内容来源：https://aiweekly.co/issues/musk-zuckerberg-killed-trumps-ai-safety-order-in-three

内容总结：

周末重磅：科技巨头三通电话终结特朗普AI安全行政令，AI治理格局一夜生变

上周末，一场由科技巨头主导的“闪电行动”彻底改写了美国联邦AI治理版图。马斯克、扎克伯格与硅谷投资人萨克斯通过周三晚间的三通电话，扼杀了特朗普政府拟定的AI安全行政令草案，该草案本要求前沿模型在发布前接受90天自愿审查。草案未及进入公众意见征集阶段即告夭折，支持者将其定性为“末日论者监管”，而国家安全委员会及副总统办公室内的加速主义者联盟共同促成了这一结果。

同一周末，AI领域爆发多起重大事件：

• Anthropic完成超300亿美元融资，逼近首次盈利。旗下Claude Code产品年化收入已达10亿美元，成为开发者工具变现的标志性案例。
• 微软悄然取消内部Claude Code试点，原因是基于Token的计费模式在数月内耗尽了全年AI预算。受影响开发者被转向微软自有产品GitHub Copilot CLI。这一事件被《财富》杂志称为“使用AI比雇佣人类员工更贵”的转折点。
• 供应链攻击“TrapDoor”同时攻陷npm、PyPI和Crates.io三大注册中心，借助.cursorrules和CLAUDE.md配置文件传播，34个恶意包对标准代码审查和多数扫描工具隐形。攻击甚至向LangChain、LlamaIndex等热门AI框架提交了恶意PR，实际影响远超直接安装范围。
• CISA通报Drupal SQL注入漏洞遭大规模利用，48小时内记录到1.5万次攻击，波及65个国家6000个站点。联邦机构被要求在5月27日前完成补丁部署。
• 白宫直接干预五角大楼决策，不仅批准90亿美元为NSA采购Blackwell芯片，更亲自否决了国防部将Anthropic列为供应链风险的认定，确保Claude继续在NSA秘密网络中使用。新合同删除了“任何合法用途”条款，新增“禁止用于美国公民数据”的豁免条款。

关键信号：联邦AI治理权力向白宫集中

这三件事共同指向一个趋势：联邦AI治理已从分散的机构决策模式，转向由白宫核心圈层直接拍板。过去由各机构制定规则、国防部审核供应商、国会辩论框架的体系，如今简化为一小撮有西翼直接通道的人决定哪些模型需要审查、哪些供应商可以供货、哪些技术能进入机密环境。

对企业的启示：

1. 安全扫描需立即升级：AI配置文件已成为攻击向量，应将.cursorrules、CLAUDE.md纳入代码审查和SCA流程。
2. 合规路线图需调整：联邦AI行政令已死，应转向州总检察长诉讼、欧盟AI法案等实际生效的监管框架。
3. 供应商评估标准改变：Anthropic成为唯一同时拥有白宫背书、超300亿融资和“禁止美国公民数据”合同模板的前沿实验室。
4. AI工具成本需建模：微软试点的教训表明，按席位付费的定价模式掩盖了实际Token消耗。企业应在合同中加入使用上限、按开发者预算或自动降级至廉价模型等条款。
5. 招聘方式需变革：康奈尔大学研究显示，9%美国大学生存在AI作弊行为，日活用户作弊率是月活用户的近4倍。面试设计而非成绩单将成为新的筛选机制。

底层趋势：同一个周末，两种现实

Anthropic以9000亿美元估值完成300亿融资，讲述企业级Claude采纳加速的故事；而微软——全球最大的潜在企业客户之一——却因Token账单耗尽年度预算而叫停Claude Code试点。估值反映的是市场情绪，而微软信号才是多数买家直面基于使用量的计费现实后的真实写照。两者都是真的，但两者无法调和。

中文翻译：

周末期间：马斯克、扎克伯格和萨克斯通过三个周三晚上的电话会议，扼杀了特朗普的人工智能安全行政令草案。Anthropic 在同一周六完成了超过 3000 亿美元的融资轮——而微软则在代币计费消耗了全年人工智能预算后，悄无声息地取消了内部 Claude Code 试点项目，将开发者转向 Copilot。CISA 记录了同一周内针对 Drupal SQL 漏洞的 15000 次攻击。首次跨注册表供应链攻击——TrapDoor——同时袭击了 npm、PyPI 和 Crates.io，利用 .cursorrules 和 CLAUDE.md 配置文件作为载体。白宫亲自否决了五角大楼的意见，将 Claude 保留在 NSA 内部。

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快速要点

• TrapDoor 供应链攻击同时袭击了 npm、PyPI 和 Crates.io。首次跨注册表攻击——人工智能配置文件被用作载体。来源：The Hacker News
• 所有三个注册表中共有 34 个软件包被攻破——标准代码审查和大多数扫描器都无法察觉。
• .cursorrules 和 CLAUDE.md 中的隐藏 Unicode 字符，会引导 Cursor 和 Claude Code 在开发者看到正常输出的同时，运行凭据收集命令。
• 针对 LangChain、LlamaIndex、MetaGPT 的拉取请求也已埋下伏笔——影响范围远超直接软件包安装。
• 马斯克、扎克伯格和萨克斯通过三个电话会议扼杀了特朗普的人工智能安全行政令。该命令从未进入公众征求意见阶段。来源：Semafor
• 周三晚上至周四早上的三个电话会议，埋葬了一份要求对前沿模型进行 90 天自愿预发布审查的草案。
• 三人均将其定性为“末日论者式监管”；国家经济委员会和副总统办公室中的加速主义者盟友，帮助在公众征求意见之前扼杀了它。
• 安全研究人员或民间社会团体中没有实力相当的联盟，能拥有类似的白宫西翼通道。
• Anthropic 在接近首次实现营业利润之际，完成了超过 3000 亿美元的融资轮。仅 Claude Code 一项就已达 10 亿美元的年化经常性收入。来源：Bloomberg
• 109 亿美元年化收入，有望在 2026 年第二季度实现首次营业利润。
• 本轮融资与本月也报道过的 300 亿美元收入运行率是分开的——这是两个不同的 300 亿数字。
• Claude Code 达到 10 亿美元年化经常性收入，是最明确的信号，表明开发者工具现在是一个真正的收入中心，而非一项功能。
• 微软在代币计费消耗了全年人工智能预算后，取消了内部 Claude Code 试点项目。Fortune 将其描述为“使用人工智能比雇佣人类员工更贵”的时刻——与 Anthropic 的 3000 亿美元叙事方向相反，且发生在同一 72 小时内。来源：Fortune
• 试点项目于 2025 年 12 月在微软的体验与设备部门启动——在按用量计费模式下，数月内消耗了全年人工智能预算。
• 取消将于 6 月 30 日生效；受影响的开发者被引导至 GitHub Copilot CLI，该产品完全由微软所有。
• 固定席位许可证此前掩盖了真实的代币支出；这种结构性风险现在冲击着每一个未在其合同中设定每位开发者代币上限的企业采购团队。
• CISA 标记 Drupal SQL 注入漏洞，该漏洞在补丁发布后 48 小时内已被积极利用。针对 65 个国家/地区的 6000 个站点，发生了 15000 次尝试攻击。来源：The Hacker News
• CVE-2026-9082——Drupal 数据库抽象层中的未认证 SQL 注入漏洞。
• 影响所有使用 PostgreSQL 后端的部署，无论版本如何；使用 MySQL 的站点不受影响。
• 根据 CISA 的 BOD 22-01，联邦机构面临 5 月 27 日的硬性补丁截止日期。
• 白宫为 NSA 的 Blackwell 芯片拨款 90 亿美元，并亲自否决五角大楼的反对意见，将 Anthropic 保留在机密网络中。采购权刚刚从国防部转移到白宫西翼。来源：The Next Web
• 白宫办公厅主任苏茜·威尔斯签署了 90 亿美元的芯片请求，并批准 NSA 继续使用 Claude。
• 五角大楼此前曾将 Anthropic 列为供应链风险——此次否决开创了先例。
• 修订后的合同删除了“任何合法使用”的措辞，并添加了明确的“不使用美国人数据”条款——成为联邦人工智能合同的新模板。
• 康奈尔大学在《科学》杂志上发表的研究：9% 的美国大学生已陷入完全的人工智能作弊行为。每日使用人工智能的用户作弊率几乎是每月使用者的 4 倍。来源：Science
• 对 20 所公立研究型大学的 95000 名学生进行了调查，使用了列表随机化方法（这使得 9% 是一个下限，而非上限）。
• 三分之一的学生经常在作业中使用生成式人工智能——当前的评估方法无法大规模区分人工智能辅助工作和独立完成的工作。
• 首席作者 Rene Kizilcec 称评估改革“必要且紧迫”。
• Claude Code 自主发现了一种推理算法，将推理计算量减少了 70%。耗时 160 分钟，计算成本 40 美元，无人工干预。来源：arXiv 论文
• 马里兰大学、谷歌和 Meta 的研究人员构建了一个结构化搜索环境，让 Claude Code 无人值守运行。
• 成果是 AutoTTS，一种研究人员描述为“几乎不可能手动设计”的控制算法。
• 他们的观点：现在智识工作在于搜索环境本身，而非算法。

这意味着什么：联邦人工智能治理权于本周末转移到了白宫西翼。

72 小时内发生的三件事，都指向同一方向。马斯克、扎克伯格和萨克斯在从未公开之前就扼杀了一项白宫人工智能安全行政令——没有国会意见，没有机构审查，也没有实力相当的反对联盟。白宫办公厅主任亲自否决了五角大楼的供应链风险认定，以保持 Anthropic 向 NSA 提供 Claude。同一办公室还批准了一项 90 亿美元的 Blackwell 采购，明确以弥合机密计算能力差距为由——并在合同本身（而非政策备忘录中）写入了“不使用美国人数据”的例外条款。

上周，联邦人工智能治理看起来仍像一个分布式系统：各机构制定规则，国防部审查供应商，国会辩论框架。截至周日晚上，运营图景变得更加简单：少数拥有直接白宫西翼通道的人，决定什么需要审查、什么需要采购、以及什么可以供应给机密环境。各机构仍在，但它们不再是关键节点。

对于任何构建合规路线图、审核人工智能供应商或试图预测下一道监管界线将在何处划定的人来说：你们一直在使用的机构地图现在已经过时。决策正在另一个房间里做出。

其推论体现在买方一侧。Anthropic 正在以 9000 亿美元的估值完成 3000 亿美元融资，故事主线是企业采用 Claude 的速度正在加快——而在同一个周末，微软（最大的可能企业客户之一）悄无声息地取消了内部 Claude Code 试点项目，因为代币账单在数月内就消耗了全年人工智能预算。估值反映了势头。而微软的信号，则是大多数买家在固定席位许可证会计方式被基于使用量的现实取代后，将会呈现的样子。两者都是真实的，而且它们无法调和。

关键要点

• 如果您正在审计您的团队使用的人工智能工具，您的扫描范围刚刚扩大了。TrapDoor 证明，.cursorrules、CLAUDE.md 以及等效的人工智能智能体配置文件，现在是一个攻击向量。请在本周（而非下个季度）将它们添加到您的代码审查和软件组合分析管线中。
• 如果您的合规路线图假设了联邦人工智能行政令，请停止围绕它进行规划。该行政令草案已死。没有宣布任何替代方案。请根据判例法、各州总检察长和欧盟人工智能法案的时间表来构建——这些才是活的轨迹。
• 如果您是人工智能买家，联邦采购刚刚整合。Anthropic 现在是唯一一家拥有白宫批准的机密部署、超过 3000 亿美元的新融资轮以及整个行业都将以其为衡量标准的“不使用美国人数据”模板的前沿实验室。请重新评估您的候选名单。
• 如果您正在大规模推广人工智能编码工具，请在签署合同前对模型代币支出建模。微软的试点项目死于基于使用量的计费，而非工具质量。固定席位许可证目前正在掩盖大多数企业内部相同的风险敞口。请在您的合同中加入使用上限、每位开发者预算或自动回退到更便宜模型的条款。
• 如果您从美国大学招聘，请假设三分之一的近期毕业生在其获得学分的课程作业中使用了人工智能辅助。康奈尔大学的数字是一个下限。面试设计（而非成绩单）现在才是筛选机制。

→ 想更快获取这些信息——而不是两天后？

上述故事中有四条在周末以人工智能警报的形式发出。

警报订阅者在周六早上收到了马斯克/扎克伯格电话会议的独家新闻，周六晚上收到了 Anthropic 的 3000 亿美元融资轮，周日晚上收到了 TrapDoor 供应链攻击——每一条都是在曝光后的几小时内，而不是在几天后的这篇周一总结中。通常每天 0-2 封邮件。零噪音。免费。

订阅人工智能警报（免费）→
或者回复此邮件，我会将您添加进来。——亚历克西斯

值得阅读

• Politico：Anthropic 和 OpenAI 的神话如何扩大了华盛顿的人工智能监管缺口。——是扼杀行政令故事的绝佳伴侣。详细阐述了本已被搁置的行政令本应解决的具体监管缺口，以及目前还有哪些力量在坚守防线。
• Bloomberg：五角大楼测试竞争性人工智能模型，以取代 Anthropic。——发表于周三，即白宫否决五角大楼意见的三天前。现在读来意义不同：当白宫西翼关上替换大门时，国防部已经在寻找替代方案了。
• CNBC：IPO 热潮——SpaceX、OpenAI、Anthropic 有使市场过载的风险。——分析人士认为，三大最大的人工智能/太空私营公司同时启动上市前准备，是一个顶部信号。如果他们是对的，那么 Anthropic 周末的 3000 亿美元融资轮就是周期后期的举动。
• BBC：韩国起诉 YouTube 博主，因人工智能伪造音频终结了金秀贤的职业生涯。——刑事案件，而非监管案件。警方确认音频和消息截图都是伪造的。这是首例有据可查的、由人工智能驱动的声誉破坏行为达到逮捕令阶段的刑事判例。
• Fortune：刚刚发生在 Anthropic 和五角大楼之间的事情应该让你感到恐惧。——来自否决事件前一周的长篇分析。认为 Anthropic 与五角大楼之间的争斗，是联邦人工智能采购将成为受监管的竞争还是单一供应商锁定状态的代理指标。经过这个周末，读来分量更重。

本周投票
三个电话会议在人工智能安全行政令公开之前就扼杀了它。这对未来 12 个月的人工智能治理意味着什么？

上周，167 位读者参与了投票：
两家价值万亿美元的人工智能公司即将在数周内相继测试公开市场。会发生什么？

三个电话会议在人工智能安全行政令公开之前就扼杀了它。这对未来 12 个月的人工智能治理意味着什么？

感谢阅读 AI Weekly。请将此邮件转发给一位其人工智能合规路线图刚刚被重写的人。

英文来源：

Over the weekend: Musk, Zuckerberg, and Sacks killed Trump's draft AI safety executive order in three Wednesday-night phone calls. Anthropic closed a $30B+ round the same Saturday — while Microsoft quietly cancelled its internal Claude Code pilot after token billing ate the entire annual AI budget, redirecting developers to Copilot. CISA logged 15,000 attacks on a same-week Drupal SQL flaw. The first cross-registry supply chain attack — TrapDoor — hit npm, PyPI, and Crates.io at once, using .cursorrules
and CLAUDE.md
config files as the carrier. And the White House personally overrode the Pentagon to keep Claude inside the NSA.
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Quick Hits

• TrapDoor supply chain attack hits npm, PyPI, and Crates.io at once. First cross-registry campaign — AI config files used as the carrier. The Hacker News
• 34 packages compromised across all three registries — invisible to standard code review and most scanners
• Hidden Unicode in
  .cursorrules
  andCLAUDE.md
  redirects Cursor and Claude Code to run credential-harvesting commands while developers see normal output - Pull requests also seeded against LangChain, LlamaIndex, MetaGPT — the blast radius extends beyond direct package installs
• Musk, Zuckerberg, and Sacks killed Trump's AI safety order in three phone calls. Order never reached public comment. Semafor
• Three calls Wednesday night through Thursday morning buried a draft requiring 90-day voluntary pre-release review of frontier models
• All three framed it as "doomer regulation"; accelerationist allies in the NEC and VP's office helped kill it before public comment
• No equivalent coalition of safety researchers or civil society groups had comparable West Wing access
• Anthropic closing a $30B+ round as it approaches first operating profit. Claude Code alone now at $1B ARR. Bloomberg
• $10.9B annualized revenue, on track for first operating profit in Q2 2026
• Round is separate from the $30B revenue run rate also reported this month — two different $30B numbers
• Claude Code at $1B ARR is the clearest sign developer tooling is now a real revenue center, not a feature
• Microsoft cancels its internal Claude Code pilot after token billing burned the entire annual AI budget. Fortune frames it as the moment "using AI got more expensive than paying human employees" — the opposite signal from Anthropic's $30B narrative, in the same 72 hours. Fortune
• Pilot launched December 2025 in Microsoft's Experiences & Devices division — full annual AI budget consumed in months under usage-based pricing
• Cancellation takes effect June 30; affected developers being steered to GitHub Copilot CLI, which Microsoft owns outright
• Flat seat licenses had masked the true token spend; the structural exposure now hits every enterprise procurement team that hasn't modeled per-developer token caps into its contracts
• CISA flags Drupal SQL injection as actively exploited within 48 hours of patch. 15,000 attempts against 6,000 sites across 65 countries. The Hacker News
• CVE-2026-9082 — unauthenticated SQLi in Drupal's database abstraction layer
• Affects every PostgreSQL-backed deployment regardless of version; MySQL-backed sites are clean
• Federal agencies have a hard patch deadline of May 27 under CISA's BOD 22-01
• White House clears $9B for NSA Blackwell chips and personally overrides Pentagon objection to keep Anthropic in classified networks. Procurement authority just migrated from Defense to the West Wing. The Next Web
• Chief of Staff Susie Wiles signed off on both the $9B chip request and continued NSA use of Claude
• Pentagon had previously designated Anthropic a supply chain risk — the override sets a precedent
• Revised contract drops "any lawful use" language and adds an explicit "no Americans' data" carve-out — new template for federal AI contracts
• Cornell study in Science: 9% of US university students cross into outright AI cheating. Daily AI users cheat at nearly 4× the monthly rate. Science
• 95,000 students across 20 public research universities, surveyed using list randomization (which makes 9% a floor, not a ceiling)
• One third use generative AI regularly on assignments — current assessments can't distinguish AI-assisted from independent work at scale
• Lead author Rene Kizilcec calls assessment reform "necessary and urgent"
• Claude Code autonomously discovers a reasoning algorithm cutting inference compute 70%. 160 minutes, $40 of compute, no human in the loop. arXiv paper
• University of Maryland, Google, and Meta researchers set up a structured search environment and let Claude Code run unattended
• Result is AutoTTS, a control algorithm researchers describe as "nearly impossible to design by hand"
• Their framing: the search environment is the intellectual work now, not the algorithm
  What it means: federal AI governance moved into the West Wing this weekend
  Three things happened in 72 hours that all point in the same direction. Musk, Zuckerberg, and Sacks killed a White House AI safety order before it was ever public — without congressional input, without agency review, with no equivalent counter-coalition. The White House Chief of Staff personally overrode a Pentagon supply chain risk designation to keep Anthropic supplying Claude to the NSA. And the same office signed off on a $9B Blackwell procurement explicitly framed as closing a classified compute gap — with a "no Americans' data" carve-out written into the contract itself, not a policy memo.
  Last week, federal AI governance still looked like a distributed system: agencies wrote rules, Defense vetted suppliers, Congress debated frameworks. As of Sunday night, the operational picture is simpler: a small number of people with direct West Wing access decide what gets reviewed, what gets procured, and what gets supplied to classified environments. The agencies are still there. They're just no longer the chokepoint.
  For anyone building compliance roadmaps, vetting AI vendors, or trying to predict where the next regulatory line gets drawn: the institutional map you've been using is now stale. The decisions are happening in a different room.
  The corollary is on the buyer side. Anthropic is closing $30B at a $900B valuation on a story of accelerating enterprise Claude adoption — and on the same weekend, Microsoft (one of the largest possible enterprise customers) quietly cancelled its internal Claude Code pilot because the token bills consumed an entire annual AI budget in months. The valuation reflects momentum. The Microsoft signal is what most buyers will look like once flat seat-license accounting gets replaced by usage-based reality. Both are real, and they don't reconcile.
  Key Takeaways
• If you're auditing AI tools your team uses, your scan surface just expanded. TrapDoor proves that
  .cursorrules
  ,CLAUDE.md
  , and equivalent AI agent config files are now an attack vector. Add them to your code-review and SCA pipelines this week, not next quarter. - If your compliance roadmap assumed a federal AI executive order, stop planning around it. The draft order is dead. There is no announced replacement. Build against case law, state attorneys general, and EU AI Act timelines — those are the live tracks.
• If you're an AI buyer, federal procurement just consolidated. Anthropic is now the only frontier lab with a White House-cleared classified deployment, a $30B+ fresh round, and a "no Americans' data" template the rest of the industry will be measured against. Re-run your shortlist.
• If you're rolling out AI coding tools at scale, model token spend before you sign. Microsoft's pilot died on usage-based billing, not on tool quality. Flat seat licenses are masking the same exposure inside most enterprises right now. Get usage caps, per-developer budgets, or auto-fallback to a cheaper model in your contracts.
• If you hire from US universities, assume one-third of recent graduates have AI-assisted their credentialed coursework. The Cornell number is a floor. Interview design, not transcripts, is now the sorting mechanism.
  → Want this faster — not two days later?
  Four of the stories above went out as AI Alerts over the weekend.
  Alert subscribers got the Musk/Zuckerberg phone-call scoop Saturday morning, the Anthropic $30B round Saturday night, and the TrapDoor supply-chain attack Sunday night — within hours of each one breaking, not days later in this Monday recap. Typically 0–2 emails per day. Zero noise. Free.
  Subscribe to AI Alerts (free) →Or reply to this email and I'll add you. — Alexis
  Worth Reading
• Politico: how Anthropic and OpenAI's Mythos widens the Washington AI oversight gap — Useful companion to the EO-killing story. Walks through the specific oversight gaps that the now-shelved order would have addressed, and what's left holding the line.
• Bloomberg: Pentagon tests rival AI models in race to replace Anthropic — Published Wednesday, three days before the White House overrode the Pentagon's objection. Reads differently now: Defense was already shopping for a replacement when the West Wing closed the door on the swap.
• CNBC: IPO rush — SpaceX, OpenAI, Anthropic risk overloading the market — Analysts arguing the simultaneous pre-IPO setup across the three biggest private AI/space names is a top signal. If they're right, Anthropic's weekend $30B round is the late-cycle move.
• BBC: South Korea charges YouTuber after AI-fabricated audio ends Kim Soo-hyun's career — Criminal case, not a regulatory one. Police confirmed both audio and message screenshots were synthetic. This is the first documented criminal precedent for AI-enabled reputational destruction reaching arrest-warrant stage.
• Fortune: what just happened with Anthropic and the Pentagon should terrify you — Longer-form analysis from a week before the override. Argues the Anthropic-Pentagon fight is the proxy for whether federal AI procurement becomes regulated competition or a single-vendor lock-in. Reads with new weight after this weekend.
  This week's poll
  Three phone calls killed an AI safety executive order before it was public. What does that mean for the next 12 months of AI governance?
  Last week, 167 of you voted:
  Two trillion-dollar AI companies are about to test the public markets within weeks of each other. What happens?
  Three phone calls killed an AI safety executive order before it was public. What does that mean for the next 12 months of AI governance?
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