Core Viewpoint - A legal dispute is escalating between OpenAI and Elon Musk's xAI, focusing on the use of "ephemeral" messaging apps to potentially hide sensitive information relevant to an antitrust case [2][4]. Group 1: Legal Allegations - OpenAI has filed a motion in the Northern District of California, alleging that Musk and xAI engaged in the systematic destruction of evidence by using disappearing messaging apps like Signal [2][4]. - The lawsuit claims that xAI executives were instructed to communicate exclusively via Signal, with messages set to auto-delete within one week or less, which OpenAI argues undermines the integrity of the legal process [5][6]. - OpenAI is requesting that the judge consider the deletion of these messages as "spoliation" of evidence, which could lead to an adverse inference against Musk's case [6]. Group 2: Background on Musk's Practices - Musk has been described as a "serial litigant," with a history of courts criticizing him for failing to maintain evidence in previous legal matters [6]. - A Delaware court previously noted that Musk's custodians allowed for the automatic deletion of messages during the acquisition of Twitter, highlighting a pattern of behavior regarding evidence preservation [7].

RT Gwart (@GwartyGwart)People keep saying it’s a shame that retail hasn’t had access to Anthropic, OpenAI, Stripe, SpaceX, and others and haven’t been able to share in the upside of these companies so far. Why does retail feel entitled to be on these cap tables? It seems that people conflate the idea that accredited investors laws are broken and that it’s costly and burdensome to go public with thinking that they deserve the right to share in upside of these companies. It’s not like we created that value, I ...

For the back half of the 20th century (what Fortune founder Henry Luce called “The American Century”), MBA and law degree programs were a ticket to a great office job and a path to the American Dream. The 21st century is asking the question: What happens when all those office jobs get automated? In a recent conversation with the Financial Times, the CEO of Microsoft AI, Mustafa Suleyman, delivered another in a series of predictions from AI leaders that white-collar work is on the precipice of a radical tr ...

AI now unveiling its first model to run entirely on chips from the startup Cabus. It's a sign a company's diversifying beyond Nvidia GPUs. Our Dur Debosa has more on that in today's tech check.Morning D. >> Hey, good morning Carl. So never mind that OpenAI is one of Nvidia's largest customers.This is also part of a larger trend. Google shipped Gemini 3 in December trained and served on its own custom AI chips TPUs. Then you got Chinese AI lab GPU releasing GLM trained on Huawei chips and we know that others ...

AI now unveiling its first model to run entirely on chips from the startup Cabus. It's a sign a company's diversifying beyond Nvidia GPUs. Our Dur Debosa has more on that in today's tech check.Morning D. >> Hey, good morning Carl. So never mind that OpenAI is one of Nvidia's largest customers.This is also part of a larger trend. Google shipped Gemini 3 in December trained and served on its own custom AI chips TPUs. Then you got Chinese AI lab GPU releasing GLM trained on Huawei chips and we know that others ...

Core Viewpoint - The stock market is reacting negatively to software firms perceived as losers in the AI boom, with credit markets expected to face similar disruptions soon [1][2] Group 1: AI Disruption Impact - Tens of billions in corporate loans are projected to default over the next year, particularly affecting software and data services firms owned by private equity due to AI threats [1] - UBS analysts have updated their forecasts rapidly in response to accelerated AI disruption expectations from new models by Anthropic and OpenAI [2] - The market has been slow to react to the speed of AI disruption, necessitating a recalibration in credit evaluation methods [3] Group 2: Default Projections - UBS analysts estimate that borrowers of leveraged loans and private credit could see $75 billion to $120 billion in new defaults by the end of this year [4] - Default rates for leveraged loans and private credit are expected to increase by up to 2.5% and 4% respectively by late 2026, with these markets valued at $1.5 trillion and $2 trillion [4]

Anthropic raises $30B in Series G funding, doubling valuation to $380B Proactive uses images sourced from Shutterstock Anthropic, the AI startup behind the Claude platform, has closed a $30 billion Series G funding round, marking the second-largest private tech fundraising in history after rival OpenAI. The investment more than doubled the company’s valuation to $380 billion and comes as adoption of its AI tools continues to surge. The round was led by Singapore’s GIC and Coatue and co-led by D. E. Sha ...

Core Insights - The current market sentiment regarding software, particularly in the context of AI, is seen as overly negative, presenting a potential buying opportunity for quality software companies [1][3][7] - Companies that effectively integrate AI into their operations are expected to perform well, with a focus on high renewal rates and customer satisfaction as key indicators of success [2][21][22] Group 1: Market Sentiment and Opportunities - The public markets are reacting quickly to sentiment shifts, with opportunities arising from companies that have been unfairly categorized as similar [2][8] - The investment thesis emphasizes the quality of revenue, which includes high renewal rates and customer loyalty, as a critical factor for identifying attractive investment opportunities [3][21] - The narrative surrounding AI and software is viewed as intertwined, with AI being an integral part of software development rather than a separate entity [24][25] Group 2: Characteristics of Successful Companies - Companies that excel in AI typically possess deep domain knowledge, complex integrations, and high stakes in decision-making processes, making them resilient in the face of market changes [4][12][31] - The focus on mission-critical systems, such as payroll and aviation software, highlights the importance of accuracy and regulatory compliance, which are essential for maintaining customer trust [5][6][18] - The ability to innovate and adapt to new technologies is crucial, with companies expected to develop new applications and services to meet evolving market demands [17][32][37] Group 3: Performance and Growth - The median bookings growth rate for portfolio companies was reported at 22%, indicating strong performance and an acceleration in AI-related sales [26][39] - Companies are pivoting towards value-based pricing models, which may enhance profitability despite concerns about traditional pricing structures [27][28] - The sentiment among CEOs of portfolio companies remains positive, with a focus on leveraging current market conditions to pursue growth and acquisitions [38][39]

知道你一切隐私的AI公司，现在着急挣钱了。在监管缺失的情况下，他们会不会利用你的隐私作恶， 完全取决于企业道德。你会感到担心吗？ OpenAI居然要开始打广告了？很多人首先想到了联合创始人CEO萨姆·奥特曼(Sam Altman)曾经的话。 2024年5月，奥特曼还在一个公开活动上明确表示："广告加上AI让我感到特别不安。我认为广告对我们 来说是一种最后手段的商业模式。"他甚至坦言："我个人讨厌广告。" 但对企业家来说，打脸并不是什么大事。奥特曼态度之所以发生180度转变，背后是OpenAI日益严峻的 财务压力现实，逼着他不得不转向广告这个"最后手段"。 卖广告是着急创收 广告就差点名骂了 今年的超级碗总决赛，成为了AI巨头们豪掷千金的广告盛宴。其中印象最深的，莫过于Anthropic推出 的系列讽刺广告，虽然并没有指名道姓，但却暴击老对手OpenAI的软肋要害，招招精准狠毒。 为了精准打击OpenAI，Anthropic不惜投入了超过2500万美元，在广告价格最为昂贵的超级碗购买了1分 钟和30秒广告。在超级碗第一节就开始炮轰OpenAI，只为给观众留下最深印象。除了超级碗电视广 告，Anthropic还投 ...

Core Viewpoint - NVIDIA Corporation (NASDAQ:NVDA) is identified as a top high growth, high margin stock, with Goldman Sachs revising its Buy rating and setting a price target of $250, anticipating a strong quarter driven by favorable supply/demand trends in the industry [1] Group 1: Stock Performance and Projections - Near-term stock price growth for NVIDIA is expected to hinge on insights into 2027 revenue, as the potential for 2026 has already been factored into the stock price [2] - Goldman Sachs has identified several catalysts that could lead to higher earnings in the first half of 2026, including sustained positive adjustments to hyperscaler capital expenditure through 2027 and increasing demand from unconventional clients such as AI companies OpenAI and Anthropic [2] Group 2: Technological Advancements - NVIDIA's technological edge may be further enhanced by the successful outcomes of new large language models developed on the company's Blackwell architecture [3] - The company designs and sells specialized processors that are essential not only for gaming but also for AI, data centers, professional visualization, and the automotive sector [3]