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eCUBE社区，支持我们保持内容开放和免费的使命。加入theCUBE的Alumni Trust Network，在这里，技术领袖们建立联系、分享情报并创造机会。 theCUBE视频拥有1500万+观众，推动着AI、云、网络安全等领域的对话 11.4k+ theCUBE校友——通过独特的基于信任的网络，与超过11,400位塑造未来的技术和商业领袖建立联系 您是AWS客户吗？通过我们的Marketplace门户页面和链接购买AWS服务，以财务方式支持SiliconANGLE：https://siliconangle.com/aws-marketplace/ 关于SiliconANGLE Media SiliconANGLE Media是数字媒体创新领域公认的领导者，将突破性技术、战略洞察与实时受众互动融为一体。作为SiliconANGLE、theCUBE Network、theCUBE Research、CUBE365、theCUBE AI和theCUBE SuperStudios的母公司——在硅谷和纽约证券交易所设有旗舰据点——SiliconANGLE Media在媒体、技术与AI的交汇

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cloud, cybersecurity and more 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-ti

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cloud, cybersecurity and more 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-ti

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asy to put either a heatsink or a liquid cooling block on top of it. Onboard, there is an M.2 slot. Usually these are for OS drives, but if you saw our recent Inside the Secretive AWS Networking Lab, the M.2 SSDs there are being used for log devices. This may seem like a small feature, but it means NVIDIA designed this less like a traditional motherboard replacement and more like something that is easy to assemble automatically. Something that may not immediately hit you if you are looking at ph

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. Instead, they refer to the amount of pretraining floating-point operations (FLOPs) required to achieve equivalent evaluation performance. The results were derived using scaling laws that estimate the relationship between model performance and computational requirements by training models of different sizes. Microsoft also integrated vision capabilities from the pretraining stage. According to the company, vision-language data accounted for approximately 18% of the overall training dataset. Thi

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片化并造成低效。AI 还会增加基础设施、软件（包括 copilot 等 SaaS 许可证）以及更广泛运营环境中的成本，而不仅仅是模型使用成本。（来源：Harness.io，《2026 年 FinOps 中的 AI 现状》） 同一模型既可能通过其开发者自有的托管 API 提供，也可能通过 Microsoft Azure、Amazon Web Services（AWS）和 Google Cloud Platform（GCP）等平台提供。定价、区域、API 端点和合同条款可能差异很大。 这造就了一个比传统云定价更复杂的采购环境。企业可自行微调的开源权重模型进一步扩大了可选方案，增加了成本管理的复杂性。 维持 AI 服务可用性并实施故障转移还带来额外挑战。云服务通常通过多区域策略应对中断，但主要 AI 提供商发生故障时，可能同时影响其平台上托管的所有模型。通过模型路由切换到替代服务更为复杂，因为这可能需要修改提示词和调整架构，同时性能和成本特征也可能不同。 传统云 FinOps 与 AI FinOps 也共享若干基本特征。 两者都源于高效管理基于使用量的资源的需求。与云服务一样，AI 平台通常

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你能在产品和平台上看到自己的印记，我也有真正的机会来塑造我们的战略。你这个季度做出的决定，将决定公司两年后的样子。一旦公司规模变大，这就很难找到了，而这正是我所怀念的部分。 你把 Vapi 描述为一个平台；为什么这种定位对你很重要？ 我与创始人交谈后得到的收获是，Vapi 并不是在构建一个应用。它是在构建一个公司可以在此基础上建立自己业务的平台。我把它看作 AWS 对云计算所做之事在语音领域的应用。 这正是我职业生涯大部分时间所做的那类工作，也是我见过能够大规模成功的那类工作。平台与基础设施是我从工程师成长为领导者的路径，多年来我学到了很多关于运营一个平台需要什么。我可以把这些经验带到公司的下一阶段。技术契合度与我们要进军的目标市场相互吻合，这是最吸引我的地方。 你担任这个角色后，首要任务是什么？ 第一是平台可靠性和可扩展性。我认为这是运营一个平台最重要的部分，我们必须持续投入，这样 Vapi 才能支撑即将到来的东西：持续的产品改进以及未来几个季度的一些高影响力发布。我们的首要工作是构建一个足够可靠的平台，来承载我们的产品。 任务就是继续像平台一样运营：以可靠性为基础，同时在效率和产品

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he heads of major AI firms signed a "morally binding" document, making them responsible for ensuring the safety of their own technology. Trump has repeatedly rejected the idea of laws to control development of the technology despite a debate about the potential risks of AI and what it means for humanity. Since then, the president has named the director of national intelligence Jay Clayton as the head of a new taskforce on AI which, he said, will co-ordinate government engagement with consumers,

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ty ImagesKylie Minogue songs already used to train AI as tech firms ‘strong-arm’ Australian government, music body warns Of the dozens of countries approached to water down their laws, Australia appears to be the only one considering it, publishers’ group says Get our new political email, free app or daily news podcast John Phelan, the ICMP’s managing director, told Guardian Australia AI companies were asking policymakers to “legitimise larceny”. “They’re trying to strong-arm Australian policyma

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reported to be 0.18%, or roughly one error per 533 items scanned. The Human Technology Institute has called on the federal government to build privacy protections into workplace laws, given exemptions in the Privacy Act related to employee records, as well as small business exemptions, have allowed workplace surveillance to grow. A March 2026 Minderoo-commissioned poll found 43% of Australians were aware some employers use technology including AI to monitor workers, but only 9% were aware monit

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pornographic or nude imagery using so-called “nudify apps”. Governments around the world have moved to ban these AI platforms from app stores, and most US states have implemented laws that criminalize possession of AI-generated child sexual abuse material. However, in spite of regulations prohibiting them, nudification apps are still proliferating and remain accessible to teens, according to a report from the digital advocacy group Tech Transparency Project (TTP) shared exclusively with the Guar

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not avoid it,” says Kolev. Then, earlier this year, the organization built a routing system, with enterprise-safe versions of Claude and ChatGPT running in private environments on AWS and Azure, in addition to some open-source models. “Our colleagues can choose which model to use,” he says. “And sometimes they do a prompt two different times and choose which one works better.” The system went into production in June, after a couple of months of testing and development. “Now, after all the polici

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within five years, with demand outpacing new supply. That has implications for the exchange-traded funds and investment portfolios financing AI infrastructure. “If they defy the laws of physics, it’s not going to matter,” he said. Ferrari outlined two potential alternatives to terrestrial infrastructure, beginning with the ocean. Moving compute into the ocean Ferrari pointed to Microsoft’s Project Natick, which tested underwater data centres. He said the pilots worked, but Microsoft abandoned t

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oneja said. He also noted that the model involves token economics, as the company prices tokens alongside human work. The company cited Collections Guru, a solution developed with AWS and deployed at Target Group. Tech Mahindra reported an approximately 40% efficiency gain in arrears management. Target Group’s Chief Operating Officer, Katie Pender, described the gains as anticipated and limited to the areas where the solution had been rolled out. The figure does not establish the deployment’s co

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超大规模云服务商已披露逾1.1万亿美元尚未启动的租约承诺，这部分"合成资本支出"并不体现在任何现金流量表的资本支出项下，却在经济实质上等同于债务融资。摩根士丹利信用策略师预计，2027年将是超大规模云服务商自由现金流缺口最大的一年，届时债务融资压力将显著上升。 1.6万亿美元的全景地图 摩根士丹利报告的核心是一张桑基图，将九大买家——Alphabet、亚马逊AWS、微软、Meta、租约池、SpaceX、甲骨文、CoreWeave及Nebius——合计1.58万亿美元的2027年支出，逐层追踪至半导体与服务器、网络与光学、数据中心基础设施、存储及国际供应商，最终落地至具体股票代码。 九大买家中，半导体与服务器是最大的单一支出方向，吸收6720亿美元，其中绝大部分流向英伟达。第二大方向是"国际"供应商，规模达5110亿美元，涵盖三星、SK海力士、台积电相关基础设施及台湾ODM厂商，这些公司均不在S&P 500成分股之列。 报告还指出，整张地图将1.6万亿美元资本支出映射至约1.7万亿美元的供应商收入，差额来源于私有新兴云服务商和比特币矿商对客户拆分的干扰、时间差异，以及尚未反映进资本支出预

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cloud, cybersecurity and more 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-ti

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reduced exploit rates by nearly 88% without affecting task success. A separate team went looking for weaknesses in the benchmarks themselves. Their BenchJack audit uncovered 219 flaws across 10 popular agent benchmarks, with generated exploits achieving near-perfect scores on most of them without completing the underlying tasks. Scores shaped by scaffolding Liquid AI outperformed Qwen3.6-35B-A3B on several benchmarks, scoring 27.69 to 8.72 on AutomationBench and 48.09 to 38.19 on LiveClaw. Qwen

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in the Middle、Judging the Judges）、协议规范（MCP 固定到 2025-11-25 版本、W3C Trace Context、OpenTelemetry、RFC 8693 与 RFC 9700）、厂商与标准组织的工程文档（Anthropic 的 Agent 与上下文工程文章、LangGraph、Temporal、Stripe、AWS、PostgreSQL、Google SRE、OWASP、NIST）。论文结果只在原研究任务、模型和预算下成立；厂商文档用于确认机制，不代表跨产品的能力保证；动态 API、模型价格和产品套餐不作为长期前提。 法律、司法解释与部门规范性文件：民事诉讼法、登记立案规定、在线诉讼规则、最高人民法院人工智能司法应用意见、个人信息保护法、医疗卫生机构网络安全管理办法、互联网诊疗监管细则、卫生健康行业人工智能应用场景参考指引。它们在文中只用于说明 Agent 的职责边界、人工确认要求与数据边界，正文分别标注文件性质，相关表述一律是本系列对规则的工程理解，不构成法律意见；具体适用仍需法务与业务负责人判断。 作者的参考设计与演算：两个案例、全

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斯坦福大学 CS336: Language Modeling from Scratch 第 10 讲「Inference」，在前后两讲 Scaling Laws 和 Scaling Laws II 之间，@percyliang 教授用一条完整的数学主线串起从架构、算法到系统的全部优化手段，把 “训练完的模型，如何又快又准地生成响应？” 讲得非常清楚！ 讲义采用 CS336 特色的“可执行讲义”形式，所有公式都是符号计算（sympy）逐步推导并断言验证的。整讲的逻辑顺序是：自回归 → 无法沿序列并行 → 算术强度低 → memory-bound → 一切优化 = 减少每步搬运的字节数，围绕这个链路展开。 1. 架构层（有损）：GQA/MLA/CLA 降维、局部注意力截断、量化、剪枝蒸馏；全部服务于“把 KV cache 和参数压小，且用评测证明没伤准确率”； 2. 算法层（无损）：投机采样，用“验证快于生成”的不对称性换取精确的免费加速； 3. 系统层：连续批处理、分页、前缀共享、写时复制；操作系统经典思想向 GPU 服务的迁移； 4. 张力贯穿始终：延迟 vs 吞吐（批大小）、速度 v

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的AI Index项目，通过数据追踪人工智能的发展。 图注：Import AI的简介部分，主要内容是两张Jack Clark的大照片 而过去几年里让他兴奋的技术趋势，也在不断得到验证。 克拉克后来回忆，在OpenAI工作的那几年，他亲眼看着AI学会处理越来越复杂的电子游戏，并逐渐展现出惊人的语言能力。 2020年，阿莫迪等人参与的规模定律（Scaling Laws）研究，开始能够根据模型参数、数据量和训练算力，预测模型的性能。这给了OpenAI训练更大模型的底气。 同年，GPT-3诞生了。 克拉克回忆，当GPT-3真的达到预期表现时，他非常震惊。他们知道，更大的变化还在后面。 早在2019年，OpenAI发布GPT-2时，就因为担心模型遭到滥用，选择了分阶段开放，而没有立即公开完整版本。 这种谨慎发布的思路，后来逐渐成为前沿AI行业的常见做法，如今，OpenAI、Anthropic等公司推出新模型时，也经常先向部分用户开放，经过测试后再扩大使用范围。 但在当年的OpenAI内部，每个人都有自己的主张。 据《大西洋月刊》2026年9月的调查报道，2020年，奥特曼曾向美国说唱歌手坎耶·韦

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