Jensen Huang

Dream-RSI, from Google, University of Maryland, and Google DeepMind, has an AI agent replay its own past discovery attempts in a cheap offline simulator, then redeploy the improved search strategy online. It cut discovery cost sharply across algorithm engineering, math optimization, and GPU kernel work — while leaving the underlying model's weights untouched.

Three days after Dario Amodei's "Pace the Frontier" essay, the debate jumped from AI labs into markets and national politics. Investor Michael Burry called the pacing warnings "self-serving hype tied to IPOs," AI researcher Gary Marcus voiced similar doubt, Palantir CTO Shyam Sankar cast AI safety as ideological overreach, President Trump dismissed the whole premise as a "hoax" — first in a post, then live on a call to the All-In Summit with Jensen Huang on stage — and Kamala Harris called for Congress to pass a law slowing frontier AI down. Here's who said what, and why it now matters more than the essay itself.

On September 14, 2026, Elon Musk reposted Tim Urban''s decade-old Wait But Why cartoon where machine intelligence stays flat, then shoots past human and Einstein levels while stick figures go from "Haha adorable monkey tricks" to "The fuck??" Musk called it on target and said AI is improving rapidly — the same exponential-curve story he has used for years, now landing against GPT-6 Astra, pacing debates, and fresh AGI declarations. Here is what the image actually argues, what changed since 2015, and how to read the repost without mistaking a meme for a measurement.

A widely discussed Economist briefing lays out roughly $300 billion in guarantees, backstops, and equity stakes Nvidia has extended to its own customers — neoclouds, AI labs, even Wall Street funds — to keep demand for its chips growing. Here's what the actual numbers show, why critics compare it to Cisco's dot-com-era vendor financing, and what it means for anyone paying for compute or choosing which model to build on.