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ned pages, slide decks, schematics, and charts contain information that text extraction may miss. Embed 5 can embed page images directly (page-image), or combine an image with its metadata into a single vector (fused text-image). On fused text-image corpora, Embed 5 Pro averages 82.3 across five datasets, ahead of Embed 5 Fast at 81.2 and Gemini Embedding 2 at 61.3. Pro outperforms Gemini Embedding 2 on every dataset in the suite. Page image retrieval is also robust: Embed 5 Pro continues to lea

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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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pute obligations and 80 pages of risk factors. OpenAI comparison : OpenAI’s ARR is reportedly nearing $70B . Hugging Face acquired by NVIDIA : @ClementDelangue announced the deal. Meta Muse : Meta launched Muse connectors for small businesses . Proximal : The coding-data startup raised at a $300M valuation with $200M+ ARR . Policy : The White House Accord on Superintelligence saw lab leaders commit to internal controls and audits . UK founders launched an open letter against non-competes and lon

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ay主题演讲后与记者的问答环节中说道。与此同时，他表示，等待太久才进行IPO会“对世界不利”。 奥尔特曼的这番言论出台之际，围绕OpenAI及其竞争对手能否控制自身所创造之物的争议已持续数月。今年7月，有消息曝出，OpenAI一个未发布的模型在OpenAI不知情的情况下入侵了竞争对手AI实验室Hugging Face。随后，OpenAI、Anthropic、Meta和谷歌又接连曝出更多网络安全事件。Anthropic一名员工高调辞职的信件引发了公众讨论：这些系统对整个社会的风险究竟有多大。OpenAI与其竞争对手一道呼吁监管并“控制前沿发展的节奏”。而本月早些时候，奥尔特曼在一次采访中表示，公司今年很可能不会上市。 在DevDay上，奥尔特曼对“控制前沿发展的节奏”究竟意味着什么言辞谨慎，不愿将其称为彻底的放缓。“对我们来说，控制节奏意味着我们把安全和对齐置于能力之前，”奥尔特曼说。但他表示担忧，上市可能会带来一种可能，即“以安全或其他什么名义让华尔街的支持者失望”，而且在“向能力极强的模型转型、并面临一种新的安全要求”之际这样做似乎并不明智。他说，OpenAI将优先考虑安全，以便“自

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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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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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