Core Insights - The article highlights the significant American companies that have shaped the nation's identity and economy as it approaches its 250th birthday, emphasizing their cultural and historical impact rather than just financial metrics [1][2]. Group 1: Visa - Visa was established in 1958 as BankAmericard, launching the first consumer credit card in the U.S. [3][6] - The company rebranded as Visa in 1976 and went public in 2008, currently holding a market cap of $632 billion [4][6]. - Visa operates in over 220 countries and territories, accepted at more than 175 million merchants [7]. Group 2: Meta (Facebook) - Facebook was founded in 2004 by Mark Zuckerberg and quickly grew to 1 billion users by 2012, later rebranding to Meta in 2021 [9][13][14]. - The platform has faced controversies regarding user data and misinformation but remains a dominant social media service with over 3 billion regular users [15]. Group 3: Boeing - Boeing, established in 1916, is a leading aerospace company known for producing commercial jets and military aircraft [15][16]. - The company has faced challenges in recent years, including safety allegations and COVID-19 impacts, but continues to be a major player in the industry with a market cap of $185 billion [20][21]. Group 4: Tesla - Tesla was founded in 2003, with Elon Musk joining in 2004, and has become synonymous with electric vehicles, launching the Model 3 in 2017 as the best-selling electric car [23][27]. - The company has a market cap of $1.4 trillion and is recognized for driving electric vehicles into the mainstream [28]. Group 5: Patagonia - Patagonia was founded in 1973 by Yvon Chouinard, known for its commitment to sustainability and donating 1% of sales to environmental causes [30][33]. - The company has expanded from climbing gear to a wide range of outdoor apparel and is estimated to have a market cap of $3 billion [33]. Group 6: Intel - Intel was founded in 1968 and became a leader in semiconductor technology, introducing the first programmable microprocessor in 1971 [34][35]. - The company has maintained a significant market presence, controlling approximately 75% of the CPU market as of 2025 [38]. Group 7: HP - HP was established in 1939, initially focusing on sound equipment and later becoming a leader in personal computers and printers [40][42]. - The company split into HP Inc. and Hewlett Packard Enterprises in 2015, with HP Inc. having a market cap of $18 billion [45]. Group 8: Nike - Nike was founded in 1964 as Blue Ribbon Sports and rebranded in 1971, becoming a dominant player in the sportswear market with a 14% share in 2024 [46][50]. - The company gained fame through its endorsement deal with Michael Jordan, significantly boosting its brand recognition [48]. Group 9: Kodak - Kodak was founded in 1888 and became a pioneer in photography, introducing innovations like roll film and the first digital camera [51][54]. - The company filed for bankruptcy in 2012 and now focuses primarily on commercial printing and imaging [56]. Group 10: IBM - IBM was established in 1911 and became synonymous with computing, initially focusing on tabulating machines and later dominating the PC market [59][62]. - The company has shifted its focus to consulting, software, and cloud computing, with a market cap of $291 billion [67]. Group 11: Paramount Pictures - Paramount Pictures, founded in 1912, is recognized as the longest-operating major studio in Hollywood, producing numerous iconic films [68][70]. - The studio has undergone various mergers and continues to be a significant player in the entertainment industry with a market cap of $12 billion [74]. Group 12: Netflix - Netflix was founded in 1997 as a DVD rental service and transitioned to streaming in 2007, becoming a leader in the industry [77][80]. - The company has a market cap of $351 billion and announced plans to acquire Warner Bros. Discovery in 2025 [81]. Group 13: FedEx - FedEx was founded in 1971, revolutionizing overnight delivery with a centralized hub model [83][84]. - The company has introduced several innovations in the shipping industry and has a market cap of $74 billion [88]. Group 14: Motown - Motown Records, established in 1959, played a crucial role in integrating Black artists into mainstream pop music [91][92]. - The label produced numerous hits and helped launch the careers of many iconic artists, although it faded in prominence during the 1970s [94][96]. Group 15: PepsiCo - PepsiCo was formed in 1965 through the merger of the Pepsi-Cola Company and Frito-Lay, becoming a leading global food and beverage brand [99][100]. - The company is known for its innovative marketing strategies and has a significant rivalry with Coca-Cola [101]. Group 16: Levi Strauss - Levi Strauss, founded in 1853, is known for creating the first riveted blue jeans, which have become a cultural staple [104][106]. - The company continues to sell a wide range of apparel and remains a significant player in the fashion industry [106]. Group 17: Microsoft - Microsoft was founded in 1975 and became a leader in software development, particularly with its Windows operating system [109][110]. - The company has expanded into gaming, cloud services, and AI, with a market cap of $7.8 billion [112]. Group 18: The Home Depot - The Home Depot was established in 1978, focusing on providing a wide range of building supplies and home improvement products [115][116]. - The company has a strong commitment to community initiatives, particularly supporting veterans, and has a market cap of $3.2 trillion [118]. Group 19: WK Kellogg Company - WK Kellogg Company was formed from the original Kellogg's brand, known for its iconic cereals and snacks [121][123]. - The company underwent a reorganization in 2023, with its cereal business spun off into a new entity [123].

Core Viewpoint - Micron stock (NASDAQ: MU) experienced a surge of over 4% as investors reacted positively to the company's announcement of a $24 billion capacity expansion in Singapore [1] Group 1 - The $24 billion investment is aimed at expanding Micron's production capacity, which is expected to enhance its market position [1] - The market's optimistic response indicates strong investor confidence in Micron's growth strategy and future profitability [1] - This capacity expansion is part of a broader trend in the semiconductor industry, where companies are increasing investments to meet rising demand [1]

证券日报网讯2月2日，沃格光电（603773）在互动平台回答投资者提问时表示，公司与北极雄芯公司建 立战略合作，在新一代IC半导体、玻璃基AI计算芯片封装、玻璃基高频宽存存储封装、玻璃基车载计 算芯片封装、超大尺寸芯片互连领域及集成电路设计等方面开展研发与各项业务合作。目前基于玻璃介 质在多颗芯粒系统级封装方面开展了多套结构设计，包括算力芯片+EMIB硅桥嵌入的玻璃基封装方 案。目前，双方已完成基于多层玻璃堆叠芯片设计及仿真工作，并在工艺方案已取得进展。 ...

每经AI快讯，2月2日，芯导科技(688230.SH)发布2025年年度报告，2025年实现营业收入3.94亿元，同比 增长11.52%；净利润1.06亿元，同比下降4.91%。基本每股收益0.9元。公司拟向全体股东每10股派发现 金红利4.3元(含税)。 ...

Corporate and Sectoral Developments - Morgan Stanley has upgraded its outlook on the US IT Services sector to "in-line," indicating a more neutral to positive assessment of the sector's performance prospects [4] - Toyota has confirmed its "no intention" to increase its $34 billion take-private offer for Toyota Industries, despite challenges from activist investor Elliott, highlighting the company's commitment to its acquisition strategy [5] Market Trends and Economic Indicators - The semiconductor market is expected to experience a significant price surge, with TrendForce forecasting conventional DRAM contract prices to increase by 90-95% in the first quarter compared to the previous quarter, suggesting strong demand or supply constraints in the industry [6] - The European Union has officially published regulations on a gas ban from Russia, marking a significant shift in its energy strategy [7] - France has reported the narrowest gap in its central state's finances since the Covid pandemic, indicating an improvement in its fiscal position [8]

Core Viewpoint - The release of the new open-source Agent base model Step3.5Flash by Jumpsky is aimed at real-time Agent workflow scenarios, utilizing a sparse MoE architecture with a total parameter count of 196 billion, balancing inference speed and cost [1] Group 1: Model Specifications - Step3.5Flash achieves an inference speed of up to 350 tokens per second for single request code tasks [1] - The model activates approximately 11 billion parameters per token [1] Group 2: Industry Collaboration - Multiple chip manufacturers, including Huawei Ascend, Muxi Co., Biran Technology, and Suiruan Technology, have completed adaptations for the Step3.5Flash model [1] - Jumpsky previously initiated the "MoCore Ecological Innovation Alliance" in July 2025 with several chip and infrastructure manufacturers to enhance computing efficiency and promote the application of large models [1] - The model release is seen as a further practice in the direction of model and computing power collaboration [1]

Core Insights - The rise of AI has triggered a super cycle in the storage market, leading to increased performance for domestic storage manufacturers and accelerating their path to capitalization [1] - Multiple storage companies have submitted IPO applications, indicating a diverse and tiered advancement in the industry [3] Group 1: Market Trends - Since January, several storage companies have filed for IPOs in Hong Kong, including Micron Technology, Starry Sky Technology, and Chip Universe, reflecting a growing trend in the storage industry [1][3] - The top five distributed AI storage solution providers in China hold a combined market share of 52.3%, with Starry Sky Technology ranking second at 10.4% [4] Group 2: Company Performance - Zhaoyi Innovation's stock price surged by 106.79% since its debut on January 13, reaching a market capitalization of 245.3 billion HKD by January 30 [7] - Micron Technology, the largest independent storage manufacturer in China, reported stable revenue of 8.78 billion CNY, 8.72 billion CNY, and 7.74 billion CNY for the first three quarters of 2023, 2024, and 2025 respectively [6] - Starry Sky Technology, aiming to be the first AI storage stock in Hong Kong, reported revenues of 167 million CNY, 172 million CNY, and 195 million CNY for 2023, 2024, and the first nine months of 2025, with a net profit turning positive in 2025 [3][4] Group 3: Investment Dynamics - The current IPO wave is driven by emerging demands in AI and automotive electronics, supported by a favorable capital market environment [6][9] - The cautious expansion strategies of leading companies have reinforced supply-demand imbalances, providing ongoing support for price increases and corporate profitability [9]

Core Insights - The report by Dongfang Securities highlights Moltbot as an open-source personal AI assistant framework that utilizes gateway scheduling and hybrid memory, enabling remote task execution through common chat applications [1] Technical Principles - Moltbot, formerly known as Clawdbot, operates through popular chat platforms like WhatsApp, Telegram, Slack, and iMessage, allowing users to command the AI assistant without switching applications [1] - The architecture of Moltbot is a long-term resident TypeScript CLI process that exposes a unified gateway for handling command requests from various communication channels [1] - The design prioritizes controllability with a serial scheduling model, where tasks are executed in a session-level queue to minimize race conditions and debugging complexity [1] Execution Layer - The Agent Runner employs a standard ReAct closed loop with engineering-level fault tolerance mechanisms, including dynamic prompt assembly and token window protection, ensuring stable operation during long tasks and multi-round tool calls [2] - The memory system records short-term memory in JSONL format and long-term memory in Markdown files, utilizing mixed recall methods to avoid reliance on black-box databases [2] - Moltbot isolates the Shell execution environment through Docker and uses semantic snapshots instead of visual screenshots to compress page states into structured text, significantly reducing token costs and interaction delays [2] Hardware Opportunities - The report suggests that local agents like Moltbot require 24/7 operation, leading to a shift from traditional high-power PCs to localized computing solutions [3] - Edge computing boxes, such as Mac mini, are identified as suitable for local execution and inference, driving demand for low-power, high-performance small hosts [3] - High-performance NAS devices are evolving into "home AI computing centers," suitable for hosting agent gateways and memory systems, with a focus on NPU integration and large memory capacity upgrades [3] Memory Architecture - The report emphasizes the need for innovative unified memory architectures to support Moltbot's reliance on long context and local models, as memory capacity and bandwidth are identified as bottlenecks [3] Power Requirements - The continuous operation of agents like Moltbot creates a demand for low-power computing solutions, with SoC designs that offer ultra-low power listening and wake control being more advantageous [3] Investment Recommendations - Suggested investments include SoC companies like Amlogic and Rockchip, GPU firms such as Cambricon and Loongson, and storage companies like Lianqi Technology [4]

Core Insights - The core focus of the news is the launch of the new open-source Agent base model, Step 3.5 Flash, by Jiyue Xingchen, which is designed for real-time Agent workflow scenarios, balancing inference speed, intelligence level, and cost efficiency [1][3] Model Performance - Step 3.5 Flash achieves a maximum inference speed of 350 tokens per second for single request code tasks [1][3] - The model utilizes a sparse MoE architecture, activating approximately 11 billion parameters per token out of a total of 196 billion parameters, significantly enhancing inference efficiency while maintaining model capability [1][3] Industry Collaboration - Jiyue Xingchen has collaborated with several chip manufacturers, including Huawei Ascend, Muxi Co., Birun Technology, Suiyuan Technology, Tianshu Zhixin, and Alibaba Pingtouge, to adapt Step 3.5 Flash, enhancing model adaptability and computational efficiency [1][3] - The collaboration aims to lower inference costs and reduce the overall barriers for enterprises and developers in applying large models, accelerating the practical application of large models in various scenarios [1][3] Ecosystem Development - In July 2025, Jiyue Xingchen initiated the "MoCore Ecological Innovation Alliance" with nearly 10 chip and infrastructure manufacturers to bridge the technical barriers between chips, models, and platforms [2][4] - The alliance aims to optimize and enhance computational efficiency, facilitating the large-scale application of models across various industry scenarios [2][4] - The industry recognizes that deep collaboration between models and computational resources will be a crucial path for promoting the large-scale application of inference models [2][4]

2 February 2026 | 6:50AM KST Equity Research South Korea Tech: Memory Pricing Tracker: Jan. 2026: 1Q26 DRAM pricing forecast of +90-95% qoq higher than GSe; NAND broadly inline 1Q26 DRAM pricing forecasts across all major applications, as well as for the overall conventional DRAM pricing have been revised up again substantially, where the latter is now at +90-95% qoq (after +45-50% qoq in 4Q25). Note that this is above 1Q26 GSe of +77-82% qoq for Samsung Electronics (SEC) and SK Hynix (Hynix), which we beli ...