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AI news for Friday, 16 October 2026

Stories 121 to 126 of 126, most important first. Back to the first page →

  1. Society & Work new

    Researchers build Real-time romance scam chatbot using Line API

    A team of researchers has developed a chatbot that detects romance scams in real time via the Line Messaging API. The system uses a large language model to analyze conversations against seven established stages of…

    1 source primary source
    arXiv cs.CL
  2. Research new

    KDnuggets lists five resources to learn about world models in AI

    KDnuggets published a list of five resources to help readers learn about world models in AI. World models simulate environments to predict outcomes and aid decision-making, bridging reinforcement learning, robotics,…

    1 source
    KDnuggets
  3. Society & Work new

    Dwarkesh Patel predicts AI handles all economic work by 2030

    Podcaster Dwarkesh Patel argues in a New York Times opinion piece that artificial intelligence will perform all work in the economy by 2030. He suggests that the current "centaur model," where humans collaborate with…

    1 source
    nytimes.com
  4. Agents & Tools new

    Open-source proxy wakes LLM servers on demand

    A developer released Sleepy LLM, an open-source reverse proxy that starts and stops LLM inference servers based on incoming requests. The tool sends a wake command on first request, forwards traffic while active, and…

    1 source primary source
    github.com
  5. Agents & Tools new

    AI models use tool calling to trigger external actions via structured requests

    Tool calling lets AI models request specific functions or external capabilities using structured arguments. This turns a model’s decision into a machine-readable action, enabling software to search, calculate, retrieve…

    1 source
    Unite.AI
  6. Research new

    Author builds CodeOwnership tool to check AI-generated code ownership

    A developer created CodeOwnership, a tool to assess whether AI-generated code can be legally owned. The tool tests for bugs planted in code snippets, with the author rating their own confidence at 4 out of 5 after an…

    1 source
    Towards Data Science