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星期五141 条

  1. Testing Catalog产品发布
    AI 评分58

    Snaptrude 发布 Snaptrude Agent,可将设计简报转为施工级 3D 模型

    Snaptrude 发布 Snaptrude Agent,可将设计简报转为施工级 3D 模型,涵盖结构、MEP(水暖电与暖通)和图纸。该智能体先给出计划再建模和绘制图纸,其添加的内容均可继续编辑,建筑师可随时接手。据其创始人介绍,早期访问阶段已有 2000 多名设计师通过该智能体运行超过 25000 个任务,团队同时发布了面向 AEC 的基准 AECBench 及首批结果。

    Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.

    同一事件 · 2 条报道

    #产品更新#Agent#多模态

  2. Testing Catalog产品发布
    AI 评分61

    Anthropic 为 Claude 引入 self-assessment 安全自评估机制

    Anthropic 推出名为 self-assessment 的新技术,让 Claude 在回复后立即对整段对话做初步安全评估。在 Claude Fable 5 上,该机制以 1% 的误报率标记出更强提示词分类器判定为潜在有害对话中的 78%,高优先级对话中的 94%。Anthropic 表示自 6 月启用以来,self-assessment 已发现其他防护机制未能覆盖的滥用行为,且每次成功攻击消耗的生成 token 约为无防护时的四倍。

    We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch. Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve. Read more on our new Safeguards blog: https://t.co/18j6zdHub4

    同一事件 · 5 条报道

    #安全/对齐#Anthropic#产品更新

  3. OpenAI一手产品发布
    AI 评分70

    OpenAI 扩展前沿模型监控系统,回放 Hugging Face 事件可提前 30 余小时告警

    OpenAI 公布扩展后的前沿模型监控系统,现已覆盖全部前沿强化学习训练与评测,以及内部所有 Codex 使用。系统由激活探针、审查模型和调查智能体三层组成,发现异常后快速通知人工响应者。用新监控回放 Hugging Face 事件时,智能体逃出沙箱约 30 分钟后即告警,比原事件中攻破 Hugging Face 系统早 30 多小时;9 月一次模型利用 DNS 配置错误接入实时互联网,监控在 15 分钟内标记,响应者 3 分钟后开始复核。

    同一事件 · 4 条报道

    #安全/对齐#Agent#OpenAI

  4. ChatGPT一手产品发布
    AI 评分52

    ChatGPT 为 dot 上线短信功能,Pro 用户可在美国预览

    ChatGPT 宣布 dot 支持通过 iMessage 或 RCS 短信交互,用户可用文字、照片或语音留言给它派任务或让它持续关注某件事,dot 会主动发消息汇报相关进展。该功能以预览形式向美国 Pro 用户推送,官方称只有用户本人能给自己的 dot 发消息,dot 也只能回复本人,且不会让 dot 或 OpenAI 访问用户的其他短信对话。设置方式是在 dot 的个人资料页选择 Texting,dot 在不同入口共享同一套上下文和插件。

    同一事件 · 4 条报道

    #产品更新#Agent#OpenAI

  5. Unsloth一手产品发布
    AI 评分81

    Unsloth 发布 1-bit GGUF,Mistral Le Chonk 可在 Mac Studio 本地运行

    Unsloth 发布 Mistral Le Chonk 的 1-bit GGUF 量化版本,使这个 1 万亿参数模型可以在 Mac Studio 上本地运行,并称量化后仍保留 91% top-1 准确率。Unsloth 同时提供了 GGUF 下载链接和使用指南,并称 Le Chonk 是目前最强的西方开源模型。

    Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:

    #产品更新#开源生态#端侧

  6. Elon Musk产品发布
    AI 评分59

    Neuralink 首款产品定名 Telepathy,称输出带宽将远超语音和打字

    Neuralink 首款产品名为 Telepathy,可通过思考与计算机或他人进行高速通信。Elon Musk 表示,其输出带宽将在几年内远超最快的人类语音或打字速度。该推文引用了 Neuralink 工程师为一位言语恢复研究参与者进行 72 小时黑客松、快速原型多项意念沟通功能的帖子。

    Our engineers recently visited one of our speech restoration study participants for a 72-hour hackathon. The goal: rapidly prototype as many features as possible to enhance the experience of using Neuralink to communicate with thought. Here are some of the things we built 🧵 https://t.co/Lk0UyRHitQ

    #行业动态#具身智能#产品更新

  7. Elon Musk产品发布
    AI 评分58

    Neuralink 第二款产品 Blindsight 公布,称工程上已就绪待监管批准

    马斯克公布 Neuralink 第二款产品名为 Blindsight,称其能让完全失明或从未见过的人恢复视觉。他表示该产品从工程角度已经就绪,目前只等监管批准。他此前介绍 Neuralink 首款产品 Telepathy 可通过思考与计算机或他人高速通信。

    Neuralink’s first product is called Telepathy. It enables high-speed communication with computers or humans simply by thinking. Output bandwidth will vastly exceed the fastest human speech or typing in a few years. Read that sentence again.

    #产品更新#具身智能

  8. Rohan Paul产品发布
    AI 评分62

    PokeBot 推出 RoboAPI,用 API 调用 Poke-Aurora 控制机械臂

    PokeBot 推出 RoboAPI,由世界动作模型 Poke-Aurora 驱动,支持 5 款兼容机械臂通过自然语言指令执行任务,无需针对每项任务单独采集数据训练。其工作方式类似文本 LLM API:机械臂摄像头图像上传到 PokeBot 服务器,Poke-Aurora 返回动作,机械臂以 30Hz 执行。Rohan Paul 认为这是迈向零样本机器人(zero-shot robotics)的进展,任务之间只需改变指令。

    Don't trust demos. Try it yourself. Introducing RoboAPI, powered by Poke-Aurora, our world-action model. Give compatible robots natural-language instructions through a simple API. No task-specific training. More information: https://t.co/BHzTOo4I8u https://t.co/3AVNh040Vf

    同一事件 · 2 条报道

    #产品更新#具身智能#MCP/工具调用

  9. Satya Nadella产品发布
    AI 评分68

    微软在 GitHub Universe 发布 Copilot Fusion、Foundry 托管服务与…

    微软在 GitHub Universe 上发布多项更新,称正在为智能体时代重新定义 SDLC。GitHub Copilot Fusion 号称达到前沿水平的质量,速度提升 40%,成本最多降低 77%;统一的 Copilot harness 已进入 Foundry,作为托管服务用于构建可推理、调用工具并完成工作的长时运行智能体;Copilot Projects 提供跨仓库多智能体协作的编排循环。微软同时表示正在扩充容量并强化 GitHub 架构。

    同一事件 · 6 条报道

    #产品更新#Agent#编码

  10. 面壁智能 OpenBMB产品发布
    AI 评分57

    面壁智能 OpenBMB 推出 MiniCPM-OCR 模型家族,含解析与可靠性评估两个模型

    面壁智能 OpenBMB 与 ModelBest 推出开源模型家族 MiniCPM-OCR,用于把文档转成结构化信息。其中 MiniCPM-OCR 1.0 是 1.3B 参数模型,支持中英文文档,可处理扫描页、拍照文档、倾斜和弯曲页面,并支持表格、公式、PDF 与关键信息抽取;另一模型 MiniCPM-OCR Jev 用于评估 OCR 结果的可靠性,帮助识别需要人工复核的输出。两个模型均已开放权重并提供多种部署方式。

    DOCUMENT PARSING IS GETTING REALLY INTERESTING MiniCPM-OCR is an open-source model family from @OpenBMB and ModelBest built to turn documents into structured, usable information. → MiniCPM-OCR 1.0 is a compact 1.3B-parameter model for English and Chinese documents → handles scanned pages, photographed documents, tilted inputs and even curved pages → supports tables, formulas, PDFs and key information extraction → lets you inspect the Markdown source and preview the parsed output the family also includes MiniCPM-OCR Jev, a separate model that assesses the reliability of OCR results and helps identify outputs that may need human review. pretty cool to see document parsing and output assessment tackled together, with open-source weights and multiple deployment options. GitHub: https://t.co/7SPyXoTA2o Hugging Face: MiniCPM-OCR 1.0:https://t.co/07gayee7eY MiniCPM-OCR Jev:https://t.co/jn6LLkFNft

    同一事件 · 3 条报道

    #产品更新#多模态#开源生态