AI Agents and Automation

Z.ai’s latest infrastructure story sounds almost circular: GLM-5.3 helped optimize the system that serves GLM-5.3-Flash. The headline invites a bigger claim, that the model somehow built its own infrastructure. The engineering reality is more interesting, and more useful. The GLM-5.3 inference infrastructure was a production serving stack built on more than 100,000 Chinese-made AI accelerators. … Read more

Dream-RSI sounds like the kind of system that rewrites itself into a smarter model. That is not what the paper shows. The key idea is narrower, and more interesting. The system leaves the underlying coding model, evaluator, and execution interface fixed. What changes is the exploration policy, the layer that decides where an AI discovery … Read more

OpenAI says it has reached the OpenAI automated research intern milestone it set for September 2026. Its definition is narrower than “autonomous scientist”: a system that can complete well-defined research tasks under human direction, including work that would take a skilled researcher a few days. The next target is an automated AI researcher by March … Read more

NVIDIA’s AVO system, powered by Claude Opus 5, has posted the kind of benchmark number that usually launches a thousand AGI headlines: 100.00 RHAE across all 25 ARC-AGI-3 public environments, with all 183 levels completed in 6,624 environment actions. But the cleanest headline is not “ARC-AGI-3 solved.” NVIDIA’s result is on the public set, not … Read more

Watch or Listen on YouTube Claude Cowork: What’s New And How It Compares To ChatGPT Agent Introduction Your AI assistant is great at talking. Your computer still needs you to do the work. That gap is why people keep bouncing between tabs, copying text into docs, nudging spreadsheets into shape, renaming files one by one, … Read more

Watch or Listen on YouTube Universal Commerce Protocol: UCP Agentic Checkout Breaks The N×N Bottleneck Introduction The web can do anything, except the last 3 percent. You can research a product inside a chat, compare options, even negotiate tradeoffs, then buying it still means getting kicked out into tabs, carts, and forms like it’s 2009. … Read more

Watch or Listen on YouTube The 45% Trap: Why Multi-Agent Systems Are Failing (New Google/MIT Study) 1. Introduction: Is The “More Agents” Heuristic Dead? Somewhere along the way, we absorbed a comforting myth: if an AI agent struggles, just add friends. It sounds reasonable. Humans form teams, teams tackle bigger problems, so surely Multi Agent … Read more