[{"content":" 2026 Shandong AI Industry Study Tour # We are thrilled to announce the 2026 Shandong AI Industry Study Tour, hosted by the Chinese AI Application Development Association (CAIADA).\nThis tour is designed primarily for outstanding youth students and entrepreneurs to explore leading AI, smart manufacturing, and e-commerce industries in China. We will visit three major hub cities in Shandong: Qingdao, Zibo, and Jinan.\nQuick Info # Official Itinerary: August 16, 2026 (Sun) - August 22, 2026 (Sat) (7 Days \u0026amp; 6 Nights) Special Benefit (Extended Stay): To support deep exploration and individual academic exchanges, the host in Shandong offers a special extended stay package up to August 30, 2026 (Sun). The local hosts will continue to provide support during the extended period. Tour Cost: Approx. TWD 19,000 (Covers round-trip flight Taipei-Qingdao, insurance, and administrative fees). Host Coverage: All local transport, hotel accommodation, dining, company visit bookings, and field executions within Shandong are fully covered by the local hosts. How to Register # This exclusive tour has limited seats. Eligible participants from Taiwan are welcome to apply.\nClick Here to Apply on Google Forms\nNote Hosted by: Chinese AI Application Development Association (CAIADA)\n","date":"22 May 2026","externalUrl":null,"permalink":"/en/news/2026-05-22-shandong-ai-visit/","section":"Association News","summary":"The 2026 Shandong AI Industry Study Tour is open for application! The 7-day tour will explore cutting-edge AI and manufacturing industries in Qingdao, Zibo, and Jinan, featuring local university exchange forums and extended stay support up to August 30.","title":"【Recruitment】2026 Shandong AI Industry Study Tour (8/16～8/22) is Open!","type":"news"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/tags/ai-industry/","section":"Tags","summary":"","title":"AI Industry","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/tags/ai-%E4%BA%A7%E4%B8%9A/","section":"Tags","summary":"","title":"AI 产业","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/tags/ai-%E7%94%A2%E6%A5%AD/","section":"Tags","summary":"","title":"AI 產業","type":"tags"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/categories/association-event/","section":"Categories","summary":"","title":"Association Event","type":"categories"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/categories/","section":"Categories","summary":"","title":"Categories","type":"categories"},{"content":"Promoting artificial intelligence technology development and industrial applications, driving sustainable growth of intelligent society\nOur Mission # The Chinese AI Application Development Association (CAIADA) is committed to becoming a key driver of Taiwan\u0026rsquo;s AI industry development, connecting academia, industry, and government to jointly build an innovative AI ecosystem.\nCore Tasks # Technology R\u0026D and Promotion AI core technology research and cross-domain application promotion, driving technological innovation and practice.\nIndustry Integration and Cooperation AI industry cross-domain integration and international cooperation, building bridges for industry development.\nTalent Development and Education AI professional talent cultivation and education promotion, enhancing industry competitiveness and innovation.\nDevelopment Focus # Technical Innovation Machine Learning and Deep Learning R\u0026D Natural Language Processing and Computer Vision Edge Computing and IoT Integration Blockchain and AI Convergence Industrial Applications Smart Manufacturing and Industry 4.0 Smart Healthcare and Medical Care Smart Finance and Risk Management Smart Cities and Sustainable Development Talent Development AI Professional Course Design and Certification Industry-Academia Cooperation and Internships International Exchange and Technology Transfer Entrepreneurship Guidance and Investment Matching ","date":"22 May 2026","externalUrl":null,"permalink":"/en/","section":"Chinese AI Application Development Association","summary":"Promoting artificial intelligence technology development and industrial applications, driving sustainable growth of intelligent society\nOur Mission # The Chinese AI Application Development Association (CAIADA) is committed to becoming a key driver of Taiwan’s AI industry development, connecting academia, industry, and government to jointly build an innovative AI ecosystem.\nCore Tasks # Technology R\u0026D and Promotion AI core technology research and cross-domain application promotion, driving technological innovation and practice.\n","title":"Chinese AI Application Development Association","type":"page"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/tags/exchange/","section":"Tags","summary":"","title":"Exchange","type":"tags"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/tags/recruitment/","section":"Tags","summary":"","title":"Recruitment","type":"tags"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/tags/shandong-tour/","section":"Tags","summary":"","title":"Shandong Tour","type":"tags"},{"content":"","date":"22 May 2026","externalUrl":null,"permalink":"/en/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/categories/%E5%8D%8F%E4%BC%9A%E6%B4%BB%E5%8A%A8/","section":"Categories","summary":"","title":"协会活动","type":"categories"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/categories/%E5%8D%94%E6%9C%83%E6%B4%BB%E5%8B%95/","section":"Categories","summary":"","title":"協會活動","type":"categories"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/tags/%E5%AD%A6%E6%9C%AF%E4%BA%A4%E6%B5%81/","section":"Tags","summary":"","title":"学术交流","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/tags/%E5%AD%B8%E8%A1%93%E4%BA%A4%E6%B5%81/","section":"Tags","summary":"","title":"學術交流","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/tags/%E5%B1%B1%E4%B8%9C%E5%8F%82%E8%AE%BF/","section":"Tags","summary":"","title":"山东参访","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/tags/%E5%B1%B1%E6%9D%B1%E5%8F%83%E8%A8%AA/","section":"Tags","summary":"","title":"山東參訪","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/tags/%E6%B4%BB%E5%8A%A8%E6%8B%9B%E5%8B%9F/","section":"Tags","summary":"","title":"活动招募","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/tags/%E6%B4%BB%E5%8B%95%E6%8B%9B%E5%8B%9F/","section":"Tags","summary":"","title":"活動招募","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/zh-cn/tags/%E7%94%B5%E5%95%86%E7%A0%94%E8%AE%A8/","section":"Tags","summary":"","title":"电商研讨","type":"tags"},{"content":"","date":"2026-05-22","externalUrl":null,"permalink":"/tags/%E9%9B%BB%E5%95%86%E7%A0%94%E8%A8%8E/","section":"Tags","summary":"","title":"電商研討","type":"tags"},{"content":" Foreword # The year 2024 marked a fundamental turning point in the evolution and real-world application of large language models (LLMs). By analyzing over 100 trillion tokens of real-world interactions on its platform, OpenRouter released the \u0026ldquo;State of AI\u0026rdquo; report. This study goes beyond horizontal benchmarking, offering deep insights into how developers and end-users are actually using AI \u0026ldquo;in the wild.\u0026rdquo;\nExecutive Summary # The Rise of Reasoning Models: Since the official release of o1 in December 2024, AI is shifting from single-pass pattern prediction to multi-step deliberation and reasoning. Reshaping the Open-Source Landscape: Open-weight (OSS) models now account for 1/3 of total usage, with Chinese models (DeepSeek, Qwen) showing remarkable performance. Agentic Inference: AI is no longer just a chat box but acts as \u0026ldquo;agents\u0026rdquo; executing tasks and calling tools. The Agentic mode has become the default for production environments. Cinderella Effect: Early user cohorts exhibit exceptionally high retention and loyalty. Chapter 1: From Prediction to Reasoning—The o1 Inflection Point # Prior to late 2024, state-of-the-art systems were primarily single-pass, autoregressive predictors. The emergence of o1 (Strawberry) broke this limitation:\nInternal Computation: Reasoning models expand inference-time computation through internal multi-step deliberation, latent planning, and iterative refinement before generating output. Capability Leap: This enables systematic improvements in mathematical reasoning, logical consistency, and multi-step decision-making. Paradigm Shift: Reasoning is no longer just a \u0026ldquo;described\u0026rdquo; process but a core logic embedded in the architecture. Chapter 2: Open vs. Closed Source—The New Normal of Pluralism # The report indicates a dynamic equilibrium between open-source and proprietary models at approximately 30% vs. 70%:\nSteady Growth of OSS: Open-weight models offer advantages in cost efficiency, transparency, and customization, becoming a vital part of the multi-model stack favored by developers. Rise of Chinese Models: Dense release cycles of models like DeepSeek V3 and Qwen have pushed the usage share of Chinese OSS models to nearly 30% in some weeks. Their average weekly share of 13.0% highlights strong technical competitiveness and market adaptation. Chapter 3: The Rise of Agentic Inference # LLM usage is shifting from \u0026ldquo;single-turn text completion\u0026rdquo; to \u0026ldquo;multi-step, tool-integrated workflows\u0026rdquo;:\nReasoning-Intensive Workloads: Tasks requiring intense reasoning now represent nearly half of all usage. Tool-Calling Behavior: Developers are increasingly employing models as core components in larger automated systems. Evolving Interaction Shapes: Data shows prompts and completions are becoming longer and more complex. The report predicts: Agentic inference may already or will soon exceed human inference. Chapter 4: User Behavior and Geographic Analysis # 1. Unexpected Dominant Categories # Creative Roleplay: Surprisingly leads many productivity tasks that were assumed to dominate. Coding Assistance: Remains a core high-value application of AI. Taxonomy Diversity: Users engage with LLMs for a multifaceted array of tasks beyond simple \u0026ldquo;assistant\u0026rdquo; functions. 2. The Cinderella \u0026ldquo;Glass Slipper\u0026rdquo; Retention Effect # The study identifies \u0026ldquo;foundational cohorts\u0026rdquo;—early users whose engagement persists far longer than later groups. This effect suggests that AI has developed irreplaceable depth and stickiness for specific segments.\n3. Geographic Variation # Global usage exhibits pronounced regional differences. The Asian share continues to expand, reflecting the decentralization of global computational resources and demand. Conclusion and Future Outlook # The o1 model did not end competition; it expanded the design space. The field is moving from \u0026ldquo;benchmark deltas\u0026rdquo; toward \u0026ldquo;real task completion.\u0026rdquo;\nSystems Thinking: The focus shifts to operational excellence and multi-model orchestration. Global Resource: LLMs have become a truly global computational asset with a structurally plural ecosystem. Important Original Report: OpenRouter State of AI PDF Download: State-of-AI.pdf\n","date":"27 October 2025","externalUrl":null,"permalink":"/en/news/openrouter-state-of-ai/","section":"Association News","summary":"OpenRouter released the ‘State of AI’ report, revealing the dominance of o1 reasoning models, open-weight models holding 1/3 of the market share, and Agentic Inference becoming the core of the new ecosystem.","title":"[Report] In-depth Analysis of OpenRouter 2024 State of AI Report","type":"news"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/vi/tags/agent/","section":"Tags","summary":"","title":"Agent","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/agents/","section":"Tags","summary":"","title":"Agents","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/ai/","section":"Tags","summary":"","title":"AI","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/deepseek/","section":"Tags","summary":"","title":"DeepSeek","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/vi/tags/%C4%91%E1%BB%8Dc-b%C3%A1o-c%C3%A1o/","section":"Tags","summary":"","title":"Đọc Báo Cáo","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/vi/tags/m%C3%B4-h%C3%ACnh-l%E1%BA%ADp-lu%E1%BA%ADn/","section":"Tags","summary":"","title":"Mô Hình Lập Luận","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/o1/","section":"Tags","summary":"","title":"O1","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/openrouter/","section":"Tags","summary":"","title":"OpenRouter","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/reasoning-models/","section":"Tags","summary":"","title":"Reasoning Models","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/tags/report/","section":"Tags","summary":"","title":"Report","type":"tags"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/vi/categories/t%C3%A0i-li%E1%BB%87u-k%E1%BB%B9-thu%E1%BA%ADt/","section":"Categories","summary":"","title":"Tài Liệu Kỹ Thuật","type":"categories"},{"content":"","date":"27 October 2025","externalUrl":null,"permalink":"/en/categories/technical-documents/","section":"Categories","summary":"","title":"Technical Documents","type":"categories"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/tags/%E5%A0%B1%E5%91%8A%E9%96%B1%E8%AE%80/","section":"Tags","summary":"","title":"報告閱讀","type":"tags"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/zh-cn/categories/%E6%8A%80%E6%9C%AF%E6%96%87%E6%A1%A3/","section":"Categories","summary":"","title":"技术文档","type":"categories"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/categories/%E6%8A%80%E8%A1%93%E6%96%87%E6%AA%94/","section":"Categories","summary":"","title":"技術文檔","type":"categories"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/zh-cn/tags/%E6%8A%A5%E5%91%8A%E9%98%85%E8%AF%BB/","section":"Tags","summary":"","title":"报告阅读","type":"tags"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/zh-cn/tags/%E6%8E%A8%E7%90%86%E6%A8%A1%E5%9E%8B/","section":"Tags","summary":"","title":"推理模型","type":"tags"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/zh-cn/tags/%E6%99%BA%E8%83%BD%E4%BD%93/","section":"Tags","summary":"","title":"智能体","type":"tags"},{"content":"","date":"2025-10-27","externalUrl":null,"permalink":"/tags/%E6%99%BA%E8%83%BD%E9%AB%94/","section":"Tags","summary":"","title":"智能體","type":"tags"},{"content":" Foreword # Artificial Intelligence is a strategic technology leading the new round of scientific and technological revolution and industrial transformation. The 2025 \u0026ldquo;Government Work Report\u0026rdquo; of Mainland China proposed to continuously promote the \u0026ldquo;AI+\u0026rdquo; action. In this context, the China Internet Network Information Center (CNNIC) released the \u0026ldquo;Development Report on Generative AI Applications (2025)\u0026rdquo;, analyzing the current status of generative AI applications and development in Mainland China and globally.\nChapter 1: Key Characteristics of Generative AI Development # 1. Fruitful Achievements in Mainland China\u0026rsquo;s AI # As of June 2025, Mainland China\u0026rsquo;s generative AI user base reached 515 million, with a penetration rate of 36.5%. By the end of August, a total of 538 generative AI services had completed registration. Notably, products like DeepSeek have gained significant international attention. DeepSeek-R1, with its excellent performance and extremely low cost, has become the world\u0026rsquo;s fastest-growing generative AI application.\n2. Significant Improvement in Logical Reasoning # The scale of model parameters continues to expand (GPT-4 estimated at 1.76 trillion), and architectural designs are being optimized (e.g., Mixture of Experts, MoE), leading to outstanding performance in multi-turn dialogues, code generation, and complex reasoning tasks.\n3. Leapfrog Development in Multi-modal Capabilities # Transitioning from single-text to any combination of text, audio, image, and video input/output. Models such as OpenAI\u0026rsquo;s Sora, Kuaishou\u0026rsquo;s \u0026ldquo;Keling 2.0\u0026rdquo;, and Alibaba Cloud\u0026rsquo;s \u0026ldquo;Tongyi Wanxiang\u0026rdquo; have significantly lowered the barriers to content creation.\n4. Significant Reduction in Inference Costs and Lightweighting # Inference costs have dropped by more than 280 times in two years. Companies are launching lightweight models (e.g., \u0026ldquo;Ziyue 3 Mathematics Model\u0026rdquo;), pushing AI from the cloud to the edge (mobile phones, IoT devices).\nChapter 2: User Adoption and Demographics # Market Landscape: Doubao (72.2%) and DeepSeek (62.0%) lead in user utilization rates. Purpose of Use: Answering questions (80.9%), processing text (36.0%), generating images/videos (33.0%). Age Structure: Young and middle-aged users are the primary group, with users aged 19 and below accounting for the highest proportion (33.8%). Minors\u0026rsquo; Application: 15.2% of minor internet users use it to learn extracurricular knowledge. Chapter 3: Typical Application Scenarios # Sector Application Highlights Agriculture Shennon large model, intelligent irrigation systems, autonomous farm machinery, digital human live streaming. Manufacturing \u0026ldquo;Taipu\u0026rdquo; digital supply chain, humanoid robot Walker S1, AI quality inspection alliance. Lifestyle Services AI Search (Search as a Service), intelligent game NPCs, automated code generation. Scientific Research Lunar science multi-modal large model, Earth science large model \u0026ldquo;Kunyuan\u0026rdquo;, solar large model \u0026ldquo;Jinwu\u0026rdquo;. Chapter 4: Future Outlook # Model Integration: Unified system designs like GPT-5 will automatically switch reasoning modes based on needs. Open Source Communities: Platforms like GitHub and Hugging Face provide new impetus for technological progress. Embodied AI: The combination of robotics and generative AI will lead to more human-like interactive experiences. AI Agents: Shifting from \u0026ldquo;interaction\u0026rdquo; to \u0026ldquo;execution,\u0026rdquo; capable of independently operating computers to complete complex tasks. Note The data in this report is based on a CNNIC survey from June 2025. Read the original report (PDF)\n","date":"26 October 2025","externalUrl":null,"permalink":"/en/news/gen-ai-report-2025/","section":"Association News","summary":"As of June 2025, Mainland China’s generative AI user base reached 515 million, with a penetration rate of 36.5%. The report highlights significant progress in domestic large models and cross-modal capabilities.","title":"[Report] Mainland China's Development Report on Generative AI Applications (2025)","type":"news"},{"content":"","date":"26 October 2025","externalUrl":null,"permalink":"/vi/tags/ai-t%E1%BA%A1o-sinh/","section":"Tags","summary":"","title":"AI Tạo Sinh","type":"tags"},{"content":"","date":"26 October 2025","externalUrl":null,"permalink":"/en/tags/cnnic/","section":"Tags","summary":"","title":"CNNIC","type":"tags"},{"content":"","date":"26 October 2025","externalUrl":null,"permalink":"/en/tags/generative-ai/","section":"Tags","summary":"","title":"Generative AI","type":"tags"},{"content":"","date":"2025-10-26","externalUrl":null,"permalink":"/zh-cn/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/","section":"Tags","summary":"","title":"人工智能","type":"tags"},{"content":"","date":"2025-10-26","externalUrl":null,"permalink":"/zh-cn/tags/%E7%94%9F%E6%88%90%E5%BC%8Fai/","section":"Tags","summary":"","title":"生成式AI","type":"tags"},{"content":" Chinese AI Application Development Association (CAIADA) # 中華AI應用發展協會\nThe Chinese AI Application Development Association (CAIADA) is a legally established non-profit public interest social organization. The association connects academia, industry, government, and professional communities to advance artificial intelligence technology, industrial applications, and talent development.\nMission and Vision # CAIADA focuses on promoting the development of artificial intelligence technology and industrial applications, supporting the sustainable growth of an intelligent society, and building a cross-sector, cross-industry, and cross-regional platform for AI application exchange.\nThrough industry exchange, resource integration, business matching, and ecosystem building, the association helps members understand AI technology trends, expand cooperation opportunities, and support practical AI applications in education, industry, public services, and social innovation.\nPurpose and Tasks # Purpose: To promote the development of artificial intelligence technology and industrial applications, and to support the sustainable growth of an intelligent society.\nThe association promotes and carries out the following tasks in accordance with relevant laws and regulations:\nResearch and development of core artificial intelligence technologies and promotion of cross-domain applications. International AI technology exchange and promotion of industrial cooperation. AI application-oriented journal publishing and industrial knowledge sharing. AI technical talent development and educational promotion. Government AI policy recommendations and preparation of industrial white papers. Promotion and implementation of programs to reduce urban-rural and generational AI digital divides. Protection of member rights and operation of an integrated industrial information platform. AI technology competitions and talent discovery systems. Association Structure # The President and Vice Presidents jointly support the association\u0026rsquo;s development, member services, and external exchange.\nJiang Tao President Promotes CAIADA's development, AI technology exchange, and industrial cooperation.\nXu Huiyao Vice President Supports member services, cross-sector exchange, and AI application cooperation.\nYao Yunhui Vice President Associate Professor at the Graduate Institute of National Development and Mainland China Studies, Chinese Culture University; specializes in comparative social policy, with a focus on AI governance and public policy applications.\n","date":"1 January 2024","externalUrl":null,"permalink":"/en/about/","section":"About the Association","summary":"Chinese AI Application Development Association (CAIADA) # 中華AI應用發展協會\nThe Chinese AI Application Development Association (CAIADA) is a legally established non-profit public interest social organization. The association connects academia, industry, government, and professional communities to advance artificial intelligence technology, industrial applications, and talent development.\nMission and Vision # CAIADA focuses on promoting the development of artificial intelligence technology and industrial applications, supporting the sustainable growth of an intelligent society, and building a cross-sector, cross-industry, and cross-regional platform for AI application exchange.\n","title":"About the Association","type":"about"},{"content":"","date":"1 January 2024","externalUrl":null,"permalink":"/en/news/","section":"Association News","summary":"","title":"Association News","type":"news"},{"content":"","externalUrl":null,"permalink":"/en/authors/","section":"Authors","summary":"","title":"Authors","type":"authors"},{"content":"","externalUrl":null,"permalink":"/en/series/","section":"Series","summary":"","title":"Series","type":"series"},{"content":"中華AI應用發展協會會員權益\nMembership\n加入會員 會員服務以 AI 產業交流、專題內容與活動資訊為核心，協助會員更快掌握趨勢、參與交流，並把 AI 應用帶回自己的工作現場。\n會員年費\nNT$ 3,600 每年\n加入入口籌備中 會員專屬內容 提供 AI 應用觀察、行業資料、課程重點與協會活動整理，讓會員用更少時間掌握真正值得看的內容。\n活動通知與優先報名 會員可優先接收產業參訪、課程活動、主題講座與協會交流活動資訊。\n主題社群交流 圍繞 AI 工具、產業案例、商務應用與學習路徑，建立更聚焦的會員交流場景。\n後續加入方式 正式入口完成後，將連結至會員內容平台，處理加入會員、內容觀看與會員互動。\n適合對象 適合關注 AI 應用、產業交流、課程活動與跨域合作的個人、教育工作者、產業從業者與創新團隊。\n","externalUrl":null,"permalink":"/join/","section":"加入會員","summary":"中華AI應用發展協會會員權益\nMembership\n加入會員 會員服務以 AI 產業交流、專題內容與活動資訊為核心，協助會員更快掌握趨勢、參與交流，並把 AI 應用帶回自己的工作現場。\n會員年費\nNT$ 3,600 每年\n加入入口籌備中 會員專屬內容 提供 AI 應用觀察、行業資料、課程重點與協會活動整理，讓會員用更少時間掌握真正值得看的內容。\n","title":"加入會員","type":"join"}]