Core Insights - Adobe (ADBE) reported Q4/2025 earnings on December 10, 2025, showing consistent growth, yet the stock price has only increased by 2.7% since the earnings date, indicating underperformance compared to the overall market this year [1] Financial Performance - The company demonstrated consistent growth in its earnings report for Q4/2025, although specific financial metrics were not detailed in the provided text [1] Market Performance - Adobe's stock has significantly underperformed the overall market throughout the year, suggesting potential concerns regarding investor sentiment or market positioning [1]

克雷西 发自 凹非寺 量子位 | 公众号 QbitAI 30周年之际，Ruby语言带着全新的4.0版本，给开发者送上了年终大礼。 新 增隔离命名空间 、 新的JIT编译器 ，还有重设计的 Ractor API ，这款开源语言迎来一系列更新。 Ruby是一种开源的面向对象脚本语言，在20世纪90年代由日本人松本行弘开发，遵守GPL协议和Ruby License。 其主要特性就是简单快捷，变量没有类型、任何东西都有值，不需要注释就可以读懂。 对于这次更新，网友们给予了高度评价，表示要是没有Ruby更新，连圣诞节都不完整了。 那么，30岁的Ruby，这次都迎来了哪些更新呢？ 全新编译器ZJIT Ruby 4.0中，Rails at Scale团队正式推出了名为 ZJIT 的全新即时编译器（Just-In-Time Compiler）。 这是一种一种传统的方法级编译器，核心架构采用了 静态单赋值 （SSA，Static Single Assignment）形式的中间表示，旨在突破现有YJIT 编译器的性能上限。 传统的Ruby解释器是逐行执行代码，效率较低，而JIT编译器则是将热点代码转换成机器码。 其中，YJIT的 ...

Core Viewpoint - Cursor, an AI-assisted development tool by Anysphere, has launched its v2.2 version with significant new features, including an upgraded debugging mode and a visual web editor, but faces criticism over cost transparency and user experience issues [4][6][7]. Group 1: New Features - The upgraded debugging mode allows developers to describe bugs to the AI, which then inserts log statements to identify issues and suggests fixes, aiming for more precise repairs without generating excessive "guesswork code" [4]. - The visual web editor enables developers to adjust page elements easily through a sidebar, with real-time updates to the code and a hot reload feature for immediate visual feedback [4]. Group 2: Cost Concerns - Developers express concerns over the cost implications of using the AI for even minor adjustments, questioning the necessity of AI involvement for small design changes [6]. - Cursor's pricing model is based on usage, with different packages offering varying free quotas, but the specific costs for operations remain opaque, leading to dissatisfaction among users [6]. - Some developers feel that using Cursor to access third-party models is significantly more expensive than direct subscriptions to those models [6]. Group 3: User Experience Issues - Frequent changes to the user interface have frustrated developers, who find the constant need to reconfigure settings tedious [7]. - The lack of clear product management and a defined product roadmap has been highlighted as a contributing factor to the poor user experience, with developers calling for better oversight and management [9]. - Core bugs reported by users have been largely ignored, leading some teams to cancel their subscriptions due to the focus on new features over fixing existing issues [10].

Core Insights - The article discusses the evolution of design and engineering roles, emphasizing the merging of these disciplines through the use of AI tools like Cursor, which allows designers to code and engineers to design, creating a common language of code [4][62][66] - Ryo Lu, the design lead at Cursor, shares his vision of breaking down the barriers between designers and engineers, advocating for a hands-on, iterative approach to learning and building [5][11][62] Group 1: Design Philosophy - Ryo Lu's personal KPI for the year is to transform all designers into programmers, encouraging a collaborative environment where both roles can communicate through code [4][11] - The design process is shifting from a focus on perfection to an emphasis on building and iterating, where initial outputs may be rough but serve as a foundation for further refinement [62][64] - The importance of understanding core elements and primitives in design is highlighted, suggesting that simplicity and flexibility in foundational concepts can lead to more effective solutions [23][71] Group 2: Tool Development and User Experience - Cursor has evolved significantly, with a focus on integrating AI agents that enhance user interaction and streamline the coding process, making it accessible even for those without coding experience [17][20][62] - The design team at Cursor has implemented a new layout prioritizing AI agents, allowing users to interact with the tool more intuitively and efficiently [20][21] - Ryo Lu emphasizes the need for a clean and simple user interface that adapts to user preferences while maintaining functionality, avoiding the pitfalls of feature bloat [22][24] Group 3: Future of Design and Engineering - The future of design is envisioned as a sculpting process where designers refine AI-generated outputs, focusing on craftsmanship and detail rather than just initial creation [64][68] - The article suggests that as AI tools become more integrated into the design process, the roles of designers and engineers will continue to blur, fostering a more collaborative and innovative environment [66][70] - Ryo Lu advises designers to focus on core concepts that will remain relevant over time, ensuring that their work can evolve alongside changing technologies and user needs [71][72]

| ﻟ | 12月 1-7 12月 8-14 | 12月 15-21 | 12月 22-28 | 12月 29-1月 4 | 1 | | --- | --- | --- | --- | --- | --- | | LOKI | Loki.Build | | | O | 0 | | | Design and ship studio-grade landing pages with Al | | | 105 | 639 | | | S Website Builder · Artificial Intelligence · No-Code | | | | | | . | hq0 | | | O | 0 | | | Host meetings on your website instead of Zoom or Google Meet | | | 62 | 528 | | | Chrome Extensions · Productivity · SaaS | | | | | | 200 | Unloop | | | O | 0 | | | Visual pattern mapping for adhd & neuro ...

Core Viewpoint - High valuations and uncertain business conditions are expected to negatively impact certain AI stocks over the next year, despite significant returns since the end of the 2022 bear market [1] Group 1: Palantir Technologies - Palantir Technologies has seen its stock rise nearly 33-fold from its 2022 low, driven by its Artificial Intelligence Platform (AIP) which has delivered substantial productivity gains for clients [4] - The stock is currently trading at a market cap of $450 billion, with a trailing P/E ratio just above 450 and a forward P/E of around 270, indicating potential bubble territory [5][7] - Revenue for the first nine months of 2025 increased by 51% year over year, but the stock is priced beyond perfection, raising questions about its near-term upside [8] Group 2: C3.ai - C3.ai has developed over 130 software applications for AI adoption, but has faced significant challenges, including the departure of its founder and CEO due to health issues [9][10] - The company reduced its fiscal 2026 revenue guidance from $448 million-$485 million to $290 million-$310 million, with a 20% year-over-year revenue decline in the first half of fiscal 2026 [11][12] - The stock has fallen over 60% from a year ago, trading at a P/S ratio of 5, but deteriorating financials and uncertain management direction raise concerns about its investment viability [14] Group 3: Rigetti Computing - Rigetti Computing operates in the quantum computing sector, which is crucial for next-generation AI, but faces competition from larger companies like Alphabet and IBM [15][16] - The company reported a revenue of just $5.2 million in the first nine months of 2025, a 39% decline from the previous year, and incurred a net loss of $198 million [18][19] - The stock has decreased nearly 60% from its October 2025 high, and with a price-to-book ratio of 22, it presents more risk than reward for investors [19]

Group 1 - The core viewpoint of the articles emphasizes the importance of adapting education to meet the evolving demands of the AI industry, highlighting a disconnect between academic curricula and job market needs [2][3] - AI evangelist Andrew Ng argues that the fear of AI automating coding jobs is misplaced, suggesting that as programming becomes easier, more people will engage in it, leading to an increase in demand for software engineers [2] - There is a new stereotype that recent graduates can outperform experienced engineers due to their familiarity with AI technologies, but the most skilled engineers are those with deep architectural understanding and a commitment to continuous learning [3] Group 2 - Companies are struggling to find enough GenAI application developers who can effectively utilize AI coding assistants and create high-value applications, indicating a gap in the current workforce [3] - The rapid pace of technological change is outstripping the ability of educational institutions to update their curricula, resulting in a skills mismatch in the job market [3] - The future will require more software development, and the challenge lies in enhancing the skills of both developers and non-developers to effectively use AI tools and significantly boost productivity [3]

Core Investment Thesis - Figma and CoreWeave are positioned to benefit from the expanding artificial intelligence (AI) market, making them attractive long-term investment opportunities [1][3]. Figma Overview - Figma is a developer of cloud-based user interface (UI) and user experience (UX) design tools, experiencing significant growth with a 45% year-over-year increase in customers generating at least $10,000 in annual recurring revenue (ARR), reaching 10,517 customers [5]. - The company's total revenue rose by 48% to $749 million, with a net dollar retention rate of 134%, indicating strong customer loyalty and growth potential [5][9]. - Figma's tools are lightweight and scalable, operating natively in web browsers, which enhances collaboration among users [6]. - The market capitalization of Figma is currently $19 billion, with a valuation of 15 times its projected 2026 sales [8]. - Analysts project Figma's revenue to grow at a compound annual growth rate (CAGR) of 27% from 2024 to 2027, reaching $1.53 billion, while narrowing its net loss from $732 million to $331 million [9]. CoreWeave Overview - CoreWeave transitioned from an Ethereum mining company to a provider of cloud-based GPU services for AI and machine learning tasks, operating 33 data centers across the U.S. and Europe [10]. - The company offers a cost-effective solution for AI software companies, processing tasks approximately 35 times faster and 80% more cost-effectively than larger cloud platforms [11]. - CoreWeave's revenue surged by 738% in 2024, reaching $1.92 billion, with expectations of a CAGR of 116% from 2024 to 2027, potentially reaching $19.2 billion [13]. - The market capitalization of CoreWeave is $38 billion, with a valuation of three times its projected 2026 sales, indicating a potentially attractive investment despite concerns over rising debt and dilution [14].

Group 1: UiPath - UiPath is trading at a forward price-to-sales (P/S) multiple of 5 times 2026 analyst estimates, indicating significant upside potential if it transitions into an AI agent operating system [4] - The company has a strong foundation in robotic process automation (RPA), which positions it well to lead in AI agent orchestration as this market expands [4] - UiPath's platform includes tools for securely managing and auditing AI agents, which is crucial for ensuring proper oversight and functionality [6] - The Maestro platform can manage both software bots and AI agents, optimizing task assignments and offering cost-saving advantages [7] - If UiPath becomes the leading AI orchestration tool, it has the potential for tenfold growth given the market size and its current valuation [8] Group 2: SentinelOne - SentinelOne is trading at a forward P/S multiple of 4 times, presenting an opportunity for significant growth in the next decade [9] - The company aims to capture market share in cybersecurity against larger competitors like CrowdStrike, leveraging its technology that allows threat blocking even when machines are offline [10] - SentinelOne's recent acquisition of Prompt Security enhances its ability to provide real-time AI visibility and protect against data leakage, differentiating it in the cybersecurity space [12] - The Singularity Data Lake product positions SentinelOne to compete with Splunk, enabling customers to make secure data queries using natural language, which is faster and more cost-effective [13]

Group 1 - Domo, Inc. (NASDAQ:DOMO) is currently viewed as a promising investment opportunity, with an 'Overweight' rating and a price target of $22 from Cantor Fitzgerald [1] - An analyst from Stephens suggested that Domo could be a potential acquisition target for companies like Snowflake or Databricks, following a significant acquisition in the sector [2] - DA Davidson reduced its price target for Domo from $13.00 to $10.00 while maintaining a Neutral rating, citing concerns over prolonged sales cycles affecting billings [3] Group 2 - Domo operates a cloud-based platform focused on modern AI and data products, and has a strategic partnership with Altis Consulting to enhance its data solutions [3] - The recent trends in the industry indicate a growing importance of real-time streaming workloads for AI and database migration, which could lead to further consolidation among top data technology firms [2]