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    Stanford paper claims method could reduce reliance on Nvidia memory chips●Is This the End of LLMs? This Stanford Paper Could Make Nvidia's Memory Chips Unnecessary▶youtubeTechnologySemiconductors1.1M11 min ago

    A Stanford research paper is drawing attention with the claim that a new technique could make Nvidia's high-bandwidth memory chips unnecessary for running large language models. The paper has sparked debate in the AI and semiconductor communities over whether such a shift is realistic, with some seeing it as potentially disruptive to Nvidia's business and others urging caution about unproven research claims.

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    German user eyes Simplebanking for AI-linked account access●RE: https:// troet.cafe/@nSonic/11758658713 6488076 Ich werde mir wohl mal Simplebanking anschauen. https:// simplebankiMmastodonBusinessBanking102 d ago

    A German-language social media user says they plan to try Simplebanking, a German service that aggregates multiple bank accounts free of charge. It offers an interface, including MCP support, allowing users to connect their own large language model and work with their financial data directly. The post highlights growing interest in combining open banking aggregation tools with personal AI assistants.

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    Lawyer reflects on AI's leap from early neural nets to LLMs●When I went to # law school, the state-of-the-art # AI was still Rumelhart’s BP and Kohonen’s SOM. That was a roundaboutMmastodonWorldLaw & Courts83 d ago

    A lawyer and academic notes that when he attended law school, the cutting edge of artificial intelligence consisted of Rumelhart's backpropagation and Kohonen's self-organizing maps. He argues law students of his era learned to read and write the way lawyers do rather than relying on tools, and observes that today most lawyers he knows use large language models in their daily work.

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    Lawsuit Against Google Over Alleged AI-Assisted Suicide Planning Draws Attention●Thanks to @ oldbookillustrations I found a great metaphorical illustration for a piece on schools, LLMs and children. ThMmastodonLifeEducation375 d ago

    A writer preparing a piece on schools, large language models and children is using a historical metaphorical illustration found via a public-domain archive, prompted by a newly reported case against Google. The lawsuit involves allegations that AI assisted in suicide planning, adding to ongoing scrutiny of how chatbots handle young or vulnerable users.

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    Developers debate hardware for running local LLMs●Ask HN: What hardware are you using to run local LLMs?YhnScienceBiology524 d ago

    A discussion thread on Hacker News is asking people what hardware they use to run large language models locally. Respondents are comparing consumer GPUs, Apple Silicon Macs, and dedicated workstations, weighing memory requirements, inference speed and cost against cloud API pricing. The conversation reflects growing interest in running capable AI models on personal machines rather than paying for hosted services.

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    Malware uses LLMs to rank victims by financial worth●Malware uses LLMs to rank victims by how much they're worthYhnCultureTheatre2636 d ago

    Cisco Talos researchers report that the Volta infostealer uses large language models to automatically appraise infected machines and prioritize victims by their potential financial value. The malware feeds system details to an AI model, which estimates each victim's worth so attackers can focus on the most profitable targets. The finding highlights a new stage in cybercrime automation, where AI is used not only to write malware but to direct it.

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    A discussion is underway about whether traditional software startups can survive as large language models make it cheaper and faster to build products. The core question: when a few prompts can reproduce a startup's core feature, what remains defensible? Participants are weighing whether LLMs are an existential threat to small software companies or simply a new tool that shifts where value and moats lie.

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