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10月14日周三
  1. Rohan Paul70

    法官 Edward Davila 于 10 月 13 日下令 OpenAI 在 5 天内提交已收集的面试材料、14 天内提交其余记录,包括清单、指南、讲稿和技术演示,以回应 Apple 于 7 月 10 日提起的商业秘密诉讼。

    引用Rohan Paul@rohanpaul_ai

    Bloomberg: Apple wants a federal judge to bar OpenAI from using hardware secrets it says former employees carried over. US District Judge Edward Davila in San Jose hears that injunction request alongside OpenAI’s motion to dismiss the lawsuit. This is the lawsuit’s first major hearing since Apple sued in July. Apple says Liu, who joined OpenAI in January, exploited an authentication bug to reach Apple’s network storage and download confidential files. Apple’s later filings say he simulated a downloaded power converter schematic in LTspice and told a colleague his AI agent could adjust the circuit itself. Apple also claims OpenAI told job candidates to bring prototypes and other “design artifacts” for “show and tell” interview sessions. An injunction would land as OpenAI readies a smart speaker priced above $300 and an IPO at a targeted $1.4T valuation. Apple’s hardest task is tracing a specific file from Liu’s downloads into OpenAI’s actual product work.

  2. indigo64

    Anthropic 工程博客宣布自建版本控制系统 Scion,并已将整个 monorepo 从 Git 完全迁移,用时五个月。代码合并量从 5 月的每天约 2,500 次增至 9 月的每天 30,000 多次,为人类规模设计的基础设施成为瓶颈,新系统的 Git 镜像基础设施仅为原来的两百分之一。

    引用Anthropic@AnthropicAI

    New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: https://www.anthropic.com/engineering/redesigning-source-control

  3. indigo61

    Anthropic 工程博客宣布自研版本控制系统 Scion,并五个月内将整个 monorepo 从 Git 完全迁移。5 月每日代码合并约 2,500 次,9 月超过 30,000 次,为人类规模设计的基础设施成为瓶颈;七人团队完成迁移后,基础设施规模只剩原 Git 镜像的两百分之一。

    引用Anthropic@AnthropicAI

    New on our Engineering blog: Creating in-house source control. In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale. Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: https://www.anthropic.com/engineering/redesigning-source-control

  4. Elon Musk45

    Grok @Bot 可以帮你处理税务

    引用Jason Freedman@jasonfreedman

    I just gave my a Grokbot four years of past tax returns and financial files. Just a dump of folders and unlabled files. K-1s, 1099s, mortgage statements, HSA records, and every email with our CPA. 266 files. I just said, please double check my CPA's work. A few minutes later, it had found a lot of mistakes. Mortgage interest left off our 2022 return entirely. HSA payroll contributions counted twice, four years in a row, which created a penalty tax that never should have existed. A missing IRA form for Jen that would have cost us. On this year's return: home office errors, two K-1s missing, an outdated 1099, and startup losses we never claimed. And a retirement contribution the return already deducted...that we hadn't actually deposited. I sent it all to our CPA. They sent back an amended return. The bot reviewed that too. One fix went the wrong direction. The explanation had typos. Three versions later, all in one afternoon, it said ready to sign. Just a few hours start to finish. With about 90 seconds of my time and attention required. I was just the meat proxy hitting send as Grokbot watched the replies in my email. Our CPA is great and turned every fix around the same day. We chatted afterwards. He wanted to know what I was using - just normal ole' grokbot. I asked him what he was using? No AI tools. I set him up with @magnetictax for next season (we're an investor). All CPAs should be using Magnetic Tax or something like it. Every single one. All individuals should be double checking the work and past work with Grokbot or something like that. Want to copy the exact the prompt I used? it was just this: "Please do a thorough review of my taxes and help me understand if my CPA made any mistakes" "Think deeply" Or just tag your bot into this thread.

  5. Rohan Paul73

    FBI 起诉 35 岁沙特籍 OpenAI 工程师 Abdulrahman Alfozan,指控其在旧金山办公室高管会议室内、用厕纸包裹的 USB 端口处藏匿拇指大小的录音器,9 月 30 日被员工发现,约安装后 2 天。

    引用Rohan Paul@rohanpaul_ai

    truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.

  6. Rohan Paul72

    FBI 逮捕了 OpenAI 前工程师 Abdulrahman Alfozan(35 岁,2025 年 7 月起任职),联邦检察官指控其使用设备窃听口头通信,据称他利用公司内部 AI 工具查找高管开会地点,在该房间藏匿窃听设备。

    引用Rohan Paul@rohanpaul_ai

    truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.

  7. OpenBMB51

    OpenBMB 转发 @fahdmirza 对 MiniCPM-V 4.7 1B 的动手实测视频。该 10 亿参数视觉模型可在手机上运行,实测者用 llama.cpp 和 Ollama 安装 GGUF,完成了照片读模拟时钟、时钟图生成可用 HTML、解二次方程、数十种语言手写翻译及肢体语言场景识别等任务,视频同时呈现了成功与失败结果。

    引用Fahd Mirza@fahdmirza

    🚀 Tiny model, big test: MiniCPM-V 4.7 1B, hands-on 📱 A one billion parameter vision model that fits on a phone 🔹 Installed the GGUF with llama.cpp and Ollama 🔹 Read an analog clock from a photo 🔹 Turned that clock photo into working HTML code 🔹 Solved a quadratic from a school math sheet 🔹 Handwriting translation across dozens of languages 🔹 Funny scene test: spotting body language and backstory 🔥 Honest results, wins and fails, in the full video below 👇 https://youtu.be/40FXBcRz4_k?si=UGnvZNh0AN5f4aDL @OpenBMB

  8. Rohan Paul83

    Xbow 工程师 Brendan Dolan-Gavitt 用 OpenAI 的 gpt-5.6-sol 分析 Chrome 源码,历时六天、花费约 4 万美元算力,找到三个独立漏洞组成漏洞链,使标签页内普通 JavaScript 代码穿越两个防护边界、逃出所有沙箱。

    推荐理由:原文给出算力成本、人工分工和漏洞链细节,读者可以据此评估 AI 智能体在真实漏洞挖掘中的实际投入产出。

  9. Aravind Srinivas48

    👀

    引用Leading Indicators@leadinginds

    The most-purchased AI vendor in each category, based on Ramp spend data. Search, dictation and coding have clear leaders, with Perplexity, Wispr Flow and Claude Code each bought by 87%+ of category buyers. Inference, GPU capacity and AI-first GTM are still fragmented.

  10. Elon Musk48

    所有 Grok @Bots 都拥有自己的电子邮件地址,还能帮你分析和总结你的邮箱。

    引用eric zakariasson@ericzakariasson

    grok @bot 0.70.2 is rolling out! - each bot can claim its own email address at @mail.grokbot.com and draft emails for you to send - apps like Figma, Notion and Canva show up as live cards right in the chat - bots can search X and read public posts and profiles without connecting an X account - describe what you want and your bot suggests a matching template - shared pages can be downloaded as a pdf - an approval check before anything irreversible and much more! https://x.ai/changelog/bot

  11. Arena.ai72

    Arena 宣布 Meta 的 Muse Wonder (Max) 进入 Code Arena: WebDev 榜单第15名(1651分),与 Kimi K3 (Max) 的 1655 分相差 4 分。

    引用AI at Meta@AIatMeta

    我们很高兴推出 Muse Wonder 系列,包括 Muse Wonder 和 Muse Wonder Full,这是我们迄今为止最强大的模型。两者都是前沿模型,旨在为个人和专业代理任务提供最先进的性能。 Muse Wonder 今天可通过 Meta Model API 和 Muse Code 使用。Muse Wonder Full 今天面向 Muse Code 订阅者提供。Muse Wonder 很快还将为我们的个人代理产品 Muse 中的体验提供支持,首先向订阅者推出。

    推荐理由:榜单给出了 Muse Wonder (Max) 与邻近模型的分差和名次变化,读者可以据此比较它在编码与文本上的实际位置。

  12. Sundar Pichai44

    很好地总结了我们在 Argon 4 上的安全与对齐工作。

    引用Anca Dragan@ancadianadragan

    We did a lot to understand Gemini 4's capabilities and propensities, and to improve our mitigations for this launch -- you can get a tl;dr here https://blog.google/innovation-and-ai/technology/safety-security/gemini-4-model-safety-security/ and dive into the report https://storage.googleapis.com/deepmind-media/gemini/gemini_4_safety_report.pdf

  13. MiniMax (official)52

    MiniMax 宣布 FastH3-Omni 登陆 Reactor,可从单个提示词生成带同步音频的视频,10.20.2026 前在 Reactor API 开放预览。FastVideo 与 nuvalab 对 MiniMax 的实时 H3 做后训练得到该开源版本,支持首尾帧条件控制、音频输入与强对话能力、最多 3 张参考图像。

    引用reactor@reactorworld

    Introducing FastH3-Omni. The fastest and highest-quality open-source version of realtime H3 by @MiniMax_AI, post-trained by FastVideo @haoailab with @nuvalab. Exclusive preview on the Reactor API until 10.20.2026. • First and last frame conditioning • Audio input + strong dialogue • Up to 3 reference images • Frontier-level performance

  14. Rohan Paul74

    FBI 逮捕一名前员工,其涉嫌在 OpenAI 一间办公室内放置精密录音装置。OpenAI 表示曾用自家模型分析装置来源并锁定该员工,已将其解雇并移交 FBI,目前无迹象表明其不当访问或外泄模型权重、源代码或客户数据,FBI 调查仍在进行,但 OpenAI 未说明装置本身录下了什么。

    引用OpenAI Newsroom@OpenAINewsroom

    We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.

  15. Rohan Paul63

    看来 Jacob Coxon(前 OpenAI 和 Anthropic 研究员)上周说的下面这番话,还真没说错。 "中国已经在 OpenAI 和 Anthropic 安插了间谍。中国有能力随时发动黑客攻击。就算我们领先了,这也不代表我们有多大优势,他们随时可以插手窃取我们的进展。" ---- 完整视频见 "PBD Podcast" YouTube 频道,(链接在评论中)

    引用Rohan Paul@rohanpaul_ai

    truly unbelievable stuff going on. 🤯 FBI arrested a former employee in ​connection with a sophisticated ​listening device found hidden in ⁠one of OpenAI's ​offices. OpenAI says it has no indication so far that the employee accessed or exfiltrated model weights, source code or customer data, yet it hasn’t said what the device itself recorded.