跳到正文

全部动态

今日 86 条
10月3日周六
  1. 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。

  2. 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。

  3. 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。

  4. Hacker News:AI 热帖74

    arXiv 限制每位提交者每月最多提交 2 篇论文以应对低质量 AI 投稿

    arXiv 宣布立即限制每位提交者每个自然月最多提交 2 篇新论文,同时最多保留 3 篇处于审核中的活跃投稿,被拒稿件也计入月度额度。该限制按实际提交人计算,多作者论文只占用提交者额度;arXiv 9 月收到 40,363 篇投稿,10 年前同期为 9,869 篇。arXiv 称近期不少 AI 辅助论文未满足披露和学术价值要求,新上限是缓解志愿者审核负担的临时措施。

  5. 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。

  6. Hacker News 热门(buzzing.cc 中文翻译)55

    Apple 将收紧 macOS 全盘访问权限授予控制

    Apple 宣布将为 macOS 的全盘访问功能引入额外控制,用户只有通过非常明确的操作,才能向应用授予这种高级别访问权限。Apple 称部分开发者对全盘访问的使用可能暴露文件、邮件、信息和浏览历史,并特别指出随着 AI 智能体能力和自主性增强,相关风险会显著上升。

  7. 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。

  8. Rohan Paul62

    特朗普预计任命其情报主管 Jay Clayton 担任白宫新的 AI 事务负责人,并让其在继续监管 18 个情报机构的同时把 AI 政策纳入情报事务。Clayton 将超级智能视为国家安全问题,主张全政府方式监管,但反对暂停 AI 发展;这与前任 David Sacks 倾向少监管、以速度领先中国的路线不同。预计政策会加强对 AI 驱动黑客等威胁的监督,同时不为开发设置刹车。

  9. 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.

  10. 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.

  11. The Verge · AI25

    Shivon Zilis 在 X 宣布与 Elon Musk 分手

    Shivon Zilis 在 X 转发“Big Tech Alert”关于 Musk 已取消关注她的帖子,宣布自己与四个孩子的父亲 Elon Musk 分手。她称分手在一周内毫无预警地发生,并表示两人育有四名子女。Zilis 曾在庭审中称自己为 Musk 横跨 Tesla、Neuralink 和 OpenAI 的 AI 业务工作。

  12. Hacker News 热门(buzzing.cc 中文翻译)67

    Supabase 宣布收购 Turso,共同建设面向 AI 智能体的数据库基础设施

    Supabase 宣布收购 Turso,以应对 AI 智能体大规模创建数据库带来的基础设施需求。现有用户服务不变,Supabase 继续围绕 Postgres 建设,Turso 继续推进 SQLite;Turso 用 Rust 重建 SQLite,其云平台可由单台服务器管理数百万个按需加载和挂起的数据库。