Welcome back to Market on Close. I'm Sam Bardis live from the floor of the New York Stock Exchange. It's time now for Overlooked Stocks.Shares of Sirrus Logic touching a new 52- week high after it topped earnings estimates and issued strong guidance. So, George Sllis is with us, senior markets correspondent to help us unpack this report here. So, this is a little bright spot in what is otherwise a pretty down day for tech, particularly in the chip business, which it is exposed to.Talk us through it. Well, y ...

Although former Berkshire Hathaway (NYSE:BRK-B) CEO Warren Buffett retired as the company's chief executive, his legacy looms large. ...

Apple (NASDAQ: AAPL) has had plenty of doubters, especially over the past few years. Some feared that President Donald Trump's tariffs would significantly harm the business, since the tech giant does most of its manufacturing abroad, especially in China. Others continue to worry that Apple's legal troubles will catch up to it. And still others think that since the iPhone no longer generates the excitement it once did, it can't drive strong sales growth anymore. However, Apple is proving that one of those ...

美股持续下挫，纳指跌超2%，标普跌超1%。英伟达跌超4%，谷歌跌超2%，苹果涨超1%，亚马逊跌超 2%，特斯拉跌超4%，博通跌超7%。 来源：滚动播报 ...

Apple Inc. is trading in the opposite direction of technology stocks and the broader market as investors increasingly view it as an oasis of safety amid fears of artificial intelligence disruption. The iPhone maker’s shares were up 1.8% at around 12:30 p.m. in New York on Wednesday, compared with a 2.4% decline in the tech-heavy Nasdaq 100 Index. That means Apple is outperforming by its widest degree since early 2025. The move extends a recent trend, with Apple up nearly 6% to start this month, while the ...

Market Overview - The U.S. stock market is experiencing mixed trading patterns with a notable rotation out of technology giants and into broader market sectors [1] - The S&P 500 has slipped around 0.2% to 0.3%, marking a modest decline for the fourth time in the last five days [2] - The Nasdaq Composite has traded approximately 1% lower, with the Nasdaq 100 specifically seeing a 1.4% loss [2] - The Dow Jones Industrial Average has risen by as much as 389 points, or 0.8%, indicating a shift away from tech stocks towards firms expected to benefit from improving growth prospects [2] Economic Indicators - The yield on 10-year Treasuries has remained steady at 4.28% [3] - Upcoming economic data includes the ADP Employment Change and ISM Services PMI for January, which are crucial for assessing the labor market and services sector [5] - The week will culminate with the U.S. Employment Report on February 6th, which includes non-farm payrolls and average hourly earnings [6] Company-Specific Highlights - Advanced Micro Devices (AMD) shares dropped by as much as 15.7% despite stronger-than-expected profits, indicating high expectations for AI-related companies [9] - Uber Technologies (UBER) fell 3% to 5% after its quarterly results and profit forecast fell short of expectations [10] - Super Micro Computer (SMCI) rallied by 12% to 14% after delivering stronger-than-expected profits [10] - Eli Lilly (LLY) surged by 9.2% after exceeding profit expectations and providing strong guidance, driven by its obesity drugs [11] - Silicon Laboratories (SLAB) shares soared by 51% following the announcement of its acquisition by Texas Instruments for approximately $7.5 billion [13] - Nvidia (NVDA) shares declined 2.8% due to a broad tech sell-off and uncertainty surrounding its OpenAI investment [14]

Warren Buffett, who ended his legendary run as the CEO of Berkshire Hathaway at the end of last year, looked to buy and hold businesses that have economic moats. This term helps to explain durable competitive advantages that a company has that allow it to succeed over time. His philosophy worked extremely well. The tech sector is full of businesses that fit the criteria. After avoiding making bets in this sector, Buffett finally expanded his focus and bought Apple in early 2016. Berkshire also added Amazon ...

Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Past performance is not an indicator of future performance. This post is illustrative and educational ...

Group 1 - Nvidia is nearing a $20 billion investment agreement to participate in OpenAI's latest funding round, marking Nvidia's largest single investment to date, with CEO Jensen Huang stating "this is a very good investment" [1] - OpenAI's current funding round aims for a total of $100 billion, with Amazon planning to invest up to $50 billion and SoftBank considering a $30 billion investment, leading to an estimated valuation of approximately $830 billion [1] - This investment signifies a deeper integration between AI infrastructure and leading model developers, with capital increasingly concentrating among a few super players [1] Group 2 - Tencent has officially open-sourced its high-performance LLM inference core operator library, HPC-Ops, built from scratch using CUDA and CuTe, achieving a 30% improvement in inference QPM for the Mix Yuan model and a 17% improvement for the DeepSeek model [2] - In terms of single-operator performance, Attention shows up to a 2.22x improvement over FlashInfer/FlashAttention, while GroupGEMM outperforms DeepGEMM by up to 1.88x, and FusedMoE exceeds TensorRT-LLM by up to 1.49x [2] - The operator library is optimized for mainstream inference graphics cards in China, addressing high usage costs and hardware compatibility issues with existing mainstream operator libraries [2] Group 3 - Alibaba has open-sourced the Qwen3-Coder-Next model, featuring 80 billion parameters with only 3 billion active parameters, achieving over 70% problem-solving rate on the SWE-Bench Verified, comparable to models with 10-20 times more active parameters [3] - The model excels in long-sequence reasoning, complex tool usage, and recovery from execution failures, supporting a context of 256k and seamless integration with various IDE platforms like Cline and Claude Code [3] - A paper co-authored by Zhou Jingren and Lin Junyang has been published alongside the SWE-Universe framework, expanding the real-world multilingual SWE environment to nearly one million levels [3] Group 4 - The website rentahuman.ai has launched, allowing AI to hire humans for tasks such as delivery, event check-in, and on-site inspections through the MCP protocol or REST API [4] - Within 48 hours of launch, the platform had over 20,000 available human workers, allowing individuals to set their own hourly rates without the need for small talk, with tasks including photography, restaurant tasting, and package collection [4] - The site has sparked discussions on responsibility attribution, task authenticity verification, and the ethics of AI hiring humans, also seen as a demonstration of the MCP protocol's value [4] Group 5 - Mianbi Intelligence has open-sourced the MiniCPM-o 4.5 model, which features only 9 billion parameters and achieves full-duplex dialogue capabilities, becoming the first large model for "instant free conversation" [5] - The model employs an end-to-end multimodal architecture, utilizing time-division multiplexing and active interaction mechanisms to automatically decide whether to speak at a frequency of 1Hz, ensuring continuous perception and dynamic dialogue [5] Group 6 - Kunlun Tiangong has released the Skywork desktop version, which executes tasks locally without uploading to the cloud, capable of reading vast local files for summarization and new product generation while supporting parallel multitasking [6] - It supports switching between Claude Opus 4.5, Sonnet 4.5, and Gemini 3 Pro models, with over 100 selected skills built-in, covering Office suite, web pages, and image and video generation [6] - The application prioritizes Windows systems, offering higher quality image and video generation, with all operations conducted in a local virtual machine environment to ensure data security [6] Group 7 - Apple has released Xcode version 26.3, officially introducing "intelligent agent programming" support, allowing developers to directly call AI agents like Anthropic's Claude and OpenAI's Codex [7] - The integrated AI agents can browse and search the entire project structure, read, write, edit, and delete files, and automatically reference Apple's official documentation to resolve issues [7] - User feedback has been mixed, with some praising the experience while others report issues such as freezing, poor diff mechanisms, and instability in cross-file refactoring [7] Group 8 - The open-source music generation model ACE-Step 1.5 has gained support on ComfyUI, utilizing a hybrid LM+DiT architecture to generate a complete 4-minute song in approximately 1 second on an RTX 5090 [8] - The model supports over 50 language instructions and can run with less than 4GB of VRAM, achieving a music coherence score of 4.72, surpassing most commercial models [8] - It allows for LoRA fine-tuning for style personalization and will soon support music reconstruction and segment repair features, all running locally to ensure data security [8] Group 9 - Google has launched PaperBanana, establishing a multi-agent collaborative framework for generating paper illustrations, aimed at freeing researchers from time-consuming illustration tasks [9] - The system includes roles such as retriever, planner, modeler, visualization expert, and critic, achieving improvements in simplicity, readability, and overall aesthetic quality [9] - However, there are limitations in handling complex architectures, such as text distortion or connection errors, with plans to introduce code diffusion models for drawing and human-machine collaboration interfaces in the future [9]

Market Overview - On February 4, US stock indices opened mixed, with the Nasdaq down 0.87%, the Dow Jones up 0.21%, and the S&P 500 down 0.29% [1] - Most tech stocks declined, with AMD dropping over 13% due to Q1 guidance falling short of some analysts' expectations [1][2] - Other notable declines included Meta down 1.86%, Nvidia down 0.9%, Amazon down 0.62%, and Microsoft down 0.29% [1] Company Performance - AMD's stock price was reported at $209.22, reflecting a decrease of 13.58% [2] - Meta Platforms' stock price was $678.826, down 1.86% [2] - Nvidia's stock price was $178.710, down 0.90% [2] - Amazon's stock price was $237.150, down 0.62% [2] - Microsoft’s stock price was $410.030, down 0.29% [2] - Tesla's stock price was $421.385, down 0.14% [2] - Intel's stock price was $49.345, up 0.19% [2] - Qualcomm's stock price was $150.990, up 2.59% [2] - Apple's stock price increased by 2.98% [1] Chinese Stocks - The Nasdaq Golden Dragon China Index fell over 2%, closing at 7457.16 points [3] - Major Chinese stocks experienced declines, with Kingsoft Cloud down 7.39%, NetEase down 6.93%, and Bilibili down 6.12% [3][4] - Baidu and Futu Holdings both dropped over 4.7%, while Tencent Music fell over 4.2% [3] Commodity Market - On February 4, spot gold rose by 0.93% to $4987.59, while spot silver increased by over 4.1%, reaching $89.57 per ounce [5][6] - Brent crude oil rose by 0.07% to $67.38 per barrel, while WTI crude oil fell to $63.19 per barrel, down 0.03% [6] Employment Data - In January, the US ADP employment numbers increased by 22,000, below the forecast of 45,000 and the previous value of 41,000 [8]