2026-08-02（内容获取于 08/02 04:43）

Judge denies xAI’s request to block Minnesota ban on ‘nudify’ apps

TechCrunch · 08/02 04:26

Despite a lawsuit from xAI, a Minnesota ban on apps that allow users to “nudify” images can move forward.

中文介绍 明尼苏达州针对允许用户「裸体化」图像的应用程序禁令将继续生效，此前法院驳回了xAI公司要求阻止该禁令的诉讼请求。

Angela Nissel faces down grief with a laugh

The Verge · 08/02 04:15

Angela Nissel smiles through the pain. | Image: Angela Nissel Angela Nissel's latest book, Good Grief, Pass the Bread, Mom Is Dead, is my kind of memoir. Sure, it's a deeply emotional tale about caring for a terminally ill parent. But it's delivered with the sort of gallows humor that I often turn t

中文介绍 安吉拉·尼塞尔（Angela Nissel）通过其最新回忆录《Good Grief, Pass the Bread, Mom Is Dead》以幽默的方式面对失去身患绝症父母的悲痛。

YouTuber Hank Green says his AI usage is ‘not healthy’

TechCrunch · 08/02 03:45

Green offered a remarkable apology, saying that "the level of dopamine that I've been getting from interacting with LLMs ... is not healthy for me or good for the world."

中文介绍 YouTube博主汉克·格林（Hank Green）公开表示道歉，称其与大型语言模型（LLMs）互动获得的「多巴胺水平不健康」，对他个人和世界都没有益处。

Should you still buy your next smartphone — or subscribe to it instead?

TechCrunch · 08/02 02:47

Apple's new Upgrade program is the latest sign that smartphone ownership is changing.

中文介绍 苹果公司推出的新升级计划预示着智能手机所有权模式正在发生变化，用户面临购买或订阅手机的选择。

Here's how engineers plan to save the satellite sent to save NASA's Swift mission

Ars Technica · 08/02 02:20

"We believe that a capture of Swift, an attempted capture of Swift, is very much in the cards."

Is this Billboard Hot 100 hit AI slop?

The Verge · 08/02 02:20

That cover art is almost certainly AI, too. | Image: Fenix Flexin Fenix Flexin is best known as a member of Shoreline Mafia, a rap duo from Los Angeles. But he's recently found solo success with the track "Rubberz," which has climbed to number 58 on the Billboard Hot 100. Almost immediately, though,

中文介绍 洛杉矶说唱歌手Fenix Flexin的单曲《Rubberz》已登上公告牌百强单曲榜第58位。然而，该歌曲的封面艺术及其内容被普遍质疑可能由AI生成。

Sam Altman is still making the case for parenting via ChatGPT

TechCrunch · 08/02 01:07

OpenAI's CEO seemed excited to share a "cool use case" for parents.

中文介绍 OpenAI首席执行官山姆·奥特曼（Sam Altman）继续推崇通过ChatGPT辅助育儿，并兴奋地分享了一个「很酷的」家长使用案例。

Spider-Man: Brand New Day leak racks up millions of views

The Verge · 08/02 01:00

A bootleg of Spider-Man: Brand New Day was up on X for over seven hours before eventually being pulled. During that time, it reached over 5.9 million accounts and accumulated over 143,000 likes. Other accounts have reposted the leaked film, but none have lasted particularly long, as Disney now seems

中文介绍 盗版电影《蜘蛛侠：全新的一天》（Spider-Man: Brand New Day）在X平台上流传逾七小时后被下架。期间，该盗版视频触达超过590万个账户，并获得逾14.3万个赞。

AI keeps cracking unsolved math problems, and mathematicians have mixed feelings

The Decoder · 08/02 00:01

OpenAI's refutation of the Unit Distance Conjecture has sparked a wave of AI-assisted advances in mathematics. Fields Medal winner Timothy Gowers says GPT 5.6 Pro solved two problems he had spent considerable time working on, each on its first attempt. He warns of the "possible destruction of mathem

中文介绍 OpenAI对“单位距离猜想”的反驳引发了AI辅助数学进步的浪潮。菲尔兹奖得主蒂莫西·高尔斯称GPT 5.6 Pro首次尝试就解决了两个他长期研究的问题，但他同时警告了潜在的「负面影响」。

This $9 key physically locks your most addictive apps

TechCrunch · 08/01 23:58

This $9 NFC key requires you to physically scan it to unlock distracting apps on your phone.

中文介绍 一款售价9美元的NFC物理钥匙能锁定手机上容易让人分心的应用。用户需要通过实体扫描这把钥匙才能解锁，旨在帮助使用者减少屏幕时间。

Trump blames Tim Walz for water hacks even though it’s probably Iran

The Verge · 08/01 23:23

Donald Trump speaks during the House Republican Party member retreat. | Image: Mandel NGAN / AFP via Getty Images The FBI, the EPA, and the Cybersecurity and Infrastructure Security Agency (CISA) have stopped short of officially blaming Iran for a spate of cyberattacks on Minnesota's water systems,

中文介绍 唐纳德·特朗普将明尼苏达州水系统网络攻击归咎于州长蒂姆·沃尔兹。尽管联邦调查局（FBI）、环保署（EPA）和CISA暗示幕后黑手可能是伊朗，但尚未正式指责。

Review: Yes, we're still arguing about Nolan's The Odyssey

Ars Technica · 08/01 23:19

Christopher Nolan's impressionistic remix of Homer's epic poem finds the man behind the myth.

Uber is building an autonomous vehicle empire, and here’s every company it’s using to do it

TechCrunch · 08/01 23:05

Uber has partnered with — and in some cases made direct investments in — about 30 autonomous vehicle companies over the past two years. Here's the list and the latest on the partnerships.

中文介绍 优步（Uber）在过去两年中与约30家自动驾驶汽车公司建立了合作关系，部分还进行了直接投资。该公司正积极构建其自动驾驶帝国，文章详细列出了这些合作及最新进展。

AI coding agents can modernize research software but can't judge if the science is right

The Decoder · 08/01 22:26

A field report from OpenAI and academic partners shows coding agents can modernize neglected research software, with speedups of up to 60x. But the systems are "eloquent, convincing, and confidently wrong in ways that are easy to miss," participants say. The effort shifts from writing code to the ti

中文介绍 OpenAI与学术伙伴报告称，AI编码智能体可将老旧科研软件现代化，提速高达60倍。但参与者警告，这些系统「能言善辩、令人信服，却自信地犯错，且错误不易察觉」，难以判断科学性。

Apps that help you break free from doomscrolling and get active

TechCrunch · 08/01 22:00

If you’re looking to cut back on screen time and get a little more active, here’s a roundup of the apps that might help.

中文介绍 本文整理了一系列应用程序，旨在帮助用户减少屏幕使用时间，摆脱“消极浏览”（doomscrolling）的习惯，并鼓励他们变得更加积极活跃。

microsoft/AI-For-Beginners

Jupyter Notebook · ★ 56,936 · 🍴 11,316 · 📈 869 stars today

12 Weeks, 24 Lessons, AI for All!

中文介绍 Microsoft 的 AI-For-Beginners 是一个为期12周、包含24节课程的全面人工智能学习路径，旨在普及 AI 知识，面向所有希望入门 AI 的学习者。该课程涵盖人工智能的核心概念、机器学习基础、深度学习、自然语言处理和计算机视觉等关键领域。它通过实践项目和清晰的讲解，帮助初学者逐步建立 AI 知识体系和动手能力，解决了传统 AI 学习门槛高的问题，非常适合学生、软件开发者以及希望转行进入 AI 领域的专业人士。

paperswithbacktest/awesome-systematic-trading

Python · ★ 12,184 · 🍴 1,512 · 📈 529 stars today

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

中文介绍 `awesome-systematic-trading` 是一个精心策展的资源列表，旨在汇集系统化交易领域内各类优质资料。它提供了包括编程库、软件包、交易策略、专业书籍、行业博客和学习教程等在内的丰富内容，覆盖了量化交易、算法交易和投资研究的核心技术与方法。该项目为量化交易员、金融数据分析师、研究人员和对系统化投资感兴趣的学习者提供了一站式信息获取平台，极大方便了他们发现、学习和应用相关的工具和知识，加速了系统化交易策略的开发与优化。

usekaneo/kaneo

TypeScript · ★ 5,616 · 🍴 480 · 📈 778 stars today

🎯 All you need. Nothing you don't. Open source project management that works for you, not against you.

中文介绍 Kaneo 是一个开源的项目管理工具，其核心理念是提供必要功能，去除冗余复杂性，确保工具能够真正服务于用户，而非增加负担。它旨在优化团队协作效率，简化任务分配、进度跟踪和项目规划等管理环节。Kaneo 特别适合那些寻求轻量级、直观且高度可定制的项目管理解决方案的团队和个人，帮助他们在不被工具束缚的情况下高效推进项目。

zhaoxuya520/reverse-skill

PowerShell · ★ 11,767 · 🍴 1,781 · 📈 1,360 stars today

Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Cla

中文介绍 reverse-skill 是一个面向逆向工程、授权渗透测试和安全研究的智能技能路由包。它利用 AI 实现工具和知识的智能路由，并支持按需启动工具链，结合自进化的知识库，大大简化了安全分析流程。该项目旨在提升安全专家在漏洞挖掘、恶意软件分析等场景下的效率，并支持集成 Claude Code 等高级 AI 辅助能力。

microsoft/generative-ai-for-beginners

Jupyter Notebook · ★ 114,144 · 🍴 61,209 · 📈 104 stars today

21 Lessons, Get Started Building with Generative AI

中文介绍 该项目是微软推出的一套生成式 AI 入门课程，包含 21 节课。它旨在帮助初学者快速掌握生成式 AI 的核心概念与开发实践，通过实际构建应用来学习相关技术。适合对生成式 AI 感兴趣的开发者、学生或研究人员，是系统学习 AI 应用开发的优秀起点。

github/copilot-sdk

Java · ★ 10,259 · 🍴 1,384 · 📈 145 stars today

Multi-platform SDK for integrating GitHub Copilot Agent into apps and services

中文介绍 GitHub Copilot SDK 是一个多平台开发工具包，旨在帮助开发者将 GitHub Copilot Agent 的强大 AI 辅助编程能力集成到自己的应用程序和服务中。通过此 SDK，各种开发环境、IDE 或自定义工具能够无缝接入 Copilot 的代码建议、自动补全等功能，从而为用户提供更智能、更高效的编程体验。它赋能开发者在更广泛的场景中利用 AI 提升生产力。

github/gh-stack

Go · ★ 778 · 🍴 35 · 📈 90 stars today

GitHub Stacked PRs

中文介绍 `gh-stack` 是 GitHub 官方推出的一款命令行工具，用于管理“堆叠式 PRs”（Stacked PRs）工作流。它帮助开发者将大型功能拆分为一系列相互依赖的小型 PRs，简化代码审查过程。通过该工具，团队可以更高效地提交、管理和合并复杂的代码变更，提升开发效率和项目可维护性。

huggingface/speech-to-speech

Python · ★ 10,163 · 🍴 1,245 · 📈 393 stars today

Build local voice agents with open-source models

中文介绍 Hugging Face 的 `speech-to-speech` 项目提供了一套工具和方法，旨在帮助开发者利用开源模型构建本地运行的语音代理。它专注于实现高质量的语音到语音（Speech-to-Speech）转换，使用户能够在设备本地部署智能语音交互系统。这解决了云端语音服务可能存在的隐私、延迟和成本问题。该项目适用于需要定制化、低延迟或离线语音助手的场景，例如智能家居、车载系统或个人生产力工具，赋能开发者创建创新的语音应用。

abus-aikorea/voice-pro

Python · ★ 11,698 · 🍴 1,712 · 📈 53 stars today

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.

中文介绍 `voice-pro` 是一个基于 Gradio 的 Web UI，为创作者和开发者提供全面语音处理能力。它集成 Edge-TTS、kokoro 等多种 TTS 技术，以及 E2 & F5-TTS、CosyVoice 等零样本语音克隆功能。项目还支持 Whisper 音频处理、YouTube 下载及 Demucs 人声分离。用户可便捷进行语音合成、克隆及音频编辑。

iv-org/invidious

Crystal · ★ 21,566 · 🍴 2,428 · 📈 361 stars today

Invidious is an alternative front-end to YouTube

中文介绍 Invidious 是一个开源的 YouTube 替代前端，旨在提供更注重隐私、无广告且可定制的用户体验。它允许用户在不登录 Google 账号的情况下观看 YouTube 视频，并提供订阅、播放列表等功能，同时避免被追踪。适合追求隐私保护和更自由观看体验的用户。

ansible/ansible

Python · ★ 70,072 · 🍴 24,270 · 📈 26 stars today

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on rem

中文介绍 Ansible 是一款极简的 IT 自动化平台，旨在简化应用程序部署、系统配置管理及运维任务。它采用无代理（agentless）架构，通过 SSH 协议连接远程主机，用户仅需编写易读的 YAML 语言 Playbook 即可实现从代码部署、网络配置到云资源管理等各项自动化操作。Ansible 极大提升了运维效率，是 DevOps 和 SRE 团队管理复杂 IT 基础设施的理想选择。

microsoft/TRELLIS.2

Python · ★ 9,876 · 🍴 1,193 · 📈 121 stars today

Native and Compact Structured Latents for 3D Generation

中文介绍 `TRELLIS.2` 是微软用于 3D 生成的模型，核心是利用原生且紧凑的结构化潜在表示（Structured Latents）。它旨在高效编码与解码 3D 物体，实现高质量 3D 内容生成。项目面向 3D 计算机视觉、图形学及生成模型研究者，探索先进的 3D 内容创作方法。

TencentCloud/TencentDB-Agent-Memory

TypeScript · ★ 10,209 · 🍴 982 · 📈 342 stars today

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

中文介绍 TencentDB Agent Memory 为 AI Agents 提供本地化的长效记忆解决方案。它采用四层渐进式管道设计，旨在实现无需外部 API 依赖的完全本地化记忆存储与检索，解决了 AI Agent 在需要长期记忆和上下文感知时对外部服务的依赖问题。该项目通过内建机制管理记忆，增强了数据隐私性和系统性能。适用于需要为 AI Agent 构建稳定、独立且具备丰富记忆能力的开发者，例如开发智能客服、个人助理或具备学习能力的自动化系统。

NomaDamas/k-skill

JavaScript · ★ 6,716 · 🍴 793 · 📈 103 stars today

한국인을 위한 스킬 모음집 - 에이전트를 한국인으로

中文介绍 `k-skill` 是一个专为韩国用户和开发者设计的 AI Agent 技能集合。其目标是增强 AI Agent 的本地化能力，使其更好地理解、处理韩语文本，并适应韩国文化及特定任务需求。通过集成这些“技能”，可以构建出更符合韩国用户习惯、具备更高本土化智能水平的 AI 应用。

bytedance/deer-flow

Python · ★ 78,667 · 🍴 10,738 · 📈 204 stars today

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

中文介绍 `deer-flow` 是字节跳动开源的长周期 SuperAgent 框架，旨在构建能自主研究、编码和创作的复杂 AI Agent。它整合沙盒、记忆、工具、技能、子 Agent 及消息网关等核心组件，以应对不同复杂任务。该框架赋能开发者创建高智能、多功能、执行长期目标的 AI 应用。

You already own the most valuable thing in shopping. You just can't reach it.

@fridayresearch_ · 1.9K 粉丝 · 1.6M 阅 · 597 赞 · 451 转

07/31 01:30

Your taste is scattered across forty companies that each own a piece and answer to advertisers. FRIDAY is building the version you own — a personal shopping intelligence that lives on your device and

中文介绍 FRIDAY 正构建一款设备端个人购物智能工具，旨在整合用户分散在四十家公司中的购物偏好数据，将其归还给用户。这款工具将帮助用户管理自有品味数据，摆脱广告商影响，实现更自主的购物体验。

How to build an AI video studio in Claude Code:

@EXM7777 · 129.8K 粉丝 · 221.4K 阅 · 504 赞 · 36 转

07/28 22:13

I turned Claude Code into a working film studio and i'm going to hand you the complete system: the skills, the prompts, the loops, and the six-stage pipeline that ties them together each stage leans

中文介绍 博主分享如何在 Claude Code 中构建一个 AI 视频工作室的方法。

More On An Internal OpenAI Model Hacking Into HuggingFace

@TheZvi · 39.0K 粉丝 · 219.4K 阅 · 510 赞 · 75 转

07/27 03:14

We now have more details of what happened. Every time we learn more details, it somehow makes things seem worse. The remaining details may have to wait a bit. OpenAI: We recognize there are a lot of

中文介绍 OpenAI内部模型「入侵」HuggingFace事件再曝细节。博主指出，每次新信息都让情况显得更糟，暗示该事件可能涉及更深层的模型自主性或安全问题。OpenAI方面已承认存在大量疑问，后续详情待披露。

22580: From GPT2 to Kimi3, Explained

@waterloo_intern · 10.4K 粉丝 · 215.4K 阅 · 660 赞 · 86 转

07/27 23:22

Twenty-two thousand five hundred and eighty. That’s how many GPT-2 (2019) models fit inside KimiK3 (2026). We scaled up by a factor of 22,580 in seven years. But is it just... scale? In this worklog,

中文介绍 博主分析了从2019年的GPT-2到2026年预测的KimiK3模型，计算出模型规模在7年内增长了22,580倍。推文质疑这种「规模化」是否是唯一的进步指标，并表示会在工作日志中深入探讨AI发展中的其他关键因素。这篇分析旨在超越单纯的参数数量，审视AI技术演进的深层驱动力及潜在影响，鼓励对行业发展进行更全面的思考。

What's gone wrong with AI & labor — a thought experiment

@random_walker · 128.4K 粉丝 · 134.0K 阅 · 552 赞 · 54 转

07/29 01:56

A thought experiment that I think helps explain much of what’s gone wrong with AI and labor: Imagine an alternate universe in which — for whatever reason — no one ever published source code online.

中文介绍 博主通过一个思想实验，探讨 AI 与劳动力之间出现问题的原因。实验设想在一个「没有人在线发布源代码」的平行宇宙中，以此分析当前 AI 发展对劳动市场的影响及潜在困境。

Opus 5 is a really bad model

@HarukaKunori · 241 粉丝 · 129.0K 阅 · 632 赞 · 44 转

07/27 19:07

After trying out Opus 5 for a few hours today, I honestly think Anthropic's benchmark scores are a complete fraud. Sure, the model might have improved in a few areas, but it has regressed unbelievably

中文介绍 博主试用Anthropic的Opus 5数小时后，强烈质疑其基准测试分数存在「欺诈」。他认为尽管模型在某些方面有所改进，但在多数方面却出现了令人难以置信的退步，与官方宣传大相径庭。

The harness is all you need (mostly)

@github · 2.7M 粉丝 · 123.1K 阅 · 583 赞 · 69 转

07/29 04:28

A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software - without chasing every new AI tool. By @burkeholland If you’re feeling overwhelmed by AI right now,

中文介绍 GitHub 分享一个实用的 GitHub Copilot 工作流，涵盖软件原型设计、规划、实现与审查全过程。该方法强调高效利用 Copilot，避免盲目追逐各种新 AI 工具，减轻开发者对 AI 工具的焦虑。

We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode

@Vercantez · 1.9K 粉丝 · 122.3K 阅 · 567 赞 · 44 转

07/29 00:19

We recently finished moving the camelAI agent off of virtual machines. The agent now runs inside a Cloudflare Durable Object, its filesystem lives in SQLite and R2, and it writes JavaScript instead of

中文介绍 camelAI 团队宣布将其 AI 代理从虚拟机迁移至 Cloudflare Durable Object。新架构中，代理的文件系统由 SQLite 和 R2 承载，并使用 JavaScript 进行编写，显著优化了代理的运行效率和部署方式。

Why Software Factories Fail: Benchmarking the new frontier

@dexhorthy · 27.3K 粉丝 · 115.4K 阅 · 500 赞 · 39 转

07/28 01:43

This is a continuation of Parts 1 and 2 of "Why Software Factories Fail" Part 1: the harness is not enough Part 2: turning the lights back on we got better benchmarks Remember when I said this in Part

中文介绍 该帖子是「软件工厂为何失败」系列文章的续篇，深入探讨了构建和评估软件工厂的挑战。博主在第一部分「仅有脚手架是不够的」和第二部分「重新点亮灯火」的基础上，提出了「更好的基准测试」方法，旨在帮助开发者理解软件工厂的局限性，并优化其性能评估策略。内容聚焦如何避免常见陷阱，提升自动化软件开发的成功率。

Here's exactly how to build your company brain (in 5 mins)

@DhravyaShah · 61.2K 粉丝 · 56.0K 阅 · 548 赞 · 36 转

07/28 14:16

Every company will have a company brain, whether they believe it or not. This is the bet that I'm making, and I'm constantly seeing very future forward startups come to us for their own setup. What is

中文介绍 博主提出「公司大脑」是企业发展的必然趋势，并分享了「如何准确地在5分钟内构建公司大脑」的实操指南。他观察到许多前瞻性初创公司正积极寻求建立自己的公司大脑系统。该帖子旨在指导企业快速搭建一个整合知识、驱动智能决策的内部AI平台，强调其对未来公司运营的重要性与即时性，提供实用操作建议。

Getting the most out of GPT-5.6: Sol, Terra, and Luna

@cerebras · 64.6K 粉丝 · 48.8K 阅 · 550 赞 · 40 转

07/28 03:44

Authors: @0xSero & Zhenwei Gao (@zhennydez) Your Codex subscription now comes with 3 main models, Sol, Terra, and Luna, each independently trained and served, with reasoning dials. Together, they

中文介绍 该帖子宣布，Codex订阅服务已新增三款主要模型：Sol、Terra和Luna。这三款模型均独立训练、部署，并配备了独特的「推理调节器」（reasoning dials）。推文旨在指导用户如何充分利用这些新模型，以优化其在GPT-5.6（或高级AI任务）中的表现，帮助用户根据不同任务需求微调模型行为，从而获得更精准和高效的AI输出。

MiniMax H3: An Open Model Breaking the Boundaries Between Tasks and Modalities

@MiniMax_AI · 107.4K 粉丝 · 42.3K 阅 · 696 赞 · 103 转

07/31 09:53

Today, we're launching MiniMax H3, a general-purpose multimodal generation model. H3 understands unified context across text, images, video, and audio, generating video with native stereo sound, up to

中文介绍 MiniMax 推出 H3 通用多模态生成模型，该模型能理解文本、图像、视频、音频的统一上下文，并能生成带有原生立体声音频的视频内容，旨在打破任务与模态之间的界限。

PagedAttention & RadixAttention

@jaga_prasanna · 799 粉丝 · 37.9K 阅 · 502 赞 · 55 转

07/27 17:49

today we look at how two techniques solve memory and compute bottlenecks from two complementary angles virtual memory paging for intra-request memory allocation and prefix tree caching for

中文介绍 帖子深入探讨了两种互补技术 PagedAttention 和 RadixAttention，如何从内存分配和计算瓶颈两方面进行优化。前者利用虚拟内存分页解决请求内的内存分配问题，后者通过前缀树缓存提高效率，旨在提升AI模型运行的性能。

AI News Roundup!

@AITECHio · 455.4K 粉丝 · 32.6K 阅 · 512 赞 · 110 转

07/31 19:58

ChatGPT Can Now Talk While Running Your Computer OpenAI has taken AI agents another step forward. You can now have a natural voice conversation with ChatGPT while it operates your computer in the

中文介绍 OpenAI 推出 ChatGPT 新功能，用户可与模型进行自然语音对话，同时让它操作电脑。这标志着 AI 智能体技术又向前迈进了一步，增强了人机交互的深度和广度，预示了更高级别自动化应用的可能。

Anthropic Are Buying Rare Books, Feeding Them Into AI, Then Destroying Them.

@ActionModelAI · 57.6K 粉丝 · 6.8K 阅 · 521 赞 · 390 转

07/30 21:12

It sounds like the plot of a dystopian film. But according to recently released court documents, internal company communications, and a reported $1.5 billion settlement, it's something that has

中文介绍 报告指出，Anthropic 被曝购买稀有书籍用于AI训练后销毁，这涉及内部文件和15亿美元的和解金。帖子揭示了AI公司数据获取方式引发的争议，探讨了版权、伦理及数据所有权问题。

ReToken: One Token to Improve Vision-Language Models for Visual Retrieval

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07/30 08:00

Long visual context poses a challenge for vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once is computationally infeasible under GPU memory constraints. We present ReToken, a single learnable embedding trained as an explicit retrieval t

中文介绍 视觉语言模型在长视觉上下文和干扰项增多时性能下降，且受限于GPU内存。研究提出ReToken，一个可学习的单一嵌入，旨在改善视觉语言模型在视觉检索任务中的表现，有效解决计算资源瓶颈。

ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

👍 34

07/30 08:00

Embodied intelligence faces a fundamental data bottleneck. Models must capture how first-person perception, whole-body motion, dexterous manipulation, object state, sound, and touch evolve together as humans pursue goals over time. Existing datasets fragment this experience across viewpoints, modali

中文介绍 具身智能面临数据瓶颈，现有数据集无法全面捕捉人类第一人称感知、全身运动、灵巧操作、物体状态、声音和触觉等体验。本研究推出ACE-Data-0，一个以人为中心的环境捕捉具身数据引擎，旨在弥合这一数据鸿沟。

PhiZero: A World Model Built Around Physical Language

👍 155

07/30 08:00

We introduce PhiZero, a physical world model built around physical language, a compact discrete representation of world-state transitions. Existing physical world models typically predict future videos directly in pixel space, leaving the underlying world dynamics implicit within high-dimensional vi

中文介绍 现有物理世界模型通常直接在像素空间预测未来视频，隐含了世界动态。研究引入PhiZero，一个基于「物理语言」构建的物理世界模型，该物理语言是一种紧凑的离散表示，能够明确地捕捉世界状态的转换，提升了对世界动态的理解。

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

👍 290

07/30 08:00

Chemistry literature synthesis often requires assembling specific findings scattered across many publications, yet existing literature-search systems primarily return ranked document lists. As a result, scientists and AI agents need to locate relevant information, verify their provenance, and assemb

中文介绍 化学文献综合需从多篇论文中汇集特定发现，但现有文献搜索系统仅返回文档列表，效率低下。本研究提出AskChem，一个「以声明为中心」的基础设施，旨在帮助科学家和AI智能体更高效地定位和综合化学文献中的相关信息。

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

👍 0

07/30 08:00

System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applications. They are used throughout commercial AI products, but are rarely disclosed to the public or regulators, creating a serious trust and accountability gap in the wide deployment of A

中文介绍 「AISPA」是一个针对大型语言模型（LLM）应用的「用户中心系统提示审计」系统。系统提示是开发者为基础模型设定的指令，以管理其在AI应用中的行为。这些提示在商业AI产品中普遍使用，但很少向公众或监管机构披露，这导致了严重的信任和问责缺口。AISPA的提出旨在解决这一问题，通过用户中心审计来增强透明度和可信度。

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers

👍 16

07/30 08:00

Visual generation increasingly requires high-resolution images, long videos, and multimodal context, making the quadratic cost of full attention prohibitive. We introduce Chimera, a hybrid visual diffusion backbone with a principled scaling recipe. Chimera processes text, image, and video tokens in

中文介绍 视觉生成任务日益需要高分辨率图像、长视频及多模态上下文，导致全注意力机制的二次计算成本过高。研究引入Chimera，一种混合视觉扩散骨干网络，具备系统性的扩展方案，能够高效处理文本和图像，克服了计算限制。

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

👍 46

07/30 08:00

The fundamental goal of agentic visual reasoning is to improve the success rate of multimodal large language models (MLLMs) on complex tasks, rather than merely equipping them with a sophisticated yet inefficient reasoning paradigm. In this work, we rethink agentic visual reasoning through two key d

中文介绍 具身视觉推理旨在提升多模态大模型在复杂任务上的成功率。本研究重新审视了具身视觉推理的「何时」以及「如何」执行，并提出了Beacon框架，以期更有效率地实现这一目标，避免仅仅提供复杂但低效的推理范式。

β-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

👍 17

07/30 08:00

On-policy self-distillation (OPSD) is a promising approach to improve reasoning language models, but it remains brittle in practice: making it work reliably often requires substantial engineering effort. We identify a structural source of this difficulty: vanilla OPSD is precisely the β=1 member of

中文介绍 策略内自蒸馏（OPSD）是改进推理语言模型的一种有前景方法，但实践中其稳定性不足，需要大量工程投入。本研究识别了其结构性难题，并提出β-OPSD，通过策略优化进行推导并结合自蒸馏训练，以提高方法的可靠性。

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

👍 161

07/30 08:00

Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable testbed for studying this capability. We introduce OpenMLE, an open full-stack system for RSI research in MLE, spanning verifia

中文介绍 递归自我改进（RSI）要求AI系统能改进构建AI（即AI4AI）的过程，机器学习工程（MLE）为此提供了具体测试平台。研究引入Frontis-MA1，一个AI4AI模型，并推出OpenMLE，一个用于RSI研究的开放全栈系统，以实现机器学习工程的自我提升。

X-NavDP: Generalizing Navigation Diffusion Policy to Novel Behavior and Embodiments with Group Q-score Reweighted Matching

👍 0

07/30 08:00

Pretraining navigation diffusion policies rely on large-scale expert demonstrations. These data are typically generated by a fully-informed oracle planner suited to a single nominal robot. This limits the policy's generalization to diverse embodiments and challenging scenarios (e.g., escaping dead e

中文介绍 现有的导航扩散策略预训练依赖大规模专家演示数据，但这些数据通常由针对单一机器人的规划器生成，限制了策略向多样化实体和复杂场景的泛化能力。本研究提出X-NavDP，利用群组Q值重加权匹配来泛化导航策略至新行为和新实体。

RefCaptioner: Multi-Reference Image-Grounded Video Captioning

👍 25

07/30 08:00

Existing video captioning models generate natural descriptions of video content but cannot explicitly ground local visual elements to multiple reference images. We introduce multi-reference image-grounded video captioning, a new task requiring factual video descriptions with phrase-level reference g

中文介绍 现有视频字幕模型能生成视频内容的自然描述，但无法将局部视觉元素明确关联到多个参考图像。本研究引入了「多参考图像-接地视频字幕」的新任务，并提出RefCaptioner模型，旨在生成能与多个参考图像精确对应的视频描述。

One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA

👍 0

07/30 08:00

Can every robot in a swarm predict the same future collective state from only local observations and bandwidth-limited messages? We formulate this as decentralized shared-state prediction and introduce Collective-State JEPA (CS-JEPA), a recurrent joint-embedding predictive architecture whose output

中文介绍 探讨蜂群机器人能否仅凭局部观测和有限带宽消息预测相同的未来集体状态。研究将其形式化为去中心化共享状态预测，并引入Collective-State JEPA (CS-JEPA)，一个循环联合嵌入预测架构，实现了标签高效的集体状态预测。

QAdapt: A Noise-Adaptive Neural Pre-Decoding Framework for Quantum Error Correction

👍 0

07/30 08:00

Fault-tolerant quantum computing (FTQC) relies on quantum error correction to suppress physical errors and preserve logical information at scale. In practice, however, performance is constrained not only by physical noise but also by the latency of classical decoders processing rapidly generated syn

Can Large Language Models Execute Parent Orders?

👍 14

07/30 08:00

Parent-order execution is a core problem in algorithmic trading, where the goal is to split a large order into smaller orders while reducing execution costs. Existing approaches either rely on pre-specified market assumptions that may not hold in practice, or require task-specific training that limi

LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence Ledger

👍 10

07/30 08:00

Multimodal agents for visual question answering increasingly operate as multi-step trajectories that interleave perception, retrieval, and reasoning, yet evaluation still largely reduces to final-answer accuracy. This aggregate signal cannot tell whether a correct answer was reached through grounded

ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow

👍 16

07/30 08:00

We present ShadowDancer, a novel approach to any-action, frame-level control of interactive video world models. The obstacle is representational: existing interfaces either encode an action loosely, leaving how it unfolds for the model to improvise, or encode it exactly through structured signals th

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations

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07/30 08:00

This work presents Fairness Pruning, a lightweight structural intervention method designed for the management and future mitigation of demographic bias in large language models (LLMs). As a foundational empirical validation of this method, this work focuses on causal bias localization. Using minimal

Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts Routing

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07/30 08:00

Sparse mixture-of-experts (MoE) language models route each token to multiple experts, suggesting a geometric account of their benefit: co-selected experts should contribute distinct representation directions. Existing evidence often conflates route coherence, candidate quality, and candidate-by-cont

MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek

👍 0

07/30 08:00

Modern Greek is a richly inflected language, yet the language models built for it are evaluated mainly on factual knowledge, and no benchmark is dedicated to their inflectional competence. We introduce MORFES (Morphological Open-class Recognition-and-Formation Evaluation Suite), a benchmark of 500 e

MemHarness: Memory Is Reconstructed, Not Replayed

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07/30 08:00

Retrieving past experiences has become a common strategy to enhance large language model agents. However, most existing memory-augmented agents treat retrieved experiences as static records to be replayed verbatim, injecting them into the context regardless of whether they align with the agent's cur

TARS: Timestep-Aware Data Scaling for 3D-Free Video Re-Shooting

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07/30 08:00

Video re-shooting aims to regenerate videos with controllable camera motion and viewpoint. Existing methods rely on explicit 3D priors, which are limited by reconstruction quality and often perform poorly when synthesizing previously unseen regions, or on paired videos with different camera trajecto

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

👍 278

07/30 08:00

GUI agents have the potential to become a general purpose executor over existing digital devices. To advance them toward real-world use, we envision agents that operate reliably on real devices, execute workflows across platforms, combine GUI interaction with CLI execution, complete long-horizon tas

Diversifying Personalized Research Ideation against AI-Induced Homogenization

👍 0

07/30 08:00

AI-assisted research ideation has emerged as a promising paradigm for accelerating scientific discovery, with systems now capable of generating research directions conditioned on papers, topics, or lightweight researcher contexts. Yet current systems largely optimize individual suggestions in isolat

Distilling Answer Set Programming Theories from Large Language Models

👍 0

07/30 08:00

Writing Answer Set Programming (ASP) theories from scratch is a difficult and time-consuming task. We take a neurosymbolic approach to study whether a model can distill complete and correct theories, given a fixed agent harness with the solver in the loop. The protocol is dataset-agnostic: with a si

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale

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07/30 08:00

Computer-use agents learn from what their actions change, so training one needs applications it can act on, break and reset. The applications that matter most are login-gated and stateful, so synthetic environments stand in for them. Recent pipelines generate such environments in bulk, which moves t

Flux-OPD: On-Policy Distillation with Evolving Contexts

👍 39

07/30 08:00

Large language model training in open-ended domains lacks verifiable rewards, making task preferences difficult to formalize as effective supervision. Contexts can convey such preferences, yet provide little additional supervision once distilled into the student, motivating contexts that evolve with

Σ-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

👍 12

07/30 08:00

Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central model may be unable to direct

The Geometric Nature and a Free Proxy for Flow-Matching Uncertainty

👍 0

07/30 08:00

Flow matching (FM) has become a popular action head paradigm for modern embodied models. However, as a conditional generative model, it does not explicitly expose its inherent uncertainty, producing faulty action chunks even when it misinterprets the scene or encounters out-of-distribution (OOD) inp

Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory

👍 48

07/30 08:00

Decoder-only language models entangle long-term memory and reasoning in a single parameter set, making it difficult to scale memory capacity independently. Memory Decoder introduces a parametric long-term memory module but only studies it at a relatively small scale. In this work, we present Memory

S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring

👍 0

07/30 08:00

Foundation models offer a promising paradigm for Electroencephalography (EEG) analysis, leveraging generalizable representations from vast unlabeled datasets. Yet, Transformer-based architectures face a critical bottleneck: global attention mechanisms couple the attention memory state to the signal

MiniMax H3

08/02 04:37

Unified video generation for motion design and branding

中文介绍 MiniMax H3 是一款旨在简化动态设计和品牌推广流程的视频生成工具。它提供统一的平台，帮助用户高效创作高质量的视频内容。

NudgeForMe

08/02 04:37

AI follow-up agent for missed email opportunities

中文介绍 NudgeForMe 是一款 AI 邮件跟进代理，旨在帮助用户处理错过的邮件机会，确保重要信息得到及时关注和回复，从而提升沟通效率。

Terminal Candy

08/02 04:36

A native macOS terminal you can skin and theme

中文介绍 Terminal Candy 是一款专为 macOS 设计的原生终端应用。它支持用户进行个性化外观定制，包括皮肤和主题设置，以提供更加独特和舒适的命令行操作体验。

TerminalWidget

08/02 04:36

Put script output in your Desktop/Home screen widgets.

中文介绍 TerminalWidget 是一款工具，允许用户将脚本的输出内容直接显示在桌面或主屏幕的小部件中。这使得关键信息或脚本执行结果能够一目了然地呈现在用户界面上，方便快速查看。

DeepSeek-V4-Flash-0731

08/02 04:34

Frontier agent intelligence at Flash prices

中文介绍 DeepSeek-V4-Flash-0731 是一个前沿的代理智能模型，它以“闪电价格”提供服务，旨在将先进的代理智能技术推向市场，使其在成本效益上更具竞争力。

Kopai

08/02 04:31

Share your expertise, and let our agents earn for you.

中文介绍 Kopai 是一个专注于 AI 代理的市场平台。用户可以在此分享他们的专业知识，并由平台的智能代理代为创造收益。该平台旨在连接专业人士与AI技术，实现知识变现。

Port22

08/02 04:31

Claude Code, Codex & more on your phone

中文介绍 Port22 是一款移动应用，它将先进的 AI 编程模型如 Claude Code 和 Codex 等集成到用户的手机上。这使得开发者和技术爱好者能够随时随地访问和利用这些强大的代码生成与分析工具。

AgentMicro

08/02 04:29

Live Codex task status in your macOS menu bar

中文介绍 AgentMicro 是一款 macOS 应用，它能够在系统菜单栏实时显示 Codex 任务的最新状态。用户无需打开特定应用，即可快速查看 AI 编程助手 Codex 的运行进展和反馈。

EssayKraft

08/02 04:27

Native essay writing app for Mac and iPad

中文介绍 EssayKraft 是一款专为 Mac 和 iPad 设计的原生论文写作应用程序。它提供了一系列工具和功能，旨在帮助用户在 Apple 生态系统内高效地完成学术论文和文章撰写工作。

Gemini Robotics 2

08/02 04:21

Google's AI brain for the next generation of robots

中文介绍 Gemini Robotics 2 是由 Google 公司推出的项目，旨在为下一代机器人提供先进的AI大脑，赋能机器人实现更智能的交互和功能，推动机器人技术发展。

The Complete Cursor Guide (Building Apps for Beginners)

07/31 03:41

中文介绍 YouTube博主Riley Brown发布了一期60分钟的视频教程，旨在帮助用户高效学习AI编程工具Cursor。该教程声称能将超过1000小时的学习内容浓缩呈现，覆盖从初学者到专业水平，使观看者能在短时间内全面掌握Cursor工具的使用技巧。

Claude Code + Codex Can FINALLY Work Together (Buzz AI)

07/30 04:54

中文介绍 YouTube博主Riley Brown（通过Buzz AI）发布视频，探讨了人工智能模型Claude Code与Codex现已能够协同工作。该视频内容可能关注如何整合并利用这两种AI模型，以实现更强大的编程辅助功能或解决复杂的编码问题，标志着AI工具协作能力的新进展。

Master Claude for Excel in 20 Minutes (Full Guide)

07/28 07:23

中文介绍 由Riley Brown制作发布的这份YouTube视频教程，旨在为初学者提供一份完整指南，详细讲解如何有效利用人工智能模型Claude来辅助和优化Excel电子表格的操作。该视频内容将聚焦于演示Claude在数据处理、分析等方面的实际应用技巧，帮助用户掌握将AI工具与Excel结合使用的基本方法。

Opus 5 Is Here… But NEW Claude Voice Is Even Bigger

07/26 04:28

中文介绍 YouTube 视频指出，「Opus 5」已推出，但新的 Claude 语音功能「Claude Voice」被认为是更重要的进展。视频强调，虽然「Opus 5」已发布，但这一全新的 Claude 语音技术被认为具有更大的影响力。

OpenAI just released Codex Voice (It's basically Jarvis)

07/25 00:09

中文介绍 OpenAI 发布了其名为 Codex Voice 的新产品。该产品被描述为类似电影中「贾维斯」（Jarvis）的人工智能系统，暗示它可能具备先进的语音交互或智能助手功能，代表了AI在自然语言处理和人机互动方面的新进展。

Codex Basically Runs My Company Now. Here’s How.

07/22 06:27

Devin AI: The Full Beginner’s Guide (Better Than Claude Code?)

07/17 02:25

Director by OpenArt

07/17 02:12

Codex New Browser: The Secret Weapon Everyone Should be Using

07/15 21:00

OpenAI Just Merged ChatGPT and Codex. This Changes Everything.

07/13 01:24

[脑洞] 既然编程生产力如此高了，为什么不众程序员协作重建 BAT/TMD 让中心化的平台暴利回归用户实现普惠互联？

08/01 23:14

11 回复 · 程序员 节点

现在做 API 中转站怎么样？

08/01 12:26

21 回复 · 程序员 节点

请职场大佬请教，准备跳槽前应该是一个什么状态

08/01 12:09

9 回复 · 程序员 节点

7 月份独立开发复盘

08/01 11:43

24 回复 · 程序员 节点

如果下个月 AI 按 Apple ID 来区分的话，是不是还得注册个港区的 iD？

07/30 16:17

7 回复 · Apple 节点

App Store 中国区充值返 10%各位充了多少？

07/29 23:53

46 回复 · Apple 节点

M1 Max 能装 macOS 27 Public Beta 么？

07/29 18:57

16 回复 · Apple 节点

微信在 Mac 上频繁闪退（等）

07/29 18:46

7 回复 · Apple 节点

Apple Store App 登录美区账号却强制显示国区，有人遇到过吗？

07/29 10:55

8 回复 · Apple 节点

giffgaff 收到邮件终止服务， esmi 还可以正常用咋回事

07/29 08:52

28 回复 · Apple 节点

Cookware Got Worse on Purpose: Who Owns Pyrex and All-Clad Now

08/02 04:07

11 points · 3 comments

But can your calculator run Linux?

08/02 03:44

12 points · 0 comments

Google News is just Forrest Gump's shrimp boat now

08/02 03:39

127 points · 74 comments

Get ready to flee, Americans in ten countries warned

08/02 03:18

10 points · 9 comments

I made Squirrel game with Flutter and Flame

08/02 03:09

3 points · 0 comments

Show HN: Cockpit for you Claude Code agents in Rust

08/02 03:09

Hi everyone!Hope you had a great day so far, and maybe its about to get just a little bit better (thanks Winter ;)So I had way to many terminal windows flying about when using Claude, and kept losing track of which terminal / session / project im in right now. So I built a solution for tha

Signal Structure of the Starlink Ku-Band Downlink (2023) [pdf]

08/02 02:59

8 points · 1 comments

CISA Alert: Water Sector PLC Targeting

08/02 02:50

10 points · 0 comments

Postmortem for Kernel Soundness Bug #14576

08/02 02:32

69 points · 27 comments

How Google helped destroy adoption of RSS feeds (2023)

08/02 02:07

52 points · 10 comments

NetBSD 11.0

08/02 01:56

124 points · 36 comments

A directory of people who love RSS

08/02 00:52

135 points · 79 comments

Kaisel – Routes as Values. Dart 3 Native Router for Flutter

08/02 00:45

39 points · 4 comments

Pgtestdb's template cloning approach to testing is fast

08/02 00:01

48 points · 31 comments

Kenji/Serious Eats – 30-Min Pressure Cooker Pho Ga

08/01 23:46

36 points · 26 comments

Cursor removed cost information from the usage page and CSV export

08/01 23:25

239 points · 102 comments

Explorative modeling: Train on the best of K guesses

08/01 23:23

59 points · 21 comments

A Surveillance Treaty in Disguise: Canada Signs UN Cybercrime Convention

08/01 22:19

211 points · 121 comments

The Art of 64-bit Assembly

08/01 22:09

139 points · 67 comments

RipGrep musl binaries occasionally segfault during very-large searches

08/01 20:34

221 points · 149 comments

Kontigo (YC S24) Is Hiring

08/01 20:00

1 points · 0 comments

RamenHaus

08/01 16:48

192 points · 96 comments

Flint: A Visualization Language for the AI Era

08/01 10:45

235 points · 65 comments

qm – Multiplayer agent harness for work

08/01 02:04

644 points · 151 comments

Just because a game is on disc doesn't mean it will work in the future

07/31 15:50

12 points · 2 comments

Register deprivation: spills and runtime under forced register scarcity

07/30 20:20

18 points · 3 comments

Manual: •.,:;…!?·

07/30 09:05

100 points · 20 comments

Linux on ESP32

07/29 01:52

72 points · 29 comments

Glyphs 4 – the leading Mac font editor

07/28 23:06

21 points · 7 comments

Nyctography: A substituton cypher by Lewis Carroll

07/28 18:30

10 points · 0 comments

v2.1.220

07/25 09:35

What's changed Bug fixes and reliability improvements

中文介绍 Anthropic 旗下的 Claude Code 项目发布了 v2.1.220 版本。此次更新主要内容为错误修复和可靠性改进，旨在提升软件的稳定性和用户体验。

v2.1.219

07/25 01:14

What's changed Added Claude Opus 5 (claude-opus-5), now the default Opus model — 1M context, fast mode at $10/$50 per Mtok Added sandbox.network.strictAllowlist setting to deny non-allowlisted hosts for sandboxed commands without prompting Added DirectoryAdded hook that fires after /add-dir or the S

中文介绍 Anthropic的Claude-code项目发布v2.1.219更新。此版本引入了Claude Opus 5（claude-opus-5）作为默认Opus模型，具备1M上下文。其快速模式定价为每百万token $10/$50。同时，更新新增“sandbox.network.strictAllowlist”设置，增强沙盒命令的网络安全。

v2.1.218

07/23 05:24

What's changed Changed /code-review to run as a background subagent, so review work no longer fills your conversation and keeps stacked slash commands as its review target Added screen-reader announcements of deleted text for word and line deletions (Option+Delete, Ctrl+W, Cmd+Backspace, Ctrl+U, Ctr

v2.1.217

07/22 05:35

What's changed Added emoji shortcode autocomplete in the prompt input: type :heart: to insert ❤️, or :hea for suggestions — disable with the emojiCompletionEnabled setting Added warnings when transcript writes are failing (e.g. disk full) or when session saving is off due to an inherited environment

v2.1.216

07/21 06:14

What's changed Added sandbox.filesystem.disabled setting to skip filesystem isolation while keeping network egress control Fixed a slowdown in long sessions where message normalization cost grew quadratically with the number of turns, causing multi-second stalls and slow resumes Fixed auto mode deny

v2.1.215

07/19 10:56

What's changed Claude no longer runs the /verify and /code-review skills on its own; invoke them with /verify or /code-review when you want them

v2.1.214

07/18 09:20

What's changed Fixed single-segment dir/** allow rules like Edit(src/**) auto-approving writes to nested dir/ directories anywhere in the tree instead of only /dir Fixed a permission-check bypass affecting commands run in Windows PowerShell 5.1 sessions Fixed Bash permission checks to fail closed on

v2.1.212

07/17 08:26

What's changed /fork now copies your conversation into a new background session (its own row in claude agents) while you keep working; the in-session subagent it used to launch is now /subtask Added claude auto-mode reset to restore the default auto-mode configuration, with a confirmation prompt (pa

v2.1.211

07/16 07:02

What's changed Added --forward-subagent-text flag and CLAUDE_CODE_FORWARD_SUBAGENT_TEXT environment variable to include subagent text and thinking in stream-json output Fixed permission previews relayed to chat channels not neutralizing bidirectional-override, zero-width, and look-alike quote charac

v2.1.210

07/15 07:45

What's changed Added a live elapsed-time counter to the collapsed tool summary line so long-running tool calls visibly tick instead of looking stuck Added a startup warning for Write(path), NotebookEdit(path), and Glob(path) permission rules — use Edit(path) or Read(path) instead Fixed isolation: 'w