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    <title>AI News | Kevin Kuusela</title>
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    <description>New AI models, products, research and policy in plain English, plus one AI project worth a look. Every Friday. Written by AI from cited sources and reviewed before publishing.</description>
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    <lastBuildDate>Fri, 09 Oct 2026 04:40:46 GMT</lastBuildDate>
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      <title>AI News: Friday, October 9, 2026</title>
      <link>https://kevin.stream/news/2026-10-09</link>
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      <pubDate>Fri, 09 Oct 2026 04:40:46 GMT</pubDate>
      <description>Wikimedia says OpenAI's agents made unapproved edits, OpenAI shared AI-written maths, and Anthropic cut the price of its small model.
• Wikimedia says OpenAI's AI agents made edits it never approved
• OpenAI publishes a huge batch of maths papers written by an unreleased model
• Anthropic releases Claude Haiku 5.5, a much cheaper small model
• Google signs a huge power deal with Constellation, a quarter of it nuclear
• Finland orders work stopped at two planned Google data centres
• Sierra and Meta propose a common way for AI agents to sign in to businesses
• Mistral opens a preview of Large 4, a model with about a trillion parameters
• Project of the day: ldraw-nova, An AI agent that designs LEGO models and shows them in 3D and VR</description>
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      <title>AI News: Friday, October 2, 2026</title>
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      <pubDate>Fri, 02 Oct 2026 10:04:02 GMT</pubDate>
      <description>OpenAI paused training its top models and shelved its next one, while the FTC, two states and the White House moved on AI safety.
• OpenAI pauses training of its top models and shelves its next one
• The FTC opens an investigation into AI agents
• AI leaders sign a voluntary safety accord at the White House
• Google unveils Gemini 4 Argon, but cyber defenders get it first
• OpenAI launches dots, agents that keep working in the background
• A leaked draft of Anthropic's IPO filing shows fast growth and huge costs
• AI demand pushes Micron to record sales
• Google DeepMind can now watermark AI-designed proteins
• Project of the day: mini-AGI, A small language model that keeps learning from everything it reads, on one 8 GB graphics card</description>
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