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10月29日周四
  1. Ado49

    今天 Claude Duet 帮你做了什么?😅

    引用karan ahuja@ahuja_karan

    Day 6 of Claude Duet! A few updates on access, and really appreciate everyone’s patience on the waitlist: - We’re getting all Max users in the US off the waitlist first. Lots of invites went out yesterday and today, with more coming this week. - Right after Max, we’ll start inviting Pro users in the US. - For folks outside the US, we’re working hard on extending access and will share a date as soon as we have one. If you’d like to try Claude Duet and help shape it, please join the waitlist. https://claude.com/product/claude-duet We’re building it with and for working professionals, small businesses, and entrepreneurs who are constantly juggling a lot. Team is reading every piece of feedback and shipping daily. More soon on how we built Claude Duet, how people are using it, new features and improvements.

  2. Addy Osmani60

    Addy Osmani 引用 Felix Rieseberg 关于 Anthropic 团队取消编程面试的文章,称其原因是新工程师的表现正在超过更强的资深工程师。作者认为执行已不再昂贵,公司内部的信号是选一个能推动业务的想法并做出原型,外部则靠一小组原型的作品集;他还提到 Claude Code Desktop 最初是两位新工程师的周末原型。

    引用Felix Rieseberg@felixrieseberg

    The coding interview is dead, at least for my team at Anthropic. I've seen enough to know that it no longer provides signal. I removed it from loops this month. I have a spicy, optimistic take - I think there's an opportunity for junior engineers: https://felixrieseberg.com/hunger-beats-tenure-advice-for-junior-engineers/

  3. Rohan Paul41

    Claude for Legal 现已包含一个预构建迷你应用库,用于处理日常法律工作,例如检查文书中的引文是否与来源匹配,或标记违反公司规则的合同条款。 其中一些由 Harvey、PwC、Goodwin 和 Foley & Lardner 构建。 律师打开一个应用,看到它在示例数据上运行,然后将其指向自己的文件,Claude 便完成第一轮处理,每项发现都链接到其来源。

    引用Claude@claudeai

    New in Claude for Legal: a gallery of ready-made artifacts for contract review, regulatory horizon scans, cite checks, and more. Start from the built-in example, add your own documents and connectors, and share it with anyone across the business.

10月28日周三
  1. Rohan Paul40

    Unify 反向押注 AI 外呼:由 AI 依据融资、招聘、换工作或网站访问等购买信号挑选联系人,覆盖 65M+ 家公司,并从 7+ 数据源获取号码,再连同背景信息载入 Power Dialer,由真人完成通话。

    引用Austin Hughes@austinh___

    Cold calling isn’t dead. And that’s why today, we’re launching Unify Dialer. Sellers have already placed 112K+ calls with it. → Prospect, sequence, and dial in one place. → Move faster through your call list with Power Dialer, with the research done before you dial. → Reach more buyers with 34% more reachable numbers than Apollo and 66% more than ZoomInfo in our benchmark. 60% of reps book a meeting within their first hour of dialing on Unify. Who better to pick up the phone than the wolf of insurance himself, Juliano Massarelli? 👇🏻 Try it here: https://www.unifygtm.com/dialer?utm_source=x&utm_medium=austin&utm_campaign=dialer-launch

  2. OpenBMB55

    OpenBMB 转发并感谢 @atomic_chat_hq 的演示:该演示在 M5 Max MacBook 上本地运行 MiniCPM-OCR 1.0,处理 Anthropic S-1 文件全部 415 页,1.2GB 模型约每页 4 秒,数据全程不离开设备。GGUF 权重已发布在 huggingface.co/AtomicChat/MiniCPM-OCR-1.0-GGUF。

    引用atomic.chat@atomic_chat_hq

    A 1.2GB model on a Mac read Anthropic's whole IPO 📄 @OpenBMB MiniCPM-OCR 1.0 went through all 415 pages of Anthropic's S-1 on an M5 Max MacBook at about 4 seconds a page and nothing ever left the laptop GGUFs -> https://huggingface.co/AtomicChat/MiniCPM-OCR-1.0-GGUF

  3. OpenBMB50

    OpenBMB 开源 MiniCPM-OCR 系列模型,把文档解析与 OCR 结果可靠性评估配套提供。MiniCPM-OCR 1.0 是 1.3B 参数的中英文文档解析模型,支持扫描页、拍照文档、倾斜和弯曲页面,可处理表格、公式、PDF 和关键信息抽取,并支持查看 Markdown 源码与预览解析结果;MiniCPM-OCR Jev 是独立模型,用于评估 OCR 结果可靠性,帮助识别需要人工复核的输出。模型权重开放在 GitHub 和 Hugging Face,支持多种部署方式。

    引用draven@dravenip

    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: http://github.com/OpenBMB/MiniCPM-OCR Hugging Face: MiniCPM-OCR 1.0:http://huggingface.co/openbmb/MiniCPM-OCR-1.0 MiniCPM-OCR Jev:http://huggingface.co/openbmb/MiniCPM-OCR-Jev

  4. OpenBMB59

    面壁智能 OpenBMB 转发 @atomic_chat_hq 的实测演示:1.2GB 的 MiniCPM-OCR 1.0 在 M5 Max MacBook 上以每页约 4 秒的速度处理完 Anthropic S-1 全部 415 页,全程数据不离开本地。演示者已将 GGUF 版本分享至 Hugging Face(https://huggingface.co/AtomicChat/MiniCPM-OCR-1.0-GGUF)。

    引用atomic.chat@atomic_chat_hq

    A 1.2GB model on a Mac read Anthropic's whole IPO 📄 @OpenBMB MiniCPM-OCR 1.0 went through all 415 pages of Anthropic's S-1 on an M5 Max MacBook at about 4 seconds a page and nothing ever left the laptop GGUFs -> https://huggingface.co/AtomicChat/MiniCPM-OCR-1.0-GGUF

  5. Elon Musk51

    Elon Musk 转发 @imagine 的消息,宣布 Grok Imagine 的提示词指南上线。团队正以少量创意人员小规模团队公开制作 Odyssey 剧集,并邀请读者学习其工作流,指南链接为 https://x.com/i/article/2114831189475483648。

    引用Grok Imagine@imagine

    Our Prompting Guide is live. We're building the Odyssey episodes in public with a small crew of creatives. Learn from our workflows! https://x.com/i/article/2114831189475483648