“We were looking at it wrong”: The explosive claim that’s upended the AI world
Nick Cammarata, a researcher at Goodfire, published a 26,000-word blog post claiming that large language models (LLMs) may be easier to understand and control than previously thought. The post has sparked both celebration and skepticism in the AI community. Cammarata's claim is based on his research on neural networks and their ability to multitask, which he calls 'superposition'.
Why it matters: This claim could have significant implications for the development and regulation of AI, potentially making it easier to monitor and control the technology.





















