Delphi-2M’s creators reasoned that an AI tool fed on large amounts of human-health data could have similar predictive power for diseases as large language models do for text https://t.co/smz3xJZ2bG ...

This stock has soared tremendously. How much longer will the rally last?Most investors would love to find a growth stock that just keeps booming, no matter what. And with shares up by almost 400% during the last 12 months, Palantir Technologies (PLTR 5.11%) certainly seems to fit the bill. To be sure, when something looks too good to be true, it probably is. Let's discuss three reasons the stock could plunge in September or beyond. Is enterprise AI overhyped?It's been almost three years since OpenAI's ChatG ...

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Iron Mountain Conference Call Summary Company Overview - **Company**: Iron Mountain (NYSE: IRM) - **Date of Conference**: September 16, 2025 Key Industry Insights Records and Information Management (RIM) - RIM constitutes over 70% of Iron Mountain's business, maintaining strong pricing and volume growth despite being a slower-growing segment [4][5] - The company has achieved mid to upper single-digit revenue management or pricing action in RIM, with volume growth between 20 to 100 basis points per quarter [6] Growth Portfolio - The growth portfolio, including Asset Lifecycle Management, Data Centers, and Digital Solutions, has driven approximately 6% consolidated growth in top-line and bottom-line [5] - The growth portfolio is collectively growing in excess of 20% and is expected to continue [9] Data Centers - Iron Mountain has secured significant power capacity for future data center expansions, with plans to bring online 450 megawatts over the next 12 to 36 months [14] - The data center business is projected to approach $800 million in revenue for 2025, with expectations to exceed $1 billion in 2026 [19] - The company has seen a shift in customer focus back to their core data center offerings, moving away from large language model campuses [12][15] Asset Lifecycle Management (ALM) - ALM is primarily project-based, with significant growth potential as data center decommissioning increases due to the lifecycle of equipment [20] - There is a strong cross-sell opportunity between the core enterprise storage business and ALM, with only single-digit percentage crossover currently [21] Financial Performance Margins and Growth - The global RIM business has high incremental margins of 70% to 80%, while the Data Centers business has recently achieved EBITDA margins of over 50% [8] - Renewal spreads in the Data Centers business have been favorable, with increases of 10% to 20% [26] Capital Expenditure and Funding Strategy - Iron Mountain's capital-light core business generates substantial cash flow, allowing for funding of growth initiatives without excessive leverage [29] - The company has utilized sale-leasebacks and asset-level financing to support capital needs [29] Government Contracts - Iron Mountain has secured a five-year contract with the U.S. Department of Treasury for digitization of tax returns, valued at approximately $140 million [31][32] - The contract is expected to ramp up in volume, particularly during tax season, although no guidance has been provided for this year [33] Additional Considerations - The company emphasizes the importance of securing power for data centers, noting that it has become a significant constraint in recent years [28] - The decision cycle for data center leases remains stable, although there is a trend away from long-term commitments [16][18] This summary encapsulates the key points discussed during the Iron Mountain conference call, highlighting the company's strategic focus, financial performance, and growth opportunities within the industry.

Are large language models hotbeds of left-wing wokeism? @HenryTricks unpacks the evidence on “The Intelligence” https://t.co/y8IaLVRY6T https://t.co/3HTOmqEFa1 ...

We have to be realistic about what large language models are. They're word models. So they're very good with words.It kind of feels like you're dealing with human intelligence, but humans are so much more than just their words. Look, large language models, it's very much like a search, you know, that is you have these relatively finite set of algorithms speaking to what is a relatively finite set of data and you're getting kind of a super search or an advanced search on that data. And then you can do things ...

Market Trends - Corporate demand for small language models is projected to grow twice as fast as it is for large models [1] - The growth of small language models is starting from a much lower base [1]

Shareholder Proposal & Board Stance - A shareholder proposal suggests Tesla invest in XAI, but it's non-binding [1] - The board values shareholder input on the XAI investment proposal and hasn't made a recommendation, seeking shareholder views [2] - The board would consider pursuing the XAI investment independently, even if investors reject the proposal [1] AI Technology Differentiation - There's a misunderstanding of AI, which encompasses a range of technologies [3] - Tesla's AI applications differ significantly from XAI's focus [3] - XAI focuses on fundamental AI areas and large language models [4] - Tesla applies AI to real-world physical products like Optimus, focusing on visual data and real-world applications [4][5] - Tesla uses visual data to drive cars within FSD, which is different from XAI's approach [5]

Core Insights - Elon Musk envisions Tesla evolving beyond electric vehicles into a broader technology platform focused on artificial intelligence [1][3] - Tesla's humanoid robotics project, Optimus, is seen as a significant opportunity that could potentially account for 80% of Tesla's value in the future [3][12] Group 1: Tesla's Strategic Vision - Tesla is pushing towards fully autonomous driving while also developing humanoid robotics, which could have greater implications than robotaxis [2][4] - The development of humanoid robots represents a frontier in achieving generalized intelligence, allowing for active engagement with the physical world [5] Group 2: Competitive Landscape - Tesla's Optimus competes with other companies in the humanoid robot space, such as Boston Dynamics with its Atlas robot and Figure AI, which focuses on manufacturing and logistics [7][8] Group 3: Economic Implications of Optimus - Optimus could introduce labor automation, supporting manufacturing and routine tasks, which may lead to significant labor efficiencies and lower operating costs for Tesla [9][10] - The commercialization of Optimus could open new markets like logistics, retail, and healthcare, addressing rising labor needs [10][11] Group 4: Future Potential - If successful, Optimus could provide Tesla with a durable growth engine beyond its traditional auto and energy solutions, potentially reaching a market value of $10 trillion [12][13] - The recurring demand and high margins associated with robotics could surpass the automotive business, which faces cyclical demand and competition [11][12]

The slowing pace of improvement of new generative AI is an indication that large language models are not living up to their hype. But a more important sign may be the rise of smaller alternatives https://t.co/CkanzdrdB2 ...