Core Insights - Alibaba has launched its new generation open-source model, Qwen3.5-Plus, which is claimed to rival Gemini 3 Pro, making it the strongest open-source model globally [1] Model Performance - The Qwen3.5-Plus version features a total of 397 billion parameters and 17 billion activated parameters, outperforming the trillion-parameter Qwen3-Max model [1] - The deployment memory usage has been reduced by 60%, and inference efficiency has significantly improved, with maximum inference throughput potentially increasing by up to 19 times [1] Pricing Strategy - The API pricing for Qwen3.5-Plus is set at 0.8 yuan per million tokens, which is only 1/18th of the price of Gemini 3 Pro [1]

Core Viewpoint - A class action lawsuit has been filed against Oracle Corporation and certain senior executives for securities fraud, following significant stock drops attributed to potential violations of federal securities laws [1][3]. Company Overview - Oracle Corporation specializes in database software, enterprise applications, and cloud infrastructure and hardware, with a recent strategic shift towards cloud computing and AI infrastructure [4]. Allegations of Misleading Information - Oracle allegedly misled investors regarding its data center development contracts for AI infrastructure, claiming that increased capital expenditures (CapEx) would lead to rapid revenue and profit growth. In reality, the rising CapEx did not yield meaningful near-term revenue, posing risks to the company's debt, credit rating, free cash flow, and project funding capabilities [5]. Stock Performance and Impact - The stock price of Oracle dropped significantly after disclosures in September and December 2025, with a notable decline of $24.16 per share (nearly 11%) on December 11, 2025, following disappointing revenue growth and high CapEx reported on December 10, 2025. The company reported negative free cash flow exceeding $10 billion and failed to raise its revenue projections for 2026 despite increased spending [6].

Core Insights - Insiders at Palantir Technologies have sold over $1 billion worth of stock in the past 12 months, surpassing the company's net income of approximately $1.10 billion during the same period [1][2]. Financial Performance - Palantir reported revenue of roughly $3.91 billion over the trailing 12 months, indicating continued growth and solid profitability [3]. - In Q4 2025, the company achieved revenue of $1.407 billion, a 70% year-over-year increase, and exceeded both revenue and EPS estimates for the tenth consecutive quarter [6]. Insider Transactions - No insider purchases have been reported recently, with all transactions since late 2025 being sales [4]. - Insiders have collectively offloaded over $167 million worth of shares in the last three months, raising questions about management's confidence in the company's valuation [5]. Stock Performance - Despite strong financial fundamentals, Palantir's stock has declined over 25% year-to-date, with the current valuation at $131 [7].

Core Viewpoint - Alibaba has launched the new generation large model Qwen3.5-Plus, which features significant architectural innovations and performance improvements compared to previous versions [1]. Group 1: Model Specifications and Performance - The Qwen3.5-Plus model has a total parameter count of 397 billion, with 17 billion activated parameters, outperforming the trillion-parameter Qwen3-Max model [2]. - The deployment memory usage has been reduced by 60%, and the maximum inference throughput can be increased by up to 19 times [2]. - The API pricing for Qwen3.5-Plus is set at 0.8 yuan per million tokens, which is 1/18 of the price of Gemini 3 Pro [2]. Group 2: Features and Capabilities - Qwen3.5-Plus has been pre-trained on a mixed token of visual and text data, and it now supports 201 languages, expanding the vocabulary size from 150,000 to 250,000, which can enhance encoding efficiency for less common languages by up to 60% [2]. - The Qwen App has launched the world's first consumer-grade AI shopping agent, which completed 120 million orders in just six days during the Spring Festival [2]. Group 3: Accessibility and Future Developments - The Qwen3.5-Plus model is immediately accessible on the Qwen App and PC, with developers able to download it from the Mota community and HuggingFace, or obtain API services directly from Alibaba Cloud [3]. - Alibaba plans to continue releasing different sizes and functionalities of the Qwen3.5 series models, with a more powerful flagship model, Qwen3.5-Max, expected to be released soon [3].

阿里今天下午在chat.qwen.ai页面上线了Qwen3.5-Plus和Qwen3.5-397B-A17B两款新模型。 Qwen3.5-Plus定位为Qwen3.5系列最新大语言模型，Qwen3.5-397B-A17B定位则是Qwen3.5开源系列旗舰大语言模型。两款模型均支持文本和多模态 任务。 ...

Core Viewpoint - The CEO of Goldman Sachs, David Solomon, expressed optimism about the U.S. economy but raised concerns about the tech sector sell-off, particularly regarding software-as-a-service (SaaS) stocks, which are facing disruption fears from AI tools [1][3]. Group 1: Economic Outlook - Solomon described the macro environment for investors as "very good broadly" [1]. - He anticipates a potential "speed bump or recalibration or slowdown" in the stock market this year, influenced by developments in AI and technology [3]. Group 2: Tech Sector Analysis - The Nasdaq-100 index has declined by approximately 2% year to date, underperforming the S&P 500, which is nearly flat [1]. - Solomon criticized the prevailing narrative about AI's impact on the software industry as being "too broad," suggesting that there will be both winners and losers in the market [4]. Group 3: Investment Strategy - Companies in the software sector may adapt to AI advancements, finding new business models and productivity enhancements [5]. - The AI boom does not necessarily imply a downturn for software companies, as many are already leveraging AI tools to improve their offerings [5].

Group 1 - U.S. stocks are expected to receive approximately $11 billion in weekly inflows as annual tax refunds are distributed through mid-April, representing about one-third of annual inflows to U.S. stocks [1] - Deutsche Bank anticipates an additional $50 billion to $100 billion in individual tax refunds this year, which may boost consumer spending [1] - The positive impact on equity flows may be less significant than in 2021 due to lower fiscal stimulus payments, with market perceptions of growth and risk being crucial factors [2] Group 2 - Global earnings increased approximately 15% in the fourth quarter, reaching their highest level in three-and-a-half years, driven primarily by emerging markets and the U.S. [3] - Deutsche Bank raised their estimates for the first quarter and full-year 2026, with significant upgrades for South Korea and Taiwan due to demand from artificial intelligence [3]

2月16日除夕当天，阿里巴巴开源全新一代大模型千问Qwen3.5-Plus。 此次发布的Qwen3.5-Plus版本总参数为3970亿，激活仅170亿，以小胜大，性能超过万亿参数的Qwen3- Max模型，部署显存占用降低60%，推理效率大幅提升，最大推理吞吐量可提升至19倍。Qwen3.5-Plus 的API价格每百万Token低至0.8元，仅为Gemini 3 pro的1/18。 炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 据悉，千问APP、PC端已第一时间接入Qwen3.5-Plus模型。开发者可在魔搭社区和HuggingFace下载新 模型，或通过阿里云百炼直接获取API服务。 （来源：智通财经） ...

Core Viewpoint - Alibaba Cloud has launched the new generation open-source model Qwen 3.5-Plus, which is claimed to be the strongest open-source model globally, marking a significant advancement from a pure text model to a native multimodal model [1] Group 1 - Qwen 3.5 has transitioned from pre-training on pure text tokens to pre-training on a mix of visual and text tokens, enhancing its capabilities [1] - The model has significantly increased its dataset, incorporating multilingual, STEM, and reasoning data, which allows it to acquire more comprehensive world knowledge and reasoning logic [1] - Qwen 3.5 achieves top-tier performance with less than 40% of the parameter count compared to the Qwen 3-Max base model, which has over one trillion parameters, excelling in various benchmark evaluations including reasoning, programming, and agent intelligence [1]

Core Insights - The article highlights the advancements of Alibaba Cloud's Qwen3.5 model, which features a hybrid architecture that combines linear attention mechanisms with sparse mixture of experts, resulting in improved inference efficiency [1] Group 1: Model Performance - The Qwen3.5 series demonstrates exceptional performance comparable to leading edge models in various task evaluations [1] - There has been a significant leap in model effectiveness in both pure text and multimodal tasks compared to the previous 3 series [1]