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国产具身智能创全球新纪录！以30%成本跑赢 Figure AI 45%效率，聪明的具身大脑成关键
国产具身智能新纪录：一小时分拣1816件异形包裹，成本仅Figure AI三成，效率反超45%！
具身模型一小时狂拣1816件异形包裹
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人形之外，擎羽把“身体”变成具身智能的新变量
从柔性本体走向跨本体基础智能，让任务与世界知识延续
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自变量机器人发布 HOST 框架并开源，让机器人看视频学会新技能
IT之家 8 月 3 日消息，自变量机器人今日发布 HOST 框架（Human-to-robot One-Shot Skill AcquisiTion，人类到机器人单样本技能获取）并开源，号称“能让机器人仅观察一段数十秒的人类视频就学会新技能，同时保留已掌握的技能。” IT之家从官方介绍获悉，HOS…
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Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data
提出新型Logit-Coordinate生成模型，专为混合连续与分类变量的表格数据设计，有望提升表格数据生成质量。
arXiv:2607.23348v1 Announce Type: cross Abstract: Mixed continuous--categorical data pose a representation problem for continuous generative models. F…
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Show HN: A 60-line PreToolUse hook that stops Claude Code from editing your .env
60行代码的轻量级钩子，保护你的.env文件不被Claude Code误修改。
Article URL: https://github.com/avenna01-ceo/claude-code-survival-kr/tree/main/guard Comments URL: https://news.ycombinator.com/item?id=49063946 Point…
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Federated Lightweight Fine-Tuning
用映射网络从潜在变量生成权重，大幅降低联邦微调通信负载
arXiv:2607.18343v1 Announce Type: cross Abstract: Federated fine-tuning is bottlenecked by communication: FedAvg and pseudo-gradient schemes transmit …
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LLM-Integrated Multivariable Calculus Course
一门将大语言模型融入多变量微积分课程的创新学习资源，互动讲解向量基础。
Article URL: https://calculus.academa.ai/ Comments URL: https://news.ycombinator.com/item?id=48964585 Points: 23 # Comments: 14
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VarAlign – catch the duplicate variables AI agents scatter across sessions
VS Code扩展，帮你揪出AI编码代理留下的重复错位变量，100%本地运行保隐私。
Article URL: https://github.com/greenyogainc/varalign Comments URL: https://news.ycombinator.com/item?id=48937123 Points: 1 # Comments: 0
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《多重人生：最终变量》DLC 登陆 Steam：国区 50 元，支持简体中文
IT之家 7 月 14 日消息，11 bit studios 推出的《多重人生》全新 DLC 《最终变量》现已上架 Steam 平台，国区售价 50 元，需要拥有本体游戏才能游玩。 IT之家附游戏商品页（ https://store.steampowered.com/app/3237520/_/ ?…
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Show HN: Dotenv-Diff v3.0.0
快速对比 .env 文件差异，精准定位环境变量变更，让团队配置管理更省心。
Long time since i last posted updated about dotenv-diff, a lot of new features since then Comments URL: https://news.ycombinator.com/item?id=48823608 …
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I built a environment reloader for Windows Shells
Windows Shell 环境变量秒刷新，告别重启终端，开发者必备小工具！
Hello Guys! So I built an environment/path reloader for Windows. I also compiled the project for Linux and macOS (even though there is no real purpose…
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CÓDIGOS BÁSICOS EN ARDUINO
零基础学Arduino，掌握核心变量与数据类型，快速上手嵌入式开发。
Estructura del programa (setup + loop) Variables y tipos de datos Entradas y salidas digitales Entradas analógicas Control de flujo (if, for, while) E…
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Switching from Claude Code to Grok – Same Interface, Different Model
仅需修改环境变量，即可在Claude Code界面无缝切换到Grok模型，实现不同AI后端的快速替换。
At the beginning of June I started a “ Claude withdrawal ” challenge. The plan was to run MiniMax 3 for a month, to see if I can get the same level of…
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What Really Happens When You Write x = 10
Python的变量不是盒子，x=10背后是名称绑定与对象引用，读懂它才能真正避开赋值陷阱。
We assume you already know how to write simple Python programs and understand basic syntax (if, for, functions, lists). Here, we're not discussing how…
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大湾区首个200亿具身大脑来了！自变量两个月连融四轮，完成交割
四大互联网分别领投
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Multiple accounts in Claude Code: the complete setup
用环境变量轻松搞定Claude Code多账户切换，并规避NVM版本升级路径问题，实用配置指南。
You have a personal Claude Code subscription and a work one. Or you freelance for two clients who each provide their own API key. Or you want a sandbo…
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Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs
不是所有程序不变量都同等重要，如何精选训练数据让小模型加速验证？这篇论文给出答案。
arXiv:2603.15510v2 Announce Type: replace Abstract: The synthesis of inductive loop invariants remains a critical bottleneck in automated program veri…
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Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions
新论文用未知随机变量问题测试大模型数学推理能力，揭示模型真实推理水平
arXiv:2501.11790v5 Announce Type: replace-cross Abstract: Recent studies have raised significant concerns regarding the reliability of current mathema…
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Constrained Variable Projection for Structured Problems
面向结构化优化问题的约束变量投影新方法，为复杂约束场景提供可证收敛的求解思路，值得优化领域研究者关注。
arXiv:2606.23939v1 Announce Type: cross Abstract: Variable projection is a classical technique for separable nonlinear least-squares problems, in whic…
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Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
因果图未知时如何保证公平？这项研究在变量簇上实现了干预公平，为AI可靠性提供新解法。
arXiv:2602.23611v2 Announce Type: replace-cross Abstract: Algorithmic decisions about individuals require predictions that are not only accurate but a…