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LLMs
Trends
- 1Stanford 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
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.
- 2German user eyes Simplebanking for AI-linked account access●RE: https:// troet.cafe/@nSonic/11758658713 6488076 Ich werde mir wohl mal Simplebanking anschauen. https:// simplebanki
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.
- 3Lawyer 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 roundabout
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.
- 4Lawsuit 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. Th
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.
- 5Developers debate hardware for running local LLMs●Ask HN: What hardware are you using to run local LLMs?
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.
- 6Malware uses LLMs to rank victims by financial worth●Malware uses LLMs to rank victims by how much they're worth
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.
- 7Can software startups survive the era of large language models?●In LLM era, can software startup survive?
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.
Repos
- GoogleChrome/modern-web-guidance Keep your coding agent up to date with the latest web best practices
- hyperionaidev/smolmaxxing maxxing the ability to run different LLMs on the smallest devices possible
- Dodaios/ste80-humanizer STE80 Humanizer: agent skill that removes AI tells and rewrites text 80% of the way to ASD-STE100 (Simplified Technical
- Sandflow-ai/sand3d 3D modeling in Python, built for LLMs.
- AmSach/maple MAPLE: Manifold-Activated Pruning of Latent Experts for Sub-2-BPW MoE LLMs
- harry0703/MoneyPrinterTurbo 利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
- Thysrael/Horizon 📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
- ggml-org/llama.cpp LLM inference in C/C++
- RikiyaT/lm_understand-logs Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
- patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
- NeuraCryption/SPECTRA Compress any LLM in seconds, load it for inference and in one click you have an AI that could have taken hours of vLLM c
- sdalberto/ia-da-sobrevivencia Assistente de sobrevivência 100% offline para Windows, Linux e macOS: guias com fontes (água, fogo, comida, primeiros so
- karpathy/nanochat The best ChatGPT that $100 can buy.