Python · ★ 132,337 · 🍴 9,060 · 📈 2,470 stars today
Python tool for converting files and office documents to Markdown.
中文介绍 微软开源的 Python 工具，可将 PDF、Word、Excel、PowerPoint 等各类办公文档及文件批量转换为 Markdown 格式。适合需要将文档内容接入 LLM 处理管道、构建知识库或进行文本预处理的开发者，简化了文档格式标准化流程。
Python · ★ 71,934 · 🍴 10,315 · 📈 2,768 stars today
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
中文介绍 基于 AI 大模型的一键短视频生成工具，输入主题或关键词即可自动完成文案撰写、素材匹配、语音合成和视频合成全流程，输出高清成品视频。适合内容创作者、自媒体运营者快速批量制作抖音、视频号等平台的短视频内容。
Python · ★ 128,388 · 🍴 20,953 · 📈 592 stars today
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
中文介绍 Anthropic 官方发布的终端驻留式 AI 编程助手，基于 Claude 模型，能理解整个代码库上下文，支持执行日常编码任务、解释复杂代码逻辑、自动处理 Git 工作流等。面向专业开发者，以 agentic 方式深度融入命令行开发环境，提升编码效率。
TypeScript · ★ 1,455 · 🍴 118 · 📈 205 stars today
Cursor plugin specification and official plugins
中文介绍 Cursor 编辑器的官方插件规范仓库，定义了插件接口协议并收录官方插件实现。供第三方开发者参照规范构建 Cursor 生态插件，也是了解 Cursor 插件系统架构设计的参考资料。
HTML · ★ 4,253 · 🍴 625 · 📈 55 stars today
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
中文介绍 一个元技能（meta-skill）框架，能够根据特定领域自动设计 Agent 团队结构、定义各角色专属 Agent 并生成其所需技能。适用于需要构建多 Agent 协作系统的开发者，可快速搭建针对复杂任务的领域专用智能体编排方案。
TypeScript · ★ 18,414 · 🍴 1,392 · 📈 349 stars today
Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more
中文介绍 Every 公司出品的 Compound Engineering 官方插件，兼容 Claude Code、OpenAI Codex、Cursor 等主流 AI 编程工具。帮助开发者在多个 AI 编码平台中统一接入 Compound Engineering 工作流，提升跨工具协作体验。
JavaScript · ★ 199,284 · 🍴 30,600 · 📈 908 stars today
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
中文介绍 面向 Claude Code、Codex、Opencode、Cursor 等 AI 编程工具的 Agent 性能优化系统，涵盖技能管理、本能行为、记忆机制、安全策略和研究优先开发模式。旨在提升 AI Agent 在复杂编程任务中的执行效率与可靠性。
Python · ★ 22,747 · 🍴 2,672 · 📈 779 stars today
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
中文介绍 OpenBMB 团队推出的免 Tokenizer 多语言 TTS 模型 VoxCPM2，支持高保真多语言语音生成、创意音色设计和高度逼真的声音克隆。适用于语音合成研究、有声内容制作及个性化语音应用开发场景。
Python · ★ 1,456 · 🍴 164 · 📈 318 stars today
A platform for reproducible world model research and evaluation
中文介绍 专注于世界模型（World Model）研究的可复现性平台，提供标准化的实验环境、评估基准和研究工具。帮助 AI 研究人员在统一框架下开展世界模型训练与评测工作，降低实验结果不可复现的问题。
TypeScript · ★ 27,350 · 🍴 2,683 · 📈 469 stars today
Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
中文介绍 Project N.O.M.A.D 是一套完全离线的自给自足生存计算机系统，内置关键工具、知识库和本地 AI，无需联网即可使用。适用于野外探险、应急救灾、断网环境等极端场景，为用户提供随时随地的信息支持与决策辅助。
Rust · ★ 7,897 · 🍴 465 · 📈 925 stars today
A fast, helpful, and open-source document parser
中文介绍 LlamaIndex 团队开源的轻量级文档解析器，追求快速、实用，支持多种文档格式解析。适合需要将 PDF、Word 等文档内容高效提取并接入 RAG 管道或 LLM 应用的开发者，是 LlamaParse 的轻量开源替代方案。
Dart · ★ 40,356 · 🍴 2,524 · 📈 187 stars today
A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.
中文介绍 基于 ClashMeta 内核的跨平台代理客户端，使用 Flutter 开发，支持 Windows、macOS、Linux、Android 等多平台。界面简洁易用，完全开源且无广告，适合需要稳定多协议代理管理的普通用户和技术用户。
Jupyter Notebook · ★ 2,238 · 🍴 371 · 📈 327 stars today
A straightforward method for training your LLM, from downloading data to generating text.
中文介绍 从零训练大语言模型的系统性教程，覆盖数据下载、预处理、模型架构搭建、训练到文本生成的完整流程。以简洁直观的方式讲解 LLM 训练原理，适合希望深入理解大模型底层机制的学习者和研究者。
Rust · ★ 68,886 · 🍴 9,184 · 📈 655 stars today
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
中文介绍 利用普通 WiFi 信号实现实时空间感知的系统，无需摄像头即可完成人员存在检测、生命体征监测和空间智能分析。通过分析 WiFi 信号变化推断物理空间状态，适用于隐私敏感场所的安防监控、健康监测等场景。
Jupyter Notebook · ★ 41,785 · 🍴 8,286 · 📈 274 stars today
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
中文介绍 DataTalks.Club 出品的免费 9 周数据工程训练营，系统讲授构建生产级数据管道所需的核心技能，涵盖数据摄取、转换、编排及云平台部署等内容。下一期将于 2026 年 1 月开始，适合希望转型或提升数据工程能力的从业者。
Python · ★ 2,626 · 🍴 236 · 📈 62 stars today
MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental soun
中文介绍 MOSI.AI 与 OpenMOSS 团队联合开源的高保真语音与音效生成模型家族，针对高表现力、复杂真实场景进行优化，支持多种语音生成任务。适用于语音合成研究、影视配音、虚拟助手及需要精细音色控制的音频应用开发。
Python · ★ 11,763 · 🍴 2,090 · 📈 73 stars today
自动化上传视频到社交媒体：抖音、小红书、视频号、tiktok、youtube、bilibili
中文介绍 多平台视频自动化上传工具，支持抖音、小红书、视频号、TikTok、YouTube、Bilibili 等主流社交媒体。帮助内容创作者和运营团队实现视频一次制作、多平台批量发布，显著降低重复操作成本，适合有批量发布需求的自媒体运营者。
Python · ★ 144,115 · 🍴 16,984 · 📈 454 stars today
Public repository for Agent Skills
中文介绍 Anthropic 官方维护的 Agent Skills 公开仓库，收录可供 AI Agent 调用的标准化技能实现。开发者可参考或直接复用这些技能模块来扩展 Claude Code 等 Agent 的能力边界，适合构建自定义 agentic 工作流的开发者使用。
Markdown · ★ 508,216 · 🍴 48,241 · 📈 817 stars today
Master programming by recreating your favorite technologies from scratch.
中文介绍 通过从零复现经典技术项目来深入掌握编程原理的学习资源合集，涵盖自建 Git、Docker、数据库、编译器、Web 服务器等数十类项目的教程汇总。适合希望突破"只会调用不懂原理"瓶颈、通过实践强化底层理解的开发者。
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Vision-language models (VLMs) achieve strong performance on spatial reasoning benchmarks, yet it remains unclear whether this reflects structured 3D understanding or reliance on statistical shortcuts in natural images. We introduce a representation-level analysis framework that constructs minimal co
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Robot manipulation critically depends on perception that preserves the action-relevant aspects of a scene. Yet most robot learning pipelines are built upon visual encoders pre-trained for static recognition or vision-language alignment, leaving motion understanding to downstream policies. We introdu
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Recent advances in Vision-Language Models (VLMs) have achieved impressive performance across many tasks, yet prior studies report unsatisfactory performance when applying large language or multimodal models to finding abnormal patterns in sequential data. Public anomaly detection benchmarks typicall
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Large language models (LLMs) exhibit systematic political bias across a variety of sensitive contexts. We find that LLMs handle counterpart topics from opposing political sides asymmetrically. We refer to this phenomenon as covert political bias and identify 7 categories of techniques through which
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One-shot Program-of-Thought (PoT) emits a Python program that prints a primitive-action plan; a single invalid action silently invalidates the trajectory. We introduce RePoT (Recoverable PoT): a deterministic verified replay that walks the plan through the environment to its first invalid transition
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Explaining why dense retrievers assign high relevance scores remains challenging because retrieval decisions are made through opaque high-dimensional embeddings. Existing explanations often focus on surface signals, such as lexical matches, token alignments, or post-hoc textual rationales, and thus
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Tool retrieval over large API catalogs is a core bottleneck for LLM agents: user queries arrive in colloquial, often underspecified language, while the catalog uses technical API vocabulary that no fixed encoder can bridge on its own. The two dominant training approaches, contrastive encoder fine-tu
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Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is still hindered by the inefficiency introduced by processing massive amounts of visual tokens. Although recent approaches achieve extremely low token ret
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The design space of agentic AI inference spans two extremes: frontier large language models (LLMs), typically hosted in the cloud and offering strong performance across a wide range of tasks at substantially high cost, and more cost-efficient small language models (SLMs), which are amenable to on-de
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Natural generation allows Large Language Models (LLMs) to produce free-form responses with rich reasoning, yet the lack of structure makes outputs difficult to verify. Conversely, constrained decoding ensures standardized formats but can inadvertently restrict reasoning capabilities by imposing cons
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We address the task of generating physically accurate and visually faithful 4D Human-Object Interaction (HOI). Given a static 3D human and target object represented as 3D Gaussian Splats (3DGS), our goal is to synthesize dynamic scenes where the human actively engages with the object through actions
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Activation-based control steers large language models (LLMs) by intervening on their internal representations during inference, and has emerged as an effective paradigm for controlling behaviors such as persona and style. However, existing methods often rely on fixed steering directions or task-spec
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We study two-level autoresearch for cooperation: an outer-loop AI agent autonomously redesigns the inner-loop pipeline of an LLM policy-synthesis system for multi-agent Sequential Social Dilemmas (SSDs). A researcher agent R (run as a coding agent) reads the inner-loop source code, edits system prom
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Applying reinforcement learning to improve factual accuracy in knowledge-intensive question answering faces a reward design dilemma. Response-level rewards provide only coarse supervision and cannot distinguish correct from incorrect statements within a reasoning trace. Sentence-level alternatives o
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Large Language Models (LLMs) have advanced autonomous agents from deep search, which retrieves concise factual answers, to deep research, which synthesizes scattered evidence into long-form reports. However, verifiable multimodal deep research remains challenging due to open-ended synthesis without
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Diffusion models achieve state-of-the-art image synthesis, with their generative trajectories fundamentally exhibiting a spectral bias, resolving low-frequency global structures early and high-frequency fine details later. Conventional stochastic differential equation (SDE) solvers fail to account f
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We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents. Unlike prior evaluations, CausaLab evaluates both whether an agent can solve a problem using causal evidence and whether its answer is grounded in a faithful recovered causal mechanism. Each epis
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We show that LoRA adapters, the dominant distribution format for fine-tuned LLMs, can be reliably backdoored through training data poisoning while preserving baseline task performance. On a Qwen 2.5 1.5B prompt-injection classifier, a small fraction of poisoned examples drives a clean-accuracy-prese
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As video diffusion models (VDMs) advance toward world models, a key question arises: do they truly understand causality, or merely overfit to statistical temporal patterns? Existing benchmarks mostly rely on synthetic data, limiting real-world generalization due to the sim-to-real gap. We present Yo
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A central bottleneck for phone-use agents is that controllable, reproducible environments covering real mobile behavior are hard to build at scale. Existing mobile-agent benchmarks have made important progress on evaluation, but they do not by themselves provide a scalable way to construct many new
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Multimodal large language models are increasingly deployed as long-horizon agents, where memory must do more than recall: it must track an evolving world, revise what has gone stale, and surface the right evidence at decision time. Existing benchmarks measure recall over static dialogue, collapse me
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The rapid growth in submissions to machine learning venues has strained the scientific peer-review system and intensified interest in LLM-based automated peer reviewers. However, how good these systems are actually, especially compared to human reviewers at catching scientific gaps, remains poorly u
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Pointwise reward modeling offers critical signals for LLM post-training, yet struggles with absolute scoring in subjective, non-verifiable settings. Rubric-based methods address this by decomposing evaluation into explicit criteria, but existing approaches typically depend on frontier LLMs and suffe
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Equipping large language models with explicit skills has emerged as a promising paradigm for enabling autonomous agents to solve complex tasks. Agent skills can be inherently divided into general skills for broad cognitive transfer and task-specific skills for dynamic execution. However, existing sk
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Recent advances in multimodal web agents often rely on increased inference-time computation, including rollout search, verifier passes, offline skill discovery, and specialist model stacks. This raises a central question: can a web agent become more efficient as it accumulates experience, rather tha
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Reinforcement Learning from Human Feedback (RLHF) is the standard method to align Large Language Models (LLMs) with human preferences. In this work, we introduce alignment tampering, a potential vulnerability where the LLM undergoing alignment influences the preference dataset, causing RLHF to ampli
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Long-horizon LLM inference turns the key--value (KV) cache into the dominant GPU memory consumer and makes per-token attention increasingly expensive. Many common eviction policies use static recency windows or historical attention, leaving unused a signal computed on every decoding step: the model'
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Occlusion-aware prediction remains a critical challenge in autonomous driving due to the inherent uncertainty of unobserved regions. Existing approaches either overestimate risk based on reachable states or struggle to predict accurate trajectories under high occlusion uncertainty. To address these
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Large language models (LLMs) have become increasingly capable of following instructions and complex reasoning, making prompting a flexible interface for adapting models without parameter updates. Yet prompt design remains labor-intensive and highly sensitive to formatting, phrasing, and instruction
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Smartphone scams are increasingly prevalent and typically manifest as multi-stage, cross-application processes with gradually emerging intent. Effective intervention thus requires anticipating scams before the intent becomes explicit. This is inherently challenging, as decisions must rely on partial
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a quiet day lets us highlight the new AIE WF focuses
中文介绍 Latent Space发布AI新闻简报，聚焦创始人与前线部署工程师相关动态，重点介绍新一期AIE工作流的应用方向。整体为较平淡的一天，内容以行业工具与工程实践为主。
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
中文介绍 波士顿儿童医院与OpenAI合作，利用其AI技术改善患者护理、降低运营负担，并已协助诊断逾40例罕见疾病案例，为医疗诊断领域的AI应用提供了实践范本。
How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
中文介绍 Braintrust工程团队将OpenAI的Codex与GPT-5.5结合使用，加速代码实验与开发流程，实现将客户需求快速转化为可运行代码，提升研发效率。
Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we ente
中文介绍 教皇利奥十四世发布题为《宏大人性》（Magnifica Humanitas）的通谕，就人工智能议题发声，强调「技术从不中立」，呼吁技术人员与政策制定者以勇气和责任感应对AI时代挑战，为个人行动提供伦理框架。
**Anthropic** rolled out **Claude Opus 4.8**, which shows incremental improvements but mixed benchmark results, including better cooperation and coding behavior but some regressions in document parsing. Platform updates include mid-conversation system instructions enhancing long agent sessions, thou
中文介绍 Anthropic推出Claude Opus 4.8，在合作能力与编程行为上有所改进，但文档解析出现部分退步，基准测试结果喜忧参半。平台还新增对话中途修改系统指令功能，整体属渐进式迭代更新。
OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.
中文介绍 OpenAI正式推出Rosalind Biodefense项目，面向经审核的开发者及美国政府合作方开放GPT-Rosalind的访问权限，重点支持生物防御、公共卫生及大流行病防备工作，以前沿AI强化社会韧性。
Total Anthropic victory!
中文介绍 Anthropic完成H轮融资，同步发布Claude Opus 4.8模型及Dynamic Workflows、ultracode等新功能。Latent Space简报以「Anthropic全面胜利」形容此次进展，标志其在AI竞争格局中的重要地位提升。
OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.
中文介绍 OpenAI发布第三方AI评估指导框架，涵盖如何评估前沿模型的能力、安全防护措施及评估有效性，旨在为行业建立可信、标准化的第三方评测共同规范。
中文介绍 Hugging Face发布PyTorch性能分析系列教程第一篇，面向初学者介绍torch.profiler工具的基本使用方法，帮助开发者识别模型训练与推理过程中的性能瓶颈。
中文介绍 TLDR AI日报聚焦三大要闻：Anthropic发布Claude Opus 4.8并完成估值9650亿美元的融资；微软推出新一代编程专用AI模型。为当日AI行业核心动态的综合摘要。
80% Devin Commits, Spec-to-PR Workflows, Full VMs, Agent Memory, and PMs Shipping Code
中文介绍 Latent Space访谈Cognition联合创始人Walden Yan与OpenInspect的Cole Murray，探讨异步智能体时代的工作模式，涵盖Devin代码提交率达80%、规格到PR工作流、完整虚拟机、智能体记忆及产品经理直接参与编码等议题。
Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.
中文介绍 科技服务公司Endava借助OpenAI Codex构建智能体化组织，实现软件交付加速，并将需求分析周期从数周压缩至数小时，展示了Codex在企业级敏捷研发中的实际应用成效。
It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. “I can…
中文介绍 MIT科技评论AI炒作指数报道显示，前谷歌CEO埃里克·施密特在亚利桑那大学毕业典礼上呼吁毕业生参与AI发展，遭到全场嘘声。事件折射出公众对AI热潮的普遍疑虑，与行业乐观叙事形成明显落差。
coding is an uncapped TAM market
中文介绍 AI编程公司Cognition完成10亿美元D轮融资，公司估值达260亿美元。Latent Space简报将此定性为编程赛道市场空间无上限的体现，凸显AI代码生成领域的持续高热度。
**Anthropic** announced a massive **$65B Series H financing** at a **$965B valuation**, led by **Altimeter, Dragoneer, Greenoaks, and Sequoia**, with run-rate revenue surpassing **$47B**. They launched **Claude Opus 4.8**, an update to Opus 4.7 featuring "sharper judgment," "more honesty," and longe
中文介绍 Anthropic宣布完成650亿美元H轮融资，投后估值达9650亿美元，领投方包括Altimeter、Dragoneer、Greenoaks及Sequoia，当前年化营收已超470亿美元。同步发布Claude Opus 4.8，主打「更敏锐判断力」，并推出Dynamic Workflows等新功能。
本期技术面呈现出明显的板块分化格局。美股方面，S&P 500 ETF（SPY）与 Nasdaq 100 ETF（QQQ）均维持多头排列，RSI14 分别达到 74.1 与 77.2，双双进入超买区间，两者距 52 周高位仅 -0.21% 与 -0.45%，动量延续但短线过热信号需关注。Microsoft 单日暴涨 5.45%，MACD 金叉确认，但价格仍压制于 SMA200（458.46）之下，趋势尚处中性。NVDA 与 GOOGL 当日分别下跌 -1.45% 与 -2.51%，GOOGL 的 MACD 柱状图出现明显负向背离，短线动量有所减弱。加密市场整体处于弱势状态：加密恐慌贪婪指数仅为 28（恐慌区间），加密总市值 2.58 万亿美元，24 小时变化 +0.75%，BTC 主导率 57.3% 显示资金向比特币集中防守。BTC 与 ETH 的 RSI14 分别为 37.4 与 33.0，空头排列结构完整，MACD 绿柱持续扩张，技术面偏空。中概股方面，阿里巴巴、拼多多、京东、腾讯控股均处于空头排列，PDD 5 日跌幅达 -13.65%，腾讯 RSI14 降至 31.0，接近超卖。商品与外汇方面，黄金期货当日反弹 2.08% 但 MACD 仍为负值，WTI 原油 5 日跌幅 -9.33%，RSI14 37.9；美元兑人民币 RSI14 跌至 30.6 接近超卖，空头排列叠加 MACD 死叉。宏观指标方面，VIX 恐慌指数报 15.32，5 日下行 -8.26%，低于各均线，市场情绪整体偏温和；10Y 美债收益率 4.45%，MACD 死叉初现，短线有走弱倾向。
当前价 738.31 美元，5 日涨幅 3.33%，距 52 周高位仅 -0.45%，处于多头排列（SMA20 709.04 > SMA50 652.93 > SMA200 617.85）。MACD 金叉确认，macd 21.47 与 macdSignal 21.44 几乎同步上行，动量延续。RSI14 达 77.2，进入深度超买区间，短期技术面存在回调压力，但整体趋势判定仍为「bullish」。
当日大幅拉升 5.45%，5 日涨幅 7.43%，但当前价 450.24 仍低于 SMA200（458.46），形成多空分歧：SMA20（417.59）与 SMA50（402.83）支撑结构完整，而 SMA200 构成上方阻力。MACD 金叉（macd 5.80 > macdSignal 4.12）发出短线动量信号，RSI14 69.6 接近超买边界但尚未越过，趋势判定为「neutral」，方向尚不明朗。
当前价 84.44 美元，5 日跌幅高达 -13.65%，距 52 周高位 -39.43%。空头排列明显：SMA20 95.79 > SMA50 98.42 > SMA200 113.23，三线均在价格上方。MACD 死叉确认（macd -3.20，macdSignal -1.80，柱状图持续扩大负值），RSI14 降至 32.3，接近超卖区域。趋势判定「bearish」，下行动量显著。
当前价 73,779 美元，5 日跌幅 -4.53%，距 52 周高位 -41.54%。三均线空头排列（SMA20 77,157 / SMA50 77,221 / SMA200 79,663 均压于价格上方）。MACD 深度负值（macd -1030.17，macdSignal -456.16，绿柱继续扩大），RSI14 37.4 偏弱但未超卖。结合加密恐慌贪婪指数 28（恐慌区间），技术面与情绪面共同指向空头格局。
当前价 4,593 美元，当日涨幅 2.08%，价格已突破 SMA20（4,589.69）并接近该均线，但 SMA50（4,630.27）仍构成近端阻力。MACD 仍为负值（macd -51.49，macdSignal -47.18），绿柱尚未翻红，动量修复中。RSI14 46.5 居于中性区，趋势判定「neutral」，上方需要有效突破 SMA50 才能改变当前格局。
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
本报告仅基于公开行情数据的技术指标进行客观描述，过去走势不代表未来表现，所有指标读数及形态描述均仅供技术指标解读参考，不构成任何投资建议或买卖依据，投资者应结合自身判断审慎决策。
Meanwhile Marles tells Shangri-La Dialogue delegates that ‘seabed is a battlefield’. Follow updates live Get our breaking news email, free app or daily news podcast Clare O’Neil says the Albanese government wants to work quickly to iron out the issues in its plan to reform taxes on capital gains. Th
中文摘要 澳大利亚宣布在AUKUS框架下重大政策调整，将仅从美国购买二手核潜艇。国防部长马尔斯在香格里拉对话上警告"海底是战场"。与此同时，工党议员克莱尔·奥尼尔表示，阿尔巴尼斯政府希望尽快推进税改计划相关问题的解决。独立参议员汉森称自己有能力出任总理。
From enigmatic KGB agent to wartime ruler, this is how Putin has repeatedly reinvented his image, and himself.
中文摘要 BBC回顾普京的形象塑造历程：从神秘的克格勃特工到战时最高领导人，普京数十年间多次重塑自身公众形象，通过精心设计的媒体策略和政治叙事，不断强化其在国内外的权威地位。
A former member of the Resistance, he went on to a career spanning eras and disciplines. His books and pronouncements carried moral authority.
中文摘要 法国著名思想家埃德加·莫兰于104岁辞世。他曾参加二战抵抗运动，此后学术生涯横跨多个时代与学科，著作丰厚，被誉为法国知识界"祖父级"人物，其著述与公开表态长期被视为具有道德权威。
A provision in the 2027 draft US defence bill could bind the two countries' weapons industries closer than ever.
中文摘要 美国国会正推进一项美以军事一体化计划，相关条款已纳入2027年度国防授权法案草案。该条款若获通过，将使美以两国武器工业实现前所未有的深度整合，进一步强化双方国防工业合作关系。
The brand's first EV has been heavily criticised, with some saying it has abandoned Ferrari's roots.
中文摘要 法拉利推出品牌首款纯电动车型"Luce"，却遭到大量批评。不少消费者和业界人士认为该车型背离了法拉利的传统根基与品牌精神，此前法拉利曾将该车型定位为挑战中国电动车市场的重要产品。
Minister at Singapore defence summit also reveals Australia to buy only secondhand Aukus submarines from US Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast The defence minister, Richard Marles, has said the “seabed is a battlefield”
中文摘要 澳大利亚国防部长马尔斯在新加坡香格里拉防务峰会上表示，"海底已成为战场"，强调新型AUKUS无人潜艇将用于保护关键海底电缆。他同时透露，澳大利亚将仅从美国购买二手AUKUS核潜艇，并呼吁中国提升军事透明度。
In Colombia, FARC dissidents say they returned to war after a historic peace deal failed to deliver security
中文摘要 半岛电视台独家专访哥伦比亚FARC反叛派系成员。该派系称，由于历史性和平协议未能切实保障安全，他们被迫重返武装冲突。此次采访揭示了哥伦比亚和平进程面临的严峻挑战。
Aid agencies are racing to help underequipped health workers in the Democratic Republic of Congo. More than 245 people are now suspected to have died from the virus.
中文摘要 刚果民主共和国埃博拉疫情持续蔓延，目前已有逾245人疑似死亡。当地医疗资源严重匮乏，医护人员装备不足，多个援助机构正紧急介入，加速向一线医疗人员提供支援与防护物资。
Geopolitical analyst Joe Macaron says the Lebanese army is ‘overly stretched’ as Israeli troops expand their occupation.
中文摘要 地缘政治分析人士乔·马卡隆表示，随着以色列军队持续扩大在黎巴嫩的占领范围，黎巴嫩军队已"严重超负荷"，难以有效抵御最新一轮以色列军事行动，黎巴嫩安全局势持续恶化。
The medical charity's comments come as the head of the World Health Organization visits the region worst-hit by the virus outbreak.
中文摘要 无国界医生组织警告，刚果民主共和国埃博拉疫情扩散态势"令人深感忧虑"。世界卫生组织总干事已赴疫情最严重地区视察，国际社会正加强对当地应对能力的关注与支持。
President Trump has not yet decided whether he'll extend a ceasefire with Iran, and Israel continues to attack targets in Lebanon, in spite of a ceasefire there.
中文摘要 美国总统特朗普表示，与伊朗达成停火延长协议"指日可待"，但核心分歧尚未解决，其本人尚未决定是否正式延长停火。与此同时，以色列继续对黎巴嫩目标发动袭击，无视现行停火协议。
A controversial law allows Israel to hold Palestinians in prison without charge or trial. Israel says it's a necessary for security, but rights groups say it leaves detainees in a legal limbo.
中文摘要 逾千名来自加沙的巴勒斯坦人被以色列在未经起诉、未经审判的情况下羁押。以色列援引一项特殊法律为此辩护，称此举出于安全需要；人权组织则批评该做法使被拘者陷入法律真空，严重侵犯其基本权利。
Farmers report thousands of mice per hectare destroying crops and invading homes.
中文摘要 澳大利亚农民正遭受严重鼠患侵袭，部分地区鼠群密度高达每公顷数千只，大量农作物被毁，鼠群还入侵民居。农民形容现场景象"如同腐烂的躯体"，鼠灾对农业生产和日常生活造成严重冲击。
Ecuadorian leader Daniel Noboa offers to cancel tariffs after speaking to a right-wing presidential candidate ahead of Sunday's vote.
中文摘要 厄瓜多尔总统诺沃亚被指干预哥伦比亚选举：在周日大选前夕，他与一名右翼总统候选人通话后，公开承诺取消对哥伦比亚商品征收的关税，此举被批评方视为对邻国选举进程的政治干预。
Women bear the brunt of DRC's Ebola outbreak.
中文摘要 在刚果民主共和国埃博拉疫情中，女性群体受到的冲击尤为严重。由于女性承担主要照护角色，更频繁接触患者，感染风险显著高于其他群体，凸显出疫情对性别的不对等影响。
The brand's first EV has been heavily criticised, with some saying it has abandoned Ferrari's roots.
中文摘要 法拉利首款纯电动汽车Luce发布后遭到强烈批评，部分人士认为该车型背离了法拉利的品牌根基与传统。此前，法拉利推出这款车型的初衷之一是与中国电动车品牌展开竞争，但新车设计与定位引发外界广泛争议与反弹。
International Monetary Fund Managing Director Kristalina Georgieva and Venezuelan economic official Calixto Ortega held talks in Washington, the IMF head’s first in-person meeting with country’s authorities since the fund resumed formal engagement with Venezuela last month.
中文摘要 国际货币基金组织总裁克里斯塔利娜·格奥尔基耶娃与委内瑞拉经济官员卡利克斯托·奥尔特加在华盛顿举行会谈，讨论经济稳定问题。这是IMF上月恢复与委内瑞拉正式接触以来，格奥尔基耶娃与该国官员的首次面对面会晤。
French club triumph in penalty shootout over London side in win for Gulf sovereign wealth over US capital
中文摘要 巴黎圣日耳曼队在欧冠决赛中通过点球大战击败阿森纳，成功卫冕欧洲冠军联赛冠军。此役被视为中东主权财富资本对阵美国资本的较量，背后折射出顶级足球俱乐部所有权的全球资本博弈格局。
Jobs week is coming up in the US, with a whole slate of indicators on the state of the labor market culminating on Friday with the government’s official report on employment for the month of May.
中文摘要 本周美国迎来就业数据密集发布期，多项劳动力市场指标将相继公布，并于周五以政府5月官方就业报告收官。市场预期报告将显示就业稳健增长、失业率维持平稳，投资者将密切关注数据对美联储政策路径的影响。
The Brazilian government extended by two months measures to contain the rise in fuel prices triggered by the conflict in Middle East.
中文摘要 巴西政府宣布将抑制燃油价格上涨的相关管控措施延长两个月。此前，中东冲突导致国际油价上涨，进而推高巴西国内燃油价格，政府为此出台了一系列价格管控举措以缓解通胀压力。
Paramount Skydance Corp. stretched, then stretched, then stretched again in its audacious $110 billion takeover bid for Warner Bros. Discovery Inc.
中文摘要 派拉蒙·天空舞公司为完成对华纳兄弟探索公司总价约1100亿美元的杠杆收购交易，正竭尽全力推销相关LBO债务，多次拉伸交易条款以吸引买家，此次收购规模堪称市场罕见。
Masayoshi Son places France at the centre of his global AI ambitions
中文摘要 软银创始人孙正义承诺向法国投资750亿欧元，用于在法国建设欧洲最大的人工智能基础设施。此举将法国置于孙正义全球AI战略布局的核心位置，进一步加码软银在人工智能领域的押注。
The news doesn’t stop when markets close. Hosts David Gura, Christina Ruffini and Lisa Mateo bring clarity, context and a bit of humor to the weekend’s biggest headlines, LIVE from New York. Joined by The Associated Press International Correspondent Philip Crowther, Fmr. CDC Director Dr. Tom Frieden
中文摘要 彭博电视周末节目于2026年5月30日在纽约现场直播，主持人David Gura、Christina Ruffini和Lisa Mateo对当周重大新闻进行梳理解读，并邀请美联社国际记者Philip Crowther及前美国疾控中心主任等嘉宾参与点评。
Dr. Martin Lemelle, Jr., Grambling State University President says he views running his HBU like an enterprise (Source: Bloomberg)
中文摘要 格兰布林州立大学校长小马丁·勒梅尔博士表示，他将管理这所历史悠久的黑人大学（HBCU）视同运营一家企业，强调以商业化思维提升学校的运营效率与竞争力。
Known locally as Crossword, Scrabble took off in Thailand in the 1980s after schools embraced it as a teaching aid and pathway to advancement. Much like athletic scholarships in the US, strong players can secure financial assistance and preferential admission to top universities, creating a pipeline
中文摘要 泰国在拼字游戏Scrabble（当地称「Crossword」）领域表现突出，该游戏自1980年代起在泰国学校推广，成为英语教学工具。优秀选手可借此获得奖学金及顶尖大学优先录取资格，机制类似美国体育奖学金。
The rush to build AI data centers is drawing trillions of dollars in investment and long-term bets from infrastructure firms such as DigitalBridge. But in communities where those facilities are being built, residents and officials are raising concerns about electricity costs, water use, noise, trans
中文摘要 AI数据中心建设热潮吸引数万亿美元投资涌入，DigitalBridge等基础设施公司积极布局。然而，数据中心所在社区的居民和官员对电力成本上涨、水资源消耗及环境影响表达了担忧，AI扩张与本地社区利益的冲突日益凸显。
Travel restrictions and border closures are hindering the response to Ebola as aid workers say they are battling to get to some of the areas where the outbreak has been the most vicious. Former Center of Disease Control and Prevention Director Dr. Tom Frieden joined Christina Ruffini and David Gura
中文摘要 最新一轮埃博拉疫情引发全球公共卫生警惕，旅行限制和边境关闭严重阻碍救援响应，援助人员难以抵达疫情最严峻地区。前美国疾控中心主任汤姆·弗里登博士对此发出警告，强调疫情防控面临严峻挑战。
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24OpenClaw 现在能爬几乎任何网站，关键是——零反爬检测，原生绕过 Cloudflare，速度比 BeautifulSoup 快 774 倍。 ① 不用维护选择器 这种降维打击级别的工具，还完全开源，不用白不用。 github.com GitHub - D4Vinci/Scrapling: 🕷️ An adaptive Web Scraping framework that handles... 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-
黑暗中的战服还是太耀眼了 15 个帖子 - 11 位参与者 阅读完整话题
产品名字 本次测试DigitalFyre的LAX产品，定位是性能建站型机器。 测试配置为 S2 8 CPU 8 GB RAM 8 TB Bandwidth 65 GB NVme $10.00/mo 本文无AFF，更多相关产品可看原文 网络质量 国内方向三网勉强可以直连(SSH)，丢包还是比较严重的，网络波动较大，不推荐直连使用，推荐作为纯落地使用。这个机器的国际方向带宽给的相当大，10Gbps峰值，在测试中单线程轻松拉到了5Gbps，重传低速度稳定，非常不错的国际网络表现，配置中也给到了8TB的流量，搭配10Gbps口子可以说是非常合适了。 IP质量 IP质量中规中矩，IPV4+IPV6双栈原
这次是今天的最后一波补充额度，100*1,0000,0000,0000额度 cdk.linux.do LINUX DO CDK Linux Do 社区 CDK 快速分享平台 - 让分享变得更简单 42 个帖子 - 36 位参与者 阅读完整话题
昨天师兄说自己窝子出问题了，喊我和师傅过去看看，然后昨天晚上我和师傅过去了只钓了两条半斤的红尾，打了30斤自制玉米，今天过去钓上午又没口，下午继续钓玉米，突然黑漂拖杆，师傅猛然发力补刺，说是草鱼来了，溜了十分钟发现居然上的是条46斤的鱤鱼，上称称了3次，换了3把称（用的2号尼龙线，3号千又） 补一张仰天大笑图，哈哈哈哈哈哈 13 个帖子 - 7 位参与者 阅读完整话题
今天差点闯祸，幸亏没有where条件，数据库给挡了一下。 需求： 参考数据库内容 更新 json文件 AI给出的结果： 根据 json文件 更新 数据库 平时AI表现良好、现在懒得检查AI写的每一行代码， 先上手执行看是否报错。 俺错了，千万不要100%信任AI，要先检查一遍代码。 42 个帖子 - 26 位参与者 阅读完整话题