搜索“Agent”

ng data right where it’s stored. DuckDB reads the open formats like Parquet and Iceberg already sitting in your data lake, so there’s nothing to convert or move. As folks build AI agents into their apps, the data their agent needs will depend on the task in front of it. Being able to query that specific data live, instead of copying it over just in case, is gonna be a big help for builders. https://t.co/R8h2Hcp1K7 DuckDBは小型で高速なOLAPエンジン Amazon Aurora PostgreSQLに統合されたDuckDBは、SQLiteのようにアプリケーションに組み込

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一步。 这次和Utopai X一起亮相的，还有全新的 制片平台PAI ，模型就嵌在里面，导演在一个工作台里，就能从剧本一路推进到剪辑。 整个流程大概是这样的，导演把剧本丢进去、选好风格，系统就会自动拆出场次和镜头，角色、场景，以及每个镜头的多个版本，全都摊在一张画布上。 其中比较有意思的一个功能，叫做 影响检查 。 比如导演想在两个镜头中间临时插一个新镜头，Agent会先跳出来提醒——这么一插，后面两个镜头里人物的视线就接不上了，并顺手把它们标成需要重新生成。 至于改哪条、留哪条，最后拍板的还是导演。 而且这套东西已经用在真实项目里了，像 NBA球星哈登 那支以招牌胡子为主角的动画短片，就是先由人定好故事和剧本，再用PAI生成出来的。 今年9月，Utopai又和联合开发了多款宝可梦游戏的日本知名移动游戏与娱乐公司DeNA合作，开始一起探索AI辅助的动画制作流程，这也是PAI商业化的典型案例之一。 当然，对于一家影视公司来说，真正要拿出来见观众的，还得是院线作品。所以接下来，我们就来看看Utopai手里的片单。 首先是 《Cortés》 ，故事发生在1519年，西班牙人科尔特斯进入阿兹特

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Meta runs about 40M problems a day; P99 is 12s on 265k objects and 3.2k bins; Apache 2.0, C++ and Python APIs, installable from PyPI today [Sponsored] The web is the one API most agents are missing. Databases, calendars and repos have APIs. The open web mostly doesn’t. The TinyFish MCP server gives any MCP client four tools: TinySearch, TinyFetch (full pages as markdown, JavaScript included), TinyBrowser for logins and forms, and TinyAgent for multi-step jobs. Search and Fetch are free. Asif Ra

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You can now connect providers like Linear, Notion, or Slack to your Mastra project with Mastra Connect. Deploy agents that connect to your services from the CLI with a single auth flow. Every connection gives your agents and workflows ready-made tools, such as linear list issues, notion create page, and slack post message. You can manage credentials with mastra connect add, or from the dashboard, and the running app picks up the new tools within seconds. Today, Connect launches with 23 providers

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hat earlier systems may have missed. The company said it will continue adding new signals as it learns more about how these networks operate. Another new tool is a “red-teaming AI agent” that tests Meta’s own safety measures. It looks for weaknesses that bad actors could use to get around the company’s protections. Meta said this could help it find new methods of abuse before they become more common. Additionally, the company is improving its systems for finding people who return to its platform

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mobility data, and foundation models — such as AlphaEarth Foundations and our Population Dynamics Foundation Model (PDFM) — and pairing them with a prototype Geospatial Reasoning agent, we help communities uncover the complex connections between people and their environments. This enables researchers and public health officials to complement existing health information, bridge reporting gaps, and address health challenges proactively. Bringing agentic capabilities to the front lines Acute healt

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Cohere turned its enterprise platform into a control center for AI agents with North 2, handling multi-step workflows on their own and retaining context across sessions. A revamped orchestration system coordinates agents that tap into shared knowledge libraries and reusable skills while connecting to tools like Slack, SharePoint, and Jira. North 2 also generates presentations, dashboards, and simple apps straight from text prompts in the chat. Companies can run the platform on-premises, in the c

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Together AI has released Together Link, a free, MIT-licensed CLI now in beta. It connects the coding agents developers already use to open models hosted on Together AI. Supported tools include Claude Code, Claude Desktop, Codex, ChatGPT Desktop, OpenCode, and Pi. The idea is simple: keep the harness, swap the model, and shrink the bill. Is it deployable today? Yes. It installs with one command on macOS or Linux and needs only a Together API key. It is in beta, so commands, routing, and the model

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Coding and agentic workloads are asking more of AI models than ever: refactor a repository spanning hundreds of files, sustain a multi-hour agentic workflow without losing context, and reason through complex systems problems with tool use at every step. Meeting those demands with open-weight models has historically meant provisioning and operating your own inference infrastructure. GLM 5.3 from Z.ai (Zhipu AI) is now available on Amazon Bedrock. GLM 5.3, as published on Hugging Face Hub, is a 75

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We evolve the prompt from the bot's own logs, with a SOTA LLM agent and human supervision. No training. Against a scripted fighter at full skill, v1 lost every round; v9, under two hours later, won every one. https://t.co/c68fQRQd3v

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Last week we let Jev play Minecraft. 1,795 rounds later, here's how it works, and it's fully open source 🚀 - 🧬 Prompt evolution, no training: a SOTA LLM agent with human supervision evolves the prompt - ⚡️ 24 ms per decision on NVIDIA Blackwell, 2.5x faster than a leading inference engine - 🎮 Jev won 70% of Block UHC rounds against real people

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Instinct, the AI agent now valued at $10 billion as of its latest funding round, is expanding into group chats. The startup announced on Monday that users will be able to add the agent to chats with friends, which could be helpful in certain scenarios like travel planning, snagging event tickets, running fantasy leagues, organizing carpools, or managing who’s bringing what to Thanksgiving. Notably, the group chats with the AI agent will work even if a user’s friends haven’t joined Instinct, the

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s launching an AI shopping assistant and a new in-app checkout feature that lets users buy directly from brands. TikTok describes its new Shopping Assistant as a conversational AI agent designed to help users discover and purchase products. The company says the assistant understands context and remembers users’ preferences and needs throughout the conversation. It offers real-time, AI-powered shopping guidance, such as product details, shipping information, sizing, availability, and helping comp

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ting them? HackerRank , a platform used by companies to assess and hire developers, is offering a glimpse at what that future of job interviews could look like with Chakra , an AI agent that conducts interviews, observes candidates as they work, and evaluates not just their answers but also how they got there. After around six months in beta, HackerRank is making Chakra generally available to its customers on Monday. The startup says the AI interviewer has already conducted more than 500,000 int

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在DeepSeek Harness中无缝运行；如果认为这是一个值得投入的目标，从技术上看，未来有可能做到。 DeepSeek Harness的核心理念是“一切皆插件”：崔添翼表示，这个理念是从立项之初、写第一行代码之前就确立下来的，正如“开源”的理念是从DeepSeek成立之初、发布第一个模型之前就确立下来的一样，“开源是我们的初心，不是被迫开源的。让我们的Agent Harness产品以开放、开源的方式具备尽量极致的可扩展性，也是我们的初心，并不是被迫或模仿别人才做开放可扩展的。” 崔添翼提到，自己每天工作的相当一部分时间都用于为DeepSeek招人和面试，DeepSeek的目标是实现AGI，DeepSeek Harness组的目标就是从Harness的角度推进AGI。 在他看来，只有做创新的事情才是真正“推进AGI”的事情，“如果我们抄一个Claude Code，或者抄一个Codex，做一个和其它某些Agent Harness从技术理念到用户体验上都没啥区别、完全差不多的产品，那一定不是推进AGI的事情。” “推进AGI的事情一定是创新的事情。这次Claude Code Mods的

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在DeepSeek Harness中无缝运行；如果认为这是一个值得投入的目标，从技术上看，未来有可能做到。 DeepSeek Harness的核心理念是“一切皆插件”：崔添翼表示，这个理念是从立项之初、写第一行代码之前就确立下来的，正如“开源”的理念是从DeepSeek成立之初、发布第一个模型之前就确立下来的一样，“开源是我们的初心，不是被迫开源的。让我们的Agent Harness产品以开放、开源的方式具备尽量极致的可扩展性，也是我们的初心，并不是被迫或模仿别人才做开放可扩展的。” 崔添翼提到，自己每天工作的相当一部分时间都用于为DeepSeek招人和面试，DeepSeek的目标是实现AGI，DeepSeek Harness组的目标就是从Harness的角度推进AGI。 在他看来，只有做创新的事情才是真正“推进AGI”的事情，“如果我们抄一个Claude Code，或者抄一个Codex，做一个和其它某些Agent Harness从技术理念到用户体验上都没啥区别、完全差不多的产品，那一定不是推进AGI的事情。” “推进AGI的事情一定是创新的事情。这次Claude Code Mods的

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You can now steer Cursor SDK agents while they run. run.steer() adds your message to the next turn. If a subagent is mid-task, it moves to the background and keeps working. https://t.co/1GHeV6kfKC

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ンでコンテナ型仮想マシンを実行可能にする「Cloudflare Containers」をAIエージェント向けに刷新したことを発表しました。 これまでよりも起動速度が6倍となり、環境構築が容易になるようにファイルのスナップショット機能などが追加されました。 Cloudflare Containers now start 6x faster, let your agent choose each sandbox's image and instance type at runtime, and support filesystem snapshots in public beta, all controlled from a Durable Object. https://t.co/mdKedS60sU BirthdayWeek— Cloudflare (@Cloudflare) September 30, 2026 Cloudflareは以前からCloudflare Containersを提供していますが、これまでのCloudflare Containersは人間のソフトウェア開発者によ

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Summary Together Link connects the harness your team already uses to the best open models on Together AI and cuts your spend by over 50%. Same agent, same workflow, a fraction of the bill. Coding agents are now commonplace for engineering teams, and every task you give them, from a one-line fix to a full rewrite, often runs on the same premium model. At scale that gets expensive quickly: engineering orgs are spending anywhere from tens of thousands to millions of dollars a month on closed models

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test group of advertisers. The ads will also be clearly labeled and won’t influence the answers ChatGPT provides, the company notes. The move follows the launch of Meta’s Muse, an agentic AI app which is free to everyone and a growing competitor for leading AI chatbots, like ChatGPT. OpenAI introduced ads earlier this year to support its free and low-cost subscription tiers, and expanded them to India in August. Now, the plan is to woo online advertisers who want to appeal to their potential cus

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