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tup that came out of stealth Tuesday with an $8 million seed round. Most new robotics companies are focused on finding the right form factor or developing an AI model that can put metal hands to work. Destro has instead built an AI intelligence layer that lets robots work effectively in logistics settings, in part by also telling the human workers what to do. “A lot of robotics companies started from robotics engineers [asking,] ‘What cool things I can do?’” Destro founder Manthan Pawar, a veter

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本周过后，你或许可以说消费级 AI 正在卷土重来。 Meta 的个人 AI 助手 Muse 及其毛绒玩偶般的吉祥物 Jolly 出人意料地大受欢迎。OpenAI 昨天刚发布的 Dots 似乎也在追逐同样的卡通化个人助手理念。而崭露头角的 Instinct 助手凭借其代理式跑腿服务——专注于预订旅行、餐厅订位或取消订阅——估值达到了 100 亿美元。 看涨的理由很容易成立。代理式 AI 终于变得足够可靠，能够处理日常任务。各公司越来越多地向普通人推销这项服务，而普通人正从中获得真正的价值。如果你是投资者，这看起来非常像 2022 年 ChatGPT 发布时的情形——AI 的原始力量开辟了一个此前不可能存在的产品品类。谁不想分一杯羹呢？ 但前沿实验室对消费级 AI 变得畏首畏尾是有原因的——而且原因并不是技术不够好。即便是极其流行的科技产品，也开始触及消费者愿意支付金额的上限，而且目前尚不清楚更好的模型是否真的能带来更有利可图的消费级业务。结果是整个行业转向 Anthropic 模式，专注于企业合同和逐个垂直领域的扩张。 如果像 Muse 和 Instinct 这样的产品正在逆势而行，那是

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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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, and a tracker showing the “latest edits.” The new featured list showcases digital representations of books that you can spin around, and the most read section also uses the book metaphor with a horizontally scrolling shelf of “book” spines. On the new live edits page, it’s easier to see more of the recent changes at once. Article pages have a few new design tweaks, too, including a nicer-looking format for the tables at the top of articles with key facts and smaller spacing between lines of te

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we willing to bear it?” he said.”I think [disputed purchases] will be less than the fraud in the U.S. today.” With the agentic AI space getting more crowded by the day, Greze gave Meta credit for Muse, which he called the most polished assistant out there “by far.” He added that it was impressive for a company of Meta’s size to build something of that quality so quickly. He was also impressed by Grok Bot, xAI’s agent product. Instinct, despite its hot start, got a cooler reception. Without namin

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r to trigger them. Indirect Prompt Injection Attack Paths SQL Copilot consumes quite a bit of context. That includes database content, T/SQL files, schema information and database metadata. That creates an indirect prompt injection surface. Since my initial research in May 2026 Microsoft has added MCP support by the way. Malicious instructions embedded in content could influence Copilot when another user later asked it to inspect that content. Here is a demonstration showing how a comment in a f

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provides a deployment-friendly artifact for the Dynamo-Triton PyTorch AOTI backend. Figure 3. PyTorch AOTI workflow The exported model package contains the AOTI model archive plus metadata and embedding table files. In the NVIDIA example, the embedding implementation combines DynamicEmb inference embedding tables and NV Embedding Cache that reduces GPU memory usage by storing only the popular embeddings in GPU memory while keeping the entire table in CPU memory. The export path writes layer meta

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ses about doing internal and external red-teaming of AI models for “severe and novel threats” and also “to work toward information sharing” on AI safety issues. Google, Anthropic, Meta, OpenAI, xAI, and Nvidia did not respond to requests for comment. The White House also did not immediately respond. Neil Chilson, a former chief technologist for the FTC, posted on X of the accords that “this is the kind of pledge that the FTC could potentially enforce, if a company materially failed to follow thr

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e a production customer deployment. You build a claims assistant that answers natural-language questions with citations by completing these steps: Ingest claim documents and their metadata from Amazon Simple Storage Service (Amazon S3); Query them in plain language with the AgenticRetrieveStream API; Ask multi-turn follow-up questions; Scope retrieval with metadata filters on attributes such as claim ID and claim type; Add a contextual grounding guardrail to keep answers tied to the records The

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orms certainly have not been open about why a video or post performed poorly. Tools like CrowdTangle, which researchers and journalists used to monitor the most popular content on Meta platforms , have been shut down or restricted . Now, both YouTube and Instagram are effectively promising to give creators personalized advice on how to ride the algorithm. It’s in both the platforms’ and creators’ best interest to shape content for maximum engagement. As I wrote earlier this month , though, what

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t at once instead of being limited to whatever fits in a single context window; Low-level selection. The second agent then reads the backend’s own codebase, its documentation, and metadata (e.g., supported operators), then queries the repository exact tests to run and buckets them into mandatory success or skip. Every decision is recorded with the reasoning behind it; Refinement from real execution. The selected tests run on real hardware. The agent takes a second pass using execution logs that

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lance technology and the people who have died in the borderlands. When Shubnam saw an Instagram video of a Delhi protest they had attended, they realized a content creator wearing Meta smart glasses had recorded them surreptitiously. The mocking reel drew millions of views, along with transphobic abuse and AI-generated memes. Experts warn that many others will experience similar ordeals as smart glasses go mainstream. The risks are particularly acute in India, where covert recording and the circ

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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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nt process to this industrial development that will be sticky even if external trade defenses go up. Look at minerals processing. How did China become the dominant force in global metals and minerals processing? It’s a combination of stories. One is cheap credit. Two, state-owned producers willing to keep committing resources to largely unprofitable lines of business, because there’s enough industrial clustering and proximity to downstream consumer electronics and manufacturing that it still mak

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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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