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

  1. datasette-agent-sprites 0.1a0

    Google's Gemini 3.5 Flash model, while fast, is significantly more expensive than its predecessors, with estimates suggesting a total parameter count between 250 billion and 300 billion. Despite its speed, users report that it can be prone to generating overly elaborate outputs and may struggle with precise structural corrections. Discussions on Hacker News indicate that while Gemini 3.5 Flash excels at one-shot coding tasks, its performance in long-term agentic tasks requiring tool use is less robust. AI

    IMPACT Sets a new benchmark for high-performance, high-cost LLMs, prompting careful consideration of ROI for AI operators.

  2. datasette-agent 0.1a1

    Simon Willison has released Datasette Agent, an extensible AI assistant designed to interact with data stored in Datasette. The agent allows users to ask conversational questions about their data, and with plugins, can generate charts or even images. It leverages models like Google's Gemini 3.1 Flash-Lite for its operations and is designed to be highly extensible with new plugins, including those for image generation and code execution. AI

    IMPACT Enhances data interaction for users of the Datasette platform by providing a conversational interface and charting capabilities.