Xai

The last two co-founders of xAI have departed. Manuel Kroiss and Ross Nordeen left the company in late March 2026, completing a cascade of exits that began in earnest when Tony Wu departed on February 10. All 11 original co-founders of Elon Musk’s AI startup are now gone. This is not a gradual organizational shift. In a company that turned three years old this year, the entire founding team has exited within a matter of weeks. The pace and completeness of the departures is unusual even by the standards of the current AI industry churn. ...

Elon Musk has unveiled Macrohard — also being called “Digital Optimus” — a joint project between Tesla and xAI that could be the most ambitious computer-use AI agent announced to date. The combination is exactly what you’d expect from Musk: audacious framing (“emulate the function of entire software companies”), paired with a technically interesting architecture that actually warrants the headline. What Macrohard Actually Is The core system pairs Grok LLM reasoning with a Tesla-built computer-use agent that watches a continuous stream of screen video. Specifically, the agent processes the last five seconds of screen activity and responds with real-time keyboard and mouse actions — essentially a “see what you see, do what you’d do” loop operating at video-frame speeds. ...

Most multi-agent AI systems are built by developers — frameworks assembled from components, with agents spawned programmatically, each given a role, each calling the others through APIs or queues. It’s architected software. What xAI shipped in mid-February is something structurally different: a model where the multi-agent council isn’t something you build around — it’s something that runs inside every response. Grok 4.20 Beta launched with four named agents — Grok, Harper, Benjamin, and Lucas — that execute a think-then-debate-then-consensus loop as part of the model’s native inference process. For queries below a complexity threshold, users may never notice the agents working. For hard problems, the loop is engaged automatically: agents independently reason about the problem, challenge each other’s conclusions, and surface a synthesized answer. You don’t configure this. It just runs. ...