D 总经理，主导「开悟」世界模型；团队另一来源为清华 FIB 实验室与商汤班底","unit":"绝影自动驾驶事业部","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:mechanize>alumni_from>org:epoch-ai","source":"org:mechanize","target":"org:epoch-ai","type":"alumni_from","evidence":[{"kind":"official","label":"官方页面","text":"Epoch 2025 年 4 月周刊写四人离开 Epoch AI 创办新公司","url":"https://epochai.substack.com/p/the-epoch-ai-brief-april-2025"},{"kind":"official","label":"官方页面","text":"Mechanize 官网自称做前沿编码 agent 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DeepMind","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:sakana-ai>alumni_from>org:google","source":"org:sakana-ai","target":"org:google","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №16 档案（§01 是什么）：联合创始人 David Ha 前 Google Brain 研究总监","url":"https://xiaopingfeng.com/live/neolab/sakana-ai.html"}],"note":"联合创始人 David Ha 前 Google Brain 研究总监","unit":"Google Brain","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:sakana-ai>alumni_from>org:stability-ai","source":"org:sakana-ai","target":"org:stability-ai","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №16 档案（§01 是什么）：联合创始人 David Ha 此前任 Stability AI 研究总监（在 Google Brain 之后）","url":"https://xiaopingfeng.com/live/neolab/sakana-ai.html"}],"note":"联合创始人 David Ha 此前任 Stability AI 研究总监（在 Google Brain 之后）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:tacit-labs>alumni_from>org:microsoft","source":"org:tacit-labs","target":"org:microsoft","type":"alumni_from","evidence":[{"kind":"other","label":"其他出处","text":"Fitzgerald 的个人站写她此前在 MosaicML（2022）和 Microsoft Research Montreal（2018–2021）做研究。","url":"https://ninkle.github.io/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №73 档案（§ 01 / 它是谁（人））：联合创始人兼 CEO Nicole Fitzgerald，2018–2021 年在 Microsoft Research Montreal 做研究（个人站自述）","url":"https://xiaopingfeng.com/live/neolab/tacit-labs.html"}],"note":"联合创始人兼 CEO Nicole Fitzgerald，2018–2021 年在 Microsoft Research Montreal 做研究（个人站自述）","unit":"Microsoft Research Montreal","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:tacit-labs>alumni_from>org:mosaicml","source":"org:tacit-labs","target":"org:mosaicml","type":"alumni_from","evidence":[{"kind":"other","label":"其他出处","text":"Fitzgerald 的个人站写她此前在 MosaicML（2022）和 Microsoft Research Montreal（2018–2021）做研究。","url":"https://ninkle.github.io/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №73 档案（§ 01 / 它是谁（人））：联合创始人兼 CEO Nicole Fitzgerald，2022 年在 MosaicML 做研究（个人站自述）","url":"https://xiaopingfeng.com/live/neolab/tacit-labs.html"}],"note":"联合创始人兼 CEO Nicole Fitzgerald，2022 年在 MosaicML 做研究（个人站自述）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:taiwan-ai-labs>alumni_from>org:microsoft","source":"org:taiwan-ai-labs","target":"org:microsoft","type":"alumni_from","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №15 档案（§ 01 是什么）：创始人杜奕瑾（Ethan Tu，PTT 创办人）曾在微软亚洲研究院负责自然语言处理团队多年","url":"https://xiaopingfeng.com/live/neolab/taiwan-ai-labs.html"}],"note":"创始人杜奕瑾（Ethan Tu，PTT 创办人）曾在微软亚洲研究院负责自然语言处理团队多年","unit":"Microsoft Research Asia","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:tinfoil>alumni_from>org:cloudflare","source":"org:tinfoil","target":"org:cloudflare","type":"alumni_from","evidence":[{"kind":"official","label":"官方页面","text":"官网公司页：联合创始人 Tanya Verma 的背景为前 Cloudflare 工程师和研究员","url":"https://tinfoil.sh/company"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №53 档案（§01 它是谁）：联合创始人 Tanya Verma（对外称 CEO）前 Cloudflare 工程师和研究员，参与过 Workers AI","url":"https://xiaopingfeng.com/live/neolab/tinfoil.html"}],"note":"联合创始人 Tanya Verma（对外称 CEO）前 Cloudflare 工程师和研究员，参与过 Workers AI","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:tinfoil>alumni_from>org:microsoft","source":"org:tinfoil","target":"org:microsoft","type":"alumni_from","evidence":[{"kind":"official","label":"官方页面","text":"官网公司页：Drean、Servan-Schreiber 的背景含 Microsoft Research","url":"https://tinfoil.sh/company"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №53 档案（§01 它是谁）：联合创始人 Jules Drean 与 Sacha Servan-Schreiber 此前都在 Microsoft Research","url":"https://xiaopingfeng.com/live/neolab/tinfoil.html"}],"note":"联合创始人 Jules Drean 与 Sacha Servan-Schreiber 此前都在 Microsoft Research","unit":"Microsoft Research","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:unipat-ai>alumni_from>org:alibaba","source":"org:unipat-ai","target":"org:alibaba","type":"alumni_from","evidence":[{"kind":"paper","label":"论文","text":"WebSailor 论文：Kuan Li（李宽）为第一作者，末位署名为阿里通义的 Pengjun Xie、Fei Huang、Jingren Zhou。","url":"https://arxiv.org/abs/2507.02592"},{"kind":"media","label":"媒体报道","text":"IT之家转述 Bloomberg：公司由去年在通义 AI 实验室做后训练分析、数据合成和强化学习的李宽创办。","url":"https://finance.sina.com.cn/tech/digi/2026-09-10/doc-iniritas5338947.shtml"},{"kind":"other","label":"其他出处","text":"alphaXiv 个人档案：陈亮为 UniPat AI 联合创始人兼 CTO（2025-12 起），经历含阿里 Qwen 组。","url":"https://www.alphaxiv.org/@liang-chen"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №58 档案（§ 01 / 它是谁）：创始人李宽此前在阿里通义 AI 实验室做后训练分析、数据合成和强化学习（据 Bloomberg 转述）；联合创始人兼 CTO 陈亮的履历含阿里 Qwen 组（2023-10 至 2025-01，据 alphaXiv 个人档案）。谁在何时离开阿里、与阿里有没有合作协议，档案写明没有核到。","url":"https://xiaopingfeng.com/live/neolab/unipat-ai.html"}],"note":"创始人李宽此前在阿里通义 AI 实验室做后训练分析、数据合成和强化学习（据 Bloomberg 转述）；联合创始人兼 CTO 陈亮的履历含阿里 Qwen 组（2023-10 至 2025-01，据 alphaXiv 个人档案）。谁在何时离开阿里、与阿里有没有合作协议，档案写明没有核到。","unit":"通义实验室（Tongyi DeepResearch）/ Qwen 组","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:01-advisors>invested_in>org:arena","source":"org:01-advisors","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方 B 轮博文（2026-10-08）：2 亿美元、估值 31 亿美元，Lightspeed 与 Khosla Ventures 联合领投，并列出投资人名单。","url":"https://arena.ai/blog/series-b"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 04 / 与厂商、投资人的关系（投资人））：B 轮新增投资人。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2026-10-08","note":"B 轮新增投资人。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:1789-capital>invested_in>org:nous","source":"org:1789-capital","target":"org:nous","type":"invested_in","evidence":[{"kind":"media","label":"媒体报道","text":"TechCrunch 2026-10-07 报道 Nous 确认 B 轮，写 Robot Ventures 领投，NVIDIA、USV、Menlo、三星和 1789 Capital 参与，累计融资 1.58 亿美元。","url":"https://techcrunch.com/2026/10/07/nous-research-confirms-it-hit-1-5b-valuation-launches-ai-agents-for-business-users/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №55 档案（§ 05 / 钱从哪来）：9000 万美元 B 轮参与方；只有 TechCrunch 提到，公司融资说明没列","url":"https://xiaopingfeng.com/live/neolab/nous-research.html"}],"since":"2026-10-07","note":"9000 万美元 B 轮参与方；只有 TechCrunch 提到，公司融资说明没列","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:a16z>invested_in>org:arena","source":"org:a16z","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方种子轮博文（2025-05-27）：1 亿美元，a16z 与 UC Investments 领投。","url":"https://arena.ai/blog/new-lmarena"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 01 / 它是谁（钱来自三轮））：种子轮 1 亿美元，与 UC Investments 领投。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2025-05-27","note":"种子轮 1 亿美元，与 UC Investments 领投。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:acrew-capital>invested_in>org:arena","source":"org:acrew-capital","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方 B 轮博文（2026-10-08）：2 亿美元、估值 31 亿美元，Lightspeed 与 Khosla Ventures 联合领投，并列出投资人名单。","url":"https://arena.ai/blog/series-b"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 04 / 与厂商、投资人的关系（投资人））：B 轮新增投资人。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2026-10-08","note":"B 轮新增投资人。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:ai-grant>invested_in>org:artificial-analysis","source":"org:ai-grant","target":"org:artificial-analysis","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"AI Grant 第 4 批公司名单收录 Artificial Analysis；每家所得金额未披露","url":"https://aigrant.com/"},{"kind":"media","label":"媒体报道","text":"Latent Space 访谈介绍称 AA 是少数拿到完整种子轮的 AI Grant 公司，Nat Friedman 和 Daniel Gross 是导师兼投资人","url":"https://www.latent.space/p/artificialanalysis"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №46 档案（§ 01 / 它是谁（融资段））：AI Grant 第 4 批公司之一。档案写该项目标准条款是 $250,000 无上限 SAFE，但没写 AA 实际拿到多少；Latent Space 访谈介绍称 AA 是少数拿到完整种子轮的 AI Grant 公司。口径：档案没有直接写「AI Grant 投了 AA」，是由名单加标准条款推出，主 Agent 酌情取舍","url":"https://xiaopingfeng.com/live/neolab/artificial-analysis.html"}],"note":"AI Grant 第 4 批公司之一。档案写该项目标准条款是 $250,000 无上限 SAFE，但没写 AA 实际拿到多少；Latent Space 访谈介绍称 AA 是少数拿到完整种子轮的 AI Grant 公司。口径：档案没有直接写「AI Grant 投了 AA」，是由名单加标准条款推出，主 Agent 酌情取舍","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:ai-grant>invested_in>org:kscale-labs","source":"org:ai-grant","target":"org:kscale-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №28 档案（§ 02 关键事实）：参与天使轮；日期未写","url":"https://xiaopingfeng.com/live/neolab/kscale-labs.html"}],"note":"参与天使轮；日期未写","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:aistof>invested_in>org:equistamp","source":"org:aistof","target":"org:equistamp","type":"invested_in","evidence":[{"kind":"other","label":"其他出处","text":"Manifund 募资页（CEO Canal 发起）：SAFE、估值上限 $8M、资金来自 AISTOF 的 Jueyan Zhang","url":"https://manifund.org/projects/operating-capital-for-ai-safety-evaluation-infrastructure"},{"kind":"other","label":"其他出处","text":"Manifund 2026-08-20 文章以这笔钱为例","url":"https://manifund.substack.com/p/why-self-fund-your-regranting"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №45 档案（§ 01 它是谁 · 钱）：$400K SAFE，估值上限 $8M；经 Manifund 募资，页面显示已募满 $400,000（CEO 自述，Manifund 自家文章也拿它举例）；2025-10-29 为发起募资日","url":"https://xiaopingfeng.com/live/neolab/equistamp.html"}],"since":"2025-10-29","note":"$400K SAFE，估值上限 $8M；经 Manifund 募资，页面显示已募满 $400,000（CEO 自述，Manifund 自家文章也拿它举例）；2025-10-29 为发起募资日","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:amplify-partners>invested_in>org:gradium","source":"org:amplify-partners","target":"org:gradium","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"新闻稿列 Amplify Partners 为种子轮参与方","url":"https://gradium.ai/Gradium%20-%20press%20release%20EN%20final.pdf"},{"kind":"other","label":"其他出处","text":"Amplify 自家博客披露其为 Gradium 投资方","url":"https://www.amplifypartners.com/blog-posts/arming-the-rebels-with-gpus-gradium-kyutai-and-audio-ai"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №60 档案（§ 08 钱与人）：参与 7000 万美元种子轮；Amplify 2026-02 博客自述为 Gradium 投资方（利益相关）","url":"https://xiaopingfeng.com/live/neolab/gradium.html"}],"since":"2025-12-02","note":"参与 7000 万美元种子轮；Amplify 2026-02 博客自述为 Gradium 投资方（利益相关）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:anthropic>invested_in>org:goodfire-ai","source":"org:anthropic","target":"org:goodfire-ai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №26 档案（§ 02 / 关键事实）：Series A 5000 万美元，Anthropic 首次以直投方式下注 mech interp 商业化。","url":"https://xiaopingfeng.com/live/neolab/goodfire-ai.html"}],"since":"2025-04","note":"Series A 5000 万美元，Anthropic 首次以直投方式下注 mech interp 商业化。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:b-capital>invested_in>org:goodfire-ai","source":"org:b-capital","target":"org:goodfire-ai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №26 档案（§ 02 / 关键事实）：Series B 1.5 亿美元领投，估值 12.5 亿美元。","url":"https://xiaopingfeng.com/live/neolab/goodfire-ai.html"}],"since":"2026-02","note":"Series B 1.5 亿美元领投，估值 12.5 亿美元。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:baic-industry-investment>invested_in>org:manifold-ai","source":"org:baic-industry-investment","target":"org:manifold-ai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №18 档案（§ 02 关键事实）：新一轮跟投（国新基金领投）","url":"https://xiaopingfeng.com/live/neolab/manifold-ai.html"}],"since":"2026-06-18","note":"新一轮跟投（国新基金领投）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:baidu>invested_in>org:galaxea-ai","source":"org:baidu","target":"org:galaxea-ai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №19 档案（§ 02 / 关键事实）：种子轮（2023 年底）参投方，档案写作百度风投。","url":"https://xiaopingfeng.com/live/neolab/galaxea-ai.html"}],"since":"2023","note":"种子轮（2023 年底）参投方，档案写作百度风投。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:balderton-capital>invested_in>org:prior-labs","source":"org:balderton-capital","target":"org:prior-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №38 档案（§ 01 / 是什么（末段））：900 万欧元 pre-seed，Balderton 领投（SAP 收购公告稿写明这是 Prior Labs 此前唯一的融资）","url":"https://xiaopingfeng.com/live/neolab/prior-labs.html"}],"since":"2025-02","note":"900 万欧元 pre-seed，Balderton 领投（SAP 收购公告稿写明这是 Prior Labs 此前唯一的融资）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:bcv>invested_in>org:tilde-research","source":"org:bcv","target":"org:tilde-research","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №37 档案（§ 01 / 是什么（第一段））：$8M 种子轮，与 Khosla Ventures、Soma Capital 一起；档案只写缩写 BCV","url":"https://xiaopingfeng.com/live/neolab/tilde-research.html"}],"note":"$8M 种子轮，与 Khosla Ventures、Soma Capital 一起；档案只写缩写 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关键事实）：2023 年种子轮投资方（辰韬资本）；档案全篇没有给来源链接","url":"https://xiaopingfeng.com/live/neolab/gigaai.html"}],"since":"2023","note":"2023 年种子轮投资方（辰韬资本）；档案全篇没有给来源链接","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:china-belgium-fund>invested_in>org:gigaai","source":"org:china-belgium-fund","target":"org:gigaai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №17 档案（§02 关键事实）：2026-06 B2 轮投资方之一（中国-比利时基金）","url":"https://xiaopingfeng.com/live/neolab/gigaai.html"}],"since":"2026-06","note":"2026-06 B2 轮投资方之一（中国-比利时基金）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:citi>invested_in>org:reflection-ai","source":"org:citi","target":"org:reflection-ai","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方博客列出 2025-10 一轮的投资方，含 Citi","url":"https://reflection.ai/blog/building-frontier-open-intelligence"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №43 档案（§01 它是谁（融资三轮））：2025-10 的 $20 亿一轮官方博客列为投资方（档案只写 Citi，出资额未披露）","url":"https://xiaopingfeng.com/live/neolab/reflection-ai.html"}],"since":"2025-10","note":"2025-10 的 $20 亿一轮官方博客列为投资方（档案只写 Citi，出资额未披露）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:coinfund>invested_in>org:pluralis-research","source":"org:coinfund","target":"org:pluralis-research","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №29 档案（§01 是什么）：2025-03 完成 $7.6M 种子轮，Union Square Ventures（USV）与 CoinFund 联合领投；档案的来源清单写该公告的原始链接未收录","url":"https://xiaopingfeng.com/live/neolab/pluralis-research.html"}],"since":"2025-03","note":"2025-03 完成 $7.6M 种子轮，Union Square Ventures（USV）与 CoinFund 联合领投；档案的来源清单写该公告的原始链接未收录","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:coinfund>invested_in>org:prime-intellect","source":"org:coinfund","target":"org:prime-intellect","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №05 档案（§ 01 是什么）：550 万美元种子轮，与 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№31 档案（§ 02 / 关键事实）：5000 万美元融资的参投方，档案写作 Databricks Investment。","url":"https://xiaopingfeng.com/live/neolab/inception-labs.html"}],"since":"2025-11","note":"5000 万美元融资的参投方，档案写作 Databricks Investment。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:dcvc>invested_in>org:humans-and","source":"org:dcvc","target":"org:humans-and","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官网投资人名单列有 DCVC","url":"https://humansand.ai/"},{"kind":"media","label":"媒体报道","text":"Reuters 2026-01-20 报道种子轮 4.8 亿美元、估值 44.8 亿美元（注明为公司表态）","url":"https://finance.yahoo.com/news/ai-startup-humans-raises-480-151839506.html"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №56 档案（§02 钱从哪来）：2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；DCVC 在投资人名单里","url":"https://xiaopingfeng.com/live/neolab/humans-and.html"}],"since":"2026-01-20","note":"2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；DCVC 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Google）：首轮参与方（官宣）；金额官方未写。","url":"https://xiaopingfeng.com/live/neolab/discovery-loop.html"}],"since":"2026-08-05","note":"首轮参与方（官宣）；金额官方未写。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:dongfang-fuhai>invested_in>org:memtensor","source":"org:dongfang-fuhai","target":"org:memtensor","type":"invested_in","evidence":[{"kind":"media","label":"媒体报道","text":"科创板日报 2026-09-04：完成 Pre-A+ 轮，东方富海领投，上国投孚腾资本追加，要弘创投、无锡新尚资本跟投，金额未披露","url":"https://news.qq.com/rain/a/20260904A09JEL00"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №62 档案（§05 钱从哪来（Pre-A+））：Pre-A+ 轮领投，金额未披露；据公司披露款项主要用于记忆原生基座模型 Metis 的研发","url":"https://xiaopingfeng.com/live/neolab/memtensor.html"}],"since":"2026-09-04","note":"Pre-A+ 轮领投，金额未披露；据公司披露款项主要用于记忆原生基座模型 Metis 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等参与","url":"https://techcrunch.com/2025/12/02/paris-based-ai-voice-startup-gradium-nabs-70m-seed"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №60 档案（§ 08 钱与人）：参与 7000 万美元种子轮","url":"https://xiaopingfeng.com/live/neolab/gradium.html"}],"since":"2025-12-02","note":"参与 7000 万美元种子轮","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:dst-global>invested_in>org:ineffable-intelligence","source":"org:dst-global","target":"org:ineffable-intelligence","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №02 档案（§ 02 关键事实）：种子轮跟投","url":"https://xiaopingfeng.com/live/neolab/ineffable-intelligence.html"}],"since":"2026-04-27","note":"种子轮跟投","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:dst-global>invested_in>org:periodic-labs","source":"org:dst-global","target":"org:periodic-labs","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"Periodic 官方亮相稿（2025-09-30）：投资方名单含 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亿一轮官方博客列为投资方（档案只写 DST，出资额未披露）","url":"https://xiaopingfeng.com/live/neolab/reflection-ai.html"}],"since":"2025-10","note":"2025-10 的 $20 亿一轮官方博客列为投资方（档案只写 DST，出资额未披露）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:e14-fund>invested_in>org:guide-labs","source":"org:e14-fund","target":"org:guide-labs","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方博客列出种子轮参与者","url":"https://www.guidelabs.ai/post/introducing-guide-labs-engineering-interpretable-and-auditable-ai-systems/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №59 档案（§ 01 它是谁 · 钱）：参与 930 万美元种子轮","url":"https://xiaopingfeng.com/live/neolab/guide-labs.html"}],"since":"2024-11-17","note":"参与 930 万美元种子轮","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:eden-block>invested_in>org:pluralis-research","source":"org:eden-block","target":"org:pluralis-research","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №29 档案（§01 是什么）：2025-03 $7.6M 种子轮参投（Eden Block）","url":"https://xiaopingfeng.com/live/neolab/pluralis-research.html"}],"since":"2025-03","note":"2025-03 $7.6M 种子轮参投（Eden Block）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:emergence-capital>invested_in>org:adaption-labs","source":"org:emergence-capital","target":"org:adaption-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №21 档案（§ 02 / 50M 种子轮，10 亿估值）：$50M 种子轮领投，投后估值 $1B","url":"https://xiaopingfeng.com/live/neolab/adaption-labs.html"}],"since":"2026-02","note":"$50M 种子轮领投，投后估值 $1B","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:emergence-capital>invested_in>org:radical-numerics","source":"org:emergence-capital","target":"org:radical-numerics","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"公司公告 2026-06-15 宣布 5000 万美元种子轮，并预览 Omnii；公告未写估值。","url":"https://www.radicalnumerics.ai/blog/radical-numerics-seed"},{"kind":"social","label":"官方社交帖","text":"联合创始人 Eric Nguyen 当天的 X 帖写明 Emergence Capital 领投，Obvious Ventures、Triatomic Capital 等参与。","url":"https://x.com/exnx/status/2066496190502555888"},{"kind":"media","label":"媒体报道","text":"Fortune 独家报道这笔种子轮，同样没有写估值。","url":"https://fortune.com/2026/06/15/exclusive-ai-dna-radical-numerics-eric-nguyen-biology-biodefense-drug-discovery/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №57 档案（§ 01 / 它是谁（钱和顾问）；头部「融资」）：5000 万美元种子轮领投；公司公告和 Fortune 都没写估值","url":"https://xiaopingfeng.com/live/neolab/radical-numerics.html"}],"since":"2026-06-15","note":"5000 万美元种子轮领投；公司公告和 Fortune 都没写估值","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:emerson-collective>invested_in>org:humans-and","source":"org:emerson-collective","target":"org:humans-and","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官网投资人名单列有 Emerson Collective","url":"https://humansand.ai/"},{"kind":"media","label":"媒体报道","text":"Reuters 2026-01-20 报道种子轮 4.8 亿美元、估值 44.8 亿美元（注明为公司表态）","url":"https://finance.yahoo.com/news/ai-startup-humans-raises-480-151839506.html"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №56 档案（§02 钱从哪来）：2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；Emerson Collective 在投资人名单里","url":"https://xiaopingfeng.com/live/neolab/humans-and.html"}],"since":"2026-01-20","note":"2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；Emerson Collective 在投资人名单里","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:endeavor-catalyst>invested_in>org:arena","source":"org:endeavor-catalyst","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方 B 轮博文（2026-10-08）：2 亿美元、估值 31 亿美元，Lightspeed 与 Khosla Ventures 联合领投，并列出投资人名单。","url":"https://arena.ai/blog/series-b"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 04 / 与厂商、投资人的关系（投资人））：B 轮新增投资人。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2026-10-08","note":"B 轮新增投资人。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:eqt-ventures>invested_in>org:ineffable-intelligence","source":"org:eqt-ventures","target":"org:ineffable-intelligence","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №02 档案（§ 02 关键事实）：种子轮跟投","url":"https://xiaopingfeng.com/live/neolab/ineffable-intelligence.html"}],"since":"2026-04-27","note":"种子轮跟投","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:eurazeo>invested_in>org:gradium","source":"org:eurazeo","target":"org:gradium","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"公司 2025-12-02 新闻稿，列出种子轮领投方与参与方","url":"https://gradium.ai/Gradium%20-%20press%20release%20EN%20final.pdf"},{"kind":"media","label":"媒体报道","text":"TechCrunch 同日报道 FirstMark 与 Eurazeo 领投","url":"https://techcrunch.com/2025/12/02/paris-based-ai-voice-startup-gradium-nabs-70m-seed"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №60 档案（§ 08 钱与人 / § 03 公开履历）：种子轮 7000 万美元，与 FirstMark Capital 联合领投","url":"https://xiaopingfeng.com/live/neolab/gradium.html"}],"since":"2025-12-02","note":"种子轮 7000 万美元，与 FirstMark Capital 联合领投","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:exante>invested_in>org:inherent","source":"org:exante","target":"org:inherent","type":"invested_in","evidence":[{"kind":"social","label":"官方社交帖","text":"官方 X 亮相帖（2026-05-28）：宣布 5000 万美元种子轮关闭，Index Ventures 与 Radical Ventures 领投，点名 NVentures、Exante、Metaplanet、Macroscopic、Mythos Ventures 等参与。","url":"https://x.com/inherent_labs/status/2060119235372752924"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №68 档案（§ 05 / 钱和人（种子轮））：种子轮参与方（官方帖点名）。","url":"https://xiaopingfeng.com/live/neolab/inherent.html"}],"since":"2026-05-28","note":"种子轮参与方（官方帖点名）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:felicis>invested_in>org:arena","source":"org:felicis","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方 A 轮博文（2026-01-06）：1.5 亿美元，Felicis 与 UC Investments 领投。","url":"https://arena.ai/blog/series-a"},{"kind":"media","label":"媒体报道","text":"TechCrunch 报道 A 轮及估值。","url":"https://techcrunch.com/2026/01/06/lmarena-lands-1-7b-valuation-four-months-after-launching-its-product/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 01 / 它是谁（钱来自三轮））：A 轮 1.5 亿美元，与 UC Investments 领投；TechCrunch 报道 A 轮估值 17 亿美元。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2026-01-06","note":"A 轮 1.5 亿美元，与 UC Investments 领投；TechCrunch 报道 A 轮估值 17 亿美元。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:felicis>invested_in>org:browser-use","source":"org:felicis","target":"org:browser-use","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №27 档案（§ 01 / 是什么）：1700 万美元种子轮领投方。","url":"https://xiaopingfeng.com/live/neolab/browser-use.html"}],"since":"2025-03","note":"1700 万美元种子轮领投方。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:felicis>invested_in>org:humans-and","source":"org:felicis","target":"org:humans-and","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官网投资人名单列有 Felicis","url":"https://humansand.ai/"},{"kind":"media","label":"媒体报道","text":"Reuters 2026-01-20 报道种子轮 4.8 亿美元、估值 44.8 亿美元（注明为公司表态）","url":"https://finance.yahoo.com/news/ai-startup-humans-raises-480-151839506.html"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №56 档案（§02 钱从哪来）：2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；Felicis 在投资人名单里","url":"https://xiaopingfeng.com/live/neolab/humans-and.html"}],"since":"2026-01-20","note":"2026-01-20 官宣的种子轮：Reuters 称 4.8 亿美元、估值 44.8 亿美元（公司表态，官网没写金额）；官网只列投资人名单，各家出资额未披露；Felicis 在投资人名单里","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:felicis>invested_in>org:letta","source":"org:felicis","target":"org:letta","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №13 档案（§ 01 是什么）：1000 万美元种子轮领投（Jeff Dean 个人天使参投）","url":"https://xiaopingfeng.com/live/neolab/letta.html"}],"since":"2024","note":"1000 万美元种子轮领投（Jeff Dean 个人天使参投）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:felicis>invested_in>org:periodic-labs","source":"org:felicis","target":"org:periodic-labs","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"Periodic 官方亮相稿（2025-09-30）：投资方名单含 a16z、Felicis、DST、NVentures、Accel 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档案（§ 05 / 钱从哪来）：9000 万美元 B 轮投资人之一；公司说明写作「微软旗下 M12」","url":"https://xiaopingfeng.com/live/neolab/nous-research.html"}],"since":"2026-10-07","note":"9000 万美元 B 轮投资人之一；公司说明写作「微软旗下 M12」","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:macroscopic>invested_in>org:inherent","source":"org:macroscopic","target":"org:inherent","type":"invested_in","evidence":[{"kind":"social","label":"官方社交帖","text":"官方 X 亮相帖（2026-05-28）：宣布 5000 万美元种子轮关闭，Index Ventures 与 Radical Ventures 领投，点名 NVentures、Exante、Metaplanet、Macroscopic、Mythos Ventures 等参与。","url":"https://x.com/inherent_labs/status/2060119235372752924"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №68 档案（§ 05 / 钱和人（种子轮））：种子轮参与方（官方帖点名）。","url":"https://xiaopingfeng.com/live/neolab/inherent.html"}],"since":"2026-05-28","note":"种子轮参与方（官方帖点名）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:mayfield>invested_in>org:inception-labs","source":"org:mayfield","target":"org:inception-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №31 档案（§ 02 / 关键事实）：5000 万美元融资的参投方。","url":"https://xiaopingfeng.com/live/neolab/inception-labs.html"}],"since":"2025-11","note":"5000 万美元融资的参投方。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:meihua-venture>invested_in>org:manifold-ai","source":"org:meihua-venture","target":"org:manifold-ai","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №18 档案（§ 02 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钱和人（种子轮））：种子轮参与方（官方帖点名）。","url":"https://xiaopingfeng.com/live/neolab/inherent.html"}],"since":"2026-05-28","note":"种子轮参与方（官方帖点名）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:microsoft>invested_in>org:inception-labs","source":"org:microsoft","target":"org:inception-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №31 档案（§ 02 / 关键事实）：5000 万美元融资的参投方，档案写作 M12（Microsoft VC）。","url":"https://xiaopingfeng.com/live/neolab/inception-labs.html"}],"since":"2025-11","note":"5000 万美元融资的参投方，档案写作 M12（Microsoft VC）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:mozilla-ventures>invested_in>org:adaption-labs","source":"org:mozilla-ventures","target":"org:adaption-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №21 档案（§ 02 / 50M 种子轮，10 亿估值）：$50M 种子轮跟投","url":"https://xiaopingfeng.com/live/neolab/adaption-labs.html"}],"since":"2026-02","note":"$50M 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参与方","url":"https://xiaopingfeng.com/live/neolab/hacktron.html"}],"since":"2026-05-13","note":"290 万美元 pre-seed 参与方","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:radical-ventures>invested_in>org:prime-intellect","source":"org:radical-ventures","target":"org:prime-intellect","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №05 档案（§ 02 关键事实 融资节奏）：1.3 亿美元新一轮，估值 10 亿美元，Radical Ventures 领投；总融资升至超过 1.5 亿美元","url":"https://xiaopingfeng.com/live/neolab/prime-intellect.html"}],"since":"2026-07-08","note":"1.3 亿美元新一轮，估值 10 亿美元，Radical Ventures 领投；总融资升至超过 1.5 亿美元","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:robot-ventures>invested_in>org:nous","source":"org:robot-ventures","target":"org:nous","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"公司 2026-10 的融资说明列出 B 轮投资人：NVIDIA、微软旗下 M12、三星、Robot Ventures、Union Square Ventures、Y Combinator、Menlo Ventures 等；说明没写估值和领投方。","url":"https://nousresearch.com/a-note-on-our-fundraise"},{"kind":"media","label":"媒体报道","text":"TechCrunch 2026-10-07 报道 Nous 确认 B 轮，写 Robot Ventures 领投，NVIDIA、USV、Menlo、三星和 1789 Capital 参与，累计融资 1.58 亿美元。","url":"https://techcrunch.com/2026/10/07/nous-research-confirms-it-hit-1-5b-valuation-launches-ai-agents-for-business-users/"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №55 档案（§ 05 / 钱从哪来）：9000 万美元 B 轮领投；领投方出自 TechCrunch，公司融资说明列了 Robot Ventures 为投资人但没写领投","url":"https://xiaopingfeng.com/live/neolab/nous-research.html"}],"since":"2026-10-07","note":"9000 万美元 B 轮领投；领投方出自 TechCrunch，公司融资说明列了 Robot Ventures 为投资人但没写领投","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:salesforce>invested_in>org:arena","source":"org:salesforce","target":"org:arena","type":"invested_in","evidence":[{"kind":"official","label":"官方页面","text":"官方 B 轮博文（2026-10-08）：2 亿美元、估值 31 亿美元，Lightspeed 与 Khosla Ventures 联合领投，并列出投资人名单。","url":"https://arena.ai/blog/series-b"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №51 档案（§ 04 / 与厂商、投资人的关系（投资人））：B 轮新增投资人（官方博文写作 Salesforce Ventures）。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"since":"2026-10-08","note":"B 轮新增投资人（官方博文写作 Salesforce Ventures）。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:samsung>invested_in>org:ami-labs","source":"org:samsung","target":"org:ami-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №04 档案（§02 关键事实）：2026-03-09 官宣 10.3 亿美元种子轮，投前估值 35 亿美元（投后约 45.3 亿美元）；跟投方（三星）","url":"https://xiaopingfeng.com/live/neolab/ami-labs.html"}],"since":"2026-03-09","note":"2026-03-09 官宣 10.3 亿美元种子轮，投前估值 35 亿美元（投后约 45.3 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为投资方（各家出资额未披露）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:serena>invested_in>org:nabla","source":"org:serena","target":"org:nabla","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №14 档案（§02 关键事实）：2024 年 $70M C 轮跟投（Serena）","url":"https://xiaopingfeng.com/live/neolab/nabla.html"}],"since":"2024","note":"2024 年 $70M C 轮跟投（Serena）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:shangtang-guoxiang-capital>invested_in>org:memtensor","source":"org:shangtang-guoxiang-capital","target":"org:memtensor","type":"invested_in","evidence":[{"kind":"media","label":"媒体报道","text":"投资界 2026-07 的报道（档案 §01 引用；档案另写 Pre-A 由投资界 2026-07-20 首发）","url":"https://news.pedaily.cn/202607/566553.shtml"},{"kind":"own","label":"本站页面","text":"本站 NEO LAB №62 档案（§05 钱从哪来（Pre-A 段；证据链接取自 §01 的投资界 2026-07 报道，是否同篇待复核））：Pre-A 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档案（§02 关键事实）：2026-06 B2 轮投资方之一（狮城资本）","url":"https://xiaopingfeng.com/live/neolab/gigaai.html"}],"since":"2026-06","note":"2026-06 B2 轮投资方之一（狮城资本）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:snowflake>invested_in>org:inception-labs","source":"org:snowflake","target":"org:inception-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №31 档案（§ 02 / 关键事实）：5000 万美元融资的参投方，档案写作 Snowflake Ventures。","url":"https://xiaopingfeng.com/live/neolab/inception-labs.html"}],"since":"2025-11","note":"5000 万美元融资的参投方，档案写作 Snowflake Ventures。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:soma-capital>invested_in>org:tilde-research","source":"org:soma-capital","target":"org:tilde-research","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №37 档案（§ 01 / 是什么（第一段））：$8M 种子轮，与 Khosla Ventures、BCV 一起","url":"https://xiaopingfeng.com/live/neolab/tilde-research.html"}],"note":"$8M 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与厂商、投资人的关系（投资人））：官方博文列出的投资人；档案未写参与哪一轮。","url":"https://xiaopingfeng.com/live/neolab/lmarena.html"}],"note":"官方博文列出的投资人；档案未写参与哪一轮。","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:topology>invested_in>org:pluralis-research","source":"org:topology","target":"org:pluralis-research","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №29 档案（§01 是什么）：2025-03 $7.6M 种子轮参投（Topology）","url":"https://xiaopingfeng.com/live/neolab/pluralis-research.html"}],"since":"2025-03","note":"2025-03 $7.6M 种子轮参投（Topology）","status":"agent","by":"neolab-graph","at":"2026-10-30T17:58:21Z"},{"id":"org:toyota-ventures>invested_in>org:ami-labs","source":"org:toyota-ventures","target":"org:ami-labs","type":"invested_in","evidence":[{"kind":"own","label":"本站页面","text":"本站 NEO LAB №04 档案（§02 关键事实）：2026-03-09 官宣 10.3 亿美元种子轮，投前估值 35 亿美元（投后约 45.3 亿美元）；跟投方（丰田风投）","url":"https://xiaopingfeng.com/live/neolab/ami-labs.html"}],"since":"2026-03-09","note":"2026-03-09 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