原文：I hooked up our team claw to X to trigger work faster. Unassigned sessions are for anyone to grab. Our agent looks who worked on the related code last and pings people on the server. Whole thing was a prompt and team server extended itself since plugins are now hot reloadable. RoboClaw: @steipete @rocutsj Opened a session to review PR #166379 for contrast, sidebar title spacing, and regressions. https://team.openclaw.ai/chat/roboclaw/4d42584b
Kling 官方宣布，随着 Kling 4.0 即将推出，团队将在 2026 年 10 月 10–13 日于韩国釜山举办的 ACFM（釜山国际电影节相关活动）上，带来一系列使用该模型创作的实际项目。官方表示，其关注点超出 AI 能生成什么，而在于 AI 如何理解导演的创意意图、维持角色与叙事连续性，并进入动画、真人电影、电影及剧集等专业工作流。团队称将与电影人、工作室和内容平台共同探讨生成式 AI 如何从创意实验走向专业制作。
原文：This October, filmmakers from around the world will gather in Busan. With Kling 4.0 launching soon, we’ll bring to ACFM a series of real-world projects created with the model. We’re looking beyond what AI can generate. How can it interpret a director’s creative intent, maintain character and narrative continuity, and become part of professional workflows across animation, live action, film, and series? Together with filmmakers, studios, and content platforms, we’ll explore how generative AI is moving beyond creative experimentation and into professional production. 📅 October 10–13, 2026 📍 Busan, Korea See you in Busan. #KlingAI #Kling4 #ACFM2026 #BIFF2026
作者转述在炉边谈话中 OpenClaw 创始人 steipete 的观点：早期版本体验不佳的用户很难被挽回，无论当前版本改进多少，因为第一印象极其持久，人们倾向于坚持自己的看法，因此发布时应有基本质量门槛。作者还以自身为例，称因早期版本功能欠缺，至今仍不愿使用已大幅改进的 AI 视频编辑器 Stanley Studio。以上均为作者转述与主观体验，未经独立核实。
原文：RT dennis I’ve heard the advice “launch quickly and often” so much but here’s the argument against doing so: I’m at a fireside chat with Openclaw founder @steipete where he talked about how hard it is to win people over who had a bad experience with an early version of OpenClaw, no matter how much better the current version is, highlighting the importance of having some bar of quality when you launch This is because first impressions are extremely lasting and we as humans like to be able to stand by our opinions Personal example: I’m good friends with many people on the @stanforcreators team but I’m very hesitant on using their AI video editor Stanley Studio because I tried using the product very early on and it lacked so much functionality back then It’s significantly better now but I still choose to edit my videos by hand Would love thoughts on this
原文：yay to domain specific private benchmarks! Hamed Nilforoshan: I benchmarked "Jev-killer" OpenAI Decisions API against Jev for https://HiringCafe.com, serving 2.5 million users. The task is to predict how relevant a user query/resume is to a job description, on a scale of 1-10. OpenAI is 2x more expensive and 5-10% worse. 🧵
原文：A new breed of startups is emerging to help businesses use AI smarter and cheaper, shifting towards open Chinese models and giving the likes of OpenAI and Anthropic a run for their billions. Read more: https://www.forbes.com/sites/rashishrivastava/2026/10/06/ai-costs-too-much-the-reckoning-is-here/?utm_source=ForbesMainTwitter&utm_medium=social&utm_campaign=ForbesMainTwitter 📸: Cody Pickens for Forbes
DeepLearning.AI 宣布与 Qdrant 合作推出一门免费课程，由 Dylan Couzon 授课。按推文描述，课程将教用户亲手构建一个 AI 助手，可记住物品存放位置（如钥匙），且无需网络连接、不依赖远程服务器。推文提供免费报名链接，具体课程内容以官方页面为准。
原文：This assistant remembers where you left your keys. No network connection. No remote server. Build one yourself in a course built in partnership with Qdrant and taught by Dylan Couzon. 👉 Enroll for free: https://hubs.la/Q04zn4_N0 #AI #VectorSearch #AIEngineering
作者宣布 GeoGuess Bench（geoguessbench.com）上线。据推文介绍，该基准用于衡量 AI 模型玩 GeoGuessr 的能力：团队让模型对 210 张来自世界各地的照片逐一预测拍摄地点，并根据预测与真实位置的接近程度评分。作者称部分结果"令人意外"，但具体榜单在正文中被截断，未包含可引用的细节。
原文：https://geoguessbench.com is now live! Hassan: Introducing GeoGuess Bench! A benchmark to measure how good AI models are at playing GeoGuessr. We gave each model 210 photos from around the world, asked it to predict where each photo was taken, and scored it based on how close it got. Some surprising results: • Muse
作者宣布"Introduction to AI Safety"课程已在 Coursera 发布。作者称这是一门免费课程，内容涵盖：当今 AI 的能力及推动其进步的驱动因素；主要风险，包括恶意使用、竞争压力和失控；以及用于缓解 AI 风险治理策略。
原文：Introduction to AI Safety is released on Coursera. https://www.coursera.org/learn/intro-to-ai-safety/ The free course covers: • What AI can do today and the drivers of progress • The major risks: malicious use, competitive pressures, and loss of control • Governance strategies for mitigating AI risks
原文：we added session warming a while ago but it's disabled by default i was curious how inference providers would feel about this it is effectively lying to them that your client is more active than it is and removes a signal they can use optimize their resources
原文：The data center boom is reshaping America fast: billions of dollars in land, steel, electricity and silicon, all feeding the race to advance artificial intelligence. Data centers have become a conversation among voters, but for elected officials it's personal in another way: Their stock portfolios are riding on it. Read more: https://www.forbes.com/sites/kylemullins/2026/10/06/5-senators-with-millions-riding-on-the-ai-data-center-boom/?utm_source=ForbesMainTwitter&utm_medium=social&utm_campaign=ForbesMainTwitter
原文：Re Download the Cursor iOS app and pair it with your computer: https://cursor.com/mobile On Enterprise? Ask your admin to turn it on. Learn more: https://cursor.com/changelog/remote-control-local-agents
原文：RT Rohan Varma One week since we launched dots! We’ve been working through your feedback and shipped a bunch of improvements: - Faster cloud browsing - Fixed extra phone notifications while you’re already using ChatGPT - Cleaner code blocks and attachments on web - Fewer pauses while waiting for a reply - Faster sidebar loading, smoother animations and less loading jank - Fixed character rendering in Safari and Firefox - Fixed Outlook setup getting stuck - Clearer plan guidance + a way to retry failed activity loads - More stable safety banners on web - Fixed clipped approval buttons and oversized Gmail previews hiding approvals - Fixed enterprise access issues on web and when starting voice - Better dot organization of when to use new versus existing codex threads Up next: - Voice reliability (being improved everyday, but we’ll shout when it’s up to par with our expectations) - Increasing dot’s control of your Codex app: manage project folders, have full Codex thread context, rename threads, and more - Better organization to know what your dot is working on at any given moment - Connect your dot to multiple computers - Better Windows support for local computer control - what else? Thanks for trying our product and giving us lots of feedback. Keep it coming!
Matthieu Lapeyre 发文称，Pollen 机器人 Microduck 换上了"新大脑"——其首款全定制单板计算机（SBC），替换了原型中的 Radxa 板叠层方案。作者表示该板卡由 Seeed 围绕同款 Rockchip CPU 打造，但内存、WiFi/蓝牙规格更好，并配备双 NFC 天线、面向用户的状态指示灯和 RGB（原文末尾截断）。Thomas Wolf 评论称："每个机器人都是从买来的主板起步的，好机器人最终会用上自己打造的主板。"
原文：RT Thomas Wolf Every robot starts on a board you bought. The good ones end up on a board you built. Matthieu Lapeyre: Microduck got its new brain! Our first fully custom SBC in a Pollen robot! It replaces the Radxa + board sandwich from the prototype. Built by Seeed around the same Rockchip CPU but including better memory, better WiFi/BT, dual NFC antennas, user-facing status LEDs, an RGB
dair_ai 援引 Google 与 MIT 的报告介绍 Coco——一个供 TPU 架构师用于硬件与模型协同设计的智能体平台。报告称，每次设计决策依赖数百 GB 训练前未见过的全新仿真扫描数据；Coco 将每次扫描登记到规范化的关系数据库中，智能体报告的每个数字均可通过 SQL 查询溯源。智能体可自主组合类型化工具、运行对比相同执行配置下系统等重复性分析，并读取 UI 导航状态作为上下文。报告称短期目标是将架构师搭建仿真和获取洞察的时间减半。论文链接：arxiv.org/abs/2610.02376。
原文：Great report from Google and MIT. Co-designing ML models and the accelerators is an exciting research direction. This report introduces Coco, an agent platform TPU architects use for hardware and model co-design. Each decision depends on hundreds of gigabytes of fresh simulation sweeps that no model saw during pretraining. Coco registers every sweep in a normalized relational database, so each number an agent reports comes from a SQL query. Agents compose typed tools on their own, run recurring analyses such as comparing systems at matched execution configurations, and read the UI's navigation state as context. The near-term goal is halving the time architects spend setting up simulations and getting insights from them. Paper: https://arxiv.org/abs/2610.02376 Chat with Paper: https://academy.dair.ai/papers/coco-an-agentic-copilot-for-the-hardware-software-co-design-lifecycle-2610.02376
Command Code 宣布将在 SF Tech Week 期间参加由 Novita AI 主办的 "Open Source AI Stack: Models, Inference, and Agent Harness" 活动并设展。据主办方介绍，Command Code 是一款面向开源模型的编程代理，直接在终端中运行，并会随时间持续学习用户的编码偏好。推文还提到参展商包括 MiniMax，但相关介绍在正文中被截断。
原文：Command Code will be at the Open Source AI Stack event during the SF Tech Week hosted by Novita AI. Come stop by our booth and meet the team. Novita AI: Meet the exhibitors at our SF Tech Week event, "Open Source AI Stack: Models, Inference, and Agent Harness." @CommandCodeAI A coding agent built for open models. It runs directly in your terminal and continuously learns your coding preferences over time. @MiniMax_AI A leading