Oracle (NYSE: ORCL) stock was falling faster than temperatures across the country this winter. The company's prominent partnership with OpenAI is the main source of stress for many investors. Oracle stock is down nearly 19% to start 2026 as of Feb. 9. Much of the stock's troubles lately stem from perceived overexposure to OpenAI and Oracle's need to raise additional debt. The question for investors is two-fold. First, is the OpenAI worry overblown? There was speculation that OpenAI wouldn't be able to mee ...

Anthropic and OpenAI are probably looking at OpenClaw very closely and trying to learn from it right now because their own products haven't got the type of viral adoption that OpenClaw got for, you know, non-technical types of tasks like this. And so they're probably looking very closely and being like, how can we copy this. >> Yeah.What do you make of the fact that the one that has really taken off in this space was a sort of pet project made by one guy as opposed to these massive otherwise very successful ...

Core Insights - NVIDIA Corporation is recognized as a leading machine learning stock, particularly due to its pivotal role in the AI ecosystem alongside OpenAI [1] - Recent reports indicate that NVIDIA is nearing a $20 billion investment in OpenAI, which could significantly impact the industry [2] - OpenAI is seeking $100 billion in new funding, with discussions already in place with Amazon and SoftBank for substantial investments [3] Group 1: Investment Developments - NVIDIA's potential $20 billion investment in OpenAI is nearing completion, as reported by Bloomberg [2] - Previous discussions indicated a possible $100 billion investment from NVIDIA, but CEO Jensen Huang clarified that this was never a firm commitment and emphasized a step-by-step investment approach [3] Group 2: Company Overview - NVIDIA is a fabless semiconductor and AI computing company that specializes in designing GPUs, AI accelerators, APIs, and system-on-a-chip units [4] - The company's CUDA ecosystem supports various industries, enhancing AI, accelerated computing, and data center infrastructure [4] Group 3: Market Position - NVIDIA has established itself as a central player in machine learning, with its GPUs being the standard for training and running AI models [5] - While NVIDIA is a strong investment option, there are other AI stocks that may present greater upside potential with less risk [5]

Group 1 - Snowflake Inc. has signed a $200 million partnership deal with OpenAI to integrate OpenAI's models into Snowflake's Cortex AI offerings, which analysts view positively [1][2] - RBC Capital rates Snowflake as Outperform with a price target of $300, highlighting the potential for joint enterprise customers to deploy context-aware AI applications on Snowflake's platform [1][2] - Raymond James also reaffirmed an Outperform rating on Snowflake, emphasizing the necessity of such partnerships for organizations providing large language models to expand in the enterprise space [3] Group 2 - Snowflake's platform, the Snowflake Data Cloud, supports various workloads including data engineering, analytics, machine learning, and secure collaboration, positioning it as a central data layer for enterprise AI adoption [4][2] - The company reported $100 million in AI-related annual recurring revenue, indicating a strong foothold in the AI market [2]

本文来自微信公众号： 不懂经 ，作者：不懂经也叔的Rust 《主权个人》：未来会活得很爽的有三种人，一是技术精英，二是各行业头部，三是有资本及良好判断 力的人。本号专注后面两种。 2026年2月11日，科技界正在发生一些奇怪的事。 Brian Norgard，硅谷连续创业者，发了一条推文："我认识的几乎所有在科技行业工作的聪明人，都 感到极度焦虑。仿佛一切都即将彻底崩塌。" 以下文章来源于不懂经 ，作者不懂经也叔的Rust 同一天，另一个叫@barkmeta的科技博主写道："我不知道为什么2026年会成为一个转折点，但我认 识的几乎所有真正关注时事的人，都正在经历某种程度的生存危机。" 也是同一天，xAI（马斯克的AI公司）的联合创始人Jimmy Ba宣布离职。他在告别帖里写了一段 话，不像是在告别，更像是在发出某种信号： 不懂经 . "我们正迈向一个拥有合适工具就能实现百倍生产力的时代。递归式自我提升循环很可能在未来12个 月内上线。2026年将会是疯狂的一年，很可能是我们物种未来最忙碌、也最具决定性的一年。" 在人类历史上，可能从来没有过这样一个时刻：一群世界上最聪明的大脑正处于极度的生存焦虑之 中，而圈 ...

Group 1 - Forbes has launched a year-long celebration project for the 250th anniversary of the founding of the United States, titled "Forbes 250: The American Dream Celebration," which includes the release of the "Forbes Innovator 250" list recognizing 250 of the greatest living American innovators [1][3] - The Innovator 250 list highlights leaders, founders, and entrepreneurs who have not only invented but also successfully transformed or created new industries [1][3] - Sam Altman, CEO of OpenAI, is ranked 6th on the list, with ChatGPT being described as a "innovation machine" valued at $500 billion [1][3] Group 2 - Altman has indicated that OpenAI is developing an "AI research intern" to help accelerate research ideas, along with plans to launch consumer devices with "high situational awareness and proactive assistance capabilities" [1][3] - Several global CEOs, including Bob Iger (Disney), Masayoshi Son (SoftBank), Brian Chesky (Airbnb), and Satya Nadella (Microsoft), have praised Altman's innovative drive [2][4]

0:00 南方财经 21世纪经济报道记者吴斌 上海报道 如今市场正在变得更加挑剔。卢伯乐分析称，芯片制造商蓬勃发展，与谷歌相关的人工智能股票表现良 好，而与OpenAI相关的股票则略有挣扎，现在市场似乎在试图挑选赢家和输家。这意味着，一篮子人 工智能股票的表现将不如以前好，我们将看到更少的收益。投资者的关注点正在从"增长多少"转向"如 何实现增长"。例如，像甲骨文这样大量发债的公司就受到了市场的"惩罚"。 竞争仍在继续。卢伯乐认为，未来最重要的事情不仅是创造最好的语言模型，还要能够将人工智能的各 个方面整合到商业中，这几乎可以影响到任何行业——制药、法律、教育，潜力巨大。因此，重点将更 多地放在应用上，而不只是支持人工智能的语言模型。 2026年伊始，美股板块轮动趋势明显，科技股表现出现分化。 瑞士百达资产管理首席策略师卢伯乐（Luca Paolini）近日在接受21世纪经济报道记者采访时表示，在 去年10月之前，几乎所有与人工智能相关的科技股都在上涨，虽然速度不一样，但方向都是一样的。曾 经有一段时间，人工智能交易推动着一切，投资者会购买任何与人工智能相关的企业，而不管它们在做 什么。 ...

Core Insights - The article highlights the significant advancements in China's AI models, particularly the DeepSeek-R1, which has achieved performance comparable to top US models at a much lower cost and computational power, marking a pivotal moment in the AI industry referred to as the "DeepSeek moment" [1][6] - Chinese tech companies continue to innovate and release powerful new AI models, maintaining momentum in the industry despite global challenges [6][10] Group 1: AI Model Developments - ByteDance has launched the Seedance 2.0 video generation model, capable of understanding complex natural language instructions and producing high-quality video content, representing a significant leap from earlier AI video tools [3][9] - The Seedance 2.0's groundbreaking feature is its ability to generate coherent multi-scene narratives from a single instruction, maintaining consistency in characters, lighting, style, and atmosphere, achieving near "zero post-production" results [3][9] - Other companies, such as Zhiyuan and Alibaba, are also making strides with new models like GLM-5 and the upcoming Qwen 3.5, respectively, indicating a competitive landscape in AI development [4][10] Group 2: Market Perception and Trends - Analysts note that the reasoning capabilities of Chinese AI models are on par with their US counterparts, but at significantly lower deployment costs, drawing global attention [6][10] - The success of DeepSeek has shifted perceptions regarding the necessity of massive investments in computational infrastructure for developing advanced AI, challenging the notion that only companies spending billions can create cutting-edge AI [5][10] - The trend towards open-source AI models, exemplified by DeepSeek, is lowering barriers for developers and businesses to access advanced AI technologies, making "open-source and low-cost" the new norm in the industry [5][10]

Core Insights - OpenAI has been perceived as lagging behind competitors in the AI space, particularly with the rise of Alphabet's Gemini and Anthropic's Claude models [2][5] - Despite recent pressures, there is optimism among investors that OpenAI's status as a secondary player is temporary, with potential for recovery in stock performance [4][5] Performance Metrics - Stocks connected to OpenAI have decreased by 13% this year, while Alphabet-related stocks have increased by 22% [3] - On a recent trading day, the OpenAI stock basket rose by 0.2%, whereas the Alphabet basket increased by 1.2% [4] Future Catalysts - OpenAI's upcoming funding round, aiming to raise up to $100 billion, will be a significant indicator of investor confidence in the company's future [6] - Nvidia is reportedly nearing a $20 billion investment deal, with Microsoft and Amazon also in discussions to invest [6] Revenue Trends - Recent reports indicate that revenue trends for ChatGPT are improving, which could positively influence investor sentiment [5] - OpenAI has launched a new version of its Codex AI coding agent, which has received positive feedback from CEO Sam Altman [5]

Core Insights - The focus of the U.S. tech capital market has shifted towards debt financing to support the rapid expansion of AI infrastructure, with global tech and AI-related bond issuance expected to approach $1 trillion by 2025, up from $710 billion [1][2] - Major tech companies, including Alphabet, Amazon, Meta, and Microsoft, are projected to have a combined capital expenditure and financing lease of $700 billion this year to meet unprecedented demand for computing resources [1] - There is an estimated $1.5 trillion financing gap in the AI infrastructure sector, primarily to be filled by the debt market, leading to increased concentration risk in investment-grade corporate bond indices [1][4] Debt Market Expansion - UBS estimates that global tech and AI-related debt issuance will more than double by 2025, reaching $710 billion, and could approach $990 billion by 2026 [2] - Oracle and Alphabet are leading the current wave of bond issuance, with Oracle planning to raise $45 billion to $50 billion this year and successfully issuing $25 billion in bonds [2] IPO Market Status - The U.S. tech IPO market remains quiet, with no major tech companies filing for public offerings this year, contrasting sharply with the surge in debt financing [3] - Elon Musk's recent merger of SpaceX and xAI has created a new entity valued at $1.25 trillion, but there are doubts about whether SpaceX will pursue an independent IPO [3] Concentration and Cost Concerns - The weight of the tech sector in investment-grade corporate bond indices is expected to rise from 9% to the low double digits, raising concerns about concentration risk [4][5] - The intense bond issuance by tech giants may crowd out demand for other issuers, leading to higher yields and increased financing costs across the market [5][6]