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hin their LLM abstraction. The integration required no refactoring or pipeline rewrites. Mercury slots into the existing RAG pipeline alongside: Hybrid search; Context builder and metadata enrichment; Query rewriting; SearchAI PreText NLP; Vector and keyword fusion; SmartFAQs; Commerce search experiences The integration preserves everything SearchAI customers already rely on while dramatically improving speed and cost. Outcomes for Enterprise Search Speed that scales. Mercury delivers sub-second

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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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iness Channel，简称CNBC）与青年研究机构“世代研究实验室”（The Generation Lab）联合进行了一次调查。他们访问了1088名18至34岁的美国年轻人，并问了一个很直接的问题：你是否相信那些站在AI浪潮最前沿的企业领袖，会负责任地发展AI？ 调查列出了九位科技界的重量级人物——OpenAI的山姆·奥尔特曼（Sam Altman）、Meta的马克·扎克伯格（Mark Zuckerberg）、特斯拉和xAI的埃隆·马斯克（Elon Musk）、英伟达的黄仁勋（Jensen Huang）、谷歌的桑达尔·皮查伊（Sundar Pichai）、Anthropic的达里奥·阿莫迪（Dario Amodei）、微软的萨提亚·纳德拉（Satya Nadela），以及Palantir的亚历克斯·卡普（Alexander Karp）和彼得·蒂尔（Peter Thiel）。但没有一位得到了多数受访者的信任。最不受信任的卡普，不信任比例达到81%；即使表现最好的纳德拉，仍有65%的年轻受访者对其表示不信任。与此同时，有45%的受访者认为，AI会对自己的职业生涯产生负面影响，只有10

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ter ID. You must have already created an adapter in the destination account using the console or API. You are not required to train an adapter version in the destination. Only the metadata (adapter name and description) must exist. Submit the request through AWS Support and monitor your case for completion notification. After the copy completes, run your test document set through the copied adapter to verify extraction accuracy matches your baseline: aws textract analyze-document \ --document '{

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，智能体安全风险已经呈现多种形态，涉及越权访问、破坏性操作、数据外泄、欺骗隐瞒，以及多个智能体之间的越界协作等不同类型。 一类是越权访问与隔离失效。7月，OpenAI披露智能体在安全评测中突破测试边界，入侵Hugging Face。Anthropic也披露，Claude在评测中访问了真实第三方系统；谷歌9月确认，Gemini曾在5月的测试中访问三个真实网站；Meta则在8月披露过类似事件。 9月25日，OpenAI再次披露，内部研究模型利用训练沙盒中DNS过滤不充分的漏洞，与外部聊天机器人建立了通信。 不过，需要注意的是，这些案例中部分源于评测环境错误开放联网权限，并不能全部归结为模型主动“逃出沙盒”。 另一类风险是擅自执行破坏性操作。4月，搭载Claude的Cursor编程智能体被曝删除软件企业PocketOS的生产数据库及相关备份，造成客户业务混乱，数据随后得到恢复。 数据与访问凭证外泄也是一种风险。OpenAI于9月披露，多个智能体在协作制作工作簿时，因无法互相读取本地文件，擅自将文件上传至公共托管平台。另一起案例中，内部模型为获取其他团队的数学证明材料，将研究员的GitHub访

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t just as agents are increasingly infiltrating our personal lives. While Silicon Valley has been using agents such as Open Claw and Instinct for months to complete annoying tasks, Meta’s newly launched Muse aims to push personal AI agents into the mainstream. Anthromorphizing AI comes with specific risks in a work context. Research from Bedard and her colleagues at BCG found that, when managers were told work was completed by an AI employee, they caught 18 percent fewer errors than when told it

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a short film and gave me his hard drive to help with post-production. It contained more than 400 clips, with no clear way to tell when each was shot. I asked Claude to review the metadata for every clip and group them by timestamp, so they were organized by shoot session instead of sitting in one large folder. Claude also built a spreadsheet listing each clip, its shoot session, the date, runtime, and file size. This saved the hassle of manually reviewing every clip. Jennifer, Tech & Robotics w

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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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r agentic cyberattacks emerged amid fierce lobbying by the AI industry. SB 1047, the California AI bill that was vetoed by Governor Gavin Newsom in 2024 after lobbying by OpenAI , Meta , Anthropic , and the venture capital firm Andreessen Horowitz, proposed a much tougher set of rules. It would have required AI companies to report a broader set of safety incidents (including incidents in which a model acts on its own or slips its controls), undergo annual third-party audits, and maintain a kill

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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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re really doing is measuring and auditing things and AI can do that.” There are reports that Mark Zuckerberg wants managers to have teams of 50 empowered by AI somewhere inside of Meta. This strikes me as not a great idea, but we’re going to see how it goes. Where are you? Are you in classic org chart? Are you at wild ideas? How is this coming together for you? I would say I know both of those people very well. I’m certainly more measured than that and I think the reality of how the world will b

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it never overwrites one someone already set. Admins can also copy a CSV of any recommendation’s keys and owners to hand to a script or an agent. The Security Center works from key metadata, spend, limits, and expiry. It never reads your prompts or completions. Lock keys to your own network The IP allowlist, which used to live in privacy settings, now has its own tab. It controls where a key works. Add the addresses your servers, office network, and CI runners call from, and OpenRouter rejects an

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it never overwrites one someone already set. Admins can also copy a CSV of any recommendation’s keys and owners to hand to a script or an agent. The Security Center works from key metadata, spend, limits, and expiry. It never reads your prompts or completions. Lock keys to your own network The IP allowlist, which used to live in privacy settings, now has its own tab. It controls where a key works. Add the addresses your servers, office network, and CI runners call from, and OpenRouter rejects an

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ay. It blew up on Friday . It was profiled by the New York Times on Monday . And by Tuesday, everyone had forgotten it existed as it drowned in a deluge of slop and spam. Facebook/Meta bought it a month later . In February, a company called StrongDM described what they called their Software Factory. They wrote about this in Software Factories and the Agentic Moment . I posted my own notes at the time, having seen their demo in person back in October. Dan Shapiro called this approach the Dark Fac

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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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As all-in-one AI agents like Meta’s Muse and Instinct take off, Google announced it’s shutting down the Gemini feature known as “ Gems ,” which had allowed users to build custom AI assistants for specific tasks. However, the work users invested in creating the Gems won’t be destroyed. Gems will be automatically migrated to “skills” that can be used across different AI tasks. Details about the change are being shared in the Gemini app, where a message warns users that Gems will become skills star

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e company also plans to release a new version of Haiku — its smallest model — in the coming weeks, although it didn’t give a firm date as to when that would happen. The last year has seen a flurry of new model releases from the major AI labs. Just last week, OpenAI released a number of new models — including enhanced versions of Sol and Luna, its mid-tier and budget-friendly models. Meta also announced a new model , which it said would power an upcoming feature associated with its smart glasses.

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ices aimed at under-16s. (SCMP); Separately, DeepSeek is reportedly betting more heavily on Huawei chips as a way to route around continued U.S. export controls. (The Information) Meta’s own AI agent set off a China-adjacent stock rally, while Unitree’s post-IPO slide kept the humanoid-robot bubble debate alive. Meta’s AI agent Muse topped the U.S. App Store, and investors immediately began drawing comparisons to Manus, the Tencent-backed Chinese AI agent startup; the read-across sent Tencent an

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之列，只可惜他们已搬去了纽约。 此刻Fluidstack在资本眼里的画像，不是云厂商，不是英伟达的客户代理，而是一个“算力撮合与交付”的轻资产平台： 数据中心的壳、电、芯片，大部分靠租，从TeraWulf、Cipher Mining、Hut 8等转型的比特币矿商手里锁定未来十年近1吉瓦的电力，与地产和资本方签长协，再打包成长期算力合同租给Anthropic、Meta、Mistral、Poolside、Black Forest Labs。 营收侧，据一家机构的投资备忘录记载，2026年Fluidstack将在10多个站点运营1.3吉瓦算力，收入6.6亿美元，这个数字是2025年预期值2亿美元的两倍多，2024年实际值的10倍。 关键是，它赚的不是硬件升值的钱，是“把1吉瓦电在正确的时间内接通”的服务费。它的Atlas OS平台几天内能自动化上线裸金属GPU集群，模块化建设的机房约6个月通电，而传统数据中心工期是18到36个月。 Jane Street的另一条路 如果按传统市销率看，180亿美元对2026年预计6.6亿美元收入，是27倍，对一个带着建设风险、电力审批风险和单一客户集中度的生

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his week, in case you missed them: Safety in numbness. On originality, intellectual bravery, and why I take a disagreement with an LLM as a good sign. Your agent, whose interests? Meta’s Muse promises a digital butler. I asked who it really works for. More AI numbers, more clarity? We looked at what companies’ increasingly specific AI claims reveal about adoption. A new essay from DeepMind argues that AGI will not emerge from a single winning AI, but rather through “ cooperative interactions amo

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