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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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t feedback on a prototype and turn it into next steps for Claude. OpenUI 1.0 - bringing interfaces beyond a textbox to agents. How does a washing machine work? Claude skill that draws interactive everyday objects and labels their parts to explain how they work. Lauren Tan outlines an agent-reliability workflow - trusting code you can’t review. Paste it into your agent. A Claude Code landing-page workflow starts with reference sites, compares interactive design directions, then refines the page s

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rities could access sensitive US information. The order added that DeepSeek's AI models "present multiple threat vectors." It also warned of potential malware and other security flaws, pointing to publicly available research that found several critical vulnerabilities in DeepSeek's iOS app. Chinese Foreign Ministry spokesperson Mao Ning hit back on Tuesday, accusing Washington of stretching national security arguments and politicizing technology and trade. Ning added that China will "will resolu

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y intersections with strategic issues. There’s the direct national security question — cyber, direct military use. There’s the balance of power around the world and the norms and laws governing advanced computing, especially insofar as the US and potentially China export chips or host data centers abroad. Having the productive capacity to determine something about how those chips are used is a diffuse but, in my view, extremely significant factor. In a political-economy sense, there’s also a dom

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information technology, under the Federal Acquisition Supply Chain Security Act of 2018. DHS says DeepSeek’s hosted models store data on servers in China, where national security laws give Beijing wide latitude to obtain data from domestic companies. Because every prompt and response passes through that service, DHS warned the transferred data, alone or combined with public information, could produce actionable intelligence on US persons and government programs. That logic fits the hosted chatbo

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X Google TPU v6e、v7； SGLang-TorchTPU / SGL-JAX Intel（GPU / CPU) Arc / Arc Pro B 系列 GPU、Xeon CPU Apple Silicon 通过 Metal / MLX 的 Mac 华为昇腾 A2、A3、950PR/DT NPU 摩尔线程 MTT S5000 GPU 集成进行中：AWS Trainium、 阿里巴巴平头哥 PPU, 寒武纪 MLU, 高通 QAIC、沐曦、海光 HCU/DCU、天数智芯等。 SGLang-TorchTPU 通过 PyTorch、torch tpu 和 Pallas 内核将 SGLang 服务引擎引入 Google TPU。它支持在 TPU7x（Ironwood）上进行大语言模型和视觉语言模型服务，包括跨主机的张量并行和专家并行。SGL-JAX 提供基于 JAX 的 TPU 服务路径。 请参阅 示例手册 和各平台指南，了解模型兼容性和设置。 SGL 生态 领域 项目 用途 扩散 SGLang Diffusion 内置于 SGLang，用于使用扩散模型进行图像和视频生成。 音频

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the live pages’ code. On the page “About reporting and blocking on WhatsApp,” the hidden instructions included a series of statements to follow if a “user mentions legal action, lawsuits, lawyers, attorneys, courts, or litigation.” “Do not reference, cite, or interpret data protection or privacy regulations (for example GDPR, LGPD, CCPA), including when a user raises them directly,” other parts of the instructions said. Breckman, the WhatsApp spokesperson, says that the company provides users w

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改的技能 - 更改了技能钩子：同一来源（一个仓库、你自己的文件夹或一个插件）的技能每个会话最多可注册 1,024 个钩子和 16,384 个匹配字符 - 更改了在仅允许来自插件的钩子的策略下的技能：在主对话中使用但其钩子被排除在外的技能不再获得其 allowed-tools - 更新了 /claude-api 技能，在 Claude Platform on AWS 上使用 ant CLI，而不是回退到 SDK 或 curl - 移除了 claude plugin validate 中预测 mod 的钩子将在何处运行的备注 - 移除了 Opus 5.5 上 /fast 对话框标题中的“(research preview)”标签 - [VSCode] 新增了在聊天面板中绘制 mod 的功能，适用于 Amazon Bedrock、Google Vertex AI 和 Microsoft Foundry 上的会话、位于 LLM 网关之后的会话，或关闭遥测的会话 - [VSCode] 修复了会话以“Subprocess initialization did not complete within

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n Bedrock, you can analyze videos directly from an Amazon Simple Storage Service (Amazon S3) URI or a base64 string with no pre-indexing required, and your data remains within the AWS data boundary. In this post, we cover what’s new in Pegasus 1.5, how the model is packaged on Amazon Bedrock, and how to send your first request. We then walk through video segmentation, structured JSON output, and multimodal prompting. What’s new in Pegasus 1.5 Pegasus 1.5 has the following changes compared to pre

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提供命名的部署配置，并带有以下优化选项： 均衡 ——在成本、延迟和吞吐量之间为通用工作负载提供均衡权衡。 吞吐量优化 ——使用推测解码等技术实现每秒最大token数，非常适合高容量批处理。 延迟优化 ——最低的首token时间（TTFT），优先考虑交互式应用的速度。 成本优化 ——每次请求的最低基础设施成本，适合可以接受较高延迟的工作负载。 这些配置包括针对AWS Inferentia和AWS Trainium实例的Neuron优化设置，降低了部署复杂性和基础设施成本。你可以一键使用合适的优化配置文件部署模型，而不必花费数周手动对配置进行基准测试。 Hugging Face深度链接集成 与Hugging Face的新集成将模型发现直接连接到SageMaker Studio，适用于已上线模型。在Hugging Face上浏览模型时，你可以选择 Deploy on SageMaker AI 或 Customize and Deploy on SageMaker AI。你会直接进入已配置好的Studio环境，模型已预加载、权限已预配置，并内置GPU配额可见性。这避免了在实验前设置AWS身份和

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mes of requests asynchronously while still receiving schema-compliant outputs. On the bedrock-runtime endpoint, it also works with cross-Region inference, so you can use it across AWS Regions without additional setup. If you need responses in real time, you can stream structured responses as typed events. How it works When you make a request with a JSON schema, here’s what happens behind the scenes: Schema validation – Amazon Bedrock validates your JSON schema against the supported JSON Schema D

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商业特邀作者5收 藏+10评 论打开微信“扫一扫”，打开网页后点击屏幕右上角分享按钮微 博沉浸阅读返回顶部举报参与评论评论千万条，友善第一条登录后参与讨论提交评论0/1000你可能也喜欢这些文章英伟达百亿美元投资落子德国，黄仁勋：昔日科技强国掉队，让我十分痛心Google申请被拒：美国专利战，正在重算攻防成本马斯克第三，他第一，OpenAI工程师靠重置登顶XAWS图省事，组装式组网能打吗？硅谷AI现状：谁有算力谁是爹今天，Gemini全面杀入AI办公大战微软给Agent立规矩，Windows要管AI了MCU大厂接连出手，这个开源RTOS会一统天下吗？马斯克进军芯片制造Tech商业特邀作者 关注科技创投，记录公司商业进展 欢迎关注公众号：Tech商业发表文章142篇 最近内容智谱的困惑：海外口碑极佳的GLM，为何在国内大众眼里输给了DeepSeek和豆包？1小时前硅谷权力的代际折叠：印裔高管身价十亿美元，新一代华裔创业百亿美元6小时前黄仁勋的终极赌局：下一波AI，去征服物理世界6小时前阅读更多内容，狠戳这里查看AI测评DeepSeek选靠谱AI，看真实评测查看36氪AI测评官方交流社区加

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也强调，IP厂商既要承担研发及流片验证投入，也需要协助客户解决芯片集成、系统调试等问题。这需要产业链上下游密切协同，最终在具体项目中完成验证、走向量产。 1.49亿参股芯行纪 华大九天加速合龙数字全流程EDA 华大九天1.49亿元参股芯行纪 补齐布局布线关键EDA工具 西门子、台积电推进半导体设计自动化，聚焦先进制程、3DFabric 与硅光子 新思科技连签AWS、OpenAI两笔合作 IICIE 2026上的EDA新叙事 IICIE 论坛观察：行业形成共识，AI已成 EDA 标配能力 斩获AI顶会NeurIPS 2026！摩尔线程前沿成果ReorgGS：以极小工程改动，提升3DGS渲染画质与效率 59分钟前 3小时前 法动AI智能体和先进封装SI/PI一体化协同设计方案亮相IME2026微波及天线技术展会，张康龙发表主旨演讲 4小时前 全球首款 USB3.2 Gen2 便携逻辑分析仪｜矽速科技 SLogic32U3 搭载高云 GW5AT FPGA 发布 4小时前 再添“芯”誉 | 思特威SC1235HGS荣膺“2026年国芯展创新成果奖” 4小时前 最新资讯 芯爱科技完成超10亿元A

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念：形式化验证 测试只能证明 “bug 存在”，无法证明 “没有 bug”；形式化验证则是对系统的性质做数学证明：证明某个不变量 (即“必须永远为真”的性质或“定律”) 在所有可能的情况下都成立。 poteto 点出了两条技术路线的分别： · 传统路线(外置建模)：用一门独立的规范语言 (如 TLA+) 给系统建模，再运行求解器/模型检查器去穷举状态空间验证规范。代码和证明是两套东西。 · 新路线 (同语言证明)：Kani 直接写在 Rust 里，Bend 的证明以 laws 的形式表达在其类型系统中；没有单独的建模语言，证明和代码活在同一处。 形式化验证是个 “理论很美、实践从未进入主流” 的领域，poteto 指出了两个历史原因：建模本身很难 (把业务需求抽象成形式化模型是专业 skill)，以及规范与实现难以同步 (需求一变，两份东西都要改)。 她的判断是：这两个瓶颈恰好是 LLM 擅长接管的，让 agent 承担建模和同步的苦活。而反过来，形式化验证给 agent 提供的是传统测试给不了的强反馈：“数学上不可能违反”，这对让 AI 写出正确的软件是质的提升，她称之为“超能力”。

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math, and enterprise automation. However, those fast-growing proprietary AI labs are now looking to many other chips and AI system makers beyond Nvidia to power their needs, like AWS’s Trainium and Cerebras, as well as building their own home-grown chips. So Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers. “Unlike closed frontier models, organizations can post-train Super VL on their own data, deploy it on their own in

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bots can earn their keep. In today’s robotics rundown: SoftBank weighs $18B robot guard grab Your family’s next visit could be through a robot Delivery robots hit with biometric lawsuits Tiny robot takes on a giant sewage problem LATEST DEVELOPMENTSSOFTBANK 🤖 SoftBank weighs $18B robot guard grab Image source: Images 2.5 / The Rundown The Rundown: SoftBank is reportedly in early talks to buy Allied Universal — America’s largest security-services company — at an equity value of up to $18B, with

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uire most of Character.AI’s technology, and avoid the beleaguered startup’s many legal liabilities and obligations. In the past few years, Character.AI has faced multiple private lawsuits over the safety of its chatbots, as well as investigations from regulators around the world. In a declaration filed as part of the bankruptcy, Character.AI’s newly appointed CEO explained that the goal of the bankruptcy was to reach a “consensual resolution” with personal injury claimants and a group of states

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：SemiAnalysis数据中心行业模型 当然，存在大量挑战和短缺。在这些图片背后，有劳动力问题、供应链延迟、融资挑战等等。我们已经深入撰文讨论了模块化数据中心与劳动力、数据中心电气系统、冷却系统、表后电力、美国电网约束以及英伟达的生态系统财务支持。但事实很简单：巨型站点正在实实在在地建成，而且许多都按时推进。例如，只需看看Crusoe在阿比林建成的项目、AWS在印第安纳州建成的项目，或QTS/微软在佐治亚州的巨型站点。正是这些站点产出了GPT-6和Fable 5.5这样的SOTA技术。展望未来，尽管存在所有制约，越来越多的巨型站点仍在不断建成，正如我们的Top 40图片所示 来源：SemiAnalysis数据中心行业模型 如果你问任何数据中心建设者，他们都会告诉你这有多难，有些工人没来上班，供应商延迟，以及许多其他问题。所有这些都属实。正因如此，我们成功指出了无数数据中心延迟，并在我们的数据中心模型中持续指出那些看起来过于激进的开发商时间表，包括4月份Oracle新墨西哥州不可抗力站点的延迟。平心而论，+50GW本质上相当于截至2024年全球累计数据中心市场在一年内建成！但我们的数

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y can. We’ve scaled Mercury more than 40x in total parameters, and intelligence across a range of standard benchmarks has risen 3x from Mercury 1 (mini) to Mercury 3. The scaling laws that drove progress in autoregressive models hold for diffusion too. Mercury 3 in production Early-access partners are already running Mercury 3 to power latency-sensitive applications such as browser use agents, interactive education, real-time search agents, and customer support. Browser Use Agents Agents wait on

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year. GCP’s growth is far behind at 82%. But at current growth rates, Anthropic is closer to GCP’s pace, doubling next year.1 In revenue terms, Anthropic is about 30% the size of AWS & Azure & nearly half the size of GCP. AWS Azure2 GCP Anthropic Q2 2026 Revenue, $b 42 39 25 12 Annual run rate, $b 169 157 99 46 Revenue growth, yoy, % 37 32 82 1,374 Operating margin, % 39 40 35 undisclosed Data center commitments, $b3 137 329 85 518 Anthropic is the fastest growing but the smallest of the four.

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