That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

Core Insights - Nvidia's investment in OpenAI is projected to reach up to $100 billion, primarily for AI supercomputing facilities, with the first facility expected to be operational in the second half of 2026 [2][6] - OpenAI plans to lease Nvidia's GPUs rather than purchase them upfront, allowing for cost distribution over the GPUs' useful life, which could be up to five years [3][4] - The initial $10 billion from Nvidia will support OpenAI in deploying its first gigawatt of capacity [6] Investment Details - Nvidia's CEO described the deal as "monumental in size," estimating that an AI data center with a gigawatt of capacity costs around $50 billion, with $35 billion allocated for Nvidia's GPUs [4] - The lease arrangement allows OpenAI to manage costs more effectively and potentially secure better terms for future debt financing [9] - OpenAI executives have indicated that equity financing is the most expensive way to fund data centers, and the company is preparing to take on debt for further expansion [8] Operational Implications - The investment will primarily enhance OpenAI's compute capabilities, which are essential for building and training large language models [7] - OpenAI's CFO highlighted the role of partners like Oracle in financing, with Oracle leasing the Abilene facility [10][11] - OpenAI is focused on increasing compute capacity to meet growing demand, emphasizing the need for more resources to support its business model [12][15] Market Context - Nvidia's market cap has surged to $4.3 trillion, driven by GPU sales to OpenAI and other tech giants [13] - OpenAI's valuation is projected at $500 billion, supported by significant investments from Microsoft and others, allowing the company to sustain cash burn while developing AI models [13] - Concerns have been raised about the sustainability of the AI boom, with analysts noting the circular nature of funding arrangements [14]

The recent AI explosion has been largely based on large language models. But small ones are starting to steal a march, @HenryTricks tells “The Intelligence” https://t.co/6gpwRU7kRy https://t.co/zAViunD26D ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.AAvi Chawla (@_avichawla):Researchers from AssemblyAI built a state-of-the-art model that:- transcribes speech across 99 languages.- works even if the audio has many speakers.- outperforms Deepgram and OpenAI models.And much more.(2-step setup below) https://t.co/7eg0zpE4pM ...

Core Insights - A recent study indicates that leading large language models (LLMs) can now pass the CFA Level III exam, including its challenging essay portion, which was previously a struggle for AI models [2][4]. Group 1: Study Overview - The research was conducted by NYU Stern School of Business and Goodfin, focusing on the capabilities of LLMs in specialized finance domains [3]. - The study benchmarked 23 leading AI models, including OpenAI's GPT-4 and Google's Gemini 2.5, against the CFA Level III mock exam [4]. Group 2: Performance Metrics - OpenAI's o4-mini model achieved a composite score of 79.1%, while Gemini's 2.5 Flash model scored 77.3% [5]. - Most models performed well on multiple-choice questions, but only a few excelled in the essay prompts that require analysis and strategic thinking [5]. Group 3: Reasoning and Grading - NYU Stern Professor Srikanth Jagabathula noted that recent LLMs have shown significant capabilities in quantitative and critical thinking tasks, particularly in essay responses [6]. - An LLM was used to grade the essay portion, and it was found to be stricter than human graders, assigning fewer points overall [7]. Group 4: Impact of Prompting Techniques - The study highlighted that using chain-of-thought prompting improved the performance of AI models on the essay portion, increasing accuracy by 15 percentage points [8].

We want to get into your tech investments. We want to get into your views. But we got to put this question to you around H-1B visas and this new application fee.What do you make of it. What's the impact. Well, again, this is part of President Trump's negotiating process, and I think he's negotiating quite intensively right now with India.I think India would be have the biggest impact here in terms of, you know, workers in the United States. So I think this is a little bit like tariffs and it's going to capt ...

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 ...

General Information - The author encourages readers to reshare the content if they found it insightful [1] - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) daily [1] Author Information - The author can be found on Twitter (now X) with the handle @_avichawla [1]

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.