.@river_ai_inc has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in @ibab's ambition to build open-weight models that individuals can train and improve continuously. Watch @htaneja in conversation with Igor. Chapters 02:22 — Co-Founding xAI 04:36 — An AI Experience You Own 05:59 — Betting Early on Open Weights 07:47 — How Do You Make Money on Free Models? 09:25 — Why the US Needs Its Own Open Models 11:27 — Enterprises Want to Control Their AI 13:36 — What Is Continual Learning? 16:56 — An API That Updates the Weights 19:17 — A Personal AI for Everyone 20:46 — The 20-Minute Training Run

TRUMP LAUNCHES AI-POWERED President Trump launched as a single entry point for federal services, with Google’s Gemini and Grok powering the AI experience. Instead of figuring out which agency or website to visit, users can simply describe what they need, from Medicare eligibility and passport help to Social Security, veterans’ care, federal jobs and business registration. The platform pulls answers only from official government sources and is designed to bring information currently spread across roughly 29,000 government websites into one place. The initial version focuses on answering questions and directing users to the right services. Later this year, passport renewal and Medicare enrollment are expected to be added directly to the site. The broader plan goes further. In 2027, is expected to let users complete forms, track applications, update information across agencies and handle more government services without jumping between separate websites. It’s basically an attempt to turn thousands of government websites into one AI-powered interface for interacting with the government.

Chips are the foundation of every AI experience. That's why understanding the hardware behind the software has never mattered more. When you ask a chatbot a question or generate an image, there's a physical chip somewhere doing the heavy lifting. For most of computing history, that was a CPU—the "brain" of a computer—great for general tasks needed to run software and operating systems. AI is more complex: for workloads called training and inference, AI needs to perform trillions of calculations in parallel. That's where AI accelerators come in. Purpose-built accelerators can deliver significantly better performance and efficiency than general-purpose chips. @awscloud Trainium chips are an example—purpose-built for AI training and inference. New chips for a new era. ⬇️

Embedded development, meet agentic AI. Dive into @Forbes latest piece on AMD Ross, a new agentic AI assistant that dramatically accelerates the entire embedded design and development cycle by bringing natural-language tool interaction and expert-authored workflows together in a single agentic AI experience:

To coincide with the #A250#, Microsoft unveiled an AI experience that lets visitors have a conversation with U.S. President Theodore Roosevelt at the new @TRPresLibrary. And who better to put our avatar to the test than American historian @DorisKGoodwin? The result was a conversation across time. Powered by @Microsoft technology and built on Roosevelt’s writings, speeches, letters, and historical records, this experience shows how technology can make archives more accessible, scholarship more dynamic, and history more engaging for a new generation.