A powerful decentralized AI model called INTELLECT-2 just outperformed major language models using a global network of contributors and open-source tools.

vidia 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 modelhttps://www.primeintel...03:20 Flowith releases Neo, a visual AI agent that builds apps and games autonomouslyhttps://flowith.io/Their Official X Page - https://x.com/flowith_ai05:33 Nvidia launches DGX Cloud Lepton, NVLink Fusion, and GR00T Foundation Modelshttps://www.nvidia.com...08:41 Apple rebuilds Siri from scratch using its own large language modelhttps://beebom.com/app...10:25 YouTube tests Gemini-powered emotional ad targeting called Peak Pointshttps://tinyurl.com/yo...

🎥 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.

Decentralized AI Trained By Internet Shocked Entire Industry