Shell · ★ 51,708 · 🍴 5,698 · 📈 821 stars today
Production-grade engineering skills for AI coding agents.
中文介绍 面向 AI 编程代理的生产级工程技能库，由 Chrome 团队工程师 Addy Osmani 整理。收录了可直接用于 AI 编码代理的实用技能规范，涵盖代码审查、重构、性能优化等工程实践场景，帮助开发者将 AI 代理快速集成进真实生产工作流，降低从原型到落地的门槛。
★ 14,812 · 🍴 1,617 · 📈 804 stars today
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
中文介绍 面向产品经理的智能技能市场，收录 100 余项 Agentic Skills、命令和插件，覆盖用户调研、策略制定、项目执行、产品发布到增长分析的完整 PM 工作链路。借助 AI 代理框架，产品经理可通过调用预置技能快速完成日常高频任务，大幅提升决策与执行效率。
TypeScript · ★ 14,886 · 🍴 1,027 · 📈 612 stars today
Desktop app to manage markdown knowledge bases
中文介绍 Tolaria 是一款桌面端 Markdown 知识库管理应用，专为需要本地化管理大量 Markdown 文档的用户设计。提供结构化的知识组织与浏览体验，适合技术写作者、研究人员和开发者在离线环境下维护个人或团队知识库，避免依赖云端服务带来的隐私与数据控制问题。
Python · ★ 39,041 · 🍴 3,152 · 📈 2,535 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 一个 AI 代理技能插件，可针对任意话题自动聚合 Reddit、X（Twitter）、YouTube、Hacker News、Polymarket 及开放网络过去 30 天的信息，并利用 LLM 对多源内容进行去噪、综合，输出有据可查的摘要报告。适合研究人员、投资者和内容创作者快速把握某一领域的近期动态。
Python · ★ 31,991 · 🍴 2,339 · 📈 318 stars today
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
中文介绍 开源 OSINT 用户名溯源工具，可跨 3000 余个网站批量查询同名账号并汇总成人物档案。无需 API Key，通过分析公开页面自动提取账号信息、头像、关联平台等数据，生成 HTML/PDF 报告。常用于网络安全调查、数字身份追踪和社工信息收集场景。
★ 139,502 · 🍴 34,590 · 📈 393 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 收录了 Cursor、Claude Code、Devin AI、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）及模型配置。供研究者和开发者分析各工具的行为边界、提示词工程策略，也是逆向理解商业 AI 产品设计思路的重要参考资料。
Shell · ★ 223,573 · 🍴 19,874 · 📈 1,104 stars today
An agentic skills framework & software development methodology that works.
中文介绍 一套面向软件开发的 Agentic Skills 框架，提供切实可行的 AI 代理技能体系与开发方法论。旨在让开发者通过组合预定义技能快速构建能完成真实软件工程任务的 AI 代理，强调工程可落地性，适合希望将 AI 深度集成进开发流程的团队和个人开发者。
Go · ★ 5,193 · 🍴 501 · 📈 354 stars today
Advanced DNS tunneling VPN for censorship bypass, optimized beyond DNSTT and SlipStream with low-overhead ARQ, resolver load balancing, high packet-loss stability and speed.
中文介绍 高性能 DNS 隧道 VPN 工具，专为突破网络审查设计。在 DNSTT 和 SlipStream 基础上优化，引入低开销 ARQ 重传机制、DNS 解析器负载均衡，在高丢包网络环境下仍能保持稳定速度。适合网络受限地区用户将流量伪装成合法 DNS 查询，绕过防火墙封锁。
Python · ★ 84,989 · 🍴 12,135 · 📈 1,389 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。输入主题关键词后，自动完成文案撰写、素材检索、语音合成、字幕生成和视频剪辑全流程，输出高清成品短视频。支持多种 LLM 和 TTS 引擎，适合自媒体创作者和营销团队批量制作内容，大幅降低短视频生产成本。
Python · ★ 2,275 · 🍴 243 · 📈 527 stars today
open-source healthcare ai
中文介绍 面向医疗健康领域的开源 AI 项目，致力于将大语言模型和 AI 技术应用于医疗场景。目标是提供可公开访问、可审计的医疗 AI 基础设施，适合医疗研究机构、开发者和医疗信息化团队在诊断辅助、临床文档处理和医学知识问答等场景中进行二次开发与部署。
Python · ★ 36,515 · 🍴 4,411 · 📈 211 stars today
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
中文介绍 以可视化、示例驱动的方式系统介绍 Claude Code 的使用方法，从基础概念到高级代理构建均有覆盖。提供大量可直接复制粘贴的提示词模板，帮助开发者快速上手并产生实际价值。适合刚接触 Claude Code 的开发者以及希望深化使用技巧的进阶用户。
TypeScript · ★ 819 · 🍴 49 · 📈 64 stars today
One brain for all your agents
中文介绍 为多 AI 代理系统提供统一共享大脑的框架，允许多个代理共享记忆、知识和上下文，解决多代理协作中信息孤岛问题。由 Activeloop 团队开发，适合构建需要跨代理协同推理、长期记忆持久化的复杂 Agentic 应用，如自动化研究助手、多步骤任务执行系统等。
Rust · ★ 72,885 · 🍴 9,727 · 📈 420 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 信号实现无摄像头的空间感知系统。通过分析 WiFi 无线电波的反射与散射特征，实现实时人员存在检测、生命体征监测（如呼吸、心率）和室内定位，保护隐私的同时提供视频级空间智能。适用于智能家居、养老看护、安防监控等对隐私要求较高的场景。
Python · ★ 43,553 · 🍴 3,867 · 📈 695 stars today
We write your reusable computer vision tools. 💜
中文介绍 Roboflow 出品的开源计算机视觉工具库，提供可复用的视觉处理组件，涵盖目标检测后处理、追踪、标注可视化、区域统计等常见任务。与 YOLO、SAM、CLIP 等主流模型无缝集成，帮助计算机视觉工程师减少重复造轮子，快速搭建从原型到生产的视觉应用。
Python · ★ 13,271 · 🍴 1,007 · 📈 211 stars today
Agent Skills for Google products and technologies
中文介绍 Google 官方发布的 AI 代理技能集合，专为 Google 产品和技术栈设计，包含与 Google Cloud、Workspace、Search 等服务交互的预置技能。开发者可将这些技能直接集成到 AI 代理中，实现对 Google 生态系统的自动化操作，适用于企业内部自动化和 AI 应用开发场景。
Python · ★ 5,239 · 🍴 708 · 📈 247 stars today
A straightforward method for training your LLM, from downloading data to generating text.
中文介绍 从零开始训练 LLM 的实用教程项目，流程覆盖数据下载与预处理、Tokenizer 构建、模型架构搭建、训练循环到文本生成的完整链路。代码注释清晰，步骤直观，适合希望深入理解大语言模型内部机制的 AI 学习者和研究者，是入门 LLM 预训练的优质动手实践资源。
Swift · ★ 29,716 · 🍴 829 · 📈 1,611 stars today
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
中文介绍 Apple 官方开源的 Mac 端 Linux 容器运行工具，基于轻量级虚拟机技术实现，使用 Swift 编写并针对 Apple Silicon 深度优化。开发者可在 macOS 上直接创建和运行 Linux 容器，无需依赖 Docker Desktop，适合在 M 系列芯片 Mac 上进行 Linux 环境开发、测试和 CI 工作流集成。
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In this paper, we propose EEVEE, the first multi-dataset test-time prompt learning framework for LLM agents, enabling test-time prompt learning under real-world task streams. Existing methods are largely designed for single-dataset settings, while real-world applications require models to handle het
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Although Large Language Model (LLM) agents have demonstrated strong performance on complex tasks, their learning is often limited by inefficient interaction feedback and static training environments, which hinder broader generalization. To address these limitations, this paper introduces Role-Agent,
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Failures in multi-turn reasoning models are largely invisible to terminal-score evaluation. A model can lock onto an unsafe stance early in a long dialogue, yet its final-turn refusal rate may appear indistinguishable from a robustly aligned baseline. To expose these hidden temporal dynamics, we pro
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Token-level credit assignment remains a key obstacle for reinforcement learning (RL) in large language models (LLMs), where RL recipes typically treat all tokens equally, failing to distinguish decisive reasoning steps from routine formatting or fluent filler. Recent attempts leverage model-internal
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External memory effectively grounds large language models (LLMs) and vision-language models (VLMs)-based question answering (QA) in relevant multimodal evidence. However, existing memory paradigms represent each memory item in raw text and image forms, so retrieval-based systems must pass the retrie
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Reinforcement learning with verifiable rewards (RLVR) has become standard for improving LLM reasoning. However, existing PPO-style trust-region mechanisms remain position-agnostic by enforcing uniform thresholds across all tokens independently. This pointwise treatment conflicts with autoregressive
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Multi-agent systems (MAS) can scale large language model reasoning at test time by decomposing complex problems into parallel subtasks. However, most existing MAS rely on centralized orchestration, where a main agent assigns work, collects outputs, and merges results. As the number of subtasks grows
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Conditioning a language model on additional context, such as feedback on a previous attempt, typically improves its response. Self-distillation trains the model to retain this improvement when the context is not present. The method works by matching the model's output distribution under two settings
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Autoregressive video generation has emerged as a powerful paradigm for World Action Models (WAMs). However, existing approaches suffer from slow training convergence and limited converged accuracy, particularly at high frame rates, as the training supervision is confined to the current chunk without
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We introduce Kwai Keye-VL-2.0-30B-A3B, an open-source Mixture-of-Experts (MoE) multimodal foundation model designed to advance long-video understanding and agentic intelligence. To address the challenges of ultra-long contexts, information redundancy, and prohibitive computational costs inherent in
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We introduce WorldOlympiad, a benchmark for diagnosing video-based world models across physical faithfulness, geometric consistency, and interaction fidelity. While existing benchmarks often focus on visual quality, semantic alignment, or short-term temporal coherence, they provide limited insight i
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Chain-of-thought (CoT) supervised fine-tuning (SFT) is widely adopted to improve reasoning ability, yet we find that it systematically degrades long-context recall in hybrid linear-attention models. Across architectures including HypeNet and Jet-Nemotron, retrieval performance on Needle-In-A-Haystac
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The scalability of Large Language Models (LLMs) to long contexts is fundamentally constrained by the quadratic complexity of standard attention, motivating the adoption of linear attention mechanisms with sub-quadratic cost. To improve representation capacity under long contexts, recent approaches o
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Recent years have witnessed the rapid evolution of AI agents toward handling increasingly complex, real-world tasks. However, existing benchmarks rarely evaluate whether agents can operate graphical user interfaces to complete long-horizon, high-value professional workflows across diverse domains. C
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As deep learning models scale, managing, inspecting, and modifying large checkpoints has become increasingly challenging. Researchers often need to alter model weights for layer restructuring, precision casting, low-rank factorization, and architectural debugging, yet these workflows often rely on f
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Large language models (LLMs) routinely face requests that should be refused, creating a trade-off between helpfulness and harm prevention. However, refusals themselves can be helpful. In high-risk interactions involving crisis, coercion, or escalating intent, blunt non-compliance may prevent direct
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Multimodal large language models (MLLMs) commonly inherit the deep, symmetric Transformer backbone designed for unimodal text modeling, and apply the same computation uniformly to image and language tokens. This design overlooks a key modality asymmetry: image and text tokens differ substantially in
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Reinforcement learning (RL) has become a key component of post-training large language models (LLMs). In practice, LLM RL is often off-policy because of training-inference mismatch and policy staleness, making trust-region control essential for stable optimization. Mainstream methods such as PPO and
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Large language models are increasingly expected to handle complex, long-horizon real-world tasks whose context demands can grow without bound, yet model context windows remain inherently finite. Recent work explores a paradigm where a main agent decomposes tasks and dispatches subtasks to subagents,
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Large language model (LLM)-based agents are increasingly used in interactive textual environments, from web navigation and code editing to tool use and long-horizon dialogue. Yet many remain largely reactive, mapping observations to actions without an explicit model of how these environments are str
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Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because reviewing research papers is labor-intensive. Emerging AI-powered writing assistants largely focus on grammar fixes or simul
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Large Language Model (LLM) safety has often been evaluated at the behavior level, which provides limited evidence of internal robustness, as these evaluations target outputs rather than representation-level vulnerability under intervention. We formalize this discrepancy as the audit gap: the differe
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A growing failure mode in agent evaluation and training is that models can achieve high evaluation scores by exploiting shortcuts instead of solving the intended task, producing deceptive performance. This makes evaluation scores unreliable as measures of true task-solving ability. We propose CapCod
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Current Vision-Language Models struggle with hours-long videos because processing full-length visual sequences induces prohibitive token explosion and attention dilution. To overcome this, we introduce MemDreamer to decouple perception and reasoning, shifting long-video understanding into an agentic
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Deep research agents have attracted increasing attention for their ability to collect large-scale online information to acquire target knowledge, with recent efforts shifting from purely text-based information seeking to multimodal settings. However, existing agentic workflows are largely aligned wi
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Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied in fields ranging from computational pathology to satellite imagery. Nevertheless, existing algorithms struggle in the low-label regime that characte
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Foundational Large Language Models (LLMs) demonstrate proficiency on a wide range of general tasks, and achieve remarkable results on various specialized tasks via domain-expert LLMs. With the ever-growing list of available LLMs, inference routers are being proposed to select the most appropriate LL
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AI agents rely on a harness of skills, tools, and workflows to solve complex problems. Continually improving this harness is essential for adapting to new tasks. However, existing optimization methods typically require ground-truth validation sets, yet such labeled data is difficult to acquire in pr
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Language agents increasingly rely on reusable skills to improve multi-step web automation across related tasks. A growing line of work studies online skill learning, where agents continually induce skills from previous task trajectories and reuse them in future tasks on the fly. However, existing me
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Agent skills occupy a privileged position in the agent workflow, as agents are expected to implicitly follow and execute them, rendering third-party skills a vulnerable attack surface. Existing studies have revealed unsafe agent behaviors induced by skill-based attacks, but they primarily evaluate p
@sairahul1 · 113.0K 粉丝 · 852.6K 阅 · 600 赞 · 79 转
Peter Steinberger, creator of OpenClaw, who now works with OpenAI. Yesterday he posted this: "You shouldn't be prompting coding agents anymore. You should be designing loops that prompt your agents."
中文介绍 OpenAI合作者Peter Steinberger提出：2026年AI工程师应从"手动提示编码智能体"转向"设计驱动智能体的循环系统（Loop）"。帖子解析这一理念的核心逻辑——不再亲自输入指令，而是构建自动化提示循环，标志着AI编程工作流的范式转变。
@saranormous · 143.5K 粉丝 · 194.8K 阅 · 614 赞 · 40 转
The mid-2026 investor's version of AI psychosis is a despair that nothing is investable, that we should put all our money into Anthropic and Nvidia and go home. I have never felt it. I have been sure
中文介绍 作者反驳2026年中期投资圈流行的"AI领域无可投标的"悲观论调——认为只应押注Anthropic和Nvidia。博主表示自己从未有此绝望感，暗示市场存在被低估的投资机会，属于AI投资情绪与判断的观点分享。
@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 连续测试Fable（Mythos系列）模型一周后的详细评测。博主认为该模型体验与定价均属"下一代水准"，感受与其他模型截然不同，同时坦承存在明显怪癖。帖子分"优点"维度逐项展开，是较为全面的新模型上手报告。
@Kimi_Moonshot · 172.7K 粉丝 · 106.6K 阅 · 500 赞 · 61 转
Our predictions will probably be wrong. But the World Cup offers a rare, public, verifiable, and constantly evolving real-world setting. Through this initiative, we hope to place analysis,
中文介绍 Kimi官方宣布将预测世界杯全部104场比赛结果，并点名德国队可能被低估。官方坦言预测大概率有误，但强调世界杯提供了罕见的公开、可验证、持续演进的真实场景，借此测试和展示模型在实时赛事分析中的能力边界。
@0xCodez · 5.3K 粉丝 · 97.8K 阅 · 510 赞 · 80 转
Most developers still prompt their coding agents by hand. They type, they wait, they read the diff, they type again. 9out of 10 builders have never written a single loop that prompts the agent for
中文介绍 提出从"手动提示编码智能体"升级为"Loop设计师"的14步路线图。指出90%的开发者仍在手动输入-等待-审阅-再输入，从未构建过自动提示循环。帖子系统梳理Loop工程的进阶路径，适合想转型AI工作流设计的开发者。
@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内部人员分享使用Mythos级模型（如Claude Fable 5）的两条实用技巧，重点介绍「自我修正循环（Self-correction loop）」——让模型在输出后自动检验并迭代，以充分释放此类新一代模型的能力上限。
@nifinet · 10.2K 粉丝 · 60.9K 阅 · 522 赞 · 54 转
When a team says they want AI for growth, they usually mean a faster send. An agent that fires the same template at a longer list, day and night. That is the cheap half of the job, and it stopped
中文介绍 介绍如何用Claude Code搭建AI驱动的GTM（市场进入）决策系统。作者指出，多数团队把AI用于自动化发送模板，只做到了「廉价的一半」；真正的价值在于构建能理解增长逻辑、做出判断的智能体大脑，而非单纯提速。
@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 拆解本周AI编程圈最热六字金句「You shouldn't be prompting, you should be looping」背后的分歧：Peter Steinberger与Boris Cherny对「Loop」定义的理解并不一致。博主运行30天对话记录分析，梳理两种观点的本质差异，是一篇概念澄清型帖子。
@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）大规模扩展对LLM能力评估的影响。核心观点：随着模型增强，基准测试分数越来越取决于推理时算力投入，当前我们实际上并不清楚现代LLM的能力上限，因为算力天花板尚未触及。
@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 Google工程师Addy Osmani解释「Loop工程」的本质：用设计好的系统替代人工手动提示智能体。Loop定义为「带目的的递归目标」——你定义意图，系统自动迭代执行。属于Loop工程理念的通俗入门解读，配有结构化说明。
@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 针对AI智能体在生产环境故障时的痛点：现有可观测性工具只能展示"做了什么"，却几乎无法告诉你"如何修复"。博主提出智能体运行框架（Agent Harness）应具备自我修复能力，是一篇聚焦生产级可靠性的工程实践分享。
@GoogleAIStudio · 176.3K 粉丝 · 32.2K 阅 · 517 赞 · 55 转
Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has come a long
中文介绍 Google AI Studio发布基于Gemini 3.5 Live的实时语音翻译功能，强调流畅自然的对话级翻译体验。官方回顾Google机器翻译二十年历程，将此次发布定位为从科学实验到"人类连接魔法"的里程碑式升级。
@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」概念：互联网三十年来的基础设施均为人类设计（围绕人类注意力和行为），而下一个主角不是人。帖子探讨AI智能体作为新型计算主体，将如何重塑底层基础设施的架构逻辑，属于宏观趋势判断。
@HYPERPEPS · 3.4K 粉丝 · 4.4K 阅 · 720 赞 · 79 转
You spend twenty minutes writing a brief. Then you open a second tab to turn it into code. A third for design. A fourth for the copy. Then you copy the output from tab four back into tab one, because
中文介绍 描述典型的多标签页AI工作流碎片化痛点：写brief、生成代码、设计、文案各用一个标签，输出还要手动搬运。帖子引出Hyperliquid缺失的AI整合层产品，主张将上述环节统一到单一智能体工作流中，属于产品理念/工具发布预告类内容。
Discover how astrophysicist Chi-kwan Chan uses Codex to build black hole simulations, helping scientists study extreme physics and test Einstein’s theory of general relativity.
中文介绍 天体物理学家陈奇冠借助OpenAI的Codex工具构建黑洞模拟程序，用于研究极端物理现象并验证爱因斯坦广义相对论。Codex能够辅助科学家编写复杂模拟代码，加速天文学研究进程。
Access OpenAI models and Codex through Oracle Cloud, using existing commitments to build and deploy AI with enterprise security and governance.
中文介绍 OpenAI宣布与甲骨文云（Oracle Cloud）合作，企业用户可通过现有的Oracle云服务承诺额度直接访问OpenAI模型及Codex，并享有企业级安全与治理保障，简化AI应用的构建与部署流程。
中文介绍 谷歌DeepMind发布DiffusionGemma模型，采用扩散生成方式实现文本生成速度提升4倍。该模型为Gemma系列的新成员，主要面向需要高速文本生成的应用场景。
A new report from OpenAI details PRC-linked influence operations using AI to target U.S. tech debates, data center narratives, tariffs, and false claims about ChatGPT.
中文介绍 OpenAI发布新报告，披露与中国政府相关联的影响力行动正利用AI工具干预美国科技政策讨论，涉及数据中心建设叙事、关税议题以及针对ChatGPT的虚假信息传播，目标是影响美国国内对人工智能的舆论走向。
The much anticipated launch of the Mythos-class model was marred by some controversial usage policies
中文介绍 Anthropic发布备受期待的Claude Fable 5（Mythos级别）模型，但此次发布因其包含争议性使用条款而受到质疑。新模型在能力上对标「Mythos」定位，同时强调安全性，争议条款的内容引发行业广泛讨论。
See how LSEG uses OpenAI to scale trusted AI across its global business, accelerating insights, shrinking release cycles, and empowering 4,000 employees.
中文介绍 伦敦证券交易所集团（LSEG）与OpenAI合作，将AI技术大规模应用于全球业务，目前已赋能约4000名员工，成效包括加快数据洞察速度、缩短产品发布周期，推动金融数据向智能决策转化。
中文介绍 2026年6月10日AI行业动态：Anthropic发布Claude Fable 5模型；谷歌推出Gemini 3.5实时翻译功能；同期业界关注测试时算力（test-time compute）扩展技术的最新进展。
中文介绍 ServiceNow AI在Hugging Face发布研究，针对语音智能体处理双语用户（代码切换语音）的能力进行基准测试，评估主流前沿自动语音识别（ASR）系统在中英文或多语言混合场景下的表现与局限。
中文介绍 Cohere发布面向开发者的首款代码专项模型North Mini Code，该模型为North系列中的轻量级版本，主要为开发者提供代码生成与辅助能力，是Cohere在代码AI领域的首次专项布局。
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推出Gemini 3.5 Live Translate，支持近实时自然语音翻译，已集成至Google AI Studio、谷歌翻译及Google Meet三大平台，旨在提供更流畅、自然的跨语言实时语音沟通体验。
中文介绍 谷歌DeepMind发布Gemma 4 12B模型，这是一款统一的无编码器多模态模型，参数规模为120亿，采用无独立编码器的架构设计，可同时处理多种模态输入，是Gemma系列的最新成员。
中文介绍 谷歌DeepMind发布关于欧洲机器人领域发展的博客文章，介绍其在欧洲推动机器人技术未来发展的相关布局与投入，致力于以AI能力赋能欧洲机器人产业生态。
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的工程师团队借助Codex与GPT-5.5，实现跨平台快速开发，有效解决难以复现的技术问题，使工程师得以将更多精力专注于产品功能结果而非底层代码细节。
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服务，自动构建出一个三维巴黎画廊场景，展示了多智能体协作与空间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 《麻省理工科技评论》指出，AI智能体在企业中的应用规模预计未来两年内增长高达300%，企业领导层正积极应对人机混合劳动力带来的管理挑战。与传统自动化不同，AI智能体可自主执行任务，对组织领导模式提出新要求。
本期21个候选标的整体呈现风险资产承压、防御与避险资产走强的技术面格局。美股方面，SPY当日下跌1.58%，5日累计下跌3.82%，RSI14为40.7，虽仍处多头排列但MACD（4.85）已显著低于信号线（9.35），动量减弱迹象明显。QQQ触发MACD死叉，5日跌幅达6.79%，科技板块整体技术面趋弱。MSFT、TSLA、META均呈空头排列，其中META的RSI14已跌至35.7，MACD死叉确立，下行动量较强。加密资产方面，加密恐慌贪婪指数仅为12（极度恐慌），BTC（61558美元）、ETH（1622美元）、SOL（63.24美元）的RSI14分别为23.8、25.1、25.1，三者同步进入超卖区域，价格均大幅偏离三条均线，空头排列结构完整，但极度超卖读数提示短期存在技术性修复可能。中概股普遍偏弱，BABA、PDD、JD等均呈空头排列，RSI14在31至39区间；腾讯控股（0700.HK）当日逆势上涨2.74%，RSI14回升至52.4，相对表现较为突出。商品与外汇方面，黄金期货单日暴跌4.36%，RSI14跌至23.7，超卖信号触发；WTI原油当日反弹4.99%，但5日仍下跌3.56%，技术趋势中性。美元指数DXY接近52周高点，RSI14达64.4，多头结构稳固；10年期美债收益率4.54%，维持多头排列，持续对权益资产估值形成压力。宏观信号上，VIX单日跳升11.83%至22.22，5日累计上涨38.36%，市场整体避险情绪显著升温。
当前价格61558美元，RSI14仅23.8，处于超卖区域，但空头排列信号持续，价格低于SMA20（69399.9）、SMA50（75008.25）和SMA200（78124.89）三条均线，呈标准空头排列。MACD为-4163.06，信号线为-3392.77，柱状图持续扩大负值，动量偏弱。距52周高点已回撤51.22%。结合加密恐慌贪婪指数仅12（极度恐慌），短期技术面压力明显，超卖读数提示存在反弹可能，但趋势结构尚未逆转。
当前价格570.98美元，5日下跌8.35%，RSI14为35.7，接近超卖边界。价格低于SMA20（609.19）、SMA50（622.15）和SMA200（659.95），三线构成标准空头排列。MACD为-9.54，信号线为-5.60，两者均在负值区且差距扩大，触发MACD死叉信号。距52周高点回撤达28.29%，技术面呈现较强下行动量，暂无明显支撑信号。
VIX当前报22.22，1日上涨11.83%，5日累计上涨38.36%，突破SMA20（17.46）和SMA50（18.48）及SMA200（18.5），RSI14升至63.5，动量持续走强。MACD为0.3572，信号线为-0.3522，形成MACD金叉，同时触发SMA50下穿SMA200的死叉预警（此为SMA排列信号）。VIX快速攀升反映市场避险情绪升温，技术结构偏上行，表明整体风险偏好受压。
美元指数现报100.05，价格接近52周高点（距高点仅-0.59%），RSI14达64.4，动量偏强但尚未超买。价格高于SMA20（99.31）、SMA50（98.90）及SMA200（98.63），三线多头排列。MACD为0.3274，信号线0.2336，柱状图正值扩张，趋势判定为「bullish」。多重技术指标共同指向短期强势结构。
黄金期货现报4074.1美元，1日大跌4.36%，5日累计下跌8.17%，RSI14骤降至23.7，进入超卖区域。MACD为-104.66，信号线为-71.17，负向动量加速扩大，技术趋势标注为「neutral」。当前价格低于SMA20（4473.7）和SMA50（4609.59），但距52周低点仍有25.21%空间，超卖与空头压力并存，方向信号尚未明确，维持中性观察。
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，技术指标存在滞后性与局限性，投资者需结合自身风险承受能力独立决策。
The country’s previous attempt to get tech companies to shelter young users failed amid heavy criticism from civil liberty groups.
中文摘要 加拿大政府拟立法禁止16岁以下未成年人使用社交媒体。此前该国曾尝试要求科技公司保护年轻用户，但因遭公民自由团体强烈批评而失败。新立法能否顺利推进，仍面临挑战。
Secretary of Defense Pete Hegseth said just before the attack: “If we need to negotiate with bombs, we’ll negotiate with bombs.”
中文摘要 美国再度对伊朗发动空袭。特朗普表示谈判进展"太慢"，国防部长赫格塞斯在袭击前表示"若需以炸弹谈判，我们就以炸弹谈判"。此次为美方在短期内对伊朗实施的新一轮军事打击。
A case illustrates both the low-hanging opportunities new financial technologies offer to scammers and the downside of speeding in a Rolls-Royce.
中文摘要 加拿大检察官指控一名青少年通过加密货币诈骗非法获利数百万美元，其后驾驶劳斯莱斯超速行驶时被捕。此案揭示新金融技术为诈骗者提供的低门槛机会，以及炫富行为带来的法律风险。
The strikes began at 5.15pm EST on Wednesday – after midnight on Thursday local time – ‘at the Commander in Chief’s direction’, Centcom says If the US genuinely wants a deal it will have to engage with Iranian demands on sanctions relief, says Danny Citrinowicz, the former head of the Iran branch of
中文摘要 美军对伊朗多处目标发动第二天空袭，行动于美东时间周三下午5时15分开始，由美国中央司令部奉"最高统帅指示"执行。分析人士指出，若美国真心寻求协议，须正视伊朗在制裁解除问题上的诉求。
Follow today’s news live Get our breaking news email, free app or daily news podcast Wong not ‘interested’ in One Nation’s fundraising Wong says she isn’t concerned about One Nation’s fundraising efforts, but more about their policies. Pauline Hanson’s party says it has raised more than $1.5m in the
中文摘要 澳大利亚最新动态：政府部长警告数据中心建设热潮带来的影响；Seven电视网进行大规模裁员，告别多名"聪明有才华"的员工。外长黄英贤表示不关注一国党筹款情况，更关注其政策立场。
Singer and actor has denied all charges after more than 20 women came forward with allegations going back to the 1990s The French singer Patrick Bruel has been charged with rape and sexual assault in one of the biggest #MeToo cases in the French music industry. The 67-year-old, a major figure in Fre
中文摘要 法国67岁知名歌手兼演员帕特里克·布鲁埃尔被正式指控强奸及性侵犯，逾20名女性就其自1990年代起的行为提出指控，构成法国音乐界迄今最大规模#MeToo案件之一。布鲁埃尔否认全部指控。
Prosecutors say man deliberately started blaze that became one of the most destructive wildfires in Los Angeles history.
中文摘要 涉嫌蓄意引发加利福尼亚州帕利塞兹大火的男子正式开庭受审。检察官指控其故意纵火，导致该场大火成为洛杉矶历史上破坏性最强的野火之一。
The escalating attacks threatened to derail efforts to end the war, with President Trump warning that Tehran would "pay the price" for stalled negotiations.
中文摘要 美军宣布对伊朗多处目标实施第二轮打击。持续升级的军事行动威胁停火谈判进程，特朗普警告伊朗将为谈判停滞"付出代价"。
NSW police say two men and a woman will face court on Thursday over alleged involvement in large-scale drug supply scheme Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast Mohammed Skaf, a notorious gang rapist, has been arrested in Sy
中文摘要 澳大利亚悉尼臭名昭著的轮奸罪犯穆罕默德·斯卡夫被追加约24项毒品相关指控，新南威尔士警方指控其参与大规模贩毒活动，两名男子及一名女子将于周四出庭受审。
President Trump said that the Iranians were taking “too long to negotiate” a deal to end the conflict launched by the United States and Israel four months ago.
中文摘要 美国连续第二天对伊朗发动空袭，局势持续升温。特朗普称伊朗在谈判上"拖延太久"，此次冲突由美国和以色列约四个月前共同发起，停战协议前景趋于黯淡。
Donald Trump had vowed to ‘hit them hard again’ after accusing negotiators in Tehran of ‘playing us for suckers’ Middle East crisis – live updates The US has launched new strikes against targets in Iran for the second consecutive day. Donald Trump had promised to “hit them hard again” as a two-month
中文摘要 美国对伊朗连续第二天发动打击，停火协议濒临崩溃。特朗普此前誓言"再次重击"伊朗，并指责德黑兰谈判代表"耍弄"美方。中东地区紧张局势持续升级。
The bill also aims to make AI chatbots safer by establishing a digital regulator to set safety standards.
中文摘要 加拿大提出立法草案，拟禁止16岁以下儿童使用社交媒体。该法案还计划通过设立数字监管机构、制定安全标准，提升人工智能聊天机器人的安全性。
He was harassed and briefly jailed for his work on Le Lynx, his satirical weekly newspaper, which investigated and caricatured a series of repressive leaders.
中文摘要 几内亚著名讽刺新闻记者苏莱曼·迪亚洛去世，享年80岁。他是讽刺周报《猞猁》的创办人，曾因揭露和讽刺历届威权领导人而遭受骚扰并一度身陷囹圄。
Six months in, many teens are already back on platforms they were supposed to be blocked from. The ban’s benefits may fall to the next generation.
中文摘要 澳大利亚对16岁以下未成年人的社交媒体禁令实施六个月后成效存疑，许多青少年已重返被禁平台。分析认为该禁令的实际效益或将惠及下一代年龄更小的儿童。
Pope Leo XIV says Barcelona's iconic Sagrada Família is a masterpiece of "stones, colours and light" during his visit to Spain.
中文摘要 教皇利奥十四世访问西班牙巴塞罗那，参观标志性建筑圣家堂，称其为"石头、色彩与光的杰作"。访问期间圣家堂上空燃放烟火，场面壮观。
Consumers are increasingly feeling the strain of the US-Israel war in Iran.
中文摘要 美国通胀以三年来最快速度上升，消费者承压明显。特朗普对此表态称"喜欢通胀"，引发争议。当前美以对伊战争持续，进一步加剧了市场对物价上涨的担忧，普通民众生活成本压力显著上升。
The US military launched strikes against "multiple" targets in Iran for the second day in a row after President Donald Trump accused the country of dragging out talks on an interim peace deal. Bloomberg's Laura Davison explains the context. (Source: Bloomberg)
中文摘要 美国军方连续第二天对伊朗境内"多个"目标实施打击。特朗普指责伊朗拖延临时和平协议谈判，此举成为新一轮军事行动的导火索。彭博记者Laura Davison就此次打击的背景及意义进行了解读。
Fears of a stagflation shock from the Middle East conflict are increasingly souring investor sentiment toward the weakest global corporate borrowers, many of which binged on cheap debt during the era of ultra-low interest rates.
中文摘要 受中东冲突引发滞胀担忧的影响，全球垃圾债市场向投资者发出预警信号。投资者情绪持续恶化，尤其针对信用评级最低的企业借款方，这些企业大多在超低利率时代大量举借廉价债务，当前处境愈发脆弱。
Westpac Banking Corp. mortgage applications are heading for the worst quarter in a year as tax changes for property investors weaken demand for real estate.
中文摘要 澳大利亚西太平洋银行（Westpac）抵押贷款申请量下滑，当前季度或创一年来最差表现。主要原因是针对房产投资者的税务政策调整削弱了市场需求，房地产投资吸引力明显减弱。
Financial heavyweights in Hong Kong including Baidu CFO Henry He and BlackRock's APAC Head Susan Chan share their insights on how AI is changing their workplaces. (Source: Bloomberg)
中文摘要 在香港举行的论坛上，百度首席财务官何俊杰、贝莱德亚太区负责人Susan Chan等金融界重量级人士就人工智能如何改变亚洲职场生态发表见解，探讨AI对金融行业工作方式带来的深远影响。
Top voices in finance joined Bloomberg to discuss topics ranging from the impact of China's regulatory crackdown to the risk of a global tech selloff. Bloomberg's David Ingles and Yvonne Man break down the highlights. (Source: Bloomberg)
中文摘要 彭博香港投资峰会汇聚金融界顶级人士，议题涵盖中国监管整顿的市场影响及全球科技股抛售风险等。彭博主持人David Ingles与Yvonne Man对峰会重要观点进行了梳理与解读。
The final conclusions of the investigation have yet to be published, although more could become apparent in the coming days.
中文摘要 印度航空171号航班坠机事故的责任认定存在激烈争议，各方说法相互矛盾。目前调查最终结论尚未公布，更多细节预计将在未来数日内陆续披露。事故原因至今仍存在较大争议。
The retail group already owns just over a quarter of the German fashion brand but wants to buy the rest of it.
中文摘要 英国零售集团Frasers（由Mike Ashley控制）提出以17.3亿英镑收购德国时尚品牌Hugo Boss全部剩余股份。Frasers目前已持有Hugo Boss逾四分之一的股权，此次出价意在实现对该品牌的完全控股。
While US consumer confidence is at an historic low the Big Apple's sweet shops are expanding.
中文摘要 在美国消费者信心跌至历史低位的背景下，纽约糖果店却逆势扩张。由于糖果客单价低、消费频次高，被视为经济下行期的"平价慰藉"消费品，相关店铺数量持续增加，呈现出消费分化下的独特现象。
Peter Kyle's comments come as the government sets out how it would back British technology companies.
中文摘要 英国商业大臣Peter Kyle表示，若一家英国科技巨头面临海外出售，他将行使否决权加以阻止。此番表态正值英国政府公布扶持本土科技企业的系列政策之际，反映出政府保护战略科技资产的强硬立场。
Shares in the database group drop as much as 8% in after-hours trading following flat revenue guidance
中文摘要 甲骨文（Oracle）宣布未来一年将投入700亿美元用于数据中心扩建。然而，由于公司发布持平的营收预期指引，市场反应冷淡，该公司股价在盘后交易中一度下跌逾8%。
Gold fell for a third day after the US launched fresh strikes against Iran, threatening to extend the war that’s roiled global markets and stoked inflation fears.
中文摘要 黄金价格连续第三个交易日下跌。美国对伊朗发动新一轮打击，战事持续扰动全球市场并加剧通胀担忧，但避险需求未能有效支撑金价，市场情绪仍显复杂。
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Audio priscos illos viros probos atque sapientes, die Iovis — quartus is hebdomadis dies habetur — pecuniam suam in plebem erogasse, ne quis egestate premeretur. Pullum aureum alienis pueris donasse, quod et suus puer hoc cibo delectaretur; aquam nigram dulcem aliis senibus praebuisse, quod suus quo
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