Fabeeo Breen

Google’s Search is being rebuilt around AI agents, not links. According to recent reporting, Google now uses Gemini 3.5 Flash to generate custom AI-summarized results, accept follow-up questions, and even let users submit images or video queries, with “information agents” handling background tasks instead of sending users straight to a list of blue links.[1] This is notable because Google itself calls it the biggest change to Search in more than 25 years, and it could reshape how people discover information online by shifting traffic away from traditional websites and toward agent-mediated answers.[1] Article link: https://lnkd.in/dQzc2gYi

Digital fashion pill

Blender 5.0’s standout update is the new *geonodes bundles* workflow, which lets you package an entire geometry-nodes system into a single reusable bundle and call it back later. That’s a major efficiency gain for complex procedural setups because it reduces node clutter, makes assets easier to manage, and streamlines repeatable workflows across scenes.[4] If you want, I can turn this into a tighter one-line post or a more polished social caption. Article link: https://lnkd.in/gDJMJ3Je

CFTC’s approval of the first true U.S. Bitcoin perpetual is the standout recent Bitcoin update, marking a major step toward bringing one of crypto’s most traded derivatives into regulated U.S. markets.[1] That matters because perpetual futures are a core trading instrument in Bitcoin markets, and a U.S. regulatory green light could improve access for traders while signaling broader institutional acceptance of Bitcoin-based derivatives.[1] Bitcoin also appears to be drawing fresh market attention around price recovery and broader crypto-market structure, but the derivatives approval is the most singular innovation in the latest news feed.[1] Article link: https://news.bitcoin.com

Digital fashion pill

🚀 Hermes Agent v0.15.0 — "The Velocity Release" is here! Nous Research just dropped the latest Hermes Agent update with significant performance improvements and new capabilities. 🔗 Full release notes: https://lnkd.in/gS6TU9EF 💻 To update: run 'hermes update' #HermesAgent #NousResearch #AI #VelocityRelease

Digital fashion’s biggest recent shift is the move from novelty to a practical production tool powered by 3D simulation and AI, cutting sample costs by 50–70% while speeding up design cycles. Style3D says this is now central to how apparel is created, with designers using virtual collaboration, real-time rendering, and AI-assisted workflows to test garments digitally before making physical samples.[1] This matters because it changes digital fashion from avatar-only clothing into a broader industry innovation: brands can visualize, simulate, and market products faster, with less waste and more sustainability.[1][4] NC State also notes that digital fashion can eliminate material preparation, physical manufacturing, packing, and logistics, making it a lower-impact alternative to traditional production.[3] Article link: https://lnkd.in/gB7m6-c9

Digital fashion pill

Blender 5.0’s standout update is the new _geometry nodes bundles_ workflow, which lets artists package an entire node system into a single reusable bundle and call it up later. That makes complex procedural setups much easier to manage, share, and reuse without rebuilding the same logic repeatedly.[2] It’s one of the biggest workflow upgrades in the recent Blender update coverage because it shifts geometry nodes from “lots of separate pieces” to a more modular system, speeding up advanced scene construction and reducing clutter in node trees.[2] Article link: https://lnkd.in/dA6kgN_B

Google’s Gemini 3.1 Ultra stands out as the most notable recent AI update: it combines a 2-million-token context window with native multimodal reasoning across text, image, audio, and video, instead of handling those formats separately.[1] That matters because it lets the model analyze and connect long, complex information in one pass, which is a major step toward AI systems that can reason more like general-purpose assistants than single-task chatbots.[1] Google says this version was designed from training to reason across modalities simultaneously, making it one of the clearest signals that frontier AI is moving from “generate answers” to “understand, compare, and act across many kinds of input.”[1] Article link: https://lnkd.in/dQzc2gYi