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<feed xmlns="http://www.w3.org/2005/Atom"><title>Justuju: this week in AI</title><subtitle>The five stories the most sources covered in the last seven days, with why each matters.</subtitle><id>https://justuju.org/news/?view=week</id><link href="https://justuju.org/news/?view=week" /><link rel="self" href="https://justuju.org/week.xml" /><updated>2026-10-31T05:50:25Z</updated><generator>Justuju</generator><entry><title>[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders</title><link href="https://latent.space/p/ainews-gemini-4-carbon/" /><id>urn:justuju:week:8266ea920e51</id><updated>2026-10-29T05:55:19Z</updated><author><name>Latent Space</name></author><summary>Covered by 5 sources: Ars Technica AI, Google DeepMind, Hacker News (best, AI-filtered), Latent Space, The Verge AI. Why it matters: Few software companies should train their own model; design so you can swap providers, test open-weight models you could host yourself, and expect the leading model to change often.</summary></entry><entry><title>Anthropic VS code extension on Cursor backdoored for nearly 12 hours</title><link href="https://arstechnica.com/security/2026/10/anthropic-vs-code-extension-on-cursor-backdoored-for-nearly-12-hours/" /><id>urn:justuju:week:93351cbb4cc4</id><updated>2026-10-30T21:09:54Z</updated><author><name>Ars Technica AI</name></author><summary>Covered by 4 sources: Ars Technica AI, Hacker News (best, AI-filtered), The Decoder, r/LocalLLaMA (top today). Why it matters: Your customers already use general assistants, so decide what your product does that they cannot, and whether to build AI features yourself or plug into these assistants.</summary></entry><entry><title>Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity</title><link href="https://techcrunch.com/2026/10/29/mistral-releases-weights-for-its-trillion-parameter-ai-model-targeting-cybersecurity/" /><id>urn:justuju:week:23e63926ccea</id><updated>2026-10-29T17:00:00Z</updated><author><name>TechCrunch AI</name></author><summary>Covered by 4 sources: Hacker News (best, AI-filtered), Hugging Face Blog, TechCrunch AI, r/LocalLLaMA (top today). Why it matters: Few software companies should train their own model; design so you can swap providers, test open-weight models you could host yourself, and expect the leading model to change often.</summary></entry><entry><title>Who’s really in charge at Anthropic after the IPO?</title><link href="https://techcrunch.com/2026/10/27/whos-really-in-charge-at-anthropic-after-the-ipo/" /><id>urn:justuju:week:e4dbba9a243c</id><updated>2026-10-27T21:38:28Z</updated><author><name>TechCrunch AI</name></author><summary>Covered by 2 sources: Hacker News (best, AI-filtered), TechCrunch AI. Why it matters: Few software companies should train their own model; design so you can swap providers, test open-weight models you could host yourself, and expect the leading model to change often.</summary></entry><entry><title>Basically no one is using AI agents for their DoorDash orders</title><link href="https://arstechnica.com/ai/2026/10/doordash-says-outside-ai-agents-have-only-led-to-hundreds-of-orders-so-far/" /><id>urn:justuju:week:8f65b6637c02</id><updated>2026-10-30T19:30:52Z</updated><author><name>Ars Technica AI</name></author><summary>Covered by 2 sources: Ars Technica AI, TechCrunch AI. Why it matters: Agents can save real staff time but act inside your systems, so start with work that is easy to check, keep a person approving risky steps, and expect usage costs to vary.</summary></entry></feed>