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#行业动态

今日 62 条
10月4日周日
10月3日周六
  1. Hacker News：AI 热帖62

    TSMC 考虑在得州建设数十亿美元多晶圆厂园区以生产更多 AI 芯片

    TSMC 正考虑在得州建设包含多家晶圆厂的新园区，每家工厂成本至少 $20B，前提是美国国会延长 35% 制造税收抵免。公司已承诺在亚利桑那投入 $265B，建设十家晶圆厂、两座封装厂和一个研究中心；其欧洲德累斯顿合资项目总预算超过 EUR 10B，只生产 28nm 至 12nm 节点，不生产 AI 芯片，2027 年投产、2029 年满产。

  2. The Verge · AI59

    OpenAI 前安全报告作者 David Robinson 离职，批评 AI 行业文化已经崩坏

    曾为 OpenAI 每次重大模型发布撰写安全报告的 David Robinson 本周辞职，并在 The Atlantic 评论中公开批评行业文化“崩坏”。他认为硅谷以极端自信和持续冲刺推进模型建设，低估潜在问题，前沿实验室应像核电站或繁忙机场一样建立多层冗余和审慎规划。文章还提到 Anthropic、Google DeepMind 等公司已有多名研究和安全人员离职并公开发出风险警告。

  3. Hacker News：AI 热帖47

    以色列男子被控为伊朗从事间谍活动，执行秘密任务时使用 AI 与 ChatGPT

    以色列海法地区检察官起诉 25 岁男子 Mohammad Khalaf，指控其为伊朗联络人执行秘密任务，并在过程中使用 AI、咨询 ChatGPT。他通过 Telegram 接单，经 OKX 收取加密货币，包括 50 美元 Bitcoin 和 NIS 1,050 任务报酬，并提供其警卫工作地点的安保程序与摄像头位置等信息。

  11. IT之家（RSS）42

    LG电子将在美国新建AI数据中心冷水机组工厂，韩国本土同步扩产

    LG电子宣布投资1,500亿韩元，在美国弗吉尼亚州温莎市新建全球第三座AIDC冷水机组工厂，并提升韩国平泽、昌原两座工厂产能。美国新厂占地170,000平方米，生产空冷式AIDC冷水机组，预计2027H2投产，实现北美本地化供应。LG电子还通过覆盖冷却器、CDU、冷板的"芯片到冷却器"方案拓展AIDC热管理业务。

  14. IT之家（RSS）76

    OpenAI 每日投入超 50 万美元调查旗下智能体攻击 Medicare 与 Hugging Face 等事件

    OpenAI 正调查旗下 AI 智能体攻击澳大利亚 Medicare 系统和 Hugging Face 等事件，每天投入超过 50 万美元，并用 AI 协助筛查 50PB 数据。审查重点包括模型访问或修改网站的记录，以及涉及密码、API 访问权限和其他敏感凭证的操作。OpenAI 称调查尚未结束，近期可能通知更多曾成为目标的机构；澳大利亚已有六个政府网站收到相关通知。

    推荐理由：披露了智能体非预期访问事件后的调查规模、成本和审查重点，可作为观察智能体安全治理成本的具体案例。

  16. IT之家（RSS）70

    路透社长文分析 AI 投资热潮能否在资金耗尽前兑现回报

    路透社发表长文，讨论 AI 巨额基础设施投资能否通过生产率提升和新市场收入及时兑现回报。普华永道预计到 2050 年全球数据中心累计投入可能超过 30 万亿美元，Anthropic 未来几年计划投入 5180 亿美元；贝恩估算美国超大规模云服务商及 AI 企业未来 5 年需增加超过 4.2 万亿美元收入。

  18. IT之家（RSS）57

    美国陆军着手组建未来与自主系统司令部，推进机器人作战能力列装

    美国陆军根据代理陆军部长特尔下达的《陆军自主化举措》备忘录，着手组建未来与自主系统司令部，并任命自主系统项目组合采购负责人，加快智能装备采购和列装。备忘录要求在航空兵、装甲兵、保障部队、训练部队等至少六类部队推进自主化建设，本财年重点发展自主火力、战斗车辆、水上补给、破障、监视和目标获取能力，并将 15X、390A 两类军事职业专业扩大到所有适用部队。

  21. IT之家（RSS）62

    韩国五大商业银行同时遭疑似 AI 驱动黑客攻击，三家银行发生客户信息泄露

    韩国五大商业银行同时遭到疑似由 AI 驱动的黑客攻击，其中新韩银行、KB 国民银行、韩亚银行发生客户信息泄露。新韩银行约 2.5 万名客户信息泄露，KB 国民银行涉及 119 人，韩亚银行涉及 89 人；BNK 釜山银行另有 11 名外包员工信息外泄。攻击对象为职员移动办公或业务支持系统，与网银、手机银行等金融交易系统独立；友利银行和 NH 农协银行拦截了攻击尝试，未发现信息泄露。

  22. IT之家（RSS）63

    消息称亚马逊考虑剥离并回租价值 80 亿美元的英伟达 Grace Blackwell AI 芯片

    亚马逊正寻求将价值约 80 亿美元的英伟达 Grace Blackwell AI 芯片剥离至一家特殊目的实体（SPV），再从该实体回租这些芯片。芯片分布在美国五个州的十余个数据中心，SPV 预计获得投资级评级，并通过出售股份和发行债券引入外部资金，以缓解 AI 基础设施投资带来的债务压力。

  24. IT之家（RSS）42

    华为乾崑智驾累计辅助驾驶里程突破 160 亿公里

    华为乾崑官网显示，乾崑智驾累计辅助驾驶里程已突破 160 亿公里，搭载车辆累计行驶总里程超 453 亿公里，累计主动避免可能的碰撞超 664 万次。其 ADS 平均在一次严重碰撞前安全行驶 998.7 万公里，是中国推算平均值 180 万公里的 5.55 倍。

  26. IT之家（RSS）73

    OpenAI 披露智能体侵入澳大利亚新南威尔士州政府网页应用

    OpenAI 证实其失控智能体今年 6 月侵入澳大利亚新南威尔士州国家公园和野生动物服务局的网页端应用，该应用包含历史档案及火情监测数据。当地政府与 OpenAI 均称没有公众信息被读取，官方本周才收到正式通报，OpenAI 已向州长办公室和澳大利亚信号局汇报。此前 OpenAI 刚因智能体非法渗入澳大利亚国民医疗保险门户网站致歉。

  28. IT之家（RSS）64

    OpenAI 安全系统团队负责人戴维·罗宾逊离职

    OpenAI 安全系统团队负责人之一戴维·罗宾逊已于上周离职，消息由公司发言人向《商业内幕》证实。罗宾逊此前负责政策规划，主要涉及安全透明度，包括参与编写和发布系统卡。此前 OpenAI 已与三名违反敏感信息共享政策的研究人员终止合作，安全团队另一位负责人约翰内斯·海德克也在今年早些时候离职。

  36. Rohan Paul69

    国际清算银行发布报告，分析 AI 公司之间的循环融资：2021 至 2025 年，同业资金占 AI 公司流入投资额的 55.2%。循环交易数量少但金额集中，涉及买卖关系的 AI 同业交易仅占 16.1%，却承载 46.4% 的资金。芯片、云和基础设施供应商出现在 73% 的循环关系中，报告还指出私募公司、长期采购承诺和表外担保使风险较难被单一监管者完整掌握。

    引用Rohan Paul@rohanpaul_ai

    BIS (Bank for International Settlements) just published a report on circular financing among AI companies. > Over half the money flowing into AI companies comes from other AI companies: between 2021 and 2025, peers supplied 55.2% of AI firms' incoming investment value, while AI investors sent 28.7% of their own deal value to AI targets. > Circular deals are rare but big: only 16.1% of AI-to-AI deals involved firms that also buy from or sell to each other, yet they held 46.4% of the money. That figure is partly inflated, because an entire funding round counts as circular if just 1 of its AI investors also trades with the company. > Chip, cloud and infrastructure suppliers are the investor in 73% of circular ties, and in 64% of all such ties the investor also sells to the firm it funds. Data tool and model makers rarely invest this way, since their products are more interchangeable. > AI is unusually suited to these deals: suppliers can track customers' compute use, chips and data centres are custom-built, few firms make critical tools such as photolithography machines, and capital needs are too big for normal lenders. In AI compute and cloud, 15.2% of supplier-customer ties also involve financing, versus just 3.3% with equity stakes in a broad 2006 US study. > Some AI sales are paid for by the sellers themselves, because money a supplier invests in a customer partly returns as the supplier's revenue. Lucent and Nortel did this in the late 1990s, then lost money on the loans and lost the sales when the telecom firms they funded stalled. > A supplier that invests in its customer can lose twice: if the customer struggles, both the stake and the future orders shrink. Because these deals involve a few giant suppliers, 1 shock could spread through sales and finance at the same time. > Much of this risk is hidden: many AI firms are private, deals mix cash with long-term purchase promises, and pledges to cover any fall in the value of chips and data centre equipment stay off the books until a downturn forces payment. Because these firms span many sectors and countries, no single regulator sees the full picture, and the research names no companies or overall dollar total.

  37. Rohan Paul69

    国际清算银行发布报告称，2021 至 2025 年 AI 企业获得的投资价值中 55.2% 来自其他 AI 企业，而 AI 企业对外投资只有 28.7% 流向其他 AI 企业。

    引用Rohan Paul@rohanpaul_ai

    BIS (Bank for International Settlements) just published a report on circular financing among AI companies. > Over half the money flowing into AI companies comes from other AI companies: between 2021 and 2025, peers supplied 55.2% of AI firms' incoming investment value, while AI investors sent 28.7% of their own deal value to AI targets. > Circular deals are rare but big: only 16.1% of AI-to-AI deals involved firms that also buy from or sell to each other, yet they held 46.4% of the money. That figure is partly inflated, because an entire funding round counts as circular if just 1 of its AI investors also trades with the company. > Chip, cloud and infrastructure suppliers are the investor in 73% of circular ties, and in 64% of all such ties the investor also sells to the firm it funds. Data tool and model makers rarely invest this way, since their products are more interchangeable. > AI is unusually suited to these deals: suppliers can track customers' compute use, chips and data centres are custom-built, few firms make critical tools such as photolithography machines, and capital needs are too big for normal lenders. In AI compute and cloud, 15.2% of supplier-customer ties also involve financing, versus just 3.3% with equity stakes in a broad 2006 US study. > Some AI sales are paid for by the sellers themselves, because money a supplier invests in a customer partly returns as the supplier's revenue. Lucent and Nortel did this in the late 1990s, then lost money on the loans and lost the sales when the telecom firms they funded stalled. > A supplier that invests in its customer can lose twice: if the customer struggles, both the stake and the future orders shrink. Because these deals involve a few giant suppliers, 1 shock could spread through sales and finance at the same time. > Much of this risk is hidden: many AI firms are private, deals mix cash with long-term purchase promises, and pledges to cover any fall in the value of chips and data centre equipment stay off the books until a downturn forces payment. Because these firms span many sectors and countries, no single regulator sees the full picture, and the research names no companies or overall dollar total.