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10月22日周四
  1. 数字生命卡兹克83

    作者复盘 PHP2Shell 事件:两个 CVSS 满分定为 9.2 分的 PHP 远程代码执行漏洞(CVE-2026-109618 和 CVE-2026-109619)在补丁发布前泄露,攻击演示视频外流,多国政府网站预防性下线,OpenAI 认领漏洞由 GPT-5.6 Sol 辅助发现。

    推荐理由:文章梳理了 PHP2Shell 从泄露到修复的完整时间线,指出 AI 大幅压缩漏洞发现成本,攻防节奏失衡成为新的底层矛盾。

  2. Ant Ling60

    SGLang 与 Google TPU 团队、Meta PyTorch 团队合作发布 SGLang-TorchTPU,这是 SGLang 的 TPU 插件,已在 Meta 生产推理中使用,代码开源于 github.com/sgl-project/sglang-torchtpu。它支持 Muse Spark Open、GLM-5.3 Flash、Kimi K3、Ling 3.1 Flash、MiniMax H3 等开源模型及大规模智能体工作负载,自定义 MegaKernel 让 Muse Spark Open 在 InferenceX 8K/1K、bs=1 下达到 770 tok/s 解码。蚂蚁百灵转发表示,Ling 3.1 Flash 和 Ling 3.0 家族入选发布阵容,PyTorch 原生 TPU 服务扩展了 MoE 推理的硬件选择。

    引用SGLang@sgl_project

    Today we launch SGLang-TorchTPU, built with @Google TPU team and Meta @PyTorch team. We’re excited to see it powering production inference at Meta! SGLang-TorchTPU is a TPU plugin for SGLang that brings: - Top open models on TPU: Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, MiniMax H3 - SGLang’s production features for large agentic workloads - Custom MegaKernel: Muse Spark Open hits 770 tok/s decode at bs=1 on InferenceX 8K/1K SGLang-TorchTPU is available now: http://github.com/sgl-project/sglang-torchtpu

  3. Alex Heath54

    Alex Heath 发布对 Google CEO Sundar Pichai 的采访,Pichai 谈及太空数据中心计划 Project Suncatcher,称即将迎来向 TPU 问候的 "hello world" 时刻。

    引用Alex Heath@alexeheath

    Sundar Pichai 谈 Gemini 4 与 AI 算力紧缺 即便是 Google 也拿不到足够的算力。在 Gemini 4 Argon 更广泛发布后不久,我与 Google 和 Alphabet CEO @sundarpichai 坐下来聊了聊它的早期反响、他仍希望模型改进的地方,以及要让 Google 保持在 AI 前沿需要付出什么。 Pichai 解释了 Google DeepMind 近期的领导层变动,以及为什么构建前沿模型已成为一份“全身心投入”的工作。我们还谈到了 Google 对个人智能体竞赛的回应、他如何预测 Gemini 将替你完成更多工作,以及智能体最终是否会把 Search、Gmail 和 Gemini 整合到一起。 我问他 Google 自由现金流转为负值、AI 基础设施建设中的风险,以及他如何在还不知道模型将具备何种能力的数年前就规划需求。他解释了让他有信心继续投入的信号,以及他如何使用 AI 智能体来跟踪 Google 内部的模型开发和算力使用情况。 时间戳: 00:00 Gemini Argon 发布反响 01:49 模型访问与安全 06:20 AI 模型竞赛 08:35 智能体突破与 2027 年 11:34 递归自我改进 15:41 DeepMind 领导层变动 19:52 Google 的 AI 算力投资 25:20 AI 支出可持续吗? 33:18 Sundar 如何使用 AI 智能体 35:35 Gemini 的个人智能体计划 38:37 AI 智能体如何改变网络 43:52 Google 的太空数据中心 47:38 Waymo 的扩张战略 50:26 Wing 的无人机配送计划 51:36 AI 安全与监管 55:58 Google 的量子计算押注 YouTube:https://youtu.be/fJBSNEFdm8c Spotify:https://open.spotify.com/episode/0cJBqmVz3CWJSPdmBOeJGu?si=NBxJIMhZRgikafPtwY0sZA Substack:https://sources.news/p/sundar-pichai-gemini-4-google-other-bets Apple Podcasts:https://podcasts.apple.com/us/podcast/sundar-pichai-on-gemini-4-and-the-ai-compute-crunch/id1840154537?i=1000797461022 本期节目的呈现赞助商是 @hyperagentapp。感谢节目的首席赞助商:@Atlassian、@meetgranola 和 @mercury。

  4. howie.serious54

    作者转发引用 @claudeai 的消息:Anthropic 开放 Claude Duet 研究预览,一个主动型智能体应用,会主动提醒需要关注的事项、完成任务、在用户离开时持续工作,并在代替用户行动前先行确认。作者评论称这款 personal agent 彻底与国内用户无缘,并调侃它可能口头通知封号。

    引用Claude@claudeai

    We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

  5. Chelsea Finn44

    我们如何扩展 LLM 的上下文? Agentic search 可扩展到任意规模的信息,但很容易遗漏相关信息。 想法💡:针对下游效用优化信息的组织方式。即使在 OOD 领域也能带来 30+% 的提升 论文 + 代码:https://librarian-agents.github.io/

    引用Anikait Singh@Anikait_Singh_

    LLMs deployed in specialized domains, from enterprise codebases to law firms, dig through a mountain of unstructured context! Our new paper, Librarian Agents, asks: can an agent adapt by curating its own long-context workspace, anticipating queries before they arrive? 🧵⬇️

  6. Elon Musk50

    Elon Musk 转发推荐 Grok @Bot,称值得一试。引用的 Robert Scoble 介绍了自己的用法:让 Grok Bot 每小时读取他精选的 AI 账号列表(从 X 上 70,000 个账号中筛出),自动生成一份新闻页文档;相比他此前用 X API 自建 alignednews.com 上个月仅 API 账单就 6,000 美元,用列表方式每月只需几百美元。他建议从小列表开始、每小时最多读一次以控制 token 消耗,并提到可进一步把新闻脚本导入 NotebookLM 生成播客或视频。

    引用Robert Scoble@Scobleizer

    I've been GrokBot pilled. First of all, Grok knows me better than other bots, like Meta Muse, thanks to the 300,000 posts I've done here for 20 years. But now that GrokBot @bot can read lists, it opens up powerful new personalized news capabilities. I've done this for about a year over on https://alignednews.com -- but last month my X API bill alone was $6,000. For a couple of hundred a month you can do the same with lists, either you create, or ones other people have created. Last night I stuck in my "best in AI" list and had it write me this news page: https://docs.google.com/document/d/1PEfkIbGmvw_SIJJSDvJ-gSbBM5KwXWKVeimiMsQUW-Y/edit?usp=sharing Every hour my bot reads that list and builds me a new news page. Now I've only put about 10 minutes of effort into this so far. So it's not the prettiest thing you ever have seen, but my bots are working on other ways to present them to me. And you can do the same for any topic you care about. You just need to build a list, or find one that's already built and there are millions of lists here on X on literally any topic. Put your favorite football team onto a list, along with all your favorite journalists or other fans. Then have Grok bot read them for you. And that's just the start. You can have it write you a script based on the news, then copy that into, say, @Gemini_Notebook and then you get a podcast, or a video. Based on what people are saying on your topic here on X. Thank you so much X for making lists far more powerful than they ever were before. Makes the thousands of hours I've put into mine over 20 years so much more useful. Tips? Start small. You can chew through your tokens very quickly. It's amazing how good it is with a small list, like this one, which is what created the page up above: https://x.com/i/lists/1953536336675365173?s=20 (Best AI accounts I've found out of 70,000 here on X). Don't over hit it. You only need your bot to read the list every hour. Maybe even less. If anything is really important it gets reshared into lists, so the bot doesn't need to hit it often to build you a really great set of things that are important to pay attention to. I've been begging for this capability for years. THANK YOU X!

  7. Aravind Srinivas42

    Perplexity 与 NVIDIA AI 提出后训练方法 JOLT,让同一模型同时充当教师和学生,并训练教师从自身尝试的奖励中学习、惩罚偏离学生行为的漂移。在 MATH 基准上,JOLT 用少 6.5 倍的训练 token 达到与 GRPO 相当的准确率。JOLT+ 在此基础上为学生模型增加结果奖励,在数学、编程、终端任务和工具使用基准上明显优于 GRPO。

    引用Perplexity@perplexity_ai

    New research: We developed JOLT, a post-training method where one model acts as both teacher and student, with the teacher trained to give feedback the student can use. On MATH, it matched GRPO's accuracy with 6.5x fewer training tokens. https://www.perplexity.ai/hub/blog/a-good-teacher-meets-the-student-where-they-are

  8. Addy Osmani48

    Claude Duet 是我们的新应用,Claude 在其中是你的主动型智能体!基于 Opus 5.5 运行,覆盖 6,000 个连接器/插件。Duet 会告诉你哪些事情需要你关注,并在你离开时继续推进。 加入研究预览的候补名单!https://claude.com/product/claude-duet

    引用Claude@claudeai

    We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

  9. OpenRouter62

    OpenRouter 宣布 Recursive 的首个模型 Flint 上架,支持免费试用。该模型为开源权重 40B MoE(约 2.5B 激活),由其自动化研究系统 Eureka Machine 构建,面向编码智能体,具备 262K 上下文、推理和工具调用能力。Recursive 报告的成绩为 Terminal-Bench 2.1 54.9%、SWE-bench Pro v2 89.7%、SWE-bench Verified 74.2%;试用地址 https://openrouter.ai/recursive/flint-v1.0:free。

    引用Richard Socher@RichardSocher

    Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

  10. MiniMax (official)56

    MiniMax 转发并致谢 SGLang 团队:SGLang-TorchTPU 由 SGLang 与 Google TPU 团队、Meta PyTorch 团队共建,可将 MiniMax H3、GLM-5.3 Flash、Kimi K3 等开源模型部署在 TPU 上,并已支撑 Meta 生产环境推理。Muse Spark Open 在 InferenceX 8K/1K、bs=1 下解码达 770 tok/s,项目已在 GitHub 开源。MiniMax 表示期待高效视频推理方向更多开源工作。

    引用SGLang@sgl_project

    Today we launch SGLang-TorchTPU, built with @Google TPU team and Meta @PyTorch team. We’re excited to see it powering production inference at Meta! SGLang-TorchTPU is a TPU plugin for SGLang that brings: - Top open models on TPU: Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, MiniMax H3 - SGLang’s production features for large agentic workloads - Custom MegaKernel: Muse Spark Open hits 770 tok/s decode at bs=1 on InferenceX 8K/1K SGLang-TorchTPU is available now: http://github.com/sgl-project/sglang-torchtpu

  11. MiniMax (official)46

    很高兴 Inferact 成为 M3.1 Flash 的 API 发布合作伙伴! 感谢你们将 vLLM 专长带入此次合作。期待继续携手为复杂的智能体工作负载构建服务基础设施。

    引用Inferact@inferact

    Inferact is an API launch partner for MiniMax M3.1 Flash! 🎉 We're working with @MiniMax_AI on production inference for its latest model, built for multi-step automation, real-codebase engineering and visual reasoning. M3.1 Flash scored 29.6 on Agents’ Last Exam (ALE), alongside 72.5% on AutomationBench-AA and 73.67% on DeepSWE—capabilities that matter when agents need to plan work, use tools and carry tasks through. Our contribution is the serving stack: bringing our vLLM engineering and the Inferact Platform to the collaboration. Thanks to the MiniMax team for the partnership. Explore the model and API integration: https://platform.minimax.io/docs/guides/text-generation

  12. Lydia Hallie ✨53

    Anthropic 开放 Claude Duet 研究预览,这是一款让 Claude 作为主动智能体工作的应用,会主动提示需关注事项、完成任务、在用户离开时继续工作,并在代为操作前先确认。员工 Lydia Hallie 分享自己的用法:让它盯着 Slack、邮件和日历,只在重要时提醒,连自己未加入的讨论串也会跟进,并常附带文档或设计作为上下文。

    引用Claude@claudeai

    We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

  13. indigo55

    Anthropic 宣布开启 Claude Duet 研究预览,这是一款让 Claude 以主动智能体方式工作的应用。它会把需要关注的事项带给用户,完成用户交办的任务,在用户离开时持续工作,并在代表用户行动前先向用户确认。

    引用Claude@claudeai

    We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

  14. Ado57

    Anthropic 开放 Claude Duet 的研究预览,这是一款让 Claude 作为主动式智能体工作的应用。它会主动提醒需要关注的事项、完成指派的任务、在用户离开后继续工作,并在代为行动前先与用户确认;作者表示它已成为自己处理所有非编码事务的日常主力。

    引用Claude@claudeai

    We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent. It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.