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WIRED interviews New York City mayor Zohran Mamdani on his stance toward AI, data centers, AI in schools, and how he uses social media for governance ahead of the midterms.
A short post sharing an experience asking an AI teacher how to spell the word "seventeen," highlighting everyday interactions with AI in learning.
humans& releases &Tutor, an AI model trained to teach by training against Persimmon as a simulated learner, achieving state-of-the-art results on the TutorMoments benchmark and outperforming frontier models like Claude Sonnet 5.5 and GPT-6 Astra under plain prompting.
A Chinese commentary post describes how a user turned 174 pages of high school physics notes into an interactive website using AI, with draggable parameter controls and real-time animations. The author uses this example to argue that customized AI tools are dismantling traditional exam-oriented education and that families should make good use of the benefits AI offers in educating their children.
The tweet shared a complete AI degree curriculum that Andrej Karpathy made freely available on GitHub, consisting of 7 repositories arranged in learning order, covering everything from backpropagation to agents capable of conducting research autonomously, with over 300,000 stars combined.
The author compiled and shared 10 open-source AI education projects they have been following recently, covering interactive labs for primary and secondary schools in China, secondary school science curricula abroad, and AI visualization learning tools, arguing that AI will reinvent education.
Andrej Karpathy released a 2-hour masterclass covering agents, harnesses, loops, and graphs, being promoted as essential viewing for AI practitioners.
The author argues the traditional education system is obsolete and that AI tools can now generate curricula, lessons, quizzes, and videos, enabling a far better and more personalized homeschooling experience than conventional classrooms.
Discover AI v0.2.0 发布更新：51 个动手实验实验室全面支持浏览器运行、新增 600+「See it in the lab」快捷卡片、简易阅读模式、跨平台安装包以及可完全本地运行的 AI 指南（Qwen3.5 2B + llama.cpp）。
An AI-powered open-source "smart mistake notebook" project featuring photo-based problem recognition, automatic answers, knowledge-point tags and difficulty ratings, mistake management, practice drills with related problems, and one-click test paper printing — designed to pair with the K-12 knowledge graph open-source project.
Prabha Jha, a Verizon leader and MIT xPRO AI for Senior Executives participant, collaborated with MIT peers to co-write 'The AI Anthology,' a collection of AI insights aimed at helping business leaders navigate the impact of AI on operations.
PyTorch Foundation 欢迎其 2026 届 24 名大使，他们来自尼日利亚、布基纳法索、新加坡、印度、罗马尼亚、西班牙、英国和美国等全球社区，旨在推动开源 AI 的教育、指导与贡献。
Guillermo Rauch argues that AI will eventually compute the exact gap between what a person understands and doesn't, enabling anyone to progressively learn any idea and reach the maximum of their capability for free.
Microsoft and Carnegie Mellon University launched the PRAISE program to train early-career Microsoft software engineers in AI-augmented software engineering through online CMU courses and on-the-job mentorship. The initiative aims to help junior engineers adapt to AI tools reshaping the profession.
An interview with Kent C. Dodds about how AI is changing the way we learn, teach, and build software, announced for release on YouTube, accompanied by a Silver.dev engineering recruiting promo.
AI 赞助推广帖子，介绍 Gakku——一款面向 6–16 岁儿童的 AI 原生学习应用，提供实时对话式写作、口语与思维训练教练。该应用能记住学生情况并动态调整课程，课程对标 CCSS、CEFR 和 GCSE 标准。
Discover AI 是一款离线学习应用，提供 51 个动手实验，从神经元、梯度下降到注意力、RAG、智能体、微调、量化与部署，部分实验可真实运行（如内置 1.37M 参数的小型 transformer），无需账号且无遥测，代码已在 GitHub 开源。
一篇介绍莱顿大学发布在 Arxiv 上的472页 AI 教科书《Agentic Large Language Models》的推文，涵盖大模型工作原理、Agent 原则、语言建模基础及 LLM 训练流程等内容。
Shares teaching practices from Wharton's "Generative AI Studio": treating generative AI as a creative medium rather than an efficiency tool, and using two classic art and design education methods — Crit (work critique) and Charrette (time-limited creation sprint) — to cultivate judgment, taste, creativity, and critical thinking, which are the most valuable traits in the AI era.
李丹（@lidangzzz）提出了一套理想化的中国计算机大学设计方案：将基础课程下沉至高中、以算法/操作系统/计算机体系结构/编译器为四大核心、全程开设AI与Agent课程链、强制三学期企业实习、以科研替代学分，并设立本硕连读与产业导向的博士项目，强调与科技园区深度融合、去除行政化与政治课。