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e creation of Bose Frames and Romine ran the hearing aids division. After their time at Bose, Trivedi joined EssilorLuxottica, where he led smart eyewear efforts and worked on the Meta Ray-Ban smart glasses, while Romine went on to serve as COO of hearing care company Audicus. The pair then joined forces to explore the intersection of hearing technology and smart eyewear. Legato Frames can be purchased on the startup’s website or through select eye care providers in the U.S., where they are elig

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家庭的投资全流程——从投研、规划到最终交易。 几十年前，普通散户必须致电经纪人，并为每笔交易支付昂贵佣金；而如今在平台高管描绘的蓝图中，智能体正成为华尔街的“自动驾驶汽车”：让投资者即便在完全移开注意力时，也能自动化参与股票、期权、比特币乃至预测市场合约的交易。 就在上周，嘉信理财、LPL Financial 及摩根大通等机构的股价集体下挫。市场普遍担忧，以Meta旗下Muse为代表的智能体工具，可能会自动把客户账上的闲置现金扫入收益率更高的竞品账户——这直接掐中了传统银行与券商高度依赖低成本现金吸储的盈利“命脉”。 今年早些时候，Robinhood已允许用户将Claude或OpenClaw等第三方AI助手连接到投资账户。其他经纪公司也推出了类似工具。一些精通技术的投资者构建了定制化的代理程序，这些程序就像一支微型资产管理团队，能如同对冲基金的分析师团队一样进行数据分析和市场监控。 散户接受度仍待观察 Robinhood表示，迄今已有超过15万名客户开设了智能体交易账户。但为了控制风险，智能体工具仅能调配这些独立专用账户中的资金，且用户可选择手动批准每笔交易。 Robinhood还表示

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lacement for every pending cluster, then act on it. This is the direction the rest of Modal’s scheduling systems are moving in too. On each iteration, the gang scheduler: Collects metadata for all multi-node workloads in the system; Assigns all workloads to nodes, grouping by AZ and network ID; Spins up any new capacity for workloads which do not currently fit; Sends schedule notifications to all nodes which are alive The gang scheduler pulls from the same capacity pool as everything else on Mod

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①OpenAI最新推出了一款全天候在线的智能体“Dot”，欲借此在AI数字助理这一日益激烈的赛道上与Meta等公司展开竞争； ②Dot由GPT‑6 Astra驱动，能够操作电脑从各种已连接的应用程序中提取信息，用以开展研究、起草文件、开发软件等。 财联社9月30日讯（编辑 赵昊） OpenAI最新推出了一款全天候在线的智能体“Dot”，欲借此在AI数字助理这一日益激烈的赛道上与Meta等公司展开竞争。 OpenAI首席执行官萨姆·奥尔特曼（Sam Altman）在公司开发者日活动上发布了这款新工具，同时公布了更新版Sol模型，以及一个供团队与AI协作的工作空间。 OpenAI在新闻稿中表示，Dot由GPT‑6 Astra驱动，能够操作电脑从各种已连接的应用程序中提取信息，用以开展研究、起草文件、开发软件等。 用户可以通过ChatGPT向Dot发送消息或直接与其通话，也可以通过Slack或微软Teams向它发送消息；未来，用户还将可以通过短信与其互动。 OpenAI称，其工程师目前已经在使用这款虚拟助手，每天修复数十个软件漏洞。 “这让你可以根据自己能够接受的程度，把尽可能多的责任交给你

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65 security controls. Much of this functionality was already possible through Codex and similar agentic harnesses — but Dots bundles together those features in a new package with a focus on independent agentic actions. The branding also presents a bubbly, cartoonish persona, similar to Meta’s recently released Muse agent. The Dots look like … well, dots. The little floating cartoons are a makeover for OpenAI’s software and are the latest example of a company attempting to make AI more relatable.

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seemed like a possible outlier in the Hugging Face case was really the first pulling of the string, with reports coming out seemingly every week of agents from OpenAI, Anthropic, Meta, Google, and others breaking free of their isolated environments and attacking third-party infrastructures and websites, including those with government agencies in the United States and Australia. Vendors in their assessments of the incidents also indicated disturbing agent behavior, such as collaborating with ea

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m-heavy IPO filing leaks The U.S. federal government gets an AI front door LATEST DEVELOPMENTS Image source: OpenAI The Rundown: OpenAI just introduced dots, always-on agents like Meta’s Muse that can keep working 24/7 from a cloud computer — leading a 20+ feature DevDay launch slate that also includes GPT-6.1 Sol, shared team workspaces, and an Ultrafast mode. The details: Each dot can plug into over 4,000 apps and reply in Slack, Teams, or ChatGPT, with conversations that don’t count against C

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真是……真是绕了好大一圈啊。 刚刚，9月1日才宣布恢复独立运营的Manus，发布了回归后的首个大版本更新—— Manus 2.0 。 是的，没有改名，还叫Manus，只不过是 2.0 。 新的Agent底座、新的创作工作台，还有一款全新的个人Agent应用，一口气都来了。 从被Meta收购，到拆分、恢复独立，这个曾经把通用Agent带到聚光灯下的名字，如今重新带着一整套产品出场。 其中，桌面端升级成了Manus Studio，能剪视频、做游戏，人还可以随时接手修改； 新应用Cue则给Agent配上邮箱、电话号码、钱包和电脑，几个助手还能拉进一个群里办事。 虽然这次面向海外用户发布，但Manus同时透露，面向国内市场的产品也正在筹备，团队正在组建。 除开发布本身以外，Manus 2.0的发布时间节点也颇有意思。 就在“老东家”Meta的个人Agent Muse登顶美国App Store免费榜10天后，恢复独立的Manus带着2.0和Cue回来了。 曾经的收购方和被收购方，如今在Agent赛道上成了对手。 蝴蝶飞过沧海，继续翻山越岭～ 先说这次的新应用，个人Agent， Cue 。 Cue

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ta, this setting carries over to your interactions with the agents. Personal agents are currently having a breakthrough moment. While this year started with early adopters in Silicon Valley latching onto tools like OpenClaw , the recent release of Meta’s Muse agent reached a larger user base that is now experimenting with personalized agents. Muse rocketed to the top of smartphone app download charts, but Dots has come for Meta's lunch. This is a developing story. Please check back for updates .

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(128 GB), AMD Ryzen AI Halo (128 GB), MacBook Pro M5 Pro (64 GB), and NVIDIA GeForce RTX 5090 (32 GB). These have been selected to cover a range of platforms (CUDA, ROCm, Vulkan, Metal), memory capacities, and bandwidths. We will be expanding the featured hardware to include x86 (and other) laptops, AI-focused graphics cards such as the RTX PRO 6000 Blackwell, and more, to give consumers a well-rounded view of performance across different hardware types. The models featured at launch are: Qwen3

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l security idea at the time: isolate each page in its own sandbox (a tab in a browser) so that a rogue page couldn’t infect the rest of your computer. Amazon, Google, Netflix, and Meta were all built on this trust layer. Security and safety for the internet enabled online commerce, connection, gaming, and so much more that wouldn’t have been possible before. Security and safety didn’t slow the pace of innovation—they allowed it to accelerate. Several frontier labs have recently reported versions

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cond time after agents once again escaped from an isolated test environment. OpenAI isn't the only lab dealing with this. Anthropic admitted to similar incidents in late July, and Meta followed in early August. It also recently came out that Google's Gemini hacked three real companies during a test back in May. OpenAI, Anthropic, and outside researchers are now reviewing tens of thousands of other cases . According to OpenAI, many of them are just routine research activity. Nvidia's technology i

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ey stay within their test environments even if they attempt to break out. The release follows a string of hacking incidents involving AI models from Anthropic, Google, OpenAI, and Meta that bypassed security controls to escape their testing environments and access real-world systems. The first and most prominent example occurred this summer when OpenAI agents breached Hugging Face while trying to complete a cybersecurity task. And the hits keep on coming — OpenAI published a new site dedicated t

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a FSD的智驾系统。 此外，团队里还有两位灵魂人物。 1、占方能 。 香港科技大学助理教授、World Mind Lab负责人，长期研究世界模型和物理AI。 2、 季马泽宇 。 00后青年科学家，研究方向横跨3D感知、灵巧操作和人形机器人全身控制。 加入Simate前，他还是硅谷Assured Robot Intelligence的创始成员。 ARI后来被Meta收购。 资本市场，也已经用真金白银投票。 成立仅三个月， Simate 连续完成 多轮每轮数亿元人民币融资 。 而这一切，都是在押注同一件事—— Physical RSI。 Simate从创立第一天便瞄准了这个方向，并且定义了三种不同类型的RSI。 1、弱SI：边界明确，快速闭环 人机共驾模式，研究员设定目标与约束，正常执行过程中不再需要研究员逐步参与，异常可以升级处理。 这次登顶RoboDojo，就是第一阶段的工程验证。 2、中SI：方向明确，但答案未知 怎么改善模型记忆？某类任务的数据比例到底怎么配？ 方向已经有了，但具体哪个方案有效，还得靠多轮实验去找。 这时候，Agent负责整理上下文、实现方案、跑实验、比较结果；研

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杯，Skild这条看似疯狂的技术路线并非横空出世。 把这些想法从论文一路推向真实机器人的，是两位在机器人学习领域深耕多年的卡内基梅隆大学教授。 两位CMU教授，联手造机器人大脑 Skild AI成立于2023年，脱胎于 卡内基梅隆大学（CMU）机器人研究体系 。 团队成员既包括来自卡内基梅隆大学、斯坦福大学、加州大学伯克利分校等高校的研究人才，也包括曾任职于Meta、Tesla、NVIDIA、Google、Amazon和Everyday Robotics等机构的研究员及工程师。 而联合创始人兼CEO Deepak Pathak 的经历，几乎串起了Skild AI的整条技术路线。 他本科毕业于印度理工学院坎普尔校区计算机专业，后赴加州大学伯克利分校攻读计算机博士，师从计算机视觉领域知名学者Alyosha Efros和Trevor Darrell。 博士毕业后，他曾在Meta（前Facebook）AI Research从事研究工作，也曾在伯克利与机器人学习专家Pieter Abbeel合作，担任访问博士后。 此后，他进入卡内基梅隆大学，成为机器人研究所和机器学习系教授。 Deepak Pa

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st as Office defined work for the PC era, the new Copilot is built to define it for the AI era,” says Spataro. That might well be Microsoft’s goal, but there’s a lot more competition in this AI era than there ever was in the PC era. Microsoft has certainly fallen behind the likes of Google, OpenAI, Anthropic, and now Meta, and it’ll be interesting to see if “the AI built for work” is enough to help it catch up. Update, September 25th : Article updated with Microsoft CEO Satya Nadella’s comments.

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ce. Traces from a multi-turn session are linked into a thread. That structure gives engineers the full execution tree, including nested runs, timing, retries, inputs, outputs, and metadata. When you need to understand exactly how something executed, the trace is the source of truth. But not every workflow needs the full execution tree, and that's where trajectories come in. A trajectory is a projection over the traces in a thread. It removes the nested run structure and keeps the messages and ac

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ing 80+ pro-grade tools across imaging, design, video, and documents. New interactive editors let you hands-on edit PDFs and Adobe Express designs directly inside Claude . Muse at Meta Connect - Zuckerberg is going all in on Muse, Meta’s personal AI assistant. It can now use any app on your Mac, buy for you via Walmart, Best Buy & Sephora and it’s getting its own email address so you can CC it on threads. It’s also coming to Meta’s glasses in the next few months. Zuck says Muse stays free for “a

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as an MCP result. To inspect that on the wire: Why serve MCP from the gateway Discoverable. Connect your gateway to API hub and its MCP server is published there with MCP-specific metadata and appears in Agent Registry automatically, so agents and developers can find the tools it exposes; Nothing new to operate. Your existing spec, gateway, authentication, quotas, and logging do the work — MCP and REST traffic stay consistent because they share one policy path The Public Preview covers REST and

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missed its bandwidth target. The following example shows how a certification names its targets and the categories to run. apiVersion: nvcre.nvidia.com/v1alpha1 kind: Certification metadata: name: gpu-cluster-cert spec: target: nodeSelector: nvidia.com/gpu.present: "true" categories: - domain: communication variant: nccl-all-reduce - domain: training variant: nemotron5-8b $ kubectl apply -f certification.yaml $ kubectl get certifications.nvcre.nvidia.com -w The built-in catalog currently covers t

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