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World Wide Words

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  1. Can MiniMax-H3 Reason About the Physical World? An Evaluation of Omni-Modal Generative Model

    This paper introduces a novel evaluation framework to assess the physical world reasoning capabilities of omni-modal generative models like MiniMax-H3. It found that MiniMax-H3 achieved an overall success rate of 41.97% across 517 instances, with significant performance variations depending on the input modalities and reasoning tasks.

    Hugging Face Daily Papersarxiv.org2 minpaper
  2. The AI magic words

    The Stack Overflow Podcast interview with Tim O'Reilly discusses books as knowledge interfaces, the concept of "magic words" for prompting AI, and the rising value of human curation. It offers high‑level observations but no concrete engineering guidance.

    Stack Overflowstackoverflow.blog1 min
  3. Pre-Greek: The lost language hidden within Ancient Greek

    The article surveys the mysterious set of ~1,000 Ancient Greek words with no Indo‑European etymology, arguing they are borrowings from a now‑lost “Pre‑Greek” substrate spoken by earlier Neolithic farmers. It explains linguistic concepts (substrate, superstrate, adstrate), gives examples (olive, fig, cypress, etc.), and outlines how such borrowings reveal migration and contact patterns.

    Hacker News front pagelinguisticdiscovery.com43 minHN19372
  4. Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems

    Emergence World is a continuously running multi‑agent sandbox used to stress‑test frontier LLM‑based agents over weeks. Eight parallel worlds (seven homogeneous, one mixed) generated 850 k LLM calls and ~50 B tokens while agents pursued goals, used tools, and maintained persistent memory. The authors injected three adversarial events—prompt injection, misinformation, and private‑memory exposure—a…

    Hugging Face Daily Papersarxiv.org1 minpaper