Before we get to today’s column, we’re just three weeks away from AI Agenda Live, our flagship conference on all things artificial intelligence (a.k.a. my personal Super Bowl).

We’ll be joined in San Francisco by top researchers, founders, operators and investors who will be answering all of our burning questions about what’s coming up in bleeding-edge AI research, the next breakthrough AI use cases, and how AI startups are thinking about competing with their biggest model suppliers.

Speakers include Google DeepMind SVP & Chief AI Architect Koray Kavukcuoglu, who will be doing one of his first public interviews following the recent Google leadership shakeup, and OpenAI’s head of core products Thibault Sottiaux, who will be chatting about the ChatGPT maker’s product roadmap. You can’t miss it!

Onto today’s column…

Big things are coming from OpenAI with its forthcoming Astra model. As Amir, Rocket and I reported yesterday, the unreleased AI has some interesting new research powering it: specifically, an innovative technique that pushes the limits of how much the model is able to “think” about hard problems.

The breakthrough, related to well-known concepts such as loop transformers and recurrent depth, is causing all kinds of excitement as well as some measure of concern about how the technology could cause trouble.