Core Insights - Tuya Smart hosted "Tuya Developer Day" at CES 2026, focusing on the theme "Accelerating the Physical AI Era Together," gathering leaders from top tech companies to discuss AI advancements [1] Leadership Dialogue - Alex Yang, COO and CFO of Tuya, discussed the transition of AI from concepts to large-scale applications with representatives from Google Cloud and AWS, emphasizing insights on AI-native devices [2] - Praveen Rao from Google Cloud highlighted the evolution of multimodal capabilities in AI systems, indicating a shift from virtual applications to real-world integration, aiming for proactive AI services [3] - Danny Smith from AWS noted the development of enterprise-scale agentic AI with Tuya, which can process multidimensional data and make optimal decisions rapidly, enhancing business outcomes [3] Panel Discussion - Chuck Sabin from Bluetooth SIG emphasized the importance of connectivity as a driver of innovation, collaborating with Tuya to enhance interoperability across devices [4] - Jeff Platon from the Wi-Fi Alliance discussed how AI is transforming connectivity experiences, ensuring Wi-Fi remains a secure foundation for intelligent applications [4] - Jon Harros from the Connectivity Standards Alliance stressed the need for open standards and collaboration to foster secure, interoperable AI solutions, with Tuya playing a key role [4] - Colin Cureton from Silicon Labs pointed out the challenges of fragmentation in deploying AI-native systems, advocating for partnerships to create robust connectivity platforms [4] Keynote Presentations - Alex Yang presented on how AI is redefining life, focusing on creating intuitive experiences that integrate smart devices and services to enhance daily living [5] - Joe Sun, CEO of Robopoet, discussed emotional companion robots for Gen-Z, highlighting their ability to form deeper emotional connections through Tuya's technology [5] - Olivier Garreau from Wisdom Oasis AI emphasized AI's role in enhancing parent-infant interactions, showcasing Tuya's technology in understanding subtle needs [5] - The event showcased breakthroughs in AI technology, including multimodal perception and emotional companionship, with a commitment to advancing Physical AI through collaboration [5]

Key Takeaways SKIL 3Q26 revenues dip 6% y/y as the GK segment fell 18%, urging management to review strategic alternatives.FUTU posted 86.3% y/y revenue growth, with commissions up 90.6% and operating margin expanding 160 bps.FUTU expanded funded accounts 42.6% y/y and saw crypto trading volume jump 161% sequentially.Both Skillsoft (SKIL) and Futu Holdings (FUTU) are tech-driven companies aiming at niche growth markets. FUTU operates in the brokerage and fintech services space, while SKIL finds itself withi ...

种子轮拿到数百万美元融资、估值近千万，朱啸虎的金沙江创投、高瓴创投和 Classin 共同投资。 Refly.AI 给自己的定位是更适合大众的 Vibe Workflow 产品。 为什么要做 Vibe Workflow？原因很简单，现在的 Workflow 产品 n8n、扣子都太难用，以及团队对于 Workflow 价值的认可。 他们的目标，是让不会技术的人也能轻松把自己的流程经验复制并分享给其他人，实现价值。 不仅仅是用 AI 来降低搭建 Workflow 的难度，Refly.AI 还把 n8n 中的节点升级成为单独的 agent，每个 agent 配上 2-3 个工具。在保留 agent 动态性的同 时，获得传统 Workflow 的可控性与稳定性。 看起来有些激进，但 Refly.AI 确信这样的方式才是有效利用模型能力的最好方式。 为什么如此笃定？既然做 Workflow，怎么控制成本，怎么保证完成度？Refly.AI 取代 n8n 的底气又来自哪里？ 在 Refly.AI 的新版本发布之际，我们和创始人& CEO 黄巍聊了聊，想搞清楚，AI-native 的 Workflow 应该长什么样。 以下内 ...

Core Viewpoint - The article discusses the innovative application of financial technology in the change quality management of core trading systems at Changjiang Securities, highlighting the transition from experience-driven to data-driven management through the implementation of an AI-native intelligent change quality management platform [2][37]. Group 1: Research Background - The core trading system is essential for securities companies, directly impacting market stability and investor rights, facing unprecedented operational pressures and change challenges due to market reforms and technological advancements [3]. - From 2014 to 2024, regulatory bodies issued 49 IT-related penalties to 33 securities firms, with 34 related to information security, indicating vulnerabilities in core trading systems [3]. - Strengthening change quality management in core trading systems is crucial for the digital transformation of the securities industry, with Changjiang Securities leading the exploration of financial technology applications in this area [3][4]. Group 2: Company Overview - Changjiang Securities, established in 1991 and listed in 2007, is a comprehensive financial service provider in China, offering a wide range of services including wealth management, investment banking, and asset management [4][5]. - The company operates a financial holding group structure with subsidiaries across various sectors, aiming to enhance its service model and drive business innovation [5][6]. Group 3: Technology Empowerment and System Construction - The company emphasizes the importance of robust and secure core systems, viewing change quality management as critical for business continuity and customer experience [7]. - In 2024, the company faced over 13,400 modification points in system upgrades, highlighting the inadequacy of traditional quality management methods reliant on manual experience [7][8]. Group 4: Research Findings - Traditional change quality management faces significant limitations in efficiency, precision, and coverage due to reliance on personal experience and lack of systematic support [8][9]. - The complexity of the core trading system, with millions of lines of code and thousands of interfaces, hampers efficient understanding and problem identification [10][11]. - Manual evaluation of numerous change points is insufficient for comprehensive risk assessment, leading to potential oversights [11][12]. Group 5: Intelligent Change Quality Management Solutions - Changjiang Securities developed an AI-native intelligent change quality management platform, integrating various technologies to enhance the entire change lifecycle [14][19]. - The platform includes a layered evaluation model, standardized management processes, and intelligent technology support to improve risk assessment and operational efficiency [15][17][19]. Group 6: Practical Outcomes and Value - The application of financial technology has led to significant improvements in change risk assessment accuracy, system stability, and operational efficiency [27][29]. - The automated and intelligent management of change processes has reduced implementation cycles by approximately one-third and testing time by 70% [30][31]. - The platform has enabled the creation of high-quality data assets from various system-generated data, driving business innovation and enhancing market competitiveness [32]. Group 7: Experience Summary and Outlook - The intelligent transformation of change quality management is a complex process involving technology, processes, and organizational culture, requiring continuous optimization and collaboration [33]. - Future efforts will focus on establishing a feedback loop for continuous improvement, enhancing human-machine collaboration, and promoting industry standards [34][36].

Financial Performance - GitLab's Q2 FY26 revenue reached $236 million, demonstrating a 29% year-over-year growth rate[7, 56] - The company achieved a 17% Non-GAAP operating margin in Q2 FY26[7, 56] - GitLab's Non-GAAP adjusted free cash flow margin was 20% in Q2 FY26, translating to $46 million in adjusted free cash flow[7, 56] - The dollar-based net retention rate was 121%[7] Customer Growth and ARR - GitLab has 10,338 base customers[7] - The number of customers with over $100K in ARR reached 1,344[7] - GitLab Dedicated accounts for $50 million of total ARR[26] Strategic Objectives - GitLab aims to acquire new customers through sales-led growth, focusing on first-order lands and module adoption[10, 12] - The company is accelerating customer value realization through sales excellence and faster value demonstration[18, 19] - GitLab is shifting towards depth-first innovation, investing in core DevOps, security, and AI growth levers[32] Product and AI - GitLab Ultimate contributes 53% of the company's total ARR[22] - 56% of startups joining the GitLab Startup Program in Q2 FY26 are AI companies[14] - Customer surveys indicate that 91% believe AI-native dev tools will increase their GitLab usage[43]

Core Viewpoint - Confluent, Inc. is under investigation for potential violations of federal securities laws following a significant drop in stock price after the release of its Q2 2025 financial results, which indicated a reduction in revenue growth due to a major client's shift towards self-management of data platforms [1][2]. Financial Performance - On July 30, 2025, Confluent reported its Q2 2025 financial results, highlighting that an AI-native customer is reducing its usage of Confluent Cloud, which is expected to dampen Q4 cloud revenue growth by low single digits [2]. - Following this announcement, Confluent's stock price fell by $8.67, or 32.8%, closing at $17.73 per share on July 31, 2025, resulting in financial losses for investors [2].

作者：张昊然，Motiff 妙多 Co-Founder、副总裁 编辑：Cage 曾被专业设计师看成"玩具"的生成式 UI，如今正在和 vibe coding 一起改写开发和设计工作流，需求- >代码->设计的新工作流开始出现。本文回溯了这场演变：从早期「拼乐高」式的模板化设计，到 Claude Sonnet 3.5 更新开始模型有了创造力、直接写出高美感和风格化的前端代码，到如今 AI 展现 出理解并遵循特定"设计系统"的能力。 AI 设计的表达力和风格多样性这两个维度上实现了跃迁式进步，让我们开始期待未来有 AI-native 的 设计编辑器，设计中的 70%+ 工作由 AI 完成，类似设计领域的 Cursor 甚至 Devin。设计师的价值不 再是操作设计工具进行构建，而是回归设计本身进行更多的思考、呈现更多的创意方案、推进更高 质量的决策。 本文是一篇读者投稿，来自 Motiff 妙多的 Cofounder 昊然。他基于这两年打造 AI-native 设计工具的 经验，对 AI+设计领域的未来可能性进行了推演，尤其是如何在模型能力的飞速进展下对业务方向 和技术路线作出决策。相信来自优秀读者朋友的实践和观 ...