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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Update, more slides: Run LLMs Locally I added sandboxing of OpenCode and llama.cpp with nono and Landlock. And a new slide to describe jailbreaks with DeepIncep

    Thomas Bley has updated his presentation on running Large Language Models locally. The update includes sandboxing for OpenCode and llama.cpp using Nono and Landlock, along with a new slide detailing jailbreaks with DeepInception. AI

    Update, more slides: Run LLMs Locally I added sandboxing of OpenCode and llama.cpp with nono and Landlock. And a new slide to describe jailbreaks with DeepIncep

    IMPACT Provides technical insights for running LLMs locally, focusing on sandboxing and security.