今日必看

Audit GitHub Code Quality finding dismissals and reopenings

You can now review manual dismissals and reopenings of GitHub Code Quality findings in your organization or enterprise audit log. Findings may appear in either your repository’s default-branch backlog or pull requests. Two new events record these actions: repo.code_quality_findin

Improved detection for withdrawn Dependabot alerts

You can now more easily detect withdrawn Dependabot alerts. Dependabot withdraws and removes an alert when the advisory or vulnerability that produced it is no longer valid. Two changes help you detect these withdrawals: Webhooks: The dependabot_alert webhook event now includes a

Banks are now trying to offload the AI data center debt they just underwrote

Today I got two Claude instances to talk to each other 🤯

That is all. I know you guys have probably been doing this for months but it just clicked for me today. I tend to work in two different directories/projects frequently and this was a game changer.

Search and filter for budgets now available

The “Budgets and alerts” page in your GitHub billing settings now shows all of your budgets in one list that you can search and filter. Whether you manage budgets for a personal account, enterprise or organization, you can find a specific budget without paginating through the ful

Code scanning AI Scan metrics in security overview

Organization and enterprise administrators can now observe the impact of AI Scan for pull requests in security overview. New metrics show how many AI Scan findings were generated, resolved, the remediation rate, which repositories generated findings, trends over the selected repo

最强选题库与执行力挑战

📌 一句话摘要 本推文强调了拥有优质选题库的重要性，并指出后续关键在于高效执行和发布这些选题，以实现快速粉丝增长。同时提出了是否应该向他人提供订阅该选题库的询问。 📝 详细摘要 该发言由两部分组成：首先，作者对自己具备的“最强选题库”感到自信，表示该库能满足其每天更新的需求，并预期会带来显著的粉丝增长。其次，是一条被引用的文字，声称在使用某种自媒体工作台后，其选题能力变得无限，暗含对该工具的高度赞扬。整体内容反映了作者对内容创意来源的自豪，以及对执行力的自我提醒。 💡 主要观点 优质选题库是增长关键 作者相信，拥有一支不断更新的、符合自身需求的选题库，是

Apple Keynote now showing ads in its UI

Switzerland proposes banning profiling-based ads to minors

GitHub Copilot app for Beginners: How to teach Copilot about your codebase

Context matters when you’re working with AI. Every codebase has its own house rules: how components are structured, which scripts to run, and which conventions apply to different frameworks and file types. Copilot can help you make changes across a project, but it works best when

Eight states sue OpenAI, saying ChatGPT isn’t safe for kids

OpenAI is facing a new wave of lawsuits from eight US states that accuse the company of harming children and misleading customers about the safety of ChatGPT, as reported earlier by Reuters . The lawsuits, filed separately by Iowa, Kansas, Nebraska, West Virginia, Arkansas, Arizo

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings

For most languages of the world, language model pre-training operates in a data-constrained regime where models must repeat their training data many times, degrading generalization. Two remedies exist: aggressive hyperparameter tuning such as high weight decay, and mixing in data

企业真正需要的，不是更聪明的 Agent ？

X 平台文章编辑器的不足

📌 一句话摘要 作者抱怨 X 平台文章编辑器不支持 Markdown 格式，使得长文排版非常浪费时间，并正在考虑开发插件来解决这个问题。 📝 详细摘要 该推文表达了对 X 平台文章编辑器功能的强烈不满，认为其缺乏对 Markdown 语言的支持，导致用户在撰写和排版长文时效率极低。作者指出，为了弥补这一不足，正在考虑寻找或自行开发第三方插件，以改善写作体验。 💡 主要观点 编辑器缺少 Markdown 支持 目前的 X 文章编辑器不能识别 Markdown 语法，这意味着用户无法使用快捷键或符号来快速格式化文本，必须手动调整标题、列表和链接，这在处理长文

Opus 5.5 对视频内容创作者的影响：自动化与平台表现

📌 一句话摘要 作者在使用 Opus 5.5 后观察到，虽然该模型在自动化视频生成方面非常强大，但这也带来了一定矛盾：虽然自己再也不需要手动打磨教程类视频，但这些自动化生成的视频在社交媒体平台上的表现（如抖音、小红书的点赞量）确实非常优秀。 📝 详细摘要 这条推文探讨了 Opus 5.5 对视频内容创作的双刃剑效应。作者首先表达了对模型自动化能力的敬畏（‘再也不想自己好好打磨教程类视频了’），这意味着模型能够显著降低制作成本和时间。同时，作者也分享了正面数据，即使用 Opus 5.5 生成的系列内容在抖音和小红书平台上获得了很高的用户参与度（抖音破千赞，

微软发布自研芯片 Maia 300 并将大规模扩展 Maia 推理部署

微软宣布明年起将 Maia 芯片家族扩展到多吉瓦级部署，作为自家产品和服务的首选推理系统，并发布 Maia 300，每瓦 token 产出比主流 GPU 系统高 40%。Maia 200 已在美国、欧洲和澳大利亚部署，在 Teams 和 Copilot 场景中每瓦 token 产出提升最高 1.7x。 🔗 阅读原文 via AIHOT · https://aihot.news/items/zqlqer8tnl7ejg2ow3xoq7b9q

Building AI for Reliable Execution: Lessons From Industrial Robotics

When you think of robotics and AI, you probably first think of full humanoid robots like Figure’s AI-powered machines and 1X’s NEO home robots . Those may well be the future, but arguably more important in 2026 is industrial robots — which are typically not humanoids. Standard Bo

Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub

From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding , Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology. In this special panel moderated by Brandon Anderson , they explor

Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk

It’s hard to believe that Periodic was only launched last September : @periodiclabs . Our mission is to accelerate science.\n\nOur founding team co-created ChatGPT, DeepMind’s GNoME, OpenAI’s Operator (now Agent), the neural attention mechanism, MatterGen; have scaled autonomous

Meet Roger, the bomb-squad humanoid

PLUS: Agilink's robot hands are getting crafty

Text is so 2023

Hi folks, Personal agent season is still in full-swing. Hark (from Brett Adcock - Figure robots) launched which suggests tasks as one-tap action buttons. Tab came out of stealth at a $300M valuation. Every put an agent in Slack . Meta and Sierra want a standard for how these agen

The Rise and Fall of the Plasma Screen

PLATO V terminal, via Wikipedia . In 1960, a team at the University of Illinois released the first version of their PLATO “computerized instruction system,” a network of what would eventually be thousands of computer terminals connected to large mainframe computers. Users of PLAT