DECENTRALIZED AI Trained by the INTERNET Just SHOCKED The Entire Industry
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A powerful decentralized AI model called INTELLECT-2 just outperformed major language models using a global network of contributors and open-source tools. Nvidia unveiled new AI hardware and cloud platforms at Computex, including DGX Cloud Lepton and NVLink Fusion, while Flowith launched a visual AI agent that completes complex tasks with no code. Meanwhile, Apple is rebuilding Siri from scratch, and YouTube is testing Gemini-powered emotion-based ad targeting that could change how ads are shown forever. 🔍 What’s Inside: 00:37 INTELLECT-2 becomes the first 32B parameter decentralized AI model https://www.primeintellect.ai/blog/intellect-2-release 03:20 Flowith releases Neo, a visual AI agent that builds apps and games autonomously https://flowith.io/ Their Official X Page - https://x.com/flowith_ai 05:33 Nvidia launches DGX Cloud Lepton, NVLink Fusion, and GR00T Foundation Models https://www.nvidia.com/en-tw/gtc/keynote/ 08:41 Apple rebuilds Siri from scratch using its own large language model https://beebom.com/apple-building-new-llm-powered-ai-siri/ 10:25 YouTube tests Gemini-powered emotional ad targeting called Peak Points https://tinyurl.com/youtubeaiads 🎥 What You’ll See: * How a decentralized swarm trained INTELLECT-2 to beat billion-dollar models * Why Flowith’s agents now handle end-to-end tasks like building games and websites * What Nvidia’s AI hardware and Apple’s new Siri reveal about the next phase of AI * How YouTube is using AI to place ads at moments of emotional engagement 📊 Why It Matters: From decentralized training to autonomous agents and emotion-aware ads, every layer of the AI stack just shifted—reshaping the future of work, creativity, and how people interact with machines. #ai #nvidia #apple
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