“We were looking at it wrong”: The explosive claim that’s upended the AI world

Nick Cammarata, a researcher at the AI startup Goodfire, recently published a 26,000-word blog post claiming that large language models (LLMs), a type of AI software, might be easier to understand than previously believed.

This claim has generated significant attention in the AI community, with some researchers calling it a potential major breakthrough in AI science.

Cammarata’s optimism contrasts with widespread concerns about AI systems operating unpredictably or uncontrollably.

The AI industry has faced challenges with AI agents—autonomous programs designed to perform tasks—acting in unexpected ways on the internet, sometimes without their creators’ awareness.

Cammarata’s post suggests that understanding and controlling these systems could be more feasible than many experts thought, offering a more hopeful perspective on AI safety and governance.