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10月15日周四
  1. 公众号:数字生命卡兹克77

    自媒体作者实测开源 Skill Anatomy:一句话让 AI 生成原理科普动画和讲解视频

    作者数字生命卡兹克分享开源 Skill Anatomy,其理念是"物体本身,就是解释",可将抽象原理做成可交互的机械模型动画,还能在其上生成带讲解配音的科普视频。

    推荐理由:作者实测了开源 Anatomy Skill 生成原理科普视频的效果,还给出额度消耗、耗时和模型配置等一手数据,方便读者评估是否上手。

  2. Tripo48

    一个人,一套工具栈,一个完整实现的 3D 世界。很喜欢看到 Tripo P2.0 为这个项目的整个资产管线提供支持。独立开发者必看的工作流!👀

    引用rewind@rewind02

    here's how to make a cozy fishing game solo with Claude Opus 5.5 + Blender + 3D AI + Unity 6... the trick is giving every tool one job, but there's a smart way to set it up: - step 1: generate every 3D model with Tripo Smart Mesh P2: palms, rocks, the pier, the boat, the hut, the character - step 2: connect Claude Code to Blender through MCP - step 3: Opus 5.5 sets up each model in Blender: scale, pivots, materials, clean export - step 4: Opus animates in Blender too: the character's walk, the cast, the rod, the boat on the water - step 5: bring everything into Unity 6 and build the world: forest, river, waterfall, beach, pier - step 6: add the systems one at a time: walking, fishing, bait choice, a time of day - step 7: play it after every step and fix one thing at a time who does what: > Tripo: the 3D models > Opus 5.5 + Blender: setup and animation > Unity 6: the world and the game one person, one stack, one game you'd actually want to play

  3. OpenAI Developers:Blog75

    OpenAI 工程师分享用 GPT-6 系列模型清理代码库的实践与提示词

    OpenAI Core Experimentation 团队工程师分享用 GPT-6 Astra 和 GPT-6.1 Sol 在 Codex 中做代码维护的实践,团队已合并超过 1,400 个维护 PR,删除逾 80 万行代码。

    推荐理由:作者以一手实践给出可直接复用的 Codex 提示词和模型成本对比,读者可按小任务起步迁移到自己的代码库维护。

  4. Ideogram Blog59

    Ideogram 4.5 产品图编辑教程:用 Precise Edit 分步改背景、换色与调整布景

    Ideogram 官方发布 4.5 产品图编辑教程,演示用 Precise Edit 对键盘、跑鞋和烤面包机图做多步编辑,覆盖换背景、改色和道具替换。教程强调把大需求拆成单次小编辑、保留未改动母版、逐步验收键帽文字和接触阴影等易错细节,并介绍 References(最多四个无遮罩、三个有遮罩)和遮罩的用法;Precise Edit 需付费计划或购买 credits。

  5. Rohan Paul50

    Secludy 发布 Who Sells Data 免费目录,收录 159 家向 AI 开发者出售训练数据、RL 环境和评测的公司,每条事实均附来源与核查日期。目录另列出 38 个付费购买企业数据的项目,其中 14 个直接付费的项目有 8 个公开了金额区间,其余多为逐笔议定;未知信息一律标注而非猜测,不做排名。

    引用Ben Cerchio@ben_cerchio

    if you sell AI training data, see how you compare: we found 159 companies selling data, RL envs and evals, every fact sourced plus 38 programs that pay companies for their data: http://whosellsdata.com 8 of the 14 that pay companies directly publish a dollar range. most of the rest set terms per deal. unknowns are marked and nothing is ranked the other page: what each program wants, who qualifies and what it offers: http://whosellsdata.com/buying missing something, or something wrong? fix it on the site, a person reviews every change we built this at @Secludy. if you buy, broker or license company data and need the names out before it reaches a lab, dm me

  6. Claude:YouTube70

    Claude Code 云端会话介绍,支持手机发起和并行运行

    Claude 介绍 Claude Code 的云端会话功能,会话在云上独立虚拟机中运行,不在本地电脑上,可离开后继续、用手机发起并多个并行。文中说明如何连接 GitHub、配置环境、启动会话和查看结果,功能面向 Pro、Max、Team 套餐及带高级席位的 Enterprise 用户,与本地会话共同计入套餐限额,无单独计算费用。

    同一件事,精选收录的是《Claude Code 云端会话实战指南:每个任务独占一台 VM,可并行跑任务并以分支收尾》

  7. vLLM 官方博客50

    vLLM 推出基于 push 的 KV 传输,分离式推理 TTFT 最高提升 3 倍

    vLLM 新增 push-based NIXL connector,将 KV 传输的协调与建立从解码关键路径移到预填充侧后台线程,在 1P1D 的 Amazon EC2 P5en + EFA 部署上,Qwen3-32B 的 TTFT 最高提升 3 倍、TPOT 最高提升 30%。该功能先在 AWS Trainium 集群验证,后作为加速器无关特性贡献给 vLLM,GPU 集群同样受益。

10月14日周三
  1. PixVerse40

    一支工作室级的产品广告,100% 由 AI 制作。 无需拍摄,无需团队。只需换上你的产品 👇 https://x.com/PixVerse4Biz/status/2108797325191864426

    引用Growth Studio by PixVerse@PixVerse4Biz

    Made this 8-second beverage ad with AI. No shoot. No studio. Want to recreate it? The prompt is in the replies 👇 Just use this video as your reference and add an image of your own drink. Would you run this as a real ad? Try it in Professional Creation → https://growth.pixverse.ai #PixVerse #Commerical #MarketingStrategy #Creativeads

  2. 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.

  3. Claude:YouTube73

    Claude Code 云端会话教程:在云端虚拟机中随时随地进行编码

    Claude 官方视频介绍 Claude Code 的云端会话(cloud session),它运行在云端虚拟机而非本地电脑,可在你离开后继续运行,支持从手机启动和多个会话并行。

    同一件事,精选收录的是《Claude Code 云端会话实战指南:每个任务独占一台 VM,可并行跑任务并以分支收尾》

  4. GitHub Blog51

    GitHub 详解基于 ModernBERT 的密钥检测模型如何以更低成本和噪音找到更多真实密钥

    GitHub 公开其新密钥扫描分类器的设计与训练细节:先用正则生成候选,再用微调 ModernBERT 结合文件路径、变量名和上下文判断是否为真实密钥。相比此前 LLM 管线,仓库所有者加权接受率提升 11.5%,post-push 扫描中位执行时间降低 86%,服务成本下降超过 98%;模型导出为 ONNX 并做 8-bit 量化,且已将通用密钥检测扩展到 push protection。

  5. Linear:Now52

    Linear 工程师总结使用 Loops 自动化重复工作的五条原则

    Linear Loops 的工程师分享使用 Loops(Linear Agent 定时或事件触发的自动化任务)的五条原则:寻找可委派的重复任务、渐进式扩展范围、善用工作区上下文、让 Linear Agent 帮助迭代、保持团队可见。文中给出漏洞分诊、清理废弃代码、会议议程准备和客户成功轮值通知等实际案例。

  6. Ado50

    大问题需要更大的解决方案。

    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

  7. Google Developers Blog70

    Google 用 Gemini 4 Argon 无人值守优化 20 万行 Python 代码库 ADK

    Google 工程师用 Gemini 4 Argon 在 google/adk-python 上无人值守跑 11 小时,提出 6 项优化、审查后合并 2 项,使长会话内存会话准备时间降低约 40%,包导入加快 21%。

    推荐理由:作者复盘了让模型无人值守跑通真实大仓库的完整工作流,含被否决的改动和可复用的 .agents/skills 设置方法。

  8. Anthropic:Engineering72

    Anthropic 自研版本控制系统 Scion,五个月完成 monorepo 从 git 迁移

    Anthropic 发布工程复盘,因 Claude 使日均合并代码量从 2026 年 5 月约 2,500 增至 9 月超 30,000,五个月内自研版本控制系统 Scion 并完全替代 git,同时推出代码评审工具 Antique。

    推荐理由:Anthropic 自建版本控制系统 Scion 的完整复盘,给出面向智能体规模负载的设计原则、架构细节和实测收益,可迁移到其他大规模仓库场景。

10月13日周二