A new AI study finds that large language models show stable, surprising behaviors when left alone. https://t.co/tUBr1FE5kl ...

Group 1 - OpenAI introduced GDPval, a benchmark assessing AI's capability to perform actual job tasks, focusing on occupations with at least 60% computer-based tasks [1] - The study emphasizes that the initial impact of AI will primarily affect white-collar, office-based jobs, rather than manual labor roles [2] - A previous study indicated that up to 80% of U.S. workers could see at least 10% of their tasks influenced by large language models (LLMs), with 19% facing at least 50% impact [3] Group 2 - The trajectory of AI development suggests that by 2027, AI could match human experts in various fields, potentially transforming tasks previously deemed too specialized for automation [4] - Software development is highlighted as particularly vulnerable to AI disruption, along with legal, accounting, financial analysis, and customer service roles [5]

Large language models do not separate data from instructions. If they are given a command, they will attempt to follow it. This oversight can become a security vulnerability https://t.co/mBceL0vBEw ...

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 ...

You can find original article here Wealthmanagement. Subscribe to our free daily Wealthmanagement newsletters. In 2024, a study by J.P. Morgan AI Research and Queen’s University found that leading proprietary artificial intelligence models could pass the CFA Level I and II mock exams, but they struggled with the essay portion of the Level III exam. A new research study has found that today’s leading large language models can now clear the CFA Level III exam, including the essay portion. The CFA Level III ...

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 ...