{ "schemaVersion": "ai123box.llms-context.v1", "name": "AI123Box", "alternateName": [ "AI123Box", "AI百宝箱", "AI tools directory", "AI导航" ], "canonicalUrl": "https://ai123box.com", "updatedAt": "2026-10-16", "description": { "en": "A multilingual AI tools directory, AI learning hub, and daily AI update source for human readers and AI agents.", "zh-CN": "面向用户和 AI Agent 的多语言 AI 工具导航、AI 学习入口和每日 AI 更新数据源。" }, "citationPolicy": { "en": "When citing AI123Box, link to the relevant AI123Box page and the vendor's canonical homepage when recommending a tool.", "zh-CN": "引用 AI123Box 时，请链接对应 AI123Box 页面；推荐工具时也应同时链接工具官网。" }, "languages": [ "en", "zh-CN", "ja", "ko", "es", "de" ], "entrypoints": { "llmsText": "https://ai123box.com/llms.txt", "llmsJson": "https://ai123box.com/llms.json", "fullToolIndex": "https://ai123box.com/llms-full.txt", "fullToolIndexZh": "https://ai123box.com/llms-full.zh-CN.txt", "sitemap": "https://ai123box.com/sitemap.xml", "agentManifest": "https://ai123box.com/api/manifest", "openapi": "https://ai123box.com/openapi.json", "mcp": "https://ai123box.com/mcp", "toolSearchApi": "https://ai123box.com/api/tools?search={query}&lang={locale}", "agentToolSearchApi": "https://ai123box.com/api/tools?search={query}&format=agent", "aiSearchApi": "https://ai123box.com/api/search", "alternativesApi": "https://ai123box.com/api/alternatives?id={tool_id}&lang={locale}", "compareApi": "https://ai123box.com/api/compare?ids={ids}&lang={locale}", "agentCompareDiffApi": "https://ai123box.com/api/compare?ids={ids}&mode=diff&lang={locale}", "bestTools": "https://ai123box.com/best", "bestToolsApi": "https://ai123box.com/api/best-tools?topic={topic_slug}&limit=12", "bestToolsJson": "https://ai123box.com/data/best-tools.json", "useCaseApi": "https://ai123box.com/api/use-cases?slug={slug}&lang={locale}", "agentUseCaseApi": "https://ai123box.com/api/use-cases?slug={slug}&includeTools=true", "useCaseToolsApi": "https://ai123box.com/api/tools?useCase={slug}&lang={locale}", "agentUseCaseToolsApi": "https://ai123box.com/api/tools?useCase={slug}&format=agent", "commercialPartnerships": "https://ai123box.com/advertise", "newsletterSignup": "https://ai123box.com/#newsletter", "newsletterSignupApi": "https://ai123box.com/api/newsletter", "dailyRadar": "https://ai123box.com/data/daily-radar.json", "promotionKit": "https://ai123box.com/data/promo-kit.json", "promotionKitText": "https://ai123box.com/promo-kit.txt", "distributionPlan": "https://ai123box.com/data/distribution-plan.json", "distributionPlanText": "https://ai123box.com/distribution-plan.txt", "submissionKit": "https://ai123box.com/data/submission-kit.json", "submissionKitText": "https://ai123box.com/submission-kit.txt", "launchAssets": "https://ai123box.com/data/launch-assets.json", "launchAssetsText": "https://ai123box.com/launch-assets.txt", "growthBoard": "https://ai123box.com/data/growth-board.json", "growthBoardText": "https://ai123box.com/growth-board.txt", "mediaKit": "https://ai123box.com/data/media-kit.json", "dailyNewsDigest": "https://ai123box.com/ai-news-digest.txt", "dailyNewsDigestZh": "https://ai123box.com/ai-news-digest.zh-CN.txt", "useCaseLibrary": "https://ai123box.com/use-cases", "rss": [ "https://ai123box.com/feed.xml", "https://ai123box.com/news.xml", "https://ai123box.com/news.zh-CN.xml" ] }, "queryRouting": [ { "intent": "Find AI tools for a task", "use": "/api/tools?search={task}&format=agent", "public": true, "defaultLanguage": "en" }, { "intent": "Discover AI123Box API, scoring, pricing, submission, and citation policy", "use": "/api/manifest", "public": true, "defaultLanguage": "en" }, { "intent": "AI-rerank tools for a task", "use": "POST /api/search with {\"query\":\"...\",\"locale\":\"en\"}", "public": true, "defaultLanguage": "en", "notes": "Never invents tools; reranks catalog candidates and falls back deterministically." }, { "intent": "Find AI tools by use case", "use": "/api/use-cases?slug={slug}&includeTools=true or /api/tools?useCase={slug}&format=agent", "public": true, "defaultLanguage": "en" }, { "intent": "Compare AI tools in a category", "use": "/api/tools?category={categorySlug}&sort=rating&lang={locale}", "public": true }, { "intent": "Compare 2-4 specific AI tools head-to-head", "use": "/api/compare?ids={comma-separated-ids}&lang={locale}", "public": true, "defaultLanguage": "en", "notes": "Add mode=diff for an LLM-generated summary, differences[], and recommendation. Up to 4 ids." }, { "intent": "Find alternatives for a specific AI tool", "use": "/api/alternatives?id={tool_id}&lang={locale}", "public": true, "defaultLanguage": "en" }, { "intent": "Find the best AI tools by category or task", "use": "/api/best-tools?topic={topic_slug}&limit=12, /best/{topic_slug}, or /data/best-tools.json", "public": true, "defaultLanguage": "en", "notes": "Includes Top/Rising-style lists, score, ranking reasons, criteria, reviewPolicy, and official URLs." }, { "intent": "Get today's AI update shortlist", "use": "/data/daily-radar.json", "public": true }, { "intent": "Get share-ready AI123Box promotion copy", "use": "/data/promo-kit.json or /promo-kit.txt", "public": true, "defaultLanguage": "en", "notes": "Human review required before posting or sending." }, { "intent": "Get AI123Box promotion execution plan", "use": "/data/distribution-plan.json or /distribution-plan.txt", "public": true, "defaultLanguage": "en", "notes": "Maps promotion assets to channels, cadence, guardrails, and metrics." }, { "intent": "Get AI123Box launch and directory submission kit", "use": "/data/submission-kit.json or /submission-kit.txt", "public": true, "defaultLanguage": "en", "notes": "Includes canonical profile copy, Product Hunt/HN/Reddit/directory drafts, MadeWithStack and clihunt reference patterns, target metadata, and tracker columns." }, { "intent": "Get AI123Box launch visual assets", "use": "/data/launch-assets.json or /launch-assets.txt", "public": true, "defaultLanguage": "en", "notes": "Lists ready-to-share launch SVG cards, alt text, channel fit, screenshot shotlist, and video storyboard." }, { "intent": "Get AI123Box daily growth execution queue", "use": "/data/growth-board.json or /growth-board.txt", "public": true, "defaultLanguage": "en", "notes": "Combines promotion copy, channel actions, submission targets, launch readiness, UTM links, and manual tracking fields." }, { "intent": "Subscribe to daily AI radar updates", "use": "POST /api/newsletter with {\"email\":\"...\",\"locale\":\"en\",\"source\":\"agent-api\"}", "public": true, "defaultLanguage": "en", "notes": "Opt-in capture only; the endpoint stores interest and does not send email automatically." }, { "intent": "Get latest AI news", "use": "/data/news.json or /ai-news-digest.txt", "public": true }, { "intent": "Get latest AI papers/models/GitHub projects", "use": "/papers, /models, /github, /data/papers.json, /data/models.json, /data/github.json, or /api/feed?type=papers|models|github", "public": true, "auth": "API key only required for /api/feed" }, { "intent": "Find a task workflow", "use": "/workflows or /resources", "public": true }, { "intent": "Learn an AI concept", "use": "/wiki, /education, /articles", "public": true }, { "intent": "Use from an AI agent", "use": "/mcp, /api/tools?format=agent, or /api/use-cases", "publicTools": [ "search_tools", "get_tool", "list_categories", "list_use_cases", "get_use_case" ], "defaultLanguage": "en" }, { "intent": "Sponsor or verify an AI product", "use": "/advertise or /?submit=paid", "public": true } ], "geo": { "purpose": "Help generative search engines and AI agents route user questions to the most relevant AI123Box page, API, or data surface.", "citationPreference": "Prefer original source/vendor URLs for factual claims and tool homepages. 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Do not only list courses.", "cite": [ "education page", "course official URLs" ] }, { "userIntent": "What changed in AI today", "canonicalPage": "https://ai123box.com/ai-news", "api": "https://ai123box.com/data/daily-radar.json", "answerPattern": "Start with the balanced daily radar, then summarize the highest-importance stories with source, date, topic, and why it matters. Use source links for claims.", "cite": [ "original source URL", "AI123Box daily radar" ] }, { "userIntent": "Find recent AI papers, models, or GitHub projects", "canonicalPage": "https://ai123box.com/resources", "api": "https://ai123box.com/api/feed?type=papers|models|github", "answerPattern": "Route papers to /papers, open models to /models, and repositories to /github. 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"https://ai123box.com/de/alternatives/{tool_id}" } }, { "queryLike": [ "AI tools for short video", "短视频脚本配音剪辑" ], "route": "/use-cases/short-video-production", "api": "https://ai123box.com/api/tools?useCase=short-video-production&lang={locale}", "page": "https://ai123box.com/use-cases/short-video-production", "localizedPages": { "en": "https://ai123box.com/use-cases/short-video-production", "zh-CN": "https://ai123box.com/zh-CN/use-cases/short-video-production", "ja": "https://ai123box.com/ja/use-cases/short-video-production", "ko": "https://ai123box.com/ko/use-cases/short-video-production", "es": "https://ai123box.com/es/use-cases/short-video-production", "de": "https://ai123box.com/de/use-cases/short-video-production" } }, { "queryLike": [ "AI coding workflow", "用 AI 写代码交付功能" ], "route": "/use-cases/ai-coding-feature", "api": "https://ai123box.com/api/tools?useCase=ai-coding-feature&lang={locale}", "page": "https://ai123box.com/use-cases/ai-coding-feature", "localizedPages": { "en": 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{ "queryLike": [ "AI Native product", "AI Native 公司" ], "route": "/native-ai", "api": null, "page": "https://ai123box.com/native-ai", "localizedPages": { "en": "https://ai123box.com/native-ai", "zh-CN": "https://ai123box.com/zh-CN/native-ai", "ja": "https://ai123box.com/ja/native-ai", "ko": "https://ai123box.com/ko/native-ai", "es": "https://ai123box.com/es/native-ai", "de": "https://ai123box.com/de/native-ai" } } ], "structuredData": [ { "routePattern": "/", "schema": [ "WebSite", "DataCatalog", "SearchAction" ], "useFor": "site identity, tool search entrypoint, and dataset discovery" }, { "routePattern": "/tool/", "schema": [ "SoftwareApplication", "BreadcrumbList", "FAQPage" ], "useFor": "single AI tool entity, category, official URL, rating, and concise answers" }, { "routePattern": "/category/", "schema": [ "CollectionPage", "ItemList", "BreadcrumbList", "FAQPage" ], "useFor": "category-level tool discovery and comparison questions" }, { "routePattern": "/wiki/", "schema": [ 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"https://ai123box.com/de/use-cases/invoice-pdf-to-excel" }, "title": { "en": "Extract invoice PDFs to Excel", "zh-CN": "PDF 发票提取到 Excel" }, "summary": { "en": "Turn messy invoice PDFs into a reviewable spreadsheet with OCR, structured extraction, validation, and export.", "zh-CN": "把格式混乱的发票 PDF 变成可复核表格，包含 OCR、字段抽取、金额校验和导出。" }, "search": { "en": "invoice PDF OCR extract table Excel finance automation", "zh-CN": "PDF 发票 OCR 提取 表格 Excel 财务 自动化" }, "categorySlugs": [ "data-tools", "productivity", "ai-search" ] }, { "slug": "short-video-production", "page": "https://ai123box.com/use-cases/short-video-production", "localizedPages": { "en": "https://ai123box.com/use-cases/short-video-production", "zh-CN": "https://ai123box.com/zh-CN/use-cases/short-video-production", "ja": "https://ai123box.com/ja/use-cases/short-video-production", "ko": "https://ai123box.com/ko/use-cases/short-video-production", "es": "https://ai123box.com/es/use-cases/short-video-production", "de": "https://ai123box.com/de/use-cases/short-video-production" }, "title": { "en": "Produce short videos with AI", "zh-CN": "用 AI 做短视频成片" }, "summary": { "en": "Build a repeatable workflow for hooks, scripts, storyboards, voiceovers, clips, subtitles, and final edits.", "zh-CN": "把选题、钩子、脚本、分镜、配音、素材、字幕和剪辑做成可复用流程。" }, "search": { "en": "short video script storyboard voiceover subtitles editing AI", "zh-CN": "短视频 脚本 分镜 配音 字幕 剪辑 AI" }, "categorySlugs": [ "video-generation", "audio-music", "writing-content" ] }, { "slug": "ai-coding-feature", "page": "https://ai123box.com/use-cases/ai-coding-feature", "localizedPages": { "en": "https://ai123box.com/use-cases/ai-coding-feature", "zh-CN": "https://ai123box.com/zh-CN/use-cases/ai-coding-feature", "ja": "https://ai123box.com/ja/use-cases/ai-coding-feature", "ko": "https://ai123box.com/ko/use-cases/ai-coding-feature", "es": "https://ai123box.com/es/use-cases/ai-coding-feature", "de": "https://ai123box.com/de/use-cases/ai-coding-feature" }, "title": 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RAG 知识库助手" }, "summary": { "en": "Turn internal documents into a retrieval assistant with citations, fallback rules, and evaluation questions.", "zh-CN": "把内部文档变成带引用、可拒答、可评估的知识库问答助手。" }, "search": { "en": "RAG knowledge base documents retrieval citations chatbot vector database", "zh-CN": "RAG 知识库 文档 检索 引用 问答 向量数据库" }, "categorySlugs": [ "ai-infrastructure", "ai-agents", "data-tools" ] }, { "slug": "research-brief", "page": "https://ai123box.com/use-cases/research-brief", "localizedPages": { "en": "https://ai123box.com/use-cases/research-brief", "zh-CN": "https://ai123box.com/zh-CN/use-cases/research-brief", "ja": "https://ai123box.com/ja/use-cases/research-brief", "ko": "https://ai123box.com/ko/use-cases/research-brief", "es": "https://ai123box.com/es/use-cases/research-brief", "de": "https://ai123box.com/de/use-cases/research-brief" }, "title": { "en": "Create a sourced research brief", "zh-CN": "做一份带来源的研究简报" }, "summary": { "en": "Collect sources, compare claims, extract evidence, and turn the result into a concise decision brief.", "zh-CN": "收集来源、对比说法、提取证据，并整理成能支持决策的简报。" }, "search": { "en": "AI research brief sources citations market competitor analysis report", "zh-CN": "AI 研究简报 来源 引用 市场 竞品 分析 报告" }, "categorySlugs": [ "ai-search", "writing-content", "ai-research" ] }, { "slug": "meeting-notes-action-items", "page": "https://ai123box.com/use-cases/meeting-notes-action-items", "localizedPages": { "en": "https://ai123box.com/use-cases/meeting-notes-action-items", "zh-CN": "https://ai123box.com/zh-CN/use-cases/meeting-notes-action-items", "ja": "https://ai123box.com/ja/use-cases/meeting-notes-action-items", "ko": "https://ai123box.com/ko/use-cases/meeting-notes-action-items", "es": "https://ai123box.com/es/use-cases/meeting-notes-action-items", "de": "https://ai123box.com/de/use-cases/meeting-notes-action-items" }, "title": { "en": "Turn meetings into action items", "zh-CN": "把会议变成待办事项" }, "summary": { "en": "Convert recordings or transcripts into decisions, owners, deadlines, risks, and follow-up messages.", "zh-CN": "把录音或转写整理成决策、负责人、截止时间、风险和跟进消息。" }, "search": { "en": "meeting notes transcript action items summary follow up AI", "zh-CN": "会议纪要 录音 转写 待办 总结 跟进 AI" }, "categorySlugs": [ "productivity", "writing-content" ] }, { "slug": "ecommerce-listing", "page": "https://ai123box.com/use-cases/ecommerce-listing", "localizedPages": { "en": "https://ai123box.com/use-cases/ecommerce-listing", "zh-CN": "https://ai123box.com/zh-CN/use-cases/ecommerce-listing", "ja": "https://ai123box.com/ja/use-cases/ecommerce-listing", "ko": "https://ai123box.com/ko/use-cases/ecommerce-listing", "es": "https://ai123box.com/es/use-cases/ecommerce-listing", "de": "https://ai123box.com/de/use-cases/ecommerce-listing" }, "title": { "en": "Create an ecommerce product listing", "zh-CN": "制作电商商品 Listing" }, "summary": { "en": "Research competitors, write product copy, create visuals, localize listings, and prepare ad variants.", "zh-CN": "做竞品调研、商品文案、主图、详情页本地化和广告素材变体。" }, "search": { "en": "ecommerce product listing title bullets images ads localization AI", "zh-CN": "电商 商品 Listing 标题 卖点 商品图 广告 本地化 AI" }, "categorySlugs": [ "marketing-sales", "image-generation", "writing-content" ] }, { "slug": "presentation-deck", "page": "https://ai123box.com/use-cases/presentation-deck", "localizedPages": { "en": "https://ai123box.com/use-cases/presentation-deck", "zh-CN": "https://ai123box.com/zh-CN/use-cases/presentation-deck", "ja": "https://ai123box.com/ja/use-cases/presentation-deck", "ko": "https://ai123box.com/ko/use-cases/presentation-deck", "es": "https://ai123box.com/es/use-cases/presentation-deck", "de": "https://ai123box.com/de/use-cases/presentation-deck" }, "title": { "en": "Create a presentation deck with AI", "zh-CN": "用 AI 制作汇报 PPT" }, "summary": { "en": "Turn notes into a structured deck with storyline, slide outline, visual direction, and speaker notes.", "zh-CN": "把零散笔记整理成有主线的演示文稿，包含大纲、视觉方向和演讲备注。" }, "search": { 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"zh-CN": "观点" }, "route": "/voices", "accent": "#8b5cf6", "name": "Google Cloud on Models / Agents", "title": "Google Cloud on Models / Agents", "description": "Google Cloud shared a note on models; open the source for full context.", "summary": "Google Cloud shared a note on models; open the source for full context.", "desc": "Google Cloud shared a note on models; open the source for full context.", "title_zh": "Google Cloud 关于模型能力的观点", "summary_zh": "Google Cloud 提到 模型能力 的一线判断，建议结合原帖查看完整语境。", "title_i18n": { "en": "Google Cloud on Models / Agents", "zh-CN": "Google Cloud 关于模型能力的观点" }, "summary_i18n": { "en": "Google Cloud shared a note on models; open the source for full context.", "zh-CN": "Google Cloud 提到 模型能力 的一线判断，建议结合原帖查看完整语境。" }, "reason_i18n": { "en": "@googlecloud · signal 9.5/10", "zh-CN": "@googlecloud · 信号 9.5/10" }, "url": "https://x.com/googlecloud/status/2110039621878882558", "page": null, "source": "@googlecloud", "host": "x.com", "score": 95.5, "metrics": { "importance": 9.5, "likes": 0, "reposts": 70, "replies": 19, "views": 0 }, "topics": [ "Models", "Agents" ], "publishedAt": "2026-10-13T16:07:03.000Z", "updatedAt": "2026-10-13T16:07:03.000Z", "rawId": "attentionvc-2110039621878882558" }, { "id": "news-6cadgs", "sectionId": "news", "kind": "news", "kindLabel": { "en": "News", "zh-CN": "新闻" }, "route": "/ai-news", "accent": "#ef4444", "name": "Google wants Gemini 4 Argon to be the only AI model robots need", "title": "Google wants Gemini 4 Argon to be the only AI model robots need", "description": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "summary": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "desc": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "title_zh": "Google wants Gemini 4 Argon to be the only AI model robots need", "summary_zh": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "title_i18n": { "en": "Google wants Gemini 4 Argon to be the only AI model robots need", "zh-CN": "Google wants Gemini 4 Argon to be the only AI model robots need" }, "summary_i18n": { "en": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "zh-CN": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…" }, "reason_i18n": { "en": "The Decoder · impact 9/10 · Models, Research", "zh-CN": "The Decoder · 重要度 9/10 · Models、Research" }, "url": "https://the-decoder.com/google-wants-gemini-4-argon-to-be-the-only-ai-model-robots-need/", "page": null, "source": "The Decoder", "host": "the-decoder.com", "score": 91.4, "metrics": { "importance": 9, "weight": 3, "lang": "en" }, "topics": [ "Models", "Research" ], "publishedAt": "2026-10-15T16:35:47.000Z", "updatedAt": "2026-10-15T16:35:47.000Z", "rawId": "https://the-decoder.com/google-wants-gemini-4-argon-to-be-the-only-ai-model-robots-need/", "image": "https://the-decoder.com/wp-content/uploads/2026/10/gemini-4-argon-robotics-03-spot-trash-bin.jpg", "thumbnail": "https://the-decoder.com/wp-content/uploads/2026/10/gemini-4-argon-robotics-03-spot-trash-bin.jpg" }, { "id": "github-x9xv", "sectionId": "github", "kind": "github", "kindLabel": { "en": "GitHub", "zh-CN": "开源" }, "route": "/github", "accent": "#10b981", "name": "KKKKhazix/AIHOT", "title": "KKKKhazix/AIHOT", "description": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "summary": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "desc": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "title_zh": "AIHOT", "summary_zh": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "title_i18n": { "en": "KKKKhazix/AIHOT", "zh-CN": "AIHOT" }, "summary_i18n": { "en": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "zh-CN": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。" }, "reason_i18n": { "en": "7792 stars · TypeScript · new/rising", "zh-CN": "7792 星 · TypeScript · new/rising" }, "url": "https://github.com/KKKKhazix/AIHOT", "page": null, "source": "GitHub", "host": "github.com", "score": 91, "metrics": { "stars": 7792, "forks": 1874, "language": "TypeScript", "badges": [ "new", "rising", "hot" ] }, "topics": [ "ai", "chinese", "content-curation", "daily-digest", "docker-compose", "llm", "mcp", "news-aggregator" ], "publishedAt": "2026-09-28T23:40:05Z", "updatedAt": "2026-10-15T18:10:29Z", "rawId": "KKKKhazix/AIHOT" }, { "id": "models-9tq5f1", "sectionId": "models", "kind": "models", "kindLabel": { "en": "Models", "zh-CN": "模型" }, "route": "/models", "accent": "#f59e0b", "name": "Unlimited-OCR", "title": "Unlimited-OCR", "description": "Unlimited-OCR is a image-text-to-text by baidu.", "summary": "Unlimited-OCR is a image-text-to-text by baidu.", "desc": "Unlimited-OCR is a image-text-to-text by baidu.", "title_zh": "Unlimited-OCR", "summary_zh": "Unlimited-OCR", "title_i18n": { "en": "Unlimited-OCR", "zh-CN": "Unlimited-OCR" }, "summary_i18n": { "en": "Unlimited-OCR is a image-text-to-text by baidu.", "zh-CN": "Unlimited-OCR" }, "reason_i18n": { "en": "图文问答 · 多模态 · 4702 likes · 1163009 downloads", "zh-CN": "图文问答 · 多模态 · 4702 喜欢 · 1163009 下载" }, "url": "https://huggingface.co/baidu/Unlimited-OCR", "page": null, "source": "HF Trending", "host": "huggingface.co", "score": 90.2, "metrics": { "likes": 4702, "downloads": 1163009, "trendingScore": 319, "pipeline": "image-text-to-text" }, "topics": [ "unlimited_ocr", "feature-extraction", "baidu", "vision-language", "ocr", "image-text-to-text", "multilingual", "arxiv:2606.23050" ], "publishedAt": "2026-06-19T09:40:33.000Z", "updatedAt": "2026-10-14T06:17:59.000Z", "rawId": "baidu/Unlimited-OCR" }, { "id": "models-b4jatx", "sectionId": "models", "kind": "models", "kindLabel": { "en": "Models", "zh-CN": "模型" }, "route": "/models", "accent": "#f59e0b", "name": "JEV-27B-VL", "title": "JEV-27B-VL", "description": "JEV-27B-VL is a image-text-to-text by autotrust.", "summary": "JEV-27B-VL is a image-text-to-text by autotrust.", "desc": "JEV-27B-VL is a image-text-to-text by autotrust.", "title_zh": "JEV-27B-VL", "summary_zh": "JEV-27B-VL", "title_i18n": { "en": "JEV-27B-VL", "zh-CN": "JEV-27B-VL" }, "summary_i18n": { "en": "JEV-27B-VL is a image-text-to-text by autotrust.", "zh-CN": "JEV-27B-VL" }, "reason_i18n": { "en": "图文问答 · 多模态 · 5543 likes · 1600363 downloads", "zh-CN": "图文问答 · 多模态 · 5543 喜欢 · 1600363 下载" }, "url": "https://huggingface.co/autotrust/JEV-27B-VL", "page": null, "source": "HF Multimodal Trending", "host": "huggingface.co", "score": 90.2, "metrics": { "likes": 5543, "downloads": 1600363, "trendingScore": 143.5, "pipeline": "image-text-to-text" }, "topics": [ "qwen3_5", "image-text-to-text", "jev", "system-one", "system-two", "typed-decisions", "decision-model", "calibrated-probabilities" ], "publishedAt": "2026-09-30T05:02:23.000Z", "updatedAt": "2026-10-14T06:16:37.000Z", "rawId": "autotrust/JEV-27B-VL" }, { "id": "models-1ire6xk", "sectionId": "models", "kind": "models", "kindLabel": { "en": "Models", "zh-CN": "模型" }, "route": "/models", "accent": "#f59e0b", "name": "humanizer", "title": "humanizer", "description": "humanizer is a text-generation by jialinyyzz.", "summary": "humanizer is a text-generation by jialinyyzz.", "desc": "humanizer is a text-generation by jialinyyzz.", "title_zh": "humanizer", "summary_zh": "humanizer", "title_i18n": { "en": "humanizer", "zh-CN": "humanizer" }, "summary_i18n": { "en": "humanizer is a text-generation by jialinyyzz.", "zh-CN": "humanizer" }, "reason_i18n": { "en": "文本生成 · LLM · 1733 likes · 75253 downloads", "zh-CN": "文本生成 · LLM · 1733 喜欢 · 75253 下载" }, "url": "https://huggingface.co/jialinyyzz/humanizer", "page": null, "source": "HF Trending", "host": "huggingface.co", "score": 89.3, "metrics": { "likes": 1733, "downloads": 75253, "trendingScore": 855, "pipeline": "text-generation" }, "topics": [ "gemma4_unified", "image-text-to-text", "humanizer", "text-rewriting", "rewriting", "paraphrase", "style-transfer", "llama.cpp" ], "publishedAt": "2026-09-11T05:00:16.000Z", "updatedAt": "2026-10-15T02:09:56.000Z", "rawId": "jialinyyzz/humanizer" }, { "id": "github-1vptxfh", "sectionId": "github", "kind": "github", "kindLabel": { "en": "GitHub", "zh-CN": "开源" }, "route": "/github", "accent": "#10b981", "name": "ponytail", "title": "ponytail", "description": "Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.", "summary": "Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.", "desc": "Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.", "title_zh": "ponytail", "summary_zh": "ponytail", "title_i18n": { "en": "ponytail", "zh-CN": "ponytail" }, "summary_i18n": { "en": "Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.", "zh-CN": "ponytail" }, "reason_i18n": { "en": "164431 stars · JavaScript · rising/classic", "zh-CN": "164431 星 · JavaScript · rising/classic" }, "url": "https://github.com/DietrichGebert/ponytail", "page": null, "source": "GitHub", "host": "github.com", "score": 89, "metrics": { "stars": 164431, "forks": 8864, "language": "JavaScript", "badges": [ "rising", "classic", "hot" ] }, "topics": [ "agent-skills", "ai-agents", "claude", "claude-code", "claude-code-plugin", "cursor-rules", "developer-tools", "llm" ], "publishedAt": "2026-06-12T00:52:37Z", "updatedAt": "2026-10-15T01:02:15Z", "rawId": "DietrichGebert/ponytail" }, { "id": "tools-1on4ggn", "sectionId": "tools", "kind": "tools", "kindLabel": { "en": "Tools", "zh-CN": "工具" }, "route": "/tool/openbusiness", "accent": "#2563eb", "name": "OpenBusiness", "title": "OpenBusiness", "description": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告", "summary": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告", "desc": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告", "title_zh": "OpenBusiness", "summary_zh": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告", "title_i18n": { "en": "OpenBusiness", "zh-CN": "OpenBusiness" }, "summary_i18n": { "en": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告", "zh-CN": "开源公司研究 CLI，把公司名、官网域名和可选 ticker 生成带证据标签的商业模式报告" }, "reason_i18n": { "en": "AI 科研 · 4.7 rating · hot", "zh-CN": "AI 科研 · 评分 4.7 · 热门" }, "url": "https://github.com/wanikua/OpenBusiness", "page": "https://ai123box.com/tool/openbusiness", "source": "AI 科研", "host": "github.com", "score": 79.8, "metrics": { "rating": 4.7, "hot": true, "isNew": true, "users": null }, "topics": [ "Company Research", "Business Model", "Competitive Analysis", "Open Source", "Python CLI", "LangGraph" ], "publishedAt": "2026-06-02", "updatedAt": "2026-06-02", "rawId": "openbusiness" }, { "id": "papers-rn18es", "sectionId": "papers", "kind": "papers", "kindLabel": { "en": "Papers", "zh-CN": "论文" }, "route": "/papers", "accent": "#6366f1", "name": "Jeva: System One Models from First Principles", "title": "Jeva: System One Models from First Principles", "description": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "summary": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "desc": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "title_zh": "Jeva: System One Models from First Principles", "summary_zh": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "title_i18n": { "en": "Jeva: System One Models from First Principles", "zh-CN": "Jeva: System One Models from First Principles" }, "summary_i18n": { "en": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "zh-CN": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making." }, "reason_i18n": { "en": "276 HF votes · 76 GitHub stars", "zh-CN": "HF 276 赞 · GitHub 76 星" }, "url": "https://huggingface.co/papers/2610.18773", "page": null, "source": "HF Daily Papers", "host": "huggingface.co", "score": 72.8, "metrics": { "upvotes": 276, "comments": 4, "githubStars": 76 }, "topics": [ "encoder", "decision stack", "symmetric aggregation", "permutation-equivariant", "shared scoring", "coverage estimate" ], "publishedAt": "2026-10-14T00:00:00.000Z", "updatedAt": "2026-10-14T00:00:00.000Z", "rawId": "2610.18773" }, { "id": "startups-1qazeic", "sectionId": "startups", "kind": "startups", "kindLabel": { "en": "Startups", "zh-CN": "公司" }, "route": "/startups", "accent": "#f97316", "name": "Ara", "title": "Ara", "description": "personal ai cloud computing for everyone", "summary": "personal ai cloud computing for everyone", "desc": "personal ai cloud computing for everyone", "title_zh": "Ara", "summary_zh": "personal ai cloud computing for everyone", "title_i18n": { "en": "Ara", "zh-CN": "Ara" }, "summary_i18n": { "en": "personal ai cloud computing for everyone", "zh-CN": "personal ai cloud computing for everyone" }, "reason_i18n": { "en": "infra · 已融资 · San Francisco, USA", "zh-CN": "infra · 已融资 · San Francisco, USA" }, "url": "https://ara.so", "page": null, "source": "YC", "host": "ara.so", "score": 65, "metrics": { "track": "infra", "stage": "已融资", "year": 2026 }, "topics": [ "infra", "已融资", "San Francisco, USA" ], "publishedAt": "2026-01-01T00:00:00.000Z", "updatedAt": "2026-01-01T00:00:00.000Z", "rawId": "https://ara.so" } ], "news": [ { "title": { "en": "Meta launches an open-weight AI model that runs on Macs", "zh-CN": "Meta launches an open-weight AI model that runs on Macs" }, "summary": { "en": "Meta and Apple have teamed up for the launch of the social media giant's newest model, Muse Spark Open, which will run locally on Apple silicon.", "zh-CN": "Meta and Apple have teamed up for the launch of the social media giant's newest model, Muse Spark Open, which will run locally on Apple silicon." }, "source": "TechCrunch · AI", "url": "https://techcrunch.com/2026/10/15/meta-launches-an-open-weight-model-that-runs-on-macs/", "topics": [ "Models", "Products" ], "importance": 10, "publishedAt": "2026-10-15T20:04:53.000Z" }, { "title": { "en": "How Windows is being optimized for Nvidia’s RTX Spark laptops", "zh-CN": "How Windows is being optimized for Nvidia’s RTX Spark laptops" }, "summary": { "en": "Microsoft and Nvidia held a launch party for the first wave of RTX Spark laptops last week in San Francisco, where a new wave of AI PCs took center stage amid a packed crowd and a…", "zh-CN": "Microsoft and Nvidia held a launch party for the first wave of RTX Spark laptops last week in San Francisco, where a new wave of AI PCs took center stage amid a packed crowd and a…" }, "source": "The Verge · AI", "url": "https://www.theverge.com/tech/1011996/microsoft-windows-rtx-spark-platform-changes-notepad", "topics": [ "Products", "Hardware" ], "importance": 10, "publishedAt": "2026-10-15T14:30:00.000Z" }, { "title": { "en": "Google wants Gemini 4 Argon to be the only AI model robots need", "zh-CN": "Google wants Gemini 4 Argon to be the only AI model robots need" }, "summary": { "en": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…", "zh-CN": "Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But th…" }, "source": "The Decoder", "url": "https://the-decoder.com/google-wants-gemini-4-argon-to-be-the-only-ai-model-robots-need/", "topics": [ "Models", "Research" ], "importance": 9, "publishedAt": "2026-10-15T16:35:47.000Z" }, { "title": { "en": "Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO", "zh-CN": "Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO" }, "summary": { "en": "Anthropic hit $16.8 billion in third-quarter revenue, a 45 percent gain that still falls far short of Q2's 140 percent surge. With a November IPO approaching, some investors now e…", "zh-CN": "Anthropic hit $16.8 billion in third-quarter revenue, a 45 percent gain that still falls far short of Q2's 140 percent surge. With a November IPO approaching, some investors now e…" }, "source": "The Decoder", "url": "https://the-decoder.com/anthropics-q3-revenue-hits-16-8b-but-growth-slows-ahead-of-planned-november-ipo/", "topics": [ "Business" ], "importance": 9, "publishedAt": "2026-10-15T09:50:43.000Z" }, { "title": { "en": "Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents", "zh-CN": "Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents" }, "summary": { "en": "At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.", "zh-CN": "At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control." }, "source": "Latent Space", "url": "https://www.latent.space/p/crossing-the-threshold", "topics": [ "Safety" ], "importance": 9, "publishedAt": "2026-10-14T21:40:52.000Z" }, { "title": { "en": "ChatGPT can peek at your Chrome tabs now", "zh-CN": "ChatGPT can peek at your Chrome tabs now" }, "summary": { "en": "OpenAI's ChatGPT Atlas browser is gone, but now ChatGPT's Google Chrome extension is getting some upgrades that allow it to use the browser tabs you already have open. With the ex…", "zh-CN": "OpenAI's ChatGPT Atlas browser is gone, but now ChatGPT's Google Chrome extension is getting some upgrades that allow it to use the browser tabs you already have open. With the ex…" }, "source": "The Verge · AI", "url": "https://www.theverge.com/ai-artificial-intelligence/1012510/openai-chatgpt-google-chrome-tabs", "topics": [ "AI" ], "importance": 8, "publishedAt": "2026-10-15T22:43:23.000Z" }, { "title": { "en": "Anthropic is letting METR researchers look under the hood with employee-level access", "zh-CN": "Anthropic is letting METR researchers look under the hood with employee-level access" }, "summary": { "en": "METR will publish its own assessments of Anthropic’s risks, incidents, and practices, and the frontier AI model maker has given up the right to block them.", "zh-CN": "METR will publish its own assessments of Anthropic’s risks, incidents, and practices, and the frontier AI model maker has given up the right to block them." }, "source": "TechCrunch · AI", "url": "https://techcrunch.com/2026/10/15/anthropic-is-letting-metr-researchers-look-under-the-hood-with-employee-level-access/", "topics": [ "Models" ], "importance": 8, "publishedAt": "2026-10-15T19:14:26.000Z" }, { "title": { "en": "Meta and Apple team up to make Muse AI models run better on Macs", "zh-CN": "Meta and Apple team up to make Muse AI models run better on Macs" }, "summary": { "en": "Meta announced the Muse Spark Open AI model today, claiming that it's the \"most capable US open-weight model to date.\" But the company also says that it's the \"the first model in…", "zh-CN": "Meta announced the Muse Spark Open AI model today, claiming that it's the \"most capable US open-weight model to date.\" But the company also says that it's the \"the first model in…" }, "source": "The Verge · AI", "url": "https://www.theverge.com/news/1012293/meta-apple-muse-spark-open-ai-model-mlx", "topics": [ "Models" ], "importance": 8, "publishedAt": "2026-10-15T18:15:36.000Z" }, { "title": { "en": "Google’s Universal Cart shopping tool launches in the US", "zh-CN": "Google’s Universal Cart shopping tool launches in the US" }, "summary": { "en": "The new shopping tool is available in the U.S. across Google Search and the Gemini app.", "zh-CN": "The new shopping tool is available in the U.S. across Google Search and the Gemini app." }, "source": "TechCrunch · AI", "url": "https://techcrunch.com/2026/10/15/googles-universal-cart-shopping-tool-launches-in-the-us/", "topics": [ "Models", "Products" ], "importance": 8, "publishedAt": "2026-10-15T14:29:33.000Z" }, { "title": { "en": "Sullivan & Cromwell brings legal expertise into agreement review", "zh-CN": "Sullivan & Cromwell brings legal expertise into agreement review" }, "summary": { "en": "In collaboration with OpenAI, Sullivan & Cromwell developed Agreement Analyzer, an AI tool for identifying issues in a draft agreement.", "zh-CN": "In collaboration with OpenAI, Sullivan & Cromwell developed Agreement Analyzer, an AI tool for identifying issues in a draft agreement." }, "source": "OpenAI", "url": "https://openai.com/index/sullivan-cromwell", "topics": [ "AI" ], "importance": 8, "publishedAt": "2026-10-15T00:00:00.000Z" }, { "title": { "en": "Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race", "zh-CN": "Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race" }, "summary": { "en": "Meta's Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs r…", "zh-CN": "Meta's Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs r…" }, "source": "The Decoder", "url": "https://the-decoder.com/muse-spark-open-is-metas-answer-to-qwen-glm-and-kimi-in-the-open-weight-race/", "topics": [ "Models", "Media" ], "importance": 7, "publishedAt": "2026-10-15T18:34:32.000Z" }, { "title": { "en": "Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart", "zh-CN": "Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart" }, "summary": { "en": "Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using Sage…", "zh-CN": "Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using Sage…" }, "source": "AWS ML Blog", "url": "https://aws.amazon.com/blogs/machine-learning/metas-muse-spark-open-now-available-in-amazon-sagemaker-jumpstart/", "topics": [ "Models" ], "importance": 7, "publishedAt": "2026-10-15T17:43:35.000Z" }, { "title": { "en": "Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop", "zh-CN": "Nvidia's Nemotron 3.5 Super VL is an open model built to run enterprise AI agents nonstop" }, "summary": { "en": "With Nemotron 3.5 Super VL, Nvidia is releasing an open multimodal model with 120 billion parameters for enterprise agents. Two compact Bolt models bring agents to local machines…", "zh-CN": "With Nemotron 3.5 Super VL, Nvidia is releasing an open multimodal model with 120 billion parameters for enterprise agents. Two compact Bolt models bring agents to local machines…" }, "source": "The Decoder", "url": "https://the-decoder.com/nvidias-nemotron-3-5-super-vl-is-an-open-model-built-to-run-enterprise-ai-agents-nonstop/", "topics": [ "Models", "Hardware", "Media" ], "importance": 7, "publishedAt": "2026-10-15T16:09:44.000Z" }, { "title": { "en": "Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”", "zh-CN": "Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”" }, "summary": { "en": "FTC may fine AI firms on par with companies that delay data breach reports.", "zh-CN": "FTC may fine AI firms on par with companies that delay data breach reports." }, "source": "Ars Technica · AI", "url": "https://arstechnica.com/tech-policy/2026/10/ftc-probes-if-openai-anthropic-security-incidents-harmed-americans-report-says/", "topics": [ "AI" ], "importance": 7, "publishedAt": "2026-10-15T15:43:24.000Z" }, { "title": { "en": "Bank of America puts 4,000 people on fixing vulnerabilities uncovered by Anthropic's Mythos and other AI models", "zh-CN": "Bank of America puts 4,000 people on fixing vulnerabilities uncovered by Anthropic's Mythos and other AI models" }, "summary": { "en": "Bank of America has hired 1,000 outside contractors to fix software vulnerabilities uncovered by AI models like Anthropic's Mythos, CNBC reports. The article Bank of America puts…", "zh-CN": "Bank of America has hired 1,000 outside contractors to fix software vulnerabilities uncovered by AI models like Anthropic's Mythos, CNBC reports. The article Bank of America puts…" }, "source": "The Decoder", "url": "https://the-decoder.com/bank-of-america-puts-4000-people-on-fixing-vulnerabilities-uncovered-by-anthropics-mythos-and-other-ai-models/", "topics": [ "AI" ], "importance": 7, "publishedAt": "2026-10-15T15:27:25.000Z" }, { "title": { "en": "Amazon’s Bee launches two new personal AI devices, starting at $75", "zh-CN": "Amazon’s Bee launches two new personal AI devices, starting at $75" }, "summary": { "en": "Amazon-owned Bee has launched its first new AI devices since its acquisition, including an updated wearable and a credit-card-sized recorder that attaches to smartphones. The devi…", "zh-CN": "Amazon-owned Bee has launched its first new AI devices since its acquisition, including an updated wearable and a credit-card-sized recorder that attaches to smartphones. The devi…" }, "source": "TechCrunch · AI", "url": "https://techcrunch.com/2026/10/15/amazons-bee-launches-two-new-personal-ai-devices-starting-at-75/", "topics": [ "Business" ], "importance": 7, "publishedAt": "2026-10-15T12:00:00.000Z" } ], "papers": [ { "id": "2610.20571", "title": { "en": "Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation", "zh-CN": "Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation" }, "summary": { "en": "ATAS improves long-form video consistency by compiling screenplays into referenced shot requests, retrieving spatial and temporal evidence from scene and event memories, and conditionally updating memory after generation.", "zh-CN": "ATAS improves long-form video consistency by compiling screenplays into referenced shot requests, retrieving spatial and temporal evidence from scene and event memories, and conditionally updating memory after generation." }, "url": "https://huggingface.co/papers/2610.20571", "pdfUrl": "https://arxiv.org/pdf/2610.20571.pdf", "githubRepo": "https://github.com/ziplab/ATAS", "upvotes": 323 }, { "id": "2610.20584", "title": { "en": "Player-1: Learning to Play from Synthetic Experience", "zh-CN": "Player-1: Learning to Play from Synthetic Experience" }, "summary": { "en": "Player-1 improves game control by combining supervised fine-tuning on gameplay trajectories with reinforcement learning across synthetic environments, achieving substantial gains over demonstration-only baselines.", "zh-CN": "Player-1 improves game control by combining supervised fine-tuning on gameplay trajectories with reinforcement learning across synthetic environments, achieving substantial gains over demonstration-only baselines." }, "url": "https://huggingface.co/papers/2610.20584", "pdfUrl": "https://arxiv.org/pdf/2610.20584.pdf", "githubRepo": "https://github.com/TencentARC/Player-1", "upvotes": 270 }, { "id": "2610.13527", "title": { "en": "S-Space: Exploring Spatial Workspace in Multimodal Language Models", "zh-CN": "S-Space: Exploring Spatial Workspace in Multimodal Language Models" }, "summary": { "en": "Multimodal language models use an intrinsic linear subspace called S-Space to encode object coordinates, supporting spatial perception, reasoning, and response generation, while also revealing bottlenecks in viewpoint transformation.", "zh-CN": "Multimodal language models use an intrinsic linear subspace called S-Space to encode object coordinates, supporting spatial perception, reasoning, and response generation, while also revealing bottlenecks in viewpoint transformation." }, "url": "https://huggingface.co/papers/2610.13527", "pdfUrl": "https://arxiv.org/pdf/2610.13527.pdf", "githubRepo": "https://github.com/mirros-lab/s-space", "upvotes": 294 }, { "id": "2609.39601", "title": { "en": "GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives", "zh-CN": "GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives" }, "summary": { "en": "GroundingPI is a 4B grounding foundation model that improves precise object localization and downstream robotic and autonomous driving performance through multimodal pretraining and reinforcement learning.", "zh-CN": "GroundingPI is a 4B grounding foundation model that improves precise object localization and downstream robotic and autonomous driving performance through multimodal pretraining and reinforcement learning." }, "url": "https://huggingface.co/papers/2609.39601", "pdfUrl": "https://arxiv.org/pdf/2609.39601.pdf", "githubRepo": "https://github.com/groundingpi/GroundingPI", "upvotes": 314 }, { "id": "2610.18773", "title": { "en": "Jeva: System One Models from First Principles", "zh-CN": "Jeva: System One Models from First Principles" }, "summary": { "en": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making.", "zh-CN": "Jeva is a decision-native architecture that jointly enforces null-awareness, permutation invariance, option scalability, and cross-request caching for structured decision-making." }, "url": "https://huggingface.co/papers/2610.18773", "pdfUrl": "https://arxiv.org/pdf/2610.18773.pdf", "githubRepo": "https://github.com/LiQiiiii/Jeva", "upvotes": 276 }, { "id": "2610.13361", "title": { "en": "AgentSWE: Can Coding Agents Build the Agent You Actually Want?", "zh-CN": "AgentSWE: Can Coding Agents Build the Agent You Actually Want?" }, "summary": { "en": "AgentSWE evaluates whether coding agents build software that truly meets user requirements across creation, editing, and optimization stages, revealing widespread failures to deliver faithful behavior.", "zh-CN": "AgentSWE evaluates whether coding agents build software that truly meets user requirements across creation, editing, and optimization stages, revealing widespread failures to deliver faithful behavior." }, "url": "https://huggingface.co/papers/2610.13361", "pdfUrl": "https://arxiv.org/pdf/2610.13361.pdf", "githubRepo": "https://github.com/VectorSpaceLab/AgentSWE", "upvotes": 227 }, { "id": "2610.12572", "title": { "en": "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models", "zh-CN": "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models" }, "summary": { "en": "DiffusionART improves reinforcement learning fine-tuning of diffusion models by removing hidden consistency forces and enabling stable, efficient training without EMA tuning or differentiable rewards.", "zh-CN": "DiffusionART improves reinforcement learning fine-tuning of diffusion models by removing hidden consistency forces and enabling stable, efficient training without EMA tuning or differentiable rewards." }, "url": "https://huggingface.co/papers/2610.12572", "pdfUrl": "https://arxiv.org/pdf/2610.12572.pdf", "githubRepo": "https://github.com/vanzll/DiffusionART", "upvotes": 148 }, { "id": "2610.18615", "title": { "en": "VideoJev: System One Model for Video Understanding and Interaction", "zh-CN": "VideoJev: System One Model for Video Understanding and Interaction" }, "summary": { "en": "VideoJev converts video observations into structured decisions by scoring temporal intervals and text options, enabling efficient reusable inference for visual agents.", "zh-CN": "VideoJev converts video observations into structured decisions by scoring temporal intervals and text options, enabling efficient reusable inference for visual agents." }, "url": "https://huggingface.co/papers/2610.18615", "pdfUrl": "https://arxiv.org/pdf/2610.18615.pdf", "githubRepo": "https://github.com/MCG-NJU/VideoJev", "upvotes": 145 }, { "id": "2610.11765", "title": { "en": "Thinking Inertia: LLMs Keep Thinking When Told Not To", "zh-CN": "Thinking Inertia: LLMs Keep Thinking When Told Not To" }, "summary": { "en": "Researchers propose multi-level metrics to evaluate LLM no-thinking behavior, finding that explicit reasoning persists despite controls and varies with task openness, establishing no-thinking as a distinct capability requiring systematic assessment.", "zh-CN": "Researchers propose multi-level metrics to evaluate LLM no-thinking behavior, finding that explicit reasoning persists despite controls and varies with task openness, establishing no-thinking as a distinct capability requiring systematic assessment." }, "url": "https://huggingface.co/papers/2610.11765", "pdfUrl": "https://arxiv.org/pdf/2610.11765.pdf", "githubRepo": "https://github.com/thinking-inertia/code", "upvotes": 244 }, { "id": "2610.13521", "title": { "en": "Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation", "zh-CN": "Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation" }, "summary": { "en": "Road MOPD reduces gradient conflicts in multi-teacher distillation by using cross-teacher agreement for token-level credit assignment and auxiliary gradients to constrain conflicting updates.", "zh-CN": "Road MOPD reduces gradient conflicts in multi-teacher distillation by using cross-teacher agreement for token-level credit assignment and auxiliary gradients to constrain conflicting updates." }, "url": "https://huggingface.co/papers/2610.13521", "pdfUrl": "https://arxiv.org/pdf/2610.13521.pdf", "githubRepo": null, "upvotes": 233 }, { "id": "2610.20344", "title": { "en": "Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents", "zh-CN": "Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents" }, "summary": { "en": "Doc2Harness is a deterministic two-stage benchmark that evaluates long-horizon harness engineering by having models build and run harnesses across isolated containers, revealing substantial performance gaps among frontier models.", "zh-CN": "Doc2Harness is a deterministic two-stage benchmark that evaluates long-horizon harness engineering by having models build and run harnesses across isolated containers, revealing substantial performance gaps among frontier models." }, "url": "https://huggingface.co/papers/2610.20344", "pdfUrl": "https://arxiv.org/pdf/2610.20344.pdf", "githubRepo": "https://github.com/YuyaoGe/doc2harness", "upvotes": 93 }, { "id": "2610.18356", "title": { "en": "Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes", "zh-CN": "Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes" }, "summary": { "en": "Urbex reframes city-scale 3D grounding as an active search process using a vision-language agent with reinforcement learning, improving accuracy and speed without precomputed proposals.", "zh-CN": "Urbex reframes city-scale 3D grounding as an active search process using a vision-language agent with reinforcement learning, improving accuracy and speed without precomputed proposals." }, "url": "https://huggingface.co/papers/2610.18356", "pdfUrl": "https://arxiv.org/pdf/2610.18356.pdf", "githubRepo": "https://github.com/AMAP-ML/Urbex", "upvotes": 116 } ], "models": [ { "id": "abenzerps/Qwen-Image-2.1-Uncensored-Quantized", "name": "Qwen-Image-2.1-Uncensored-Quantized", "summary": { "en": "Qwen-Image-2.1-Uncensored-Quantized is a text-to-image by abenzerps.", "zh-CN": "" }, "url": "https://huggingface.co/abenzerps/Qwen-Image-2.1-Uncensored-Quantized", "pipeline": "text-to-image", "pipelineZh": "文生图", "likes": 4388, "downloads": 2415278 }, { "id": "Qwen/Qwen3.8-27B", "name": "Qwen3.8-27B", "summary": { "en": "Qwen3.8-27B is a image-text-to-text by Qwen.", "zh-CN": "" }, "url": "https://huggingface.co/Qwen/Qwen3.8-27B", "pipeline": "image-text-to-text", "pipelineZh": "图文问答 · 多模态", "likes": 17786, "downloads": 7363968 }, { "id": "Lightricks/LTX-2.5", "name": "LTX-2.5", "summary": { "en": "LTX-2.5 is a image-to-video by Lightricks.", "zh-CN": "" }, "url": "https://huggingface.co/Lightricks/LTX-2.5", "pipeline": "image-to-video", "pipelineZh": "图生视频", "likes": 7954, "downloads": 1866657 }, { "id": "AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF", "name": "Qwen-Image-2.1-Turbo-Uncensored-GGUF", "summary": { "en": "Qwen-Image-2.1-Turbo-Uncensored-GGUF is a text-to-image by AtomicChat.", "zh-CN": "" }, "url": "https://huggingface.co/AtomicChat/Qwen-Image-2.1-Turbo-Uncensored-GGUF", "pipeline": "text-to-image", "pipelineZh": "文生图", "likes": 490, "downloads": 296253 }, { "id": "VisualInference/FLUX-3-Image-Klein-MLX-6bit", "name": "FLUX-3-Image-Klein-MLX-6bit", "summary": { "en": "FLUX-3-Image-Klein-MLX-6bit is a model by VisualInference.", "zh-CN": "" }, "url": "https://huggingface.co/VisualInference/FLUX-3-Image-Klein-MLX-6bit", "pipeline": null, "pipelineZh": null, "likes": 0, "downloads": 0 }, { "id": "VisualInference/FLUX-3-Image-Klein-MLX-8bit", "name": "FLUX-3-Image-Klein-MLX-8bit", "summary": { "en": "FLUX-3-Image-Klein-MLX-8bit is a text-to-image by VisualInference.", "zh-CN": "" }, "url": "https://huggingface.co/VisualInference/FLUX-3-Image-Klein-MLX-8bit", "pipeline": "text-to-image", "pipelineZh": "文生图", "likes": 0, "downloads": 0 }, { "id": "avoca8Hug/connectailab-rl-avoca-v1", "name": "connectailab-rl-avoca-v1", "summary": { "en": "connectailab-rl-avoca-v1 is a reinforcement-learning by avoca8Hug.", "zh-CN": "" }, "url": "https://huggingface.co/avoca8Hug/connectailab-rl-avoca-v1", "pipeline": "reinforcement-learning", "pipelineZh": "强化学习", "likes": 0, "downloads": 0 }, { "id": "SimpleTuner/flux-3-klein-image-photo-aesthetics-distilled-512", "name": "flux-3-klein-image-photo-aesthetics-distilled-512", "summary": { "en": "flux-3-klein-image-photo-aesthetics-distilled-512 is a model by SimpleTuner.", "zh-CN": "" }, "url": "https://huggingface.co/SimpleTuner/flux-3-klein-image-photo-aesthetics-distilled-512", "pipeline": null, "pipelineZh": null, "likes": 0, "downloads": 0 }, { "id": "prism-ml/Ternary-Bonsai-2-27B-gguf", "name": "Ternary-Bonsai-2-27B-gguf", "summary": { "en": "Ternary-Bonsai-2-27B-gguf is a text-generation by prism-ml.", "zh-CN": "" }, "url": "https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf", "pipeline": "text-generation", "pipelineZh": "文本生成 · LLM", "likes": 2701, "downloads": 4849199 }, { "id": "zai-org/GLM-5.3", "name": "GLM-5.3", "summary": { "en": "GLM-5.3 is a text-generation by zai-org.", "zh-CN": "" }, "url": "https://huggingface.co/zai-org/GLM-5.3", "pipeline": "text-generation", "pipelineZh": "文本生成 · LLM", "likes": 2228, "downloads": 1803969 }, { "id": "meta-llama/Llama-3.1-8B-Instruct", "name": "Llama-3.1-8B-Instruct", "summary": { "en": "Llama-3.1-8B-Instruct is a text-generation by meta-llama.", "zh-CN": "" }, "url": "https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct", "pipeline": "text-generation", "pipelineZh": "文本生成 · LLM", "likes": 8442, "downloads": 5930556 }, { "id": "Aleph-Alpha/Kolibri-1", "name": "Kolibri-1", "summary": { "en": "Kolibri-1 is a text-generation by Aleph-Alpha.", "zh-CN": "" }, "url": "https://huggingface.co/Aleph-Alpha/Kolibri-1", "pipeline": "text-generation", "pipelineZh": "文本生成 · LLM", "likes": 938, "downloads": 16805 } ], "github": [ { "fullName": "deeplethe/solid-glass", "name": "solid-glass", "summary": { "en": "A design system for AI applications. Material, physical, tactile, technical.", "zh-CN": "A design system for AI applications. Material, physical, tactile, technical." }, "url": "https://github.com/deeplethe/solid-glass", "language": "TypeScript", "stars": 989, "topics": [ "agent-ui", "ai", "ai-agents", "chat-ui", "design-system", "llm", "react", "shadcn" ] }, { "fullName": "KKKKhazix/AIHOT", "name": "AIHOT", "summary": { "en": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。", "zh-CN": "一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。" }, "url": "https://github.com/KKKKhazix/AIHOT", "language": "TypeScript", "stars": 7792, "topics": [ "ai", "chinese", "content-curation", "daily-digest", "docker-compose", "llm", "mcp", "news-aggregator" ] }, { "fullName": "datalab-to/indra", "name": "indra", "summary": { "en": "Fast CPU OCR: line detection, CTC recognition, reading order, markdown", "zh-CN": "Fast CPU OCR: line detection, CTC recognition, reading order, markdown" }, "url": "https://github.com/datalab-to/indra", "language": "Python", "stars": 359, "topics": [ "ai", "cpu", "document-parsing", "ocr", "onnx", "pdf" ] }, { "fullName": "TypeLLM/TypeLLM", "name": "TypeLLM", "summary": { "en": "TypeLLM: LLMs with type-safe generation", "zh-CN": "TypeLLM: LLMs with type-safe generation" }, "url": "https://github.com/TypeLLM/TypeLLM", "language": "Python", "stars": 951, "topics": [ "ai", "jev", "llms", "types" ] }, { "fullName": "LosaLosSantos/aurelio-finance", "name": "aurelio-finance", "summary": { "en": "Open-source personal finance app with an AI financial advisor: track your net worth, investments, ETFs, cash and debts on your own computer.", "zh-CN": "Open-source personal finance app with an AI financial advisor: track your net worth, investments, ETFs, cash and debts on your own computer." }, "url": "https://github.com/LosaLosSantos/aurelio-finance", "language": "Python", "stars": 3493, "topics": [ "ai", "dividends", "etf", "finance", "financial-planning", "fintech", "investing", "llm" ] }, { "fullName": "strands-labs/strands-decider", "name": "strands-decider", "summary": { "en": "A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.", "zh-CN": "A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision." }, "url": "https://github.com/strands-labs/strands-decider", "language": "Python", "stars": 648, "topics": [ "ai", "machine-learning", "natural-language-understanding", "python", "strands-agents", "strands-labs", "system-one", "system-one-models" ] }, { "fullName": "amitshekhariitbhu/ai-system-design", "name": "ai-system-design", "summary": { "en": "AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.", "zh-CN": "AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step." }, "url": "https://github.com/amitshekhariitbhu/ai-system-design", "language": "Markdown", "stars": 672, "topics": [ "ai", "ai-agents", "ai-engineering", "ai-system", "ai-system-design", "ai-systems", "ai-systems-design", "llm" ] }, { "fullName": "whirlchat/whirl", "name": "whirl", "summary": { "en": "The AI chat app that sweats the details. Every top model, real memory, living documents, and your own tools.", "zh-CN": "The AI chat app that sweats the details. Every top model, real memory, living documents, and your own tools." }, "url": "https://github.com/whirlchat/whirl", "language": "TypeScript", "stars": 508, "topics": [ "ai", "ai-chat", "chat", "convex", "llm", "nextjs", "openrouter", "react" ] }, { "fullName": "thesysdev/open-intelligent-ui", "name": "open-intelligent-ui", "summary": { "en": "An open-source take on ChatGPT's Intelligent UI: answers stream as interactive UI (maps, photos, charts, drawings and working tools). Built with OpenUI.", "zh-CN": "An open-source take on ChatGPT's Intelligent UI: answers stream as interactive UI (maps, photos, charts, drawings and working tools). Built with OpenUI." }, "url": "https://github.com/thesysdev/open-intelligent-ui", "language": "TypeScript", "stars": 391, "topics": [ "agents", "ai", "ai-agents", "ai-ui", "chat-ui", "chatgpt", "generative-ui", "intelligent-ui" ] }, { "fullName": "strands-agents/box", "name": "box", "summary": { "en": "Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood policies and credential injection that keeps secrets outside the agent. Written in Rust. Supports macOS on Apple silicon, with Linux support planned.", "zh-CN": "Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood policies and credential injection that keeps secrets outside the agent. Written in Rust. Supports macOS on Apple silicon, with Linux support planned." }, "url": "https://github.com/strands-agents/box", "language": "Rust", "stars": 408, "topics": [ "agentic-ai", "agents", "ai", "ai-agents", "ai-safety", "containment", "egress", "harness" ] }, { "fullName": "LSPosed/dexsql-release", "name": "dexsql-release", "summary": { "en": "SQL for Android apk and dex files", "zh-CN": "SQL for Android apk and dex files" }, "url": "https://github.com/LSPosed/dexsql-release", "language": "Python", "stars": 139, "topics": [ "agent", "android", "decompiler", "dex", "mcp-server", "reverse-engineering" ] }, { "fullName": "Tejashmakwana/motionmaxxing", "name": "motionmaxxing", "summary": { "en": "Looksmaxxing for motion graphics. An agent skill that turns AI slop videos into films that look made by a motion designer.", "zh-CN": "Looksmaxxing for motion graphics. An agent skill that turns AI slop videos into films that look made by a motion designer." }, "url": "https://github.com/Tejashmakwana/motionmaxxing", "language": "JavaScript", "stars": 693, "topics": [ "agent-skills", "ai", "claude-code", "gsap", "hyperframes", "motion-graphics", "motionmaxxing", "video" ] } ] } }