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of tasks by work time at level E2. Only 8% of their work time is unexposed. For example, robots with computer vision and suction grippers can do the task “Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling.”³⁰ These robots stand in for workers picking recycling from conveyor belts, so this and other tasks are rated E2. Robots are highly capable at specific tasks for tapers, while for recycling workers exposure is broader, but robots are les

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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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that she was finally ready to unveil Dazzle, the personal AI assistant that raised an $8 million seed round last December , I couldn’t help but wonder if she’s playing copycat to Meta’s Muse, Instinct, and the wave of similar tools that have flooded the market over the past month. But when Mayer finally gave me a demo, Dazzle proved it’s taking a different approach. Instead of building context about you from text-heavy apps like email, calendars, and shopping histories, Dazzle’s AI assistant ge

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65 security controls. Much of this functionality was already possible through Codex and similar agentic harnesses — but Dots bundles together those features in a new package with a focus on independent agentic actions. The branding also presents a bubbly, cartoonish persona, similar to Meta’s recently released Muse agent. The Dots look like … well, dots. The little floating cartoons are a makeover for OpenAI’s software and are the latest example of a company attempting to make AI more relatable.

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Wabi , the AI startup that allowed anyone to use prompts to build apps , is undergoing a slight pivot as demand for AI agents, like Meta’s Muse and Instinct , takes off. The company announced this week that it is now becoming an AI messenger of sorts — but one that’s still capable of making apps to help you get things done. The startup’s founder, Eugenia Kuyda, who previously founded the AI companion startup Replika, described Wabi 2.0 as a “personal agent that does stuff for you and builds the

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Ewen说，尽管Restate可能应用于不同的用例，但客户都有着相同的需求——一种确保在流程中途出现故障时，系统能自动找到自我恢复的方法。 在创立Restate之前，Ewen是广受欢迎的开源流处理框架Apache Flink的联合创造者之一，后来成为Data Artisans的CTO，该公司负责将该项目的商业化。阿里巴巴于2019年收购了Data Artisans，并将其更名为Ververica，Ewen在那里继续担任CTO三年。他与Data Artisans和Ververica的前同事Igal Shilman和Till Rohrmann共同创立了Restate。此前曾在Stripe和Meta担任工程师的Ahmed Farghal在A轮融资时作为第四位联合创始人加入。 该公司打算利用新资金组建市场推广团队、招聘更多工程师，并扩大其旧金山湾区办公室，以便更贴近许多现有和潜在客户。 尽管如此，Ewen坚持认为，Restate的能力很快就会对传统科技公司以外的企业变得不可或缺。 “如果我们快进几年，它就会像数据库一样，成为我认为几乎任何公司都会有使用场景的工具，无论其形态和规模如何，”他说。

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s — otherwise the user will feel like they’ve been spammed. That’s not likely to endear users to the AI agent at a time when it’s competing with agents from bigger companies, like Meta and now OpenAI , which don’t do this. Nice that it is curated and hopefully it’s good but ask me whether I want the recommendations. I just got a random notification for additional equipment based on a future trip which I didn’t ask for and don’t need. Also allow me to curate my own sources as well as the ones you

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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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