内容来源：https://aiweekly.co/issues/anthropics-pentagon-model-is-now-everyones-model

内容总结：

AI周报：前沿模型公测、AGI时间线压缩、供应链安全告急与AI就业真相

Anthropic发布“神话”模型，打破尖端AI壁垒
Anthropic公司面向公众发布了名为“Mythos”的AI模型。此前，该模型仅供五角大楼和NSA等合同商使用，具备国家安全级能力。此次公开意味着，此前仅限国家安全的尖端AI能力现在只需一个标准API密钥即可调用，开发者级与主权级AI之间的能力鸿沟被瞬间填平。此举迫使OpenAI和xAI必须跟进，否则将沦为“公开前沿”之下的追随者。

DeepMind CEO将AGI时间表提前至2029年
DeepMind首席执行官Demis Hassabis将通用人工智能（AGI）的实现预期从“五到十年”显著压缩至“2029年成为现实可能性”。他明确将这一判断归因于AlphaProof Nexus的突破——该模型仅用数百美元计算成本，就解决了9个悬而未决的Erdős难题和44个OEIS猜想。剑桥大学数学教授正在审查其机器证明的有效性。

AI供应链遭受双重安全打击

• Starlette框架高危漏洞（CVE-2026-48710）：该认证绕过漏洞影响400多万GitHub依赖项目，包括vLLM、FastAPI等核心LLM推理堆栈。攻击者通过单个Host头注入即可绕过中间件。漏洞披露仅一天后，自动化利用工具已出现。
• 四通道僵尸网络被联合清剿：CrowdStrike、Google与Shadowserver同步切断了“Glassworm”僵尸网络的全部4个C2信道（Solana区块链、BitTorrent DHT、Google日历标题及传统服务器），防止其切换备用通道。该网络自2025年起已感染超300个代码仓库，专门针对开发者机器。

主权AI防御体系加速分化

• 法国巴黎银行与Mistral达成主权AI安全合作，将Mistral工程师嵌入其零售、投行及合规部门。此举直接回应了欧洲银行与美国银行在Mythos访问权限上的结构性鸿沟。欧洲央行同时要求欧元区银行加大AI安全投入。
• 中国扩大人才管控：北京将此前针对国有国防领域的人才控制措施延伸至阿里巴巴和DeepSeek等私营AI实验室，顶尖AI工程师需上交护照并申请海外旅行批准。同时，国家发改委要求国内AI公司将大模型与国产芯片配套使用，人才与供应链自主同步推进。

AI资本支出账单与裁员真相

• Uber全年AI预算4个月烧光：每位开发者月API令牌支出从500美元飙升至2000美元，70%的提交代码由AI生成，但ROI“不可见”。首席技术官证实Claude Code已耗尽全年预算，首席运营官承认无法向董事会证明支出的合理性。
• ClickUp宣布3:1人机比例变革：公司裁员22%的同时，同步上线3000个内部AI代理，仅保留1000名人类员工。这是首次CEO沟通中代理数量与裁员数量同时出现。同周，Wix宣布裁员1000人（20%），理由同为AI重组。
• 事实核查：MIT Technology Review发布的数据显示，AI接触岗位的失业率实际上低于科技行业其他岗位，此轮裁员潮与零利率时代结束的相关性远高于AI替代效应。Sam Altman在悉尼公开发表逆转言论，承认此前关于白领岗位“大灭绝”的预测有误，表示“很高兴自己错了”。

本周核心结论

• Anthropic公开“神话”模型，首次将五角大楼级AI能力置于普通开发者手中，行业竞争门槛被彻底重置。
• 关键基础设施漏洞（Starlette、LiteSpeed等）披露窗口缩短至一天以内，AI加速的漏洞发现周期成为新安全常态。
• 欧洲（BNP+Mistral）与亚洲（中国人才管控+芯片自主）同步构建主权AI防御护城河。
• “AI导致大规模裁员”的叙事出现裂痕：Altman逆转、MIT数据反证、Uber承认高采用率未带来可衡量ROI——新竞争问题不再是“你用AI吗？”，而是“你能衡量AI带来的回报吗？”

中文翻译：

Anthropic 向公众发布了 Mythos，仅凭一份新闻稿就推翻了承包商级前沿人工智能与开发者级前沿人工智能之间的壁垒。DeepMind 的 Demis Hassabis 将他的 AGI 时间线从“五到十年”调整为“到 2029 年成为真正的可能性”，并明确将其与 AlphaProof Nexus 以一顿牛排晚餐的成本解决九个开放 Erdős 问题的成就挂钩。针对 Starlette（影响百万级在线的 AI 代理）和 CrowdStrike 的严重零日漏洞被利用，后者领导了对横跨四个 C2 渠道的 Glassworm 开发者僵尸网络的协同清除。法国巴黎银行与 Mistral 正式确立了主权人工智能安全合作伙伴关系，而北京则冻结了阿里巴巴和 DeepSeek 顶尖 AI 工程师的海外旅行。关于 AI 取代劳动力的计算也变得坦诚：Uber 在四月份就烧光了全年的 AI 代币预算，ClickUp 重组为 1000 名人类员工与 3000 个内部代理的架构，Sam Altman 也公开推翻了他之前关于白领末日来临的预测。

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实验室角斗士时代

Anthropic 向公众发布 Mythos，这款五角大楼和 NSA 级别的模型现在任何人都可以使用。此前仅供签约承包商使用，Mythos 重新定义了公众可访问的前沿水平。主权级与开发者级 AI 之间的能力差距就此消失。来源：The Register

• Mythos 已部署在 NSA 和五角大楼的供应链运营中；公开发布使这些能力可通过标准 API 密钥获取
• 迫使 OpenAI 和 xAI 要么迎头赶上，要么承认落后于公共前沿
• 首次将应用于实际国家安全任务的能力公开向开发者开放

• Demis Hassabis 将 AGI 时间线调整至 2029 年，称之为“真正的可能性”。DeepMind 的首席执行官将其 AGI 预测从五到十年的范围压缩为一个具体的年份，并将其明确与 AlphaProof 最近的能力飞跃联系起来。来源：Axios

• Hassabis 引用 AlphaProof Nexus 作为数据点：仅花费几百美元的计算成本就解决了 9 个开放 Erdős 问题和 44 个 OEIS 猜想
• DeepMind 上次公开的时间线（Stratechery 访谈，2026 年 3 月）预计 AGI 在 2030 至 2035 年间；2029 年是一个明显的跃进
• 剑桥大学的数学教授们正在审核 AlphaProof 的机器验证证明是否能经受住检验

AI 供应链遭受围攻

CVE-2026-48710 "BadHost"：严重的 Starlette 身份验证绕过漏洞，暴露了数百万 AI 代理、FastAPI、vLLM 和 LiteLLM 的安全。一个简单的 Host 头部注入即可绕过中间件。X41 D-Sec 在 OSTIF 资助的 vLLM 审计中发现此漏洞。补丁于 5 月 21 日发布，5 月 22 日公开披露，只留出了一天的准备时间。来源：Ars Technica

• Starlette 在 GitHub 上有超过 40 万个依赖项目，包括 vLLM、LiteLLM、Ray Serve 和 BentoML，涵盖了大多数生产级 LLM 服务栈
• MCP 强制要求的未经验证的 OAuth 发现端点，为攻击者提供了入侵任何受影响部署的可靠第一步
• X41 随安全公告一起发布了 Semgrep 和 CodeQL 检测规则；自动化利用工具已经在野外流传

• CrowdStrike、Google 和 Shadowserver 同时切断了 Glassworm 的四个 C2 渠道。这是一次针对专门瞄准开发者机器的僵尸网络的协同清除行动，该僵尸网络涉及 npm、PyPI 和 GitHub 上的 JavaScrip、Rust 和 Zig 变体。自 2025 年以来，已有超过 300 个仓库被入侵。来源：TechCrunch

• 所有四个 C2 渠道（Solana 区块链、BitTorrent DHT、Google Calendar 事件标题、传统服务器）必须同时关闭，以防止故障切换
• 行业主导的执法行动：CrowdStrike 拒绝说明基础设施清除行动的法律依据
• 清除行动前被控制的机器仍可通过与 164.92.88[.]210 的连接被识别出来

DeepSeek 的悄然上位

法国巴黎银行与 Mistral 正式确立了主权人工智能安全合作伙伴关系，将 Mistral 工程师嵌入 BNP 团队。这是对结构性访问差距的直接回应：摩根大通获得了第一波 Mythos 访问权限，而欧元区银行则没有。欧洲央行同时敦促欧元区银行加大对 AI 安全的投资。来源：Bloomberg

• BNP 同时作为 Mistral 的投资者和重要客户，拥有美国银行与 Anthropic 关系所不具备的设计影响力
• Mistral 工程师被派驻到 BNP 的零售、投资银行和合规部门，表明这是基础设施层面的建设，而非标准 API 协议
• BNP 首席信息官 Marc Camus 将速度列为决定性因素：Mythos 级别的能力迫使的修复节奏会打破现有的安全工作流程

• 中国限制阿里巴巴和 DeepSeek 顶尖 AI 工程师的海外旅行。北京将此前适用于国有国防领域的人才管控机制扩展到了私营 AI 实验室。来源：Bloomberg

• 受影响的员工必须上交护照，并需获得批准才能出国
• 同一周，国家发改委指示国内 AI 公司将大语言模型与国产芯片配对使用。人才管控与芯片自给自足同步推进
• 与 BNP+Mistral 形成平行信号：两大阵营都在同时构建防御性的主权 AI 护城河

AI 资本支出税

Uber 在四个月内就烧光了 2026 年的整个 AI 预算。每位开发者的 API 代币月支出从 500 美元飙升至 2000 美元。70% 的已提交代码由 AI 生成，但投资回报率却不可见。Uber 首席技术官 Praveen Neppalli Naga 确认 Claude Code 耗尽了全年预算；首席运营官告诉《财富》杂志，他无法向董事会证明这笔支出的合理性。来源：连线（Steven Levy）· Fortune

• 95% 的 Uber 工程师每月使用 AI 工具；预算超支并非采用率不足的问题
• 多邻国 CEO Luis von Ahn 在同一周废除了公司要求员工在绩效评估中使用 AI 的规定，并指出成本压力是原因
• Sam Altman 在悉尼推翻了他之前关于白领 AI 工作岗位厄运的预测，理由是劳动力市场数据与他之前的预测不符
• 新的竞争问题不再是“你们在用 AI 吗？”，而是“你能衡量它带来了什么回报吗？”

• ClickUp 在一份新闻稿中宣布重组为 3:1 的 AI 与人类比例：裁员 22%，同时引入 3000 个内部 AI 代理，保留 1000 名人类员工。这是首次在 CEO 的公开沟通中，代理数量和裁员数量出现在同一份公告中。来源：TechCrunch

• ClickUp 还为留任的人类员工引入了 100 万美元的薪资等级，押注于更少、薪酬更高的操作员加上数千个代理的杠铃策略
• Wix 在同一周宣布裁员 1000 人（占全球员工总数的 20%），并采用了类似的 AI 重组框架
• 《麻省理工科技评论》反驳称，实际上受 AI 影响岗位的失业率低于科技行业的其他领域，而且裁员潮与零利率政策结束的相关性比 AI 替代效应更强

资本支出账单在裁员故事站稳脚跟之前就已到期
本周使得资本支出与就业之间的计算无法再保持抽象。Steven Levy 在《连线》杂志的特稿中给出了数据：Uber 每位开发者的 API 代币月支出从 500 美元跃升至 2000 美元，该公司在四月份就烧光了 2026 年全年的 AI 预算，95% 的工程师每月使用 AI 工具，70% 的已提交代码由 AI 生成，而首席运营官无法向董事会证明支出的合理性。多邻国 CEO Luis von Ahn 废除了公司要求员工在绩效评估中使用 AI 的规定，理由是成本压力。同一周，ClickUp 在同一份新闻稿中宣布裁员 22% 并引入 3000 个内部 AI 代理，明确了 3:1 的比例。Wix 宣布裁员 1000 人，占员工总数的 20%，理由是 AI 重组。WiseTech 的 CEO 在宣布因 AI 驱动裁员 2000 人后，在家中收到了手写恐吓信。
随后，《麻省理工科技评论》在同一周发布了反驳观点：受 AI 影响岗位的失业率实际上低于科技行业其他领域，而且裁员潮与零利率招聘时期结束的相关性比 AI 替代效应更强。Sam Altman，这位在过去一年里一直预言白领工作将消失的人，对悉尼的听众表示他“很高兴自己错了”。
模式如下：AI 资本支出是真实且可衡量的。归因于 AI 的裁员是真实的，但这种归因可能是借口。AI 的投资回报率是新的衡量标准，但没人能确定规则。下一个竞争问题不再是“你们在用 AI 吗？”——每家公司都在用。而是“你能衡量它带来了什么回报吗？”

关键要点

• Anthropic 发布 Mythos，首次将五角大楼级别的尖端 AI 通过开发者 API 提供，迫使该领域其他公司要么迎头赶上，要么承认落后于公共前沿
• 关键基础设施漏洞（Starlette、LiteSpeed、Ghost CMS）在公开利用工具出现前只有一天或更少的准备时间。AI 加速的漏洞发现周期是新的安全模型
• 主权 AI 防御正在平行分化：欧洲的 BNP+Mistral 和亚洲的中国国家发改委+人才管控机制，都在同时围绕前沿能力建造护城河
• “AI 导致裁员”的说法本周被公开打破。Altman 的立场转变、麻省理工科技评论的劳动力数据，以及 Uber 承认 84% 的 Claude Code 采用率并未带来可衡量的投资回报率，所有这些都在五天内出现

值得阅读

• Anthropic 工程团队：我们如何控制 Claude。首次披露 Claude 评估过程中发生的两起真实安全事件；在 25 次提示注入试验中，有 24 次导致 AWS 凭证泄露。
• Meta 和 Google 的开源护栏在不到 10 分钟内被免费工具攻破。《金融时报》详细介绍了现成的越狱工具如何击败当前的公共对齐工作。
• 《麻省理工科技评论》：对 AI 就业恐慌的现实核查。劳动力市场数据显示，受 AI 影响岗位的失业率低于更广泛的科技行业。该文与 Sam Altman 收回其白领岗位被取代预言在同一周发布。
• 《连线》：美国执法部门正式警告“反科技极端主义”，因为对 AI 的憎恨引发了现实世界的暴力。国土安全部的公告措辞已从“独狼风险”转变为一种具名的意识形态，极端分子渠道中流传着被列名目标的名单。
• The Verge：广告、速率限制、功能付费墙和涨价同时出现在 AI 助手中——免费搭车的时代结束了。关于 Anthropic、OpenAI、Google 和 Perplexity 在推理成本赶上使用量之际如何调整货币化策略的代币经济学调查。

本周投票
本周最重要的发展是什么？
截止日期：周五，
Alexis

英文来源：

Anthropic released Mythos to the public, collapsing the wall between cleared-contractor frontier AI and developer-grade frontier AI in a single press release. DeepMind's Demis Hassabis moved his AGI timeline from "five to ten years" to "a real possibility by 2029" and tied it explicitly to AlphaProof Nexus solving nine open Erdős problems for the cost of a steak dinner. Critical zero-days hit Starlette (a million AI agents on the wire) and CrowdStrike led a coordinated takedown of the Glassworm developer botnet across four C2 channels. BNP Paribas formalized a sovereign-AI security partnership with Mistral while Beijing froze overseas travel for top AI engineers at Alibaba and DeepSeek. And the AI-displaces-workforce arithmetic got honest: Uber burned its full-year AI token budget by April, ClickUp restructured to 1,000 humans alongside 3,000 internal agents, and Sam Altman publicly reversed his white-collar-apocalypse prediction.
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Quick Hits
The Lab Gladiator Era

Anthropic releases Mythos to the public, the Pentagon and NSA-grade model anyone can now use. Previously cleared-contractor only, Mythos resets what the publicly-accessible frontier looks like. The capability gap between sovereign-grade and developer-grade AI just collapsed. The Register

• Mythos has been deployed inside NSA and Pentagon supply-chain operations; public release puts those capabilities behind a standard API key
• Forces OpenAI and xAI to either match or accept being below the public frontier
• First time capabilities embedded in active national-security workloads cross openly into developer access

• Demis Hassabis moves AGI timeline to 2029, calls it "a real possibility." DeepMind's CEO compressed his AGI window from a five-to-ten-year range into a single named date, and tied it explicitly to AlphaProof's recent capability jumps. Axios

• Hassabis cited AlphaProof Nexus as the data point: solving 9 open Erdős problems and 44 OEIS conjectures for a few hundred dollars in compute
• DeepMind's last public timeline (Stratechery interview, March 2026) had AGI at 2030 to 2035; 2029 is a hard step in
• Cambridge maths professors are mid-review on whether AlphaProof's machine-checked proofs hold up under inspection
  AI Supply Chain Under Siege

• CVE-2026-48710 "BadHost": critical Starlette auth-bypass exposes millions of AI agents, FastAPI, vLLM, and LiteLLM. A single Host-header injection routes around middleware. X41 D-Sec found it during an OSTIF-funded vLLM audit. Patch shipped May 21, public disclosure May 22, one day of lead time. Ars Technica

• Starlette has 400,000+ GitHub dependents including vLLM, LiteLLM, Ray Serve, and BentoML, covering most of the production LLM serving stack
• MCP's mandated unauthenticated OAuth discovery endpoints give attackers a reliable first step into any affected deployment
• X41 shipped Semgrep and CodeQL detection rules with the advisory; automated exploitation tooling is already in the wild

• CrowdStrike, Google, and Shadowserver simultaneously cut Glassworm's four C2 channels. A coordinated takedown of a botnet aimed specifically at developer machines across JavaScript, Rust, and Zig variants on npm, PyPI, and GitHub. 300+ repos compromised since 2025. TechCrunch

• All four C2 channels (Solana blockchain, BitTorrent DHT, Google Calendar event titles, traditional servers) had to drop simultaneously to prevent failover
• Industry-led enforcement: CrowdStrike declined to specify the legal authority for the infrastructure takedown
• Beaconing machines from before the takedown remain identifiable via connections to 164.92.88[.]210
  DeepSeek's Quiet Takeover

• BNP Paribas formalizes a sovereign-AI security partnership with Mistral, embedding Mistral engineers inside BNP teams. A direct response to the structural access gap: JPMorgan had first-wave Mythos access while eurozone banks had none. The ECB simultaneously told eurozone banks to invest more in AI security. Bloomberg

• BNP holds dual standing as both investor and major customer of Mistral, giving it design leverage US bank-Anthropic relationships don't have
• Mistral engineers are embedded across BNP retail, investment banking, and compliance, indicating infrastructure buildout rather than a standard API agreement
• BNP CIO Marc Camus named speed as the decisive factor: Mythos-class capability forces remediation pace that breaks existing security workflows

• China restricts overseas travel for top AI engineers at Alibaba and DeepSeek. Beijing extended the talent-control regime previously applied to state-owned defense into private AI labs. Bloomberg

• Affected employees must surrender passports and request approval for foreign trips
• Same week, NDRC directed domestic AI companies to pair LLMs with homegrown chips. Talent control and chip self-sufficiency arriving together
• Parallel signal to BNP+Mistral: both blocs are building defensive sovereign-AI moats simultaneously
  The AI Capex Tax

• Uber burned its entire 2026 AI budget in four months. Per-dev API token spend jumped from $500 to $2,000 a month. 70% of committed code is AI-generated, ROI invisible. Uber's CTO Praveen Neppalli Naga confirmed Claude Code drained the full-year budget; the COO told Fortune he can't justify the spend to the board. Wired (Steven Levy) · Fortune

• 95% of Uber engineers are using AI tools monthly; the budget overrun is not a partial-adoption problem
• Duolingo CEO Luis von Ahn killed the company's AI-use-in-performance-reviews mandate the same week, naming cost pressure
• Sam Altman in Sydney reversed his white-collar AI job apocalypse prediction, citing labor-market data that doesn't match his prior forecasts
• The new competitive question isn't "are you using AI?" It's "can you measure what it returned?"

• ClickUp restructures to a 3:1 AI-to-human ratio in a single press release: 22% layoff alongside 3,000 internal AI agents and 1,000 remaining humans. First public CEO communication where the agent count and the layoff count appear in the same announcement. TechCrunch

• ClickUp also introduced $1M salary bands for the remaining humans, betting on a barbell of fewer, higher-paid operators plus thousands of agents
• Wix announced 1,000 layoffs (20% of global headcount) the same week with a similar AI-restructuring framing
• MIT Technology Review counters that AI-exposed roles actually have LOWER unemployment than the rest of tech, and the layoff wave correlates more with end-of-ZIRP than with AI displacement
  The Capex Bill Came Due Before the Layoff Story Held Up
  This week made the capex-vs-jobs math impossible to keep abstract. Steven Levy's Wired feature put numbers on it: per-developer API token spend at Uber jumped from $500 to $2,000 a month, the company burned its full-year 2026 AI budget by April, 95% of engineers are using AI tools monthly, 70% of committed code is AI-generated, and the COO can't justify the spend to the board. Duolingo CEO Luis von Ahn killed the company's mandate that employees use AI as part of performance reviews, naming cost pressure. The same week, ClickUp announced a 22% layoff alongside 3,000 internal AI agents in the same press release, naming a 3:1 ratio. Wix announced 1,000 layoffs at 20% of headcount, citing AI restructuring. WiseTech's CEO received handwritten threats at his home address after announcing 2,000 AI-driven cuts.
  Then MIT Technology Review published a counter-narrative the same week: unemployment in AI-exposed roles is actually lower than across the rest of tech, and the layoff wave correlates more strongly with the end of zero-interest-rate hiring than with AI displacement. Sam Altman, who spent a year saying white-collar work would disappear, told a Sydney audience he was "delighted to be wrong."
  The pattern: AI capex is real and measurable. AI-attributed layoffs are real but the attribution may be cover. AI ROI is the new measurement nobody has settled rules for. The next competitive question is no longer "are you using AI?" Every company is. It's "can you measure what it returned?"
  Key Takeaways
• Anthropic's Mythos release puts Pentagon-grade frontier AI behind a developer API for the first time, forcing the rest of the field to either match or accept being below the public frontier
• Critical infrastructure bugs (Starlette, LiteSpeed, Ghost CMS) are landing with one day or less of lead time before public exploit. The AI-accelerated bug-discovery cycle is the new security model
• Sovereign AI defense is bifurcating in parallel: BNP+Mistral in Europe and China's NDRC+talent-control regime in Asia are both building moats around frontier capability at the same time
• The "AI is causing the layoffs" narrative cracked publicly this week. Altman's reversal, MIT Tech Review's labor data, and Uber's admission that 84% Claude Code adoption hasn't produced measurable ROI all landed inside five days
  Worth Reading
• Anthropic engineering: how we contain Claude. First-party disclosure of two real security incidents during Claude evaluations; AWS credentials exfiltrated in 24 of 25 prompt-injection trials.
• Meta and Google's open-source guardrails stripped in under 10 minutes using free tools. FT walks through how off-the-shelf jailbreak tooling defeats current public alignment work.
• MIT Technology Review: a reality check on the AI jobs hysteria. Labor-market data showing AI-exposed roles have lower unemployment than the broader tech sector. Lands the same week Sam Altman walked back his white-collar-displacement predictions.
• Wired: US Law Enforcement formally warns of "anti-tech extremism" as AI hatred fuels real-world violence. DHS bulletin language has shifted from "lone-wolf risk" to a named ideology, with named-target lists circulating in extremist channels.
• The Verge: ads, rate limits, feature paywalls, and price hikes are arriving at AI assistants at once — the free ride is ending. Token-economics survey of where Anthropic, OpenAI, Google, and Perplexity are sliding the monetization knobs as inference costs catch up with usage.
  This week's poll
  What's the most consequential development this week?
  Until Friday,
  Alexis