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及存入 cUSDCv3 的 458.34 万 USDC；主网 Chainlink SVR 收入则持有 355.95 ETH。目前两笔资金分别由 Foundation 控制的 2\u002F3 Safe 和 2\u002F4 Safe 管理。提案通过后，两笔资金均将由 Community Multisig 以 5\u002F9 多签方式托管。\n提案发起人表示，Proposal 613 此前于 10 月 7 日被 Proposal Guardian 取消。原 Proposal 613 计划关闭 EPCF，并将资金转入 Governor Timelock，但部分社区代表认为此举会削弱 EPCF 的快速响应功能。因此，此次替代方案保留 EPCF 原有用途、规模及 48 个月期限，同时继续保留紧急资金部署能力。\nugurmersin 认为，目前 EPCF 和 SVR 收入存在 Foundation 单一机构控制的问题。相比之下，Compound Treasury Escrow 由 Governor Timelock 控制，TMC 提款需要 6 名签署人中的 4 人批准，且提款还受到冷却期及 Community Multisig 等机制限制。\n提案还对 Foundation 此前使用 V2 储备资金的情况提出质疑。提案称，V2 Reserves 曾有约 798.8 万 USDC 转出并最终进入 Binance 存款地址；此外，100,000 COMP 及随后追加的 50,000 COMP 也经相关钱包流向多家交易平台。截至 10 月 8 日，该钱包累计向交易平台转入 213,800 COMP，并收回 93,049 COMP，目前仍持有 29,250 COMP。\n对于上述资金流向，提案发起人表示，Foundation 此前称「没有进行交易」，但",1791450240000,"Blockbeats",null,"Thu Oct 08 2026 09:04:00 GMT+0000 (Coordinated Universal Time)",{"id":22,"title":23,"content":24,"publishTime":25,"important":9,"sourceName":18,"language":19,"dateString":26},208665,"SemiAnalysis：字节占中国近1\u002F5数据中心容量，几乎全靠租","动察 Beating AI 快讯，半导体研究机构 SemiAnalysis 发布中国数据中心调查，逐一追踪了 60 多家运营商的 1000 多座设施。报告估算，到 2026 年底，中国数据中心容量将超过 24GW，全球仅次于美国的 56GW。字节跳动一家就占约五分之一，是国内最大的数据中心租户。\n字节跳动已租用超过 4GW 的数据中心容量，供应商包括秦淮数据、中联数据和世纪互联等。报告称，截至 2026 年初，字节跳动仍贡献秦淮数据约 90% 的营收。字节也开始加快自建，在山西、安徽和内蒙古建设大型数据中心，减少对外部供应商的依赖。\n中国数据中心虽然长期被认为空置率偏高，但 AI 机房仍然供不应求。原因是大量旧机房的供电和散热能力不足，难以直接部署高功耗 AI 服务器。新建的大型 AI 数据中心则在快速被租满。\n以 100MW 数据中心为例，不含服务器等 IT 设备，中国的建设成本约 3 亿美元，美国约 15 亿美元。中国同规模设施通常约 12 个月就能交付。相比美国面临的供电和审批难题，中国扩建 AI 数据中心更突出的瓶颈是先进芯片供应。",1791450000000,"Thu Oct 08 2026 09:00:00 GMT+0000 (Coordinated Universal Time)",{"id":28,"title":29,"content":30,"publishTime":31,"important":9,"sourceName":32,"language":19,"dateString":33},208664,"黄坤明：深圳要举全市之力加速推进人工智能和机器人产业发展","火星财经消息,广东省委书记黄坤明10月8日到深圳市，深入口岸枢纽和平台企业进行调研。黄坤明在调研中指出，四季度是完成年度目标任务、打好全年收官战的关键期、攻坚期。深圳要全力以赴拼经济稳增长，进一步强化经济运行调度，聚焦重点企业、重点产业精准施策，突出做好项目建设和储备，更好激发民间投资活力，着力扩大有效益的投资，持续激发有潜能的消费，不断巩固经济向新向优向好态势。要把培优壮大实体经济牢牢抓在手上，发挥优势做大做强先进制造业，举全市之力加速推进人工智能和机器人产业发展，一体强化技术、要素、场景建设，努力在培育智能经济上走在前、蹚新路，全面增厚产业发展新动能新优势。要把筹备办好APEC会议作为当前重中之重的工作抓紧抓实，紧盯细节全方位查漏补缺，优化细化服务保障，确保会议举办安全、顺利、圆满，一体推进城市品质提升、对外开放展示和产业创新赋能，充分彰显经济特区的勃勃生机、粤港澳大湾区的澎湃活力和中国式现代化的万千气象。要毫不松懈抓好安全生产和防灾减灾工作，聚焦重点领域、重点部位和重点人群强化风险防控、隐患排查和监管执法，坚决有力除隐患、防事故、保安全，切实守护人民群众生命安全和社会大局平安稳定。 （南方+）",1791449760000,"MarsBit","Thu Oct 08 2026 08:56:00 GMT+0000 (Coordinated Universal Time)",{"id":35,"title":36,"content":37,"publishTime":31,"important":9,"sourceName":32,"language":19,"dateString":33},208663,"黄坤明：希望腾讯坚定不移在人工智能领域进行长周期投入，深度参与广东人工智能基础设施建设","火星财经消息 10月8日，广东省委书记黄坤明10月8日到深圳市，深入口岸枢纽和平台企业进行调研。在腾讯公司总部，黄坤明走进展厅，现场观摩核心产品应用演示，着重考察腾讯在人工智能领域的研发创新和产业布局进展，并听取企业近年来数字科创以及赋能多领域发展的情况介绍。在与企业负责人、青年科学家座谈交流时，黄坤明对腾讯坚持以自主创新推动企业经营稳健发展的成效给予肯定，指出当前人工智能发展方兴未艾，广东明确把人工智能作为“十五五”乃至更长时期的重点发展领域，希望腾讯牢牢抓住新时代新机遇，坚定不移在人工智能领域进行长周期投入，充分发挥资源、技术、人才优势和各方面便利条件，深度参与广东人工智能基础设施建设，持续加大在粤算力布局，着力做强通用和垂类大模型并强化应用推广，助力广东加快全产业链智能化发展。同时用好自身技术研发、平台渠道、流量支持、技能培训等资源，加强数智内容创新生产与产品转化，推动岭南文化“活起来”“走出去”；更加深度参与“百千万工程”，帮助粤东粤西粤北地区拓展产品销路、建好建强中心镇、促进乡村文旅提档升级，在赋能广东县镇村建设中实现新的更大发展。省有关部门及深圳市要精准对接企业创新发展诉求，做细做实全周期服务保障，有力支持企业深耕主业、攀高向新。 (南方+)",{"id":39,"title":40,"content":41,"publishTime":42,"important":43,"sourceName":44,"language":19,"dateString":45},208662,"美欧国债收益率攀升，法国债务危机担忧加剧","ChainCatcher 消息，美国国债和欧元区政府债券收益率继续攀升，美国借贷成本接近数十年高位。法国国债表现弱于其他欧元区国家，投资者对法国能否在 2027 年将财政赤字降至 GDP 5% 表示担忧。MainSky Asset Management 主席舒尔特指出，法国债务正以每年约 8% 的速度增长，若持续下去，2027 年底债务占 GDP 比率或达 130%。",1791449460000,true,"ChainCatcher","Thu Oct 08 2026 08:51:00 GMT+0000 (Coordinated Universal Time)",{"id":47,"title":48,"content":49,"publishTime":50,"important":9,"sourceName":18,"language":19,"dateString":51},208661,"DHH晒Rust版快150倍遭质疑，AI写代码后还需要追求易读吗？","动察 Beating AI 快讯，著名 Web 开发框架 Rails 的作者 DHH 让 AI 把自己公司 37signals 的聊天软件 Campfire 分别移植到 Rust、Go 和 Elixir。最初测试中，Rust 版每秒处理约 3.6 万次聊天室页面请求，原版 Ruby 只有约 240 次。\nDHH 过去偏爱 Ruby，主要看重它的开发效率和代码易读性。他如今开始重新考虑，如果 AI 负责写代码，人类也不再逐行阅读，还有必要为了开发方便而牺牲运行速度吗？\nVercel CEO Guillermo Rauch 力挺这一判断。Vercel 曾花 15 个月，将构建工具 Turborepo 约 7 万行 Go 代码移植到 Rust。虽然团队认为 Rust 更适合底层系统操作，但人工迁移成本太高，投资回报曾在内部引发争议。Rauch 认为，AI 降低了代码编写成本，过去方便人类开发的语言，未必仍是企业最划算的选择。\n但 DHH 的跑分很快遭到质疑。Elixir 创始人 José Valim 检查代码仓库后发现，Rust 版经过数百次提交和多轮性能优化，Elixir 版却基本停留在首次移植的状态。两者架构也不同。Elixir 将数据库操作集中到一个进程，Rust 则使用并发读取和缓存等优化。这样的测试很难证明性能差距究竟有多少来自语言本身。\nDHH 回应，自己要求顶级 AI Agent 尽可能发挥各语言的性能。如果 Agent 找不到 Elixir 的优化方法，这也是实际开发中需要面对的问题。\n社区随后继续优化不同版本。10 月 8 日更新的统一测试显示，Rust 版每秒处理约 10.6 万次聊天室页面请求，Go 版约 5.3 万次，Rust 仍快约一倍。",1791449160000,"Thu Oct 08 2026 08:46:00 GMT+0000 (Coordinated Universal 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