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e to the system. If your prompts already work for simple queries but break down with complex, multi-step, or domain-specific requests, these patterns will help you close that gap. Metadata-driven retrieval In enterprise environments with extensive documentation, metadata improves retrieval precision. Reference specific documents by name, clarify acronyms and internal terminology, and specify which spaces or knowledge bases to search. Enterprise jargon and acronyms can confuse retrieval systems.

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Quick Sight, or Quick chat agents); Apply the component-specific patterns from this post to real workflows; Create reusable prompt templates Week 3: Advanced techniques Implement metadata-driven retrieval in your knowledge bases; Build a custom agent using the ARCHITECT framework; Create a complex Quick Flow with conditional logic Week 4: Scale and share Document your most effective prompts in a shared library; Train team members on successful patterns; Establish feedback mechanisms for continu

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to understand intent, not match strings. This pointed directly to vector embeddings that capture semantic meaning across modalities (visual, audio, and transcript). Human-authored metadata alone could not provide that level of understanding. Second, the video library was large enough (over 140,000 videos) that any solution needed to separate the expensive, compute-heavy work of generating embeddings from the low-latency work of serving search results. A monolithic architecture would force a trad

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talking through a scenario building fictional music app. Holly has a Dot called "Dottie", which has access to ChatGPT, Slack, Teams, and more. 10:12 This UI really does look like Meta's Muse agent, currently still at number one on the iOS App Store free list. 10:13 Live demo! "Dottie is having a slow morning" - we got a "still checking" and an embarrassing silent moment. 10:14 Now we're in ChatGPT Space. It has a Notion-style slash menu. 10:16 People at OpenAI started delegating to their Dots d

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old me: “We actually moved other big Shopify apps to the New Architecture. Shopify and Point of Sale were both migrated, and I believe we were one of the first large teams outside Meta to do it.We got some performance gains with this migration, but they were modest. App startup got about 10% faster on Android and 3% on iOS, and some complex screens actually got slower until we tuned them.” The team has written in detail about the move to New Architecture. Nonetheless, being on native code provid

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ything actually happens with the chips, making the trillion-plus dollars spent on capex so far seem somewhere between optimistic and utterly incoherent. Microsoft, Google, Amazon, Meta, Oracle, and far too many other companies have been hoarding hundreds of billions of dollars of AI chips that they either (to quote Microsoft CEO Satya Nadella) can’t plug in or simply want to have in supply for reasons that I find tough to imagine. Even the argument that they’re in reserve for the (eventual) day

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agreed to pay Alabama at least $100M to settle allegations it hooked children and misled users about safety. Nothing’s $399 Headphone (1) Pro takes on Apple, Bose, and Sony with a metal-and-glass design, triple drivers, and upgraded noise cancellation. The Trump administration slashed the 2031 fleetwide fuel-economy target from 50.4 to 34.9 mpg and will end automaker credit trading in 2028, easing pressure to build EVs. Sony will skip CES 2027, ending decades of regular appearances as it shifts

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with early access to a select number of customers in early September, which will be plugged into future Marble versions apparently. Yann LeCun, who used to head up AI research at Meta Platforms, is also up to something in the world model space with his AMI Labs startup. However, this deal is as much about buying a team as it was buying a product, just like the $40 billion acquisition of Xilinx and the Fei-Fei Li, who was chief executive officer at World Labs and is now chief scientist at AMD, h

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bsites. News outlets have a tendency to exaggerate what’s hacking or not, but here’s the official link to follow if you wanna keep up with the dirty deeds by these agents. The new Meta Enterprise Platform sells Muse and Meta’s AI APIs to companies. Zuckerberg got MongoDB’s CEO to run this new platform ( MongoDB’s stock fell about 20% ). Share Ben's Bites Eleven v4 by ElevenLabs - best speech-generating model by quite a margin . Let a subagent build you an HTML dashboard to check for progress on

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为潜在攻击做好准备。（Gizmodo）+ 但黑客表示他们不会公布窃取的数据。（404 Media） 4 佛罗里达州已请求法院阻止 OpenAI 开发新模型 该州希望为新 AI 设立独立的安全护栏。（Politico）+ 它还旨在禁止 ChatGPT 表现得像个人。（Verge）+ 与此同时，众议员 Khanna 已提议禁止自我改进的 AI。（CNBC） 5 Meta 的 AI 智能体未经许可邀请陌生人到用户家中 Muse 在协商一笔 Marketplace 交易时分享了该地址。（Guardian）+ 当 AI 智能体失控时，谁来负责？（MIT Technology Review） 6 旧心脏在移植后似乎变得更年轻 这一发现可能扩大可用供体器官的范围。（Nature）+ 但年轻器官未必是青春之泉。（MIT Technology Review） 7 特朗普已敲定一项降低汽车燃油效率的规定 新规大幅削弱了拜登时代的燃油经济性标准。（Verge） 8 数学家利用随机性破解了一个有55年历史的问题 该解法补全了1971年提出的一项证明。（Quanta） 9 太空激光即将在两艘航天器之间传输电力

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igence, where you have hundreds of millions of people around the world painstakingly labeling data, even pretending to be chatbots. Right. 404 Media recently reported that the new Meta Muse chatbot, when you go to use that for some use cases, actually has a person on the other end responding. Yeah, very simple. Data transparency, labor exploitation, you should not be able to steal data from people. Even the first three things I talked about, data transparency, documentation, labor exploitation,

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same starting harness, policy, evolve split and candidate budget. Per the RRSI research team. OOD average is the mean of JobBench, GDPval and APEX-Agents, computed from Table 1 . Meta-Harness leads on the Harvey LAB evolve split. RRSI has the smallest evolve gain but the only OOD average more than 1 point above H0. git clone https://github.com/google-research/rrsi.git && cd rrsi pip install -e ".[dev]" python3 rrsi.py --domain coding baseline python3 rrsi.py --domain coding run Each round draft

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spend. Nvidia released an open blueprint that walls off AI agents and watches them from chips they can't reach, coming in response to reports of agents escaping test environments. Meta launched the Meta Enterprise Platform, a new business unit selling its Muse models and agents to companies, led by former MongoDB CEO CJ Desai. Manus debuted 2.0, its first major upgrade since China blocked Meta's $2B takeover, adding a video editor, game builder, and a personal agent with its own number and email

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code and training environments . @teortaxesTex notes its RL gains don’t generalize to harder math evals. Other releases : Grok 4.7 debuted at 16 in Agent Arena at $1.14 per task. Meta’s Muse Spark 1.3 is available on GCP and Oracle , and Spark 1.4 has appeared on OpenCode . Databricks reports that its engineers stopped reaching for closed models once OSS models were routed to their internal coding agents. TypeSafe’s Jev : TypeSafe is reportedly raising $1B+ at a $10B+ valuation , a week after a

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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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