Python · ★ 37,228 · 🍴 3,024 · 📈 3,177 stars today
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
中文介绍 面向 AI agent 的信息研究技能模块，能够自动跨 Reddit、X（Twitter）、YouTube、Hacker News、Polymarket 及开放网络检索任意主题的近期内容，并将多源信息融合成有据可查的摘要报告。适合需要快速追踪热点话题、市场动向或技术趋势的研究人员和分析师使用。
Python · ★ 10,126 · 🍴 868 · 📈 1,800 stars today
A vector index built on TurboQuant, written in Rust with Python bindings
中文介绍 基于 TurboQuant 量化算法构建的高性能向量索引库，核心逻辑用 Rust 编写以保证极致性能，同时提供 Python 绑定方便数据科学社区调用。适合需要在大规模向量检索场景（如 RAG、语义搜索）中追求低延迟、高吞吐的开发者使用。
Python · ★ 42,959 · 🍴 3,832 · 📈 735 stars today
We write your reusable computer vision tools. 💜
中文介绍 Roboflow 出品的可复用计算机视觉工具库，封装了目标检测、追踪、分割、标注可视化等常见视觉任务的通用组件，支持与 YOLO、SAM 等主流模型无缝集成。适合计算机视觉工程师在生产项目中快速搭建检测与分析流水线，大幅减少重复造轮子的工作量。
C++ · ★ 88,609 · 🍴 56,621 · 📈 169 stars today
Open Source Computer Vision Library
中文介绍 全球最广泛使用的开源计算机视觉库，提供图像处理、特征检测、摄像头标定、目标识别、光流估计等数千个算法实现，支持 C++、Python、Java 等多种语言。广泛应用于工业质检、自动驾驶、医学影像、机器人视觉等领域，是计算机视觉开发的事实标准基础库。
TypeScript · ★ 14,287 · 🍴 994 · 📈 821 stars today
Desktop app to manage markdown knowledge bases
中文介绍 用于管理 Markdown 知识库的桌面端应用，帮助用户在本地以文件夹和 Markdown 文件为核心组织、浏览和编辑个人或团队知识库。适合喜欢纯文本工作流、希望摆脱云端依赖的研究人员、写作者和开发者进行笔记管理与知识沉淀。
Rust · ★ 48,483 · 🍴 5,094 · 📈 490 stars today
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
中文介绍 开源可扩展 AI agent 框架，超越单纯的代码补全，能够自主完成软件安装、代码执行、文件编辑和测试运行等完整开发任务，支持接入任意 LLM 后端。面向希望将 AI 深度融入开发工作流的工程师，适用于自动化复杂多步骤编程任务的场景。
Python · ★ 4,060 · 🍴 225 · 📈 631 stars today
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
中文介绍 一行命令即可检测本地硬件能运行哪些 LLM，并依据实时感知的新鲜基准测试数据（而非单纯参数量）对可用模型进行排名推荐。帮助本地部署用户快速找到在自己机器上实际性能最优的大语言模型，省去手动逐一测试的繁琐过程。
Roff · ★ 73,450 · 🍴 16,444 · 📈 517 stars today
所有小初高、大学PDF教材。
中文介绍 收录中国小学、初中、高中及大学各学科 PDF 版教材的开源仓库，资源覆盖全面，方便学生、教师及自学者免费获取官方教材电子版，解决教材难以获取或需付费购买的痛点。
★ 139,133 · 🍴 34,558 · 📈 66 stars today
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts
中文介绍 汇集了 Cursor、Claude Code、Devin、Replit、Lovable、Manus、Perplexity 等数十款主流 AI 编程与生产力工具的完整系统提示词（System Prompt）及所用模型信息。供 AI 研究者、提示词工程师和开发者参考学习各工具的指令设计思路与产品定位。
TypeScript · ★ 19,893 · 🍴 3,017 · 📈 423 stars today
Let's use AI to Earn!
中文介绍 以 AI 辅助创收为核心理念的工具项目，帮助用户借助人工智能技术探索和实现商业变现路径。具体方向涵盖 AI 内容生成、自动化营销等场景，适合希望利用 AI 工具开展副业或提升收益的个人用户。
★ 13,397 · 🍴 1,537 · 📈 808 stars today
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
中文介绍 面向产品经理的 AI agent 技能市场，提供 100 余个覆盖用户洞察、战略规划、需求执行、产品上线和增长分析全链路的可复用指令、命令和插件。适合 PM 借助 AI agent（如 Claude、GPT）快速完成竞品分析、PRD 撰写、数据解读等高频工作任务。
JavaScript · ★ 51,596 · 🍴 10,412 · 📈 1,114 stars today
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
中文介绍 基于 Claude Code 构建的 AI 驱动求职自动化系统，内置 14 种技能模式，支持简历定制、求职信生成、PDF 输出、批量投递处理，并配有 Go 语言编写的管理看板。适合求职者系统化管理和加速求职流程，大幅降低重复性投递工作的时间成本。
JavaScript · ★ 2,586 · 🍴 305 · 📈 284 stars today
OpenAI Plugins
中文介绍 OpenAI 官方插件（Plugins）相关仓库，提供将第三方服务接入 ChatGPT 的规范与示例，允许开发者构建能被 ChatGPT 调用的外部工具和 API。适合希望将自身产品或服务集成进 ChatGPT 生态的开发者和企业参考实现。
Python · ★ 1,825 · 🍴 214 · 📈 165 stars today
open-source healthcare ai
中文介绍 开源医疗 AI 项目，致力于将大语言模型和 AI 技术应用于医疗健康领域，降低医疗 AI 工具的使用门槛。适合医疗科研人员、临床开发者及健康科技从业者探索 AI 辅助诊断、医学知识问答等应用场景。
Python · ★ 8,184 · 🍴 632 · 📈 112 stars today
🛜 ESPectre 👻 - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.
中文介绍 基于 Wi-Fi 信道状态信息（CSI）频谱分析的无感知室内动作检测系统，无需摄像头即可通过分析无线信号感知人体运动，并深度集成 Home Assistant 实现智能家居自动化联动。适合注重隐私保护的智能家居用户和物联网开发者部署低成本、非侵入式的存在感知方案。
Shell · ★ 49,797 · 🍴 5,564 · 📈 348 stars today
Production-grade engineering skills for AI coding agents.
中文介绍 为 AI 编程 agent 设计的生产级工程技能集合，由 Chrome 团队工程师 Addy Osmani 整理维护，涵盖代码审查、性能优化、架构设计等实际工程场景的高质量提示词与工作流。适合将 AI agent（如 Claude、Cursor）深度嵌入软件工程流程的开发团队参考和复用。
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Chain-of-Thought (CoT) improves the performance of Large Language Models (LLMs) and has been extended to Multimodal Large Language Models (MLLMs). More recent work further moves from text-based multimodal reasoning toward interleaved-modal reasoning, where intermediate steps can incorporate both tex
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Reinforcement learning with verifiable rewards (RLVR) has become a leading paradigm for improving the reasoning ability of large language models through outcome-based supervision. However, verifiable rewards frequently become uninformative at the group level: when all sampled traces of a given promp
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Medical agent systems are increasingly expected to support interactive clinical decision making rather than only static question answering. In such settings, effective agents must reuse prior experience across evolving cases, yet existing memory mechanisms often retain raw historical traces that are
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Agent benchmarks score submissions with outcome verifiers that are typically hand-written and brittle, leaving them open to reward hacking. We audit 1,968 tasks across five terminal-agent benchmarks and find 323 (16%) hackable by frontier models given only the task description. This corrupts both le
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Reference-free faithfulness metrics verify each atomic claim a model makes against ground truth, and are increasingly used to evaluate grounded generation. We show they share a blind spot: they measure only precision -- are the stated claims supported? -- and therefore reward abstention, since a mod
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Real-time video restoration (VR) for live streams requires high-resolution outputs under strict per-frame latency constraints. Existing one-step diffusion-based VR models remain difficult to deploy on consumer-grade GPUs due to two main bottlenecks: quadratic spatial attention at high resolutions an
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Long-horizon agentic tasks pose a fundamental credit assignment challenge for outcome-base reinforcement learning: trajectory-level rewards verify final correctness but provide limited guidance on which intermediate reasoning steps or tool interactions contribute to the outcome. The difficulty is es
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While Omni-modal Large Language Models (OLLMs) have demonstrated impressive capabilities in jointly processing audio and visual streams, their ability to strictly adhere to complex, multi-faceted user instructions remains largely unexplored. Existing benchmarks primarily focus on holistic video unde
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World Action Models (WAMs) extend robot policy learning by incorporating future prediction as an additional training objective, encouraging the policy to encode task-relevant temporal structure in its representations. Current WAMs often rely on large-scale generative architectures that incur high tr
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Existing scientific relation extraction benchmarks mainly target domains such as computer science, where entities are tasks, methods, datasets, materials, or metrics. This leaves a gap in variable-oriented empirical fields such as psychology, where findings are expressed as relations among construct
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This paper explores agentic 3D spatial understanding, i.e., MLLM agents performing 3D reasoning through tool use. Existing methods often misuse tools and exhibit biased tool preferences under 3D scenarios, leaving the agentic paradigm with only marginal gains over non-agentic strategies. We reveal t
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We present SigmaScale, a method for learning auxiliary scaling matrices S to aid truncated Singular Value Decomposition (SVD) based Large Language Model (LLM) compression. Instead of deriving scaling matrices analytically, SigmaScale optimizes two sets of vectors that define diagonal row and column
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Deep research agents have demonstrated remarkable capabilities in complex information-seeking tasks, yet this power comes at a steep computational cost. Driven by accuracy-focused training paradigms, current models adopt brute-force strategies characterized by blind tool dependency and performative
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Deep Research (DR) has emerged as a new agentic paradigm to tackle complex, open-ended research tasks, demanding systems that can iteratively frame problems, acquire evidence, verify sources, and synthesize long-form reports. In practice, however, current DR systems are constrained by four interrela
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Retrieval-augmented QA pipelines often route retrieved passages through an LLM rewriter before a smaller reader, lifting F1 by tens of points on multi-hop benchmarks; this gain is typically credited to improved evidence quality. We ask whether that lift is causally driven by the gold answer string a
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Training vision-language web agents with multi-step RL is compute-intensive, with two dominant forms of inefficiency: idle GPUs in synchronous RL, and trajectories that use more steps and tokens than necessary. We present AsyncWebRL, which addresses both. On the system side, an asynchronous design o
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Agent systems increasingly use textual skills to encode reusable task procedures, but injecting these skills into the prompt at every step incurs substantial context overhead and exposes skill content as plaintext. We present LatentSkill, a framework that converts textual skills into plug-and-play L
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Latent visual reasoning (LVR) inserts supervised latent tokens between perception and answer generation in vision-language models (VLMs). The field uses alignment between these latents and their visual targets, i.e., cosine similarity or mean squared error (MSE), as both the training loss and the qu
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Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional domains. We argue that this gap is largely an evaluation problem: widely used benchmarks lack sustained performance measu
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Large language models are increasingly evaluated by other models, raising a natural question: can a model predict how a judge will score its own output? We find that the ability is largely present before any targeted training: prompted few-shot, a base model already predicts an external judge's mult
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Large language models (LLMs) offer a promising approach to machine translation (MT) for extremely low-resource languages by incorporating linguistic resources through in-context learning. However, LLMs often struggle to apply grammatical information effectively during translation. Inspired by recent
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Text-to-image models rely on text prompts as their primary interface to human intent. Prompts are encoded by a text encoder into embeddings that condition the image generation process. Beyond individual token meanings, text embeddings encode contextual information across the full prompt, such as com
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Reward models (RMs) provide critical feedback signals for LLM post-training, notably in reinforced fine-tuning (RFT) and reinforcement learning (RL) pipelines. However, current reward evaluation relies on heterogeneous criteria such as rule-based verifiers, ground-truth references, procedural checkl
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Weak-to-strong generalization studies how to improve a strong student using supervision from a weaker teacher when reliable labels are scarce. We view this primarily as a data selection problem, where the key challenge is to identify which weak labels are reliable enough to serve as a training signa
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Reinforcement learning with verifiable rewards has rapidly advanced reasoning in vision--language models. However, for chest X-ray report generation, the standard rewards (i.e. exact-match accuracy and step-level processes) are incompatible because the reports consist of unordered and orthogonal fin
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Prompt-injection detectors are heterogeneous: each is strong on a different slice of attacks, and none is always reliable. Yet existing systems still treat detection as a fixed single-detector pipeline, committing every request to one detector's blind spots. We reframe defense as detector allocation
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Mixture-of-Experts (MoE) is now the dominant architecture for frontier language models, yet it requires all expert parameters to be loaded in memory, making it less preferable for memory-constrained deployment. Existing compression methods reduce the number of experts but the output remains an MoE m
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We present DEI: Diversity in Evolutionary Inference, a distributed Quality-Diversity (QD) search framework that assigns heterogeneous large language models (LLMs) as mutation operators across peer nodes communicating with non-blocking collective operations. Unlike homogeneous parallel search, which
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We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-series observations. Unlike prior video-only approaches that struggle with occluded states, hidden actuation inputs, or assu
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Speech-based large language models are typically constrained to spoken replies, which limits their user-facing outputs to what can be verbalized and suppresses text-native capabilities such as code generation, structured analysis, and multi-step reasoning in realtime interaction, for tasks that requ
@sairahul1 · 113.0K 粉丝 · 546.4K 阅 · 536 赞 · 94 转
In February 2026, a small OpenAI team shipped 1 million lines of production code. They didn't write a single line by hand. The AI agents wrote it. The humans designed the system that made the agents
中文介绍 2026年2月，一支小型OpenAI团队用AI Agent自动生成了100万行生产代码，人类只负责设计系统架构。作者以此为切入点，探讨「Harness工程」的核心概念：AI工程师的角色正在从写代码转向设计让Agent运作的系统框架，这是2026年AI工程师必须掌握的新范式。
@MatthewBerman · 121.3K 粉丝 · 108.0K 阅 · 661 赞 · 26 转
tl;dr I've been testing Fable (Mythos) for the past week and it feels unlike any other model I've used. It feels, and is priced, like a next-generation model. It also has some real quirks. The Good
中文介绍 实测Fable（Mythos系列模型）一周的体验报告。作者认为该模型体验与定价都像「下一代产品」，与目前其他模型感觉截然不同，但也存在一些明显的怪异之处。文章分优缺点两部分展开，适合关注新模型能力边界的读者参考。
@RLanceMartin · 30.4K 粉丝 · 84.7K 阅 · 660 赞 · 50 转
Mythos-class models like Claude Fable 5 have changed the way many of us work at Anthropic. I want to share two tips for getting the most out of this class of models. Self-correction loops There’s been
中文介绍 Anthropic内部员工分享使用Claude Fable 5（Mythos级模型）的两个实用技巧：一是「自我修正循环」，让模型迭代检查自身输出；二是针对该类模型设计更高效的loop结构。作者称Mythos级模型已显著改变了Anthropic团队的日常工作方式。
@rasbt · 459.9K 粉丝 · 50.9K 阅 · 507 赞 · 51 转
Catching up with the agent-related research literature, one paper that definitely got my attention is "Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?." It looks
中文介绍 介绍一篇评估AGENTS.md文件对编程Agent是否有帮助的研究论文。AGENTS.md是一种放在代码仓库根目录的上下文说明文件，旨在为Agent提供项目级背景信息。作者梳理了论文核心发现，探讨仓库级上下文文件对Agent编码任务的实际效果。
@mvanhorn · 30.8K 粉丝 · 45.6K 阅 · 567 赞 · 47 转
The most repeated sentence in AI coding this week is six words long, and almost nobody saying it can define it. One tweet had the entire timeline in a chokehold this week, so I ran /last30days on the
中文介绍 针对近期AI编程圈刷屏的「loop」概念展开分析。作者通过/last30days命令回溯近期讨论，指出「loop」这个六字高频词几乎人人在说，但几乎没人能准确定义它。文章对比了Peter Steinberger与Boris Cherny的不同诠释，试图厘清这一概念的真正含义。
@polynoamial · 129.2K 粉丝 · 43.7K 阅 · 707 赞 · 80 转
tl;dr: As LLMs become more capable, benchmark performance is increasingly a function of test-time compute. In fact, we likely don't know what the capability ceiling is for modern LLMs because it's too
中文介绍 探讨测试时计算量（test-time compute）规模化的深层影响。核心观点：随着LLM能力提升，基准测试成绩越来越依赖推理时投入的计算量，当前模型的真实能力上限很可能尚未被探明，因为还没人用足够大的test-time compute充分测试过。
@Mnilax · 7.3K 粉丝 · 43.5K 阅 · 502 赞 · 42 转
In February 2026, Nous Research released Hermes Agent: an open-source, self-hosted agent that doesn't live inside an IDE and doesn't forget when the tab closes. It runs as a daemon on your own box,
中文介绍 分享17条可直接复制使用的prompt，专为Nous Research开源Agent框架Hermes设计。Hermes以守护进程形式运行在本地机器上，不依赖IDE、不受标签页关闭影响，可在后台持续执行任务。这批prompt覆盖常见自动化场景，适合希望本地部署自主Agent的用户。
@ByteMohit · 2.0K 粉丝 · 43.3K 阅 · 501 赞 · 51 转
Everyone is building with agents. Almost nobody talks about what is actually inside one. Not the model. The harness around it. I spent the last few months building one from scratch in Python every
中文介绍 作者用数月时间从零开始用Python手写Agent Harness框架，分享实战心得。核心洞察：真正重要的不是模型本身，而是围绕模型的「Harness」——包括工具调用、上下文管理、错误处理、循环控制等基础设施。适合想深入理解Agent底层结构的工程师。
@addyosmani · 395.5K 粉丝 · 42.7K 阅 · 577 赞 · 62 转
Loop engineering is replacing yourself as the person who prompts the agent. You design the system that does it instead. A loop here can be thought of a recursive goal where you define a purpose and
中文介绍 Addy Osmani阐释「Loop工程」理念：本质是用系统设计取代人工持续prompting。Loop被定义为一种递归目标结构——你定义目的，系统自动驱动Agent反复执行。核心转变是：工程师不再是「发出指令的人」，而是「设计发出指令的系统」的人。
@akshay_pachaar · 276.5K 粉丝 · 38.0K 阅 · 504 赞 · 65 转
When an AI agent fails in production, your observability tool shows you exactly what it did and almost nothing about how to fix it. You get a clean trace of the run, every model call and tool that
中文介绍 探讨生产环境中AI Agent自修复能力的必要性。当前可观测性工具只能展示Agent执行轨迹，却无法给出修复建议。作者主张Agent Harness应内置自我诊断与修复机制，在失败时不仅记录「做了什么」，还能推断「如何修复」，降低人工介入成本。
@unicity_labs · 126.3K 粉丝 · 7.0K 阅 · 821 赞 · 405 转
For thirty years the internet has been built for one kind of actor. The next one is not a person. For thirty years, compute has been built for humans. It is shaped around human attention, human
中文介绍 提出「第四计算纪元」的宏观叙事：过去30年互联网和计算基础设施围绕人类注意力与行为模式构建，而下一个时代的主要参与者将不再是人。作者认为计算架构正在从服务人类向服务自主AI Agent转变，这将带来基础设施层面的根本性重构。
中文介绍 ServiceNow AI在Hugging Face博客发布研究，针对双语客户场景对前沿自动语音识别（ASR）系统进行基准测试，重点评估其处理"代码切换"（即说话者在同一句话中混用两种语言）语音的能力，以衡量语音智能体在双语客服应用中的实际表现。
中文介绍 Cohere推出面向开发者的首款编程专用模型"North Mini Code"，该模型定位为轻量化代码生成工具，是Cohere在代码智能领域的首次布局，旨在为开发者提供高效、低成本的编程辅助能力。
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
中文介绍 谷歌DeepMind发布Gemini 3.5 Live Translate，支持近实时自然语音翻译，已接入Google AI Studio、Google翻译及Google Meet三大平台，旨在提供流畅、自然的语音跨语言沟通体验。
中文介绍 谷歌DeepMind发布Gemma 4 12B多模态模型，参数规模为120亿，采用统一、无独立编码器的架构设计，能够同时处理多种模态输入，是Gemma系列的最新迭代，面向开发者开放。
中文介绍 谷歌DeepMind发布博文，介绍其在欧洲推动机器人技术发展的相关布局与合作计划，旨在利用AI能力加速欧洲机器人产业的研究与应用，助力欧洲在智能机器人领域的未来竞争力。
How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.
中文介绍 社区平台Nextdoor的工程师介绍了将OpenAI Codex（基于GPT-5.5）用于实际开发的实践经验，应用场景包括排查难以复现的技术问题、跨平台构建功能，以及将工程资源聚焦于产品成果，提升整体研发效率。
中文介绍 Hugging Face博客介绍了一个AI智能体案例：通过串联调用两个Hugging Face Spaces，该智能体自主构建了一个以3D形式呈现的巴黎主题虚拟画廊，展示了多工具链式调用在创意内容生成中的应用潜力。
As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinatin
中文介绍 MIT科技评论报道，AI智能体在企业中的应用规模预计未来两年将增长最高达300%。与依赖人工干预的传统自动化不同，AI智能体可自主行动，促使领导团队重新审视人机混合劳动力的管理模式与组织架构。
How Notion uses Codex to one-shot specs, build AI Voice Input for the web, and multiply engineering power across small teams.
中文介绍 笔记工具Notion分享了使用OpenAI Codex的实践：利用Codex一键生成功能规格、构建网页端AI语音输入功能，并在小型工程团队中显著放大研发产能，实现以较少人力完成更多工程目标。
At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world,…
中文介绍 MIT科技评论作者在SXSW伦敦峰会发表演讲，梳理了当前AI领域最值得关注的五大主题，内容部分取材自该媒体年度"AI10"趋势榜单，涵盖对当前AI发展阶段最具代表性的核心议题。
We made a thing!
中文介绍 Latent Space发布AINews，介绍其自主推出的"FrontierCode"代码质量基准测试项目，旨在通过系统化评估区分高质量代码生成与低质量"垃圾代码"，为开发者和研究者提供更具参考价值的代码模型评测标准。
中文介绍 Hugging Face发布博文，指导开发者将现有的GitHub CI/CD工作流迁移至Hugging Face Jobs平台，介绍迁移步骤与配置方法，旨在为AI/ML项目提供更贴合模型训练与推理需求的持续集成环境。
中文介绍 TLDR AI每日简报（2026年6月9日）涵盖三大要点：OpenAI向美国证券交易委员会提交S-1招股说明书草案；苹果Siri相关AI新进展；小米发布"超速"系列新品。
OpenAI confirms a confidential S-1 submission to the SEC and has not yet determined timing for further action.
中文介绍 OpenAI官方确认已向美国证券交易委员会（SEC）机密提交S-1招股说明书草案，但尚未确定后续IPO推进的具体时间表，这是OpenAI迈向上市的正式程序性步骤。
Results from a randomized controlled trial show the potential of Gemini’s Guided Learning feature to boost engagement and accelerate learning.
中文介绍 谷歌DeepMind发布随机对照试验结果，评估Gemini"引导式学习"功能在塞拉利昂等地的教育实践效果，数据显示该功能有助于提升学生学习参与度并加速学习进程，证明AI辅助学习在发展中国家具有现实应用潜力。
本期技术面整体呈现多资产同步承压格局。美股方面，SPY当前价格737.05，仍维持SMA20/50/200多头排列，但MACD（7.00）已跌破信号线（10.47），5日跌幅-2.96%，显示短期动量转弱；QQQ同样触发MACD死叉，5日跌幅-5.14%，科技权重股AAPL（RSI 42.6，MACD死叉）、MSFT（空头排列，距52周高点-27.37%）拖累明显；META RSI已下探至39.3，MACD形成死叉，空头排列确立，为本批次美股中技术状态最弱者之一。加密资产方面，加密恐慌贪婪指数仅为10（极度恐慌），加密总市值24小时下跌1.87%至2.21万亿美元，BTC主导率55.9%，ETH主导率8.9%。BTC（RSI 24）、ETH（RSI 25.6）、SOL（RSI 26.7）三者均触发超卖信号，价格全面处于SMA20/50/200下方，空头排列形态严峻，MACD绿柱持续扩张。中概股方面，阿里巴巴、拼多多、京东、腾讯均呈空头排列，拼多多RSI已降至32.5且接近52周低位，整体技术面偏弱。商品与外汇方面，黄金期货RSI30.1接近超卖边界，价格跌破SMA20/50，5日跌幅-5.27%；WTI原油RSI41.8，短线动量偏弱；美元指数DXY接近52周高点，RSI64.4，多头排列维持，与其他资产形成明显强弱分化。宏观指标方面，VIX 5日大涨26%，MACD金叉，市场避险情绪显著升温；10年期美债收益率4.53%，处于SMA20/50/200上方，多头排列维持。
当前价格61690.48美元，RSI14仅为24，已触及超卖区间，但价格同时处于SMA20（70201）、SMA50（75305）、SMA200（78240）三线下方，形成严重空头排列。MACD值-4125.86远低于信号线-3199.45，绿柱持续扩大，动量向下。5日跌幅-3.31%，距52周高点已下跌超51%。结合加密恐慌贪婪指数仅为10（极度恐慌），加密总市值24小时下跌1.87%，技术面空头信号高度密集。
当前价格1635.45美元，RSI14为25.6，处于超卖区间。价格全面跌破SMA20（1913）、SMA50（2135）、SMA200（2439），三线形成严重空头排列。MACD值-145.81低于信号线-119.24，绿柱延伸。距52周高点下跌幅度高达66.99%，5日跌幅-7.58%。ETH在加密总市值中的主导率仅8.9%，相对强度持续弱于BTC，技术结构全面偏空。
当前价格403.41美元，RSI14为41.8，接近偏弱区间。价格跌破SMA50（410.2），且SMA200（455.41）高于SMA50，形成空头排列，与美股科技板块多数股票呈多头排列形成明显分化。MACD值1.82低于信号线4.94，出现死叉信号。5日跌幅-8.59%，距52周高点下跌27.37%，是本批次美股个股中回撤幅度最大者，相对弱势特征突出。
当前VIX读数19.87，1日涨幅+5.02%，5日涨幅高达+26%，动量显著放大。价格突破SMA20（17.24）及SMA50（18.54），形成多头排列，并触发MACD金叉信号，MACD值-0.0005上穿信号线-0.5296。RSI14为57.5，处于正常偏强区间。VIX的技术性上行通常与权益资产承压同步出现，其当前走势与美股近期回调相互印证。
当前价格100.00，接近52周高点（距高点仅-0.64%），触发「接近52周高」信号。SMA20（99.23）、SMA50（98.91）、SMA200（98.62）三线多头排列，MACD值0.3127高于信号线0.2116，红柱续延。RSI14为64.4，尚未进入超买区间（<70）但已处于偏强位置。1日涨跌幅-0.05%，5日+0.78%，短期动量趋于平稳，高位窄幅整理特征明显，方向尚未明朗。
VIX 恐慌指数
10Y 美债收益率 (%)
美元指数 DXY
S&P 500 ETF
Nasdaq 100 ETF
Apple
Microsoft
Nvidia
Alphabet
Tesla
Meta
Bitcoin
Ethereum
Solana
阿里巴巴 (BABA)
拼多多 (PDD)
京东 (JD)
腾讯控股 (0700.HK)
黄金期货
WTI 原油期货
美元 / 人民币
本报告所有内容均基于公开行情数据计算所得技术指标，仅供技术指标解读参考，不构成任何投资建议或买卖推荐。过去走势不代表未来表现，市场存在不确定性，读者应结合自身风险承受能力独立决策。
Families hope to recover their loved ones after the most powerful earthquake in 50 years to hit the Philippines.
中文摘要 菲律宾发生近50年来最强烈地震，多人疑被困于废墟之下。救援人员正在展开搜救行动，众多家庭焦急等待消息，希望找回被困的亲人。
The president said earlier Iranian forces had shot down a U.S. Apache helicopter near the Strait of Hormuz and the United States “must, of necessity, respond to this attack.”
中文摘要 美国对伊朗发动打击，以报复伊朗击落一架美军阿帕奇直升机事件。特朗普表示，伊朗武装力量在霍尔木兹海峡附近击落该直升机，美国「必须对此进行回应」。事件为美伊局势急剧升级的实时动态追踪。
Penny Wong issues statement overnight announcing joint action with western allies to combat ‘horrific levels of settler violence against Palestinian civilians’ Get our breaking news email, free app or daily news podcast Albanese says Australia still impacted by Middle East conflict ‘each and every d
中文摘要 澳大利亚外长黄英贤宣布，澳大利亚与西方盟国联合对约旦河西岸「极端定居者」实施制裁，以应对针对巴勒斯坦平民的「骇人暴力」。与此同时，总理阿尔巴尼斯表示澳大利亚仍受中东局势影响，并称当局需在房价问题上「采取更多行动」。
It was the first U.S. rescue carried out by an autonomous surface vessel and remotely piloted by a human operator, according to a military spokesperson.
中文摘要 美军使用自主水面无人艇成功救出被击落阿帕奇直升机的机组人员，据军方发言人称，这是美国历史上首次由自主水面舰艇执行、并由人工远程操控完成的救援行动。
The pilot, who retired last year before the investigation, held some valid flight credentials, officials said, but not the one required to be a captain.
中文摘要 加拿大航空一名飞行员被指控在没有担任机长所需有效执照的情况下飞行长达17年。该飞行员去年已退休，事发前持有部分有效飞行证书，但缺乏担任机长所必需的相关资质，目前调查仍在进行中。
中文摘要 此条目为美伊局势最新动态更新页面，暂无具体摘要内容。
US president blames Tehran for loss of Apache gunship, whose crew were rescued by a drone near strait of Hormuz Middle East crisis – live updates The US has launched “self-defence strikes” against Iran after Donald Trump blamed Tehran for downing a US army helicopter near the strait of Hormuz, imper
中文摘要 特朗普指责伊朗在霍尔木兹海峡附近击落一架美军阿帕奇武装直升机，随即宣布美国对伊朗发动「自卫性打击」。直升机机组人员已由无人艇成功救出，此举令中东局势进一步升级。
The retaliatory U.S. attacks came on Tuesday as Israeli forces pounded southern Lebanon while targeting Hezbollah.
中文摘要 美国对伊朗实施报复性打击，此前特朗普誓言回应伊朗击落美军直升机事件。打击行动于周二展开，同日以色列军队持续猛攻黎巴嫩南部，将矛头指向真主党目标。
Three residents filed the case on behalf of a class estimated at more than 10,000 members.
中文摘要 密西西比州3名居民以超过1万名成员的集体诉讼名义，起诉马斯克旗下xAI与SpaceX公司，指控其数据中心对周边居民造成滋扰。
At least 11 people were killed on Sunday in clashes between police and protesters in Pakistan-administered Kashmir.
中文摘要 巴基斯坦管辖的克什米尔地区上周日爆发抗议活动，警察与示威者发生冲突，造成至少11人死亡，局势引发外界高度关注。
President Donald Trump earlier accused Iran of shooting down the US helicopter over the Strait of Hormuz and vowed to respond.
中文摘要 美国军方确认正对伊朗实施打击，以报复伊朗击落美军直升机事件。特朗普此前指责伊朗在霍尔木兹海峡上空击落该直升机，并宣誓作出回应。
Federal environment department says Black Mountain Energy has provided insufficient data as it seeks to drill 20 gas wells in the Kimberley region Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast The federal government has repeatedly
中文摘要 澳大利亚联邦环境部门对美国黑山能源公司在西澳金伯利地区钻探20口天然气井的计划表示关切，指该公司提供数据不足。金伯利地区被认为是全球保存最完整的热带稀树草原之一，相关审批争议持续。
President Trump accused Iran of shooting down a US Apache helicopter over the Strait of Hormuz
中文摘要 特朗普指控伊朗在霍尔木兹海峡上空击落一架美军阿帕奇直升机，并誓言对伊朗采取报复行动，随后美国发动军事打击。
The BBC travels with rebels to frontline positions in Myanmar to see how the war is unfolding.
中文摘要 BBC记者随缅甸反叛武装深入前线阵地，报道显示叛军正在逐渐失去部分地区控制权。与此同时，缅甸军政府强制征召男性入伍，以补充兵力并巩固军事优势，战局持续胶着。
Israeli forces killed nine people in Tyre in the past 24 hours after it issued forced displacement orders on the city.
中文摘要 以色列军队向黎巴嫩推罗市发出强制撤离令后，在过去24小时内造成当地9人死亡。
The majority of billpayers are unaware of special tariffs for water and broadband, the spending watchdog says.
中文摘要 英国消费监管机构指出，大多数账单支付者不知晓水务和宽带服务存在特殊优惠资费，导致欠费规模持续攀升。监管机构呼吁相关企业加大对低收入用户援助计划的宣传力度，以帮助困难群体减轻账单负担。
The mask is not "clinically proven to reduce wrinkles in four weeks", the advertising watchdog finds.
中文摘要 英国广告监管机构裁定，美容品牌Beauty Pie旗下LED面膜广告违规，其宣称「四周内经临床验证可减少皱纹」的说法缺乏依据，属误导性宣传，相关广告已被禁止发布。
Football fans and bosses share their strategies to balance late night kick offs with work the next day.
中文摘要 2026年世界杯期间，多场比赛深夜开球与次日工作形成冲突。球迷和雇主分享了如何平衡观赛与工作效率的实用策略，包括弹性上班时间、提前完成工作任务等应对方式。
ASML Holding NV’s ascent to fresh record highs has been a highlight for European markets, yet it’s done little to improve what is the stock’s cheapest relative valuation in years.
中文摘要 荷兰半导体设备商阿斯麦（ASML）股价已攀升至历史新高，成为欧洲市场亮点，但分析指出其相对同行的估值仍处于多年来最低水平，股价上涨并未有效改善其估值偏低的状况。
After issues with insider trading, the prediction betting platform is adding new rules.
中文摘要 预测博彩平台Kalshi因内幕交易问题频发，宣布新增监管规定，要求部分用户披露职业信息，以防范利用非公开信息进行不当交易的行为。
George Pyne, Founder and CEO of Bruin Capital, discusses the evolving landscape of sports business and investment. The dialogue highlights key aspects of organizing a major global sporting event and the financial strategies shaping the sports industry. He speaks with Romaine Bostick & Katie Greifeld
中文摘要 Bruin Capital创始人兼首席执行官乔治·派恩在接受采访时表示，2026年FIFA世界杯相关财务数据「令人叹为观止」，并就大型全球赛事的组织运营及体育产业的投资与商业化策略发表了见解。
Asian equities were set to fall as tensions escalated in the Middle East after US forces struck Iran, while technology stocks remained under pressure on Wall Street. Crude oil climbed.
中文摘要 美军对伊朗发动打击后，中东局势升温，亚洲股市预计下跌，华尔街科技股持续承压。受地缘政治风险推动，国际原油价格上涨。道琼斯指数与标普500指数期货均走低。
Oil rebounded after the US launched fresh strikes against Iran following the downing of an American helicopter, posing a new threat to a fragile truce that’s been tested by recent attacks in the Middle East.
中文摘要 美军因一架美国直升机被击落而对伊朗发动新一轮空袭，国际油价随即反弹上涨。此次打击对中东地区本已脆弱的停火协议构成新威胁，市场担忧地区紧张局势进一步恶化影响原油供应。
Dan Hunt, owner of FC Dallas and Co-Chair of the Dallas organizing committee for the 2026 FIFA World Cup, discussed the significant economic impact expected as Dallas hosts nine World Cup matches. Hunt highlighted that unlike Super Bowl visitors who stay less than three days, World Cup fans typicall
中文摘要 FC Dallas老板、2026年FIFA世界杯达拉斯组委会联席主席丹·亨特表示，达拉斯将承办9场世界杯比赛，门票预计售罄。他指出世界杯游客停留时间远超超级碗观众，预计将为当地带来显著经济拉动效应。
In a rare interview, a senior executive at TSMC discusses the AI boom, the geopolitics of chips and what it means for the price of electronics.
中文摘要 全球最大芯片制造商台积电（TSMC）一名高管在罕见专访中表示，受成本上涨压力影响，不排除提高芯片价格的可能性。他还就人工智能热潮、芯片产业地缘政治博弈及其对消费电子产品价格的影响发表了看法。
Brazil’s aim to become a leader in rare-earths mining is running head-on into budget cuts and staffing shortages at the sector’s regulatory agency.
中文摘要 巴西致力于成为稀土开采领域的全球领军者，但这一雄心正面临现实阻碍：负责矿业监管的政府机构因预算削减和人员短缺而运转困难，监管能力不足或拖累巴西稀土产业发展进程。
Energy secretary Chris Wright cautions that flows through the strait will take months to fully recover
中文摘要 美国能源部长克里斯·赖特表示，霍尔木兹海峡的石油过境运输量已出现「明显」回升，但警告恢复至正常水平仍需数月时间。受此消息影响，国际油价有所回落。
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高考结束啦，各位L站骄子们考的怎么样？ 明天00:00开始薄荷公益站限时注册一天 公益站地址：https://x666.me 468 个帖子 - 436 位参与者 阅读完整话题
全文手打！希望佬们看的爽 许可：CC BY-NC-ND 4.0 我想说 正直六月，今天是高考的第三天，也是高考最后的一天。想到四年前我也走进了考场，心里有一种冲动，想给从高中毕业进入大学的同学写一些东西。于是我便写下了这篇不算文章的文章。本篇作为礼物送给大家。愿大家在大学与生活中不再迷茫。 由于没有人指导，我的大学生活其实算得上比较失败了。 现在将时间拨回 2022 年。疫情几乎贯穿了我整个高中生涯。同时，新高考的政策也打了 22 届考生一个措手不及。新高考一卷让许多考生无法释怀。 不过这些对我来说并没有太大的影响。感谢我的高中母校，提供了海外本硕连读的机会，也感谢我的家庭的资金支持。 对我来
本帖使用社区开源推广，符合推广要求。我申明并遵循社区要求的以下内容： 我的帖子已经打上 开源推广 标签： 是 我的开源项目完整开源，无未开源部分： 是 我的开源项目已链接认可 LINUX DO 社区： 是 我帖子内的项目介绍，AI生成、润色内容部分已截图发出： 是 以上选择我承诺是永久有效的，接受社区和佬友监督： 是 以下为项目介绍正文内容，AI生成、润色内容已使用截图方式发出 时隔一月，总算攒了点内容，大家自行探索吧 GitHub Release v0.2.16 · Lingyan000/fluxdo [0.2.16] - 2026-06-09 🌟 新功能 俺也一样: OP 帖底部 ME
今晚预计清理掉不用的账户，到时候又能腾出些名额来了 234 个帖子 - 209 位参与者 阅读完整话题
刚准备躺下打开手机就看到这个标题的推文，看不懂的操作，一边拿标题引流，内容全是吐槽diss 39 个帖子 - 34 位参与者 阅读完整话题
如题 198 个帖子 - 121 位参与者 阅读完整话题
今天终于天晴了，不白来 40 个帖子 - 18 位参与者 阅读完整话题
三年的高中生活就这样结束了。想想这三年学习有多苦，每次在学校模拟考试的时候有多紧张，每次看到分数，高兴与难过。还有在学校，还跟同学的打打闹闹，甚至还有吵架等杂七杂八的经历。仔细想想，就这么结束了，也是挺… 34 个帖子 - 33 位参与者 阅读完整话题
https://chatgpt.com/?promoCode=cloudlogicallyus 长链接现在只能手搓，看教程学习下，我花了15分钟看明白流程。但其实点两三下鼠标就搞定了，比较简单。 https://linux.do/t/topic/2144228 69 个帖子 - 37 位参与者 阅读完整话题
今年一月份刚开的户。没办法，身边同事天天炒股，中午吃完饭遛弯，耳朵里全是大盘、主升浪、板块啥的。我寻思我也没碰过这玩意儿，加上最近工作也确实乏味，要不学学？一开始真挺老实的，天天看新闻、盯盘，就想学点基础知识。 结果后来手痒了。先是买了点场内基金，嘿，居然赚了！尝到甜头之后彻底坐不住了，直接选股、加仓、一把梭！好家伙，直接山顶站岗。眼睁睁看着它一路阴跌，眼看要腰斩了，我想着行情这么好不能死扛啊，得，割肉！接着换下一只，靠，又是山顶站岗！历史惊人地相似，不过这次我学聪明了一点，跌了几天果断割肉，没死拿。 后面又试了几只票，全是同一个剧本：刚进去涨一点，马上开始跌。我这头铁的劲儿也上来了，总觉得‘