ChatGPT told them they were special — their families say it led to tragedy https://t.co/ohfPhjdrOo ...

On May 16th, 2025. I woke up and was ready to get into my graduation gown for the day of celebration of Villanova's graduation ceremony. My family and friends came from pretty much across the country to see me walk across the stage and receive my diploma.Michael. Sean. Mathias.Yeah Michael. I was really on top of the world. Super excited to finally have the diploma that shows my hard work over those four years. I was super excited to apply those skills to the job market, to an employer, and finally be an in ...

Core Insights - The AI sector is experiencing rapid growth, but many AI stocks are considered undervalued, particularly Meta Platforms [1][2] - Meta Platforms is highlighted as the most undervalued AI stock, despite its strong performance and growth potential [2][9] Company Overview - Meta Platforms operates several major social media applications, including Facebook, WhatsApp, Instagram, and Messenger, collectively serving approximately 3.45 billion users daily, which represents nearly half of the global population [3][4] - The company's business model primarily relies on monetizing its user base through advertisements, leveraging AI to enhance targeting and user engagement [5][7] Financial Performance - In Q3, Meta reported a 14% year-over-year increase in ad impressions and a 10% rise in the average price per ad, contributing to a total revenue increase of 26% compared to the previous year [8] - The company has a market capitalization of $1,498 billion, with a gross margin of 82% and a dividend yield of 0.35% [6][7] Future Outlook - Management has raised its AI spending outlook for 2025 and anticipates further increases in 2026, with CEO Mark Zuckerberg predicting a "paradigm shift" in the next five to seven years [9] - Despite recent market fluctuations and concerns about an AI bubble, Meta's robust user base and advertising model position it well for long-term success [11]

Group 1: Technology Sector Performance - The technology sector has seen significant growth in 2025, with the Nasdaq increasing by approximately 18% year-to-date, driven by substantial investments in AI [1] Group 2: Future Outlook for AI and Tech Stocks - Experts express concerns about the sustainability of the AI surge, predicting potential challenges for tech stocks in 2026 [2][3] - Chad Cummings forecasts that the AI bubble may burst in 2026, citing unsustainable growth assumptions in AI infrastructure and service firms [4] - Cummings highlights that many companies are heavily investing without stable revenue, leading to expected consolidation at lower prices in 2026 [4] Group 3: AI Sector Dynamics - Cummings describes GPT 5 as a failure, indicating a critical issue within the AI sector, which he believes is inflating beyond its fundamentals [5] - Edward Corona offers a more optimistic view, suggesting that 2026 will focus on distinguishing genuine players from less credible ones in the AI space [6] - Corona identifies companies that produce essential tools, such as chips and cybersecurity, as likely to continue growing, recommending stocks like AMD, Nvidia, and Palo Alto Networks [6] Group 4: Broader Economic Implications - The growth of AI has positively impacted other sectors, including commercial real estate and energy, but a slowdown in AI could adversely affect these related industries [7] - Cummings warns of a potential collapse in commercial real estate linked to tech, exacerbated by rising interest rates affecting refinancing [8]

Plus, two sisters face AI career surprise, the return of Bezos the founder and AMD CEO Lisa Su’s turnaround, in this edition of the Technology newsletter https://t.co/qms8DKE47w ...

Atomic energy is back, thanks to the ravenous demands of AI, favoritism from Trump, and the zeal of young entrepreneurs raising billions to build mini-reactors. The upside is unlimited.Read the full story: https://t.co/YMS3XDMCdq📸: Trevor Paulhus for Forbes https://t.co/OTe13A2N5W ...

Core Insights - A federal judge ruled in favor of Meta Platforms, Inc. against the FTC's antitrust charges, which claimed that Meta holds a monopoly in social networking [1] - The ruling is viewed positively for major tech companies like Amazon, which are also facing FTC scrutiny [2] - Meta's spokesperson emphasized the company's contributions to innovation and economic growth, indicating a commitment to continue investing in America [2] Company Overview - Meta Platforms, Inc. is a California-based company founded in 2004, focusing on products that enable sharing and connection across devices [3] - The company operates through two segments: Family of Apps and Reality Labs [3] Analyst Ratings and Price Targets - Cantor Fitzgerald reduced its price target for Meta from $830 to $720 while maintaining an 'Overweight' rating [2] - Freedom Capital upgraded Meta's stock from 'Hold' to 'Buy' with a price target of $800 [2]

Core Insights - KKR & Co. Inc. (NYSE:KKR) is under close observation by Wall Street analysts, with TD Cowen reaffirming a 'Buy' rating but lowering the price target to $146 from $153, indicating a nearly 21% upside despite near-term macroeconomic challenges [1][4] - The company is optimistic about its insurance business, projecting a return on equity (ROE) of 15% by 2028 and free cash flow (FRE) per share of at least $4.50 [2] - KKR's third-quarter results were described as a "clearing event," with management increasing its realization projection to $1 billion from $800 million, alongside record management fees and fee-related earnings [3] Financial Performance - KKR's stock has underperformed year-to-date, down over 20%, yet analysts maintain a strong Buy opinion with a consensus 1-year median price target suggesting a potential upside of 30% [4] - The company has achieved record-breaking management fees and adjusted net income over the past 12 months, indicating strong operational performance [3] Business Overview - KKR & Co. Inc. is a New York-based private equity and real estate investment firm, founded in 1976, focusing on direct and fund-of-fund investments aimed at generating strong investment returns [4]

Core Insights - The potential for AI is massive, with companies across industries identifying ways to utilize AI for increased efficiency and cost savings [2][3] - Significant investment is flowing into AI, with capital expenditures, venture capital for startups, and reallocating savings into publicly traded companies advancing AI technology [3] - Historical parallels are drawn to past technological breakthroughs, indicating that while many investments in AI will be lucrative, others may fail [3][4] Investment Landscape - The current investment environment in AI is characterized by substantial amounts of capital, reminiscent of past technological booms [3] - The excitement surrounding AI may lead to an overshoot in investment, similar to the dot-com bubble and the automobile boom of the early 1900s [1][4] - Historical examples, such as the automobile industry, illustrate that many companies entered the market during periods of optimism, but only a few survived long-term [4][8] Market Dynamics - The tech sector's growth as a share of the stock market is often compared to the dot-com bubble, but it does not match the historical dominance of railroads in the early 20th century [5] - Railroads once accounted for 63% of the US stock market value, highlighting the potential for significant market shifts during periods of technological advancement [5][7] - Overinvestment in industries like railroads and automobiles has historically led to financial crises, but these sectors ultimately delivered on their promises of efficiency [8]

RT Elon Musk (@elonmusk)Most people don’t know that Tesla has had an advanced AI chip and board engineering team for many years.That team has already designed and deployed several million AI chips in our cars and data centers. These chips are what enable Tesla to be the leader in real-world AI.The current version in cars is AI4, we are close to taping out AI5 and are starting work on AI6. Our goal is to bring a new AI chip design to volume production every 12 months. We expect to build chips at higher volum ...