The Download: The Claim Shaking Up AI and the Internet's Agent Problem
Plus: The US Army is trying to get AI agents to hack its enemies.
By Thomas Macaulay | October 20, 2026
This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology.
"We were looking at it wrong": The explosive claim that's upended the AI world
"I think I have good news about the nature of neural networks." With those simple words of optimism, Nick Cammarata, a researcher at AI startup Goodfire, kicked off a 26,000-word blog post that has knocked the AI world on its head—sparking wild speculation as well as cautious (and not-so-cautious) celebration.
Cammarata claims that large language models (LLMs) might be far easier to understand—and therefore to monitor and control—than previously thought. If true, it's a huge deal. But not everyone is convinced.
I spoke with Cammarata the day after his post went viral. We discussed what he believes researchers are getting wrong, what his work actually demonstrates, and why skeptics aren't ready to celebrate just yet.
Read the exclusive interview to find out what Cammarata's claims could mean for AI.
—Will Do...