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ons, Add application, I have an application I want to set up, SAML 2.0, and then Next; Fill in the following details: Display name: AgentCore Web Search; Select Manually type your metadata value. ACS URL: https:// .auth. .amazoncognito.com/saml2/idpresponse; Audience: urn:amazon:cognito:sp: ; Download the SAML metadata XML file and choose Submit; After the application is created, edit the attribute mappings and insert the following values: Subject, ${user:subject}, Format: Persistent; Email, ${u

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t exist in the data Three techniques address this: Phrase caveats as un-strippable bracketed suffixes repeated at several payload levels, not leading labels that read as removable metadata; Supply the data that makes the honest answer the easy one. Compute real aggregates over every record and hand them to the model. A model that has the real number doesn’t need to guess from a sample; Repeat mode labels at multiple structural levels (field, string, summary) so that at least one survives paraphr

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he chipmaker agreed to acquire World Labs for $8.2 billion, expanding its ambitions beyond AI infrastructure and into models and robotics. Related:The context factor for AI agents Meta carves out enterprise offerings, brings in new leadership: The social media company is separating its enterprise AI business and bringing in new leadership as it looks to build a larger presence in the corporate market. Microsoft transforming Fabric into AI's foundational layer: The tech giant is positioning Fabri

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工作，后来又在 MIT 找到了我的 Omar。他是个很棒的导师。不过我要说，我发现研究生或学术界最成功的研究，往往出现在人们关心那些产业里大多数人可能不看的问题时。我觉得问题就在于，很多研究生做的东西是为了对产业实验室有好处、看起来好看。比如，他们会做某个现在很流行的基准测试。我觉得 2023 年的基准测试和现在是完全不同的情况。有很多人做 harness、meta-harness，以及针对 XYZ 任务的特定 harness。你仔细想想，有人做这个的原因，可能是因为围绕我们今天的模型有一个清晰的目标，就是“这是我想看到的”。但比如，我拿 RLM，也就是递归语言模型那篇论文举例，因为我觉得它是个超级简单的想法。我觉得它刚出来的时候，很多人看到这种东西会说：“这到底有什么意义？” Swyx [00:16:27]：或者说太酷了。 Alex Zhang [00:16:28]：是啊。就像为什么，什么？这不就是子智能体之类的吗，对吧？ Alex Zhang [00:16:32]：我觉得当你得到这样的反应时，这几乎是个好迹象，因为很明显人们没有在思考它的目的是什么。我再举一个例子，比如 SWE-b

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macy. Leah Feiger : But is Mark Zuckerberg that relevant? Brian Barrett : Yes. 100 percent. Zoë Schiffer : Yeah. Leah Feiger : You think? OK. All right, I'm wrong. Brian Barrett : Meta has the most popular consumer AI agent today. Zoë Schiffer : Not because the AI agent ... They just have distribution, and so Meta's AI can be so popular so fast because they can shove it down everyone's throats, and that's exactly what they're doing. And they're basically promoting a free AI agent that they're su

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PT-6.1 Sol模型】 OpenAI推出GPT-6.1 Sol模型，其性能接近Astra，但标准词元价格仅为Astra的五分之一。同时推出全天候自主智能体Dots。并表示，将于未来数日推出GPT‑6.1 Sol超快版。 Dots可跨应用自主推进用户设定的目标，基于GPT-6 Astra模型，用户可通过Slack和Teams与其沟通。报道称，这一产品意在与Meta争夺可自主工作的AI市场。 【特斯拉签署300亿美元融资安排 包括循环信贷和延迟提款贷款】 据美国证交会（SEC）文件显示，特斯拉签署多项融资安排，包括200亿美元三年期延迟提款定期贷款额度、80亿美元五年期循环信贷额度以及20亿美元364天循环信贷额度。文件显示，特斯拉同时终止原有循环信贷协议。新的五年期循环信贷额度允许开立最高5亿美元信用证，三年期延迟提款定期贷款额度将于2029年9月29日到期。 巴克莱：若生产率增长持续加快 美国30年期国债收益率或升至6% 巴克莱资本(Barclays Capital)美国利率研究主管在报告中表示，美国30年期国债收益率有升至6%的空间，因为本月美债市场的抛售尚未计入生产率增速持续上

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y. Pro costs $0.12 per 1M text tokens. Fast costs $0.08. Image inputs cost $0.40 per 1M tokens on both. Embed 5 can embed a page image directly. It can also fuse an image with its metadata into a single vector. That is important for scanned pages, slide decks, schematics, and charts, where text extraction drops information. Cohere tested every corpus and query pairing across 40 development datasets. Normalized to Pro plus Pro at 100, a Pro index queried with Fast scored 98.4. An all-Fast setup s

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ystems. We showed how Amazon S3 Vectors, a capability of Amazon Simple Storage Service (Amazon S3), meets the architectural requirements for agent memory: semantic retrieval, rich metadata, strong consistency, and elastic scale. In this post, we move from architecture to implementation. We show you how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS) for full operational control. By the

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field is result, question, or error. The platform additionally threads session id and job id through every response so continuation turns can be correlated. Those are correlation metadata, not part of the core contract your agent must implement. When the agent returns interrupted, the platform moves the job into interrupted status and sets its requiresAction flag to true. The reference React frontend surfaces these on the Interrupted tab of the Jobs page with a warning indicator on each row, so

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要点 1. 科技巨头不计代价发债，挤占长期资金 截至8月，五大云厂商今年发债量逼近2300亿美元，超去年全年两倍，其中大量为20-40年期；Meta、Alphabet等不顾利率锁定长钱，对价格不敏感，因笃信AI回报远超利息成本。 2. 反向挤出效应推高美债收益率 科技长债收益率（如Alphabet 30年期6.4%）吸引有限的长线资金，迫使国债提高收益率争夺买家；野村估算科技巨头借走约2000亿美元长期资金，占财政部中长期国债发行量的四分之一。 3. AI繁荣反而削弱政府税基 美国联邦收入超75%来自个税和社保税，AI压缩劳动收入与就业，导致工资总额及相应税收下降；《大而美法案》让科技巨头通过折旧大额减税，公司所得税收入本财年前11个月同比暴跌四分之一。 4. 财政缺口迫使AI利润面临重税 税收萎缩叠加赤字膨胀（本财年前11月赤字超2万亿美元），政府开支反因再培训等膨胀；唯一增长的税源是AI利润，越成功越容易被征收重税以弥补财政缺口。2026-10-03 20:52AI正在让美债崩溃，即便最后成功也将被征收重税华尔街见闻速览 本文来自微信公众号： 华尔街见闻 ，作者：乐鸣 9月24日，

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老股东跟投。 当时，Instinct已经因为依赖过度授权，陷入巨大争议。但这并不能挡住资本押注下一代AI应用的热情。 仅仅不到2个月后，Instinct就宣布完成了C轮融资，估值100亿美元（约合人民币670亿元），由红杉资本、Benchmark、Coatue领投。 短短2个月，估值翻了4倍。全职员工只有14个人，AI浪潮中，又一个00后造富神话。 9月初，Meta也宣布发布新智能体Muse，上线不到两周，Muse就登顶美国App Store和Google Play免费应用榜。因为这款应用，Meta市值增加了数千亿美元。 相比之下，即便两个月估值翻四倍，Instinct也显得很“便宜”。有Muse和Instinct打底，看来AI应用这把火，又要烧起来了。 Instinct由Spear Street Technology公司推出，创始人是只有23岁的Noah Shinn。 按照公司的说法，Instinct可以“高效地管理用户的生活”：用户把邮箱、日历、短信、位置等权限授予它，然后通过iMessage、WhatsApp发短信，或者直接打电话下达指令，剩下的交给它来办。 具体来说，买菜、订演

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otuning to end users. This favors performance and maintainability over out-of-the-box usability, but Helion’s automated tuning framework makes the additional optimization step practical for performance-sensitive deployments. Acknowledgments This work was supported by many contributors across the OCTO and vLLM teams at Red Hat, as well as the Helion team at Meta. In particular, we would like to thank our colleagues: Richard Zou and Jongsok Choi for their feedback and support throughout this work.

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Odin’s Dan Gray illustrates how the VCs with the most capital behind them have typically backed the most unicorns. Salesforce agrees to buy Listen Labs for reportedly $2 billion. Meta poaches MongoDB’s CEO. OpenAI decides to scrap plans for its Astra rollout over safety concerns. Vinod Khosla fires off against a founder he invested in after two of his portfolio companies, Factory and Cognition, brawl over a poached leader. Instinct rakes in fresh funding from Coatue at a $10 billion valuation.

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excoco, Iztapalapa, the Aztecs broke the dikes in the lake and flooded the city, which took out a number of the conquistadors and their allies. In that environment, of course, the metal armor works to the disadvantage of the conquistador. It drags them to the bottom. If they’d waited until nightfall when the Spaniards were sleeping, they might have bagged all of them. The Inca too, later, when the conquistadors moved on Ollantaytambo, flooded the river. They allowed it to burst its banks and aga

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omputations. Rowwise expert parallelism places routed data directly into expert input buffers, minimizing the extra work needed to rearrange it. GPU-resident routing keeps routing metadata on the GPUs, so the CPU can queue work without waiting for that information to be copied back. And grouped GEMM combines many small expert computations so GPUs can execute them more efficiently. Finally, Olmo-core 3 supports MXFP8 , a lower-precision number format that represents some values with fewer bits. T

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至更多。基本上，开发商付钱买的是速度。你的推销词基本上就是，“我有土地，已经拿到许可。你只需要建数据中心、把芯片放进去，就可以开工了。” 这样做的一个后果是，你会看到大量的公告。很多开发商的公告说，“我这里有一个10吉瓦的设施。我们要建这个巨型设施，它将成为世界上最大的数据中心。”这种情况不仅发生在Kevin O'Leary身上，而且他们基本上是在说，“嘿，Meta，如果你想参与进来，你可以拥有世界上最大的数据中心。你可以在这里拥有一个10吉瓦的设施。”它有这样的电力容量，也许它有相应的许可，也有相应的实际占地。这并不意味着我们有资金去建一个10吉瓦的设施或类似的东西。所以，外面有这些所谓的纸面数据中心，但这是更广泛的竞赛动态的一个症状。 他们在尽可能快地推进。超大规模云厂商想尽可能快地推进。所以，你有开发商在尽可能快地推进。他们在向各州施压，要求尽可能快地拼凑出一个有吸引力的方案给开发商，然后开发商再转手交给超大规模云厂商。 在这条链条的任何一环，当地居民都不是参与者。他们根本不在那里。他们不是这个系统的一部分。所以，你会看到像Stratos这样的情况，根本没人费心告诉Box Eld

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omputations. Rowwise expert parallelism places routed data directly into expert input buffers, minimizing the extra work needed to rearrange it. GPU-resident routing keeps routing metadata on the GPUs, so the CPU can queue work without waiting for that information to be copied back. And grouped GEMM combines many small expert computations so GPUs can execute them more efficiently. Finally, Olmo-core 3 supports MXFP8 , a lower-precision number format that represents some values with fewer bits. T

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用图标。 举办应用葬礼的举动显然带有几分戏谑意味，但Tian认为应用时代正走向终结。谈及从应用到智能体的转变，他说：“说实话，这还需要一段时间，但我认为从方向上看，这是不可避免的。” 正如你可能已经猜到的，这家初创公司背后的核心论点是：用户不再愿意安装新应用。相反，他们希望使用通过自己已经在用的消息应用（如iMessage和WhatsApp）运行的智能体。 Meta的Muse正将这一理论付诸检验，其应用已飙升至应用商店榜首。但即便Muse最终主导消费级AI领域，Tian仍看到了一个市场：服务于那些希望自己的应用能在消息服务上运行的开发者。这正是Photon提供一整套工具的原因，包括统一API、可扩展的渠道框架、命令行界面（CLI）以及可观测性套件。这些工具组合起来，使开发者能够构建和运营可在iMessage、WhatsApp、Telegram、短信或RCS、电子邮件、语音等平台上运行的智能体体验。 Photon的创意源于联合创始人Tian和CTO Ryan Zhu在学生时代构建消费级应用的经历，他们经常参加黑客松。每次完成一个新应用，他们都会遇到同一个瓶颈：如何让人们发现它。通过构建一

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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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onal reasoning. Unlike tabular or unstructured data, graphs preserve the topology of real-world systems: what connects to what and how influence flows. For networks, this is not a metaphor. Networks are natively graphs. Every device, link, open communication channel, and service dependency is a vertex or edge in a structure that can span millions of elements. The question facing operational teams today is not whether to represent networks as graphs but how to let AI agents reason over that struc

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