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    Ollaya is a project being discussed on Hacker News, described as 'Ollama for open-source, Jev-style decision models'. The framing suggests a tool that makes decision-making models as easy to run locally as Ollama made large language models, though the single post title gives little detail. With 537 likes and a high rank, commenters appear interested in the analogy to Ollama, but the posts collected do not explain what the tool actually does or why it is generating attention.

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    Microcontrollers now run a diffusion model and 289M-parameter LLMโ—Microcontrollers now run a diffusion model and 289M LLMโœ‰newsTechnologySoftware30 min ago

    Microcontrollers โ€” tiny, low-power chips typically limited to simple tasks โ€” can now run a diffusion model and a 289 million-parameter large language model, according to coverage by Adafruit and Open Source For You. The development suggests generative AI workloads are moving beyond GPUs and cloud servers onto minimal embedded hardware, a notable shift for edge computing and hobbyist electronics communities.

  3. 3
    Morocco and Mistral AI Launch Open-Source Darija AI Toolsโ–ผMorocco, Mistral AI Release First Open-Source Darija AI Toolsโœ‰newsTechnologySoftware30 min ago

    Morocco and French AI company Mistral AI have released the first open-source AI tools for Darija, Morocco's Moroccan Arabic dialect. The move lets developers build applications that understand and generate the language, which mainstream AI models have largely overlooked. It is being framed as a step toward digital sovereignty and better AI representation for Arabic dialects and North African languages.

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    Benchmark finds AI models inflate security vulnerability severityโ—Every model (incl. Jev) we tested inflates security finding severityYhnSportFootball87 min ago

    Security firm Casco reports that every large language model it tested, including its own Jev model, inflated the severity of security findings when scoring vulnerabilities, overstating risk compared to expected CVSS ratings. The company published a benchmark detailing the results, prompting discussion about how far AI-generated severity scores can be trusted in security workflows.

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    How to Query and Compare Multiple LLMs on Linuxโ—How to Query and Compare Multiple LLMs on Linux # ai # anthropic # api # chatgpt # claude # large_language_models_ (llmsMmastodonTechnologyAI14 h ago

    A guide circulating among Linux users explains how to query and compare several large language models, including Claude, ChatGPT, DeepSeek, Grok and GLM, from the command line using Python and API aggregators. It walks through setting up access to multiple providers so outputs can be reviewed side by side, aimed at developers choosing between AI services or testing models on their own machines.

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    Thomson Reuters unveils Thomson, its own legal AI modelโ—Meet Thomson: The LLM built by Thomson Reutersโœ‰newsTechnologyAI33 min ago

    Thomson Reuters has introduced Thomson, a large language model built in-house and aimed at its legal and professional customers. The company positions the model as tailored to legal work, building on its Westlaw and CoCounsel products. Attention is likely to focus on how it compares with general-purpose models from OpenAI and other major AI providers.

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    Amidi Brothers Release Illustrated Guide to Transformers and LLMsโ—Super Study Guide: Transformers & Large Language Models by Afshine Amidi and Shervine Amidi ๐Ÿ“– on Leanpub! A clear, illusMmastodonTechnologyAI11 h ago

    Afshine Amidi and Shervine Amidi have published 'Super Study Guide: Transformers & Large Language Models' on Leanpub. The book offers a clear, illustrated introduction to large language models, covering key concepts and practical applications. The authors say it is suited to work projects, interview preparation, or personal learning, adding to their well-known series of study guides on machine learning topics.

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    The Financial Times argues that 'snoop-and-scoop' โ€” the practice of monitoring others' research and rushing out competing AI-driven results first โ€” now poses a genuine threat to science. In the AI age, large language models can mine public findings and generate rival papers within days, undermining the trust, sharing and credit on which open research depends, and potentially deterring scientists from publishing openly.

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    The Benefits and Uses of Open Source LLMsโ–ผThe Benefits and Uses of Open Source LLMs | Open Source For You - technologyโœ‰newsTechnologySoftware1 h ago

    Open Source For You has published an overview of the benefits and practical uses of open source large language models. The piece highlights how freely available LLMs let developers and organisations customise AI tools, avoid vendor lock-in and control their own data, as open models increasingly rival proprietary alternatives. It arrives amid ongoing industry debate over openness, cost and safety in AI development.

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    AI models leaking sensitive company data in screenshotsโ—AI models keep posting screenshots showing sensitive data from inside tech companiesโœ‰newsTechnologySoftware1 h ago

    AI models have been producing screenshots that expose sensitive internal data from technology companies, according to a report by The Register. The incidents raise fresh concerns about how much confidential information large language models can inadvertently reveal, and what safeguards firms need around AI tools handling internal material.

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