Dario Amodei and Danny Hernandez of OpenAI released "AI and Compute", an analysis of the compute used in large-scale AI training. It estimated that since 2012 the compute used in the largest training runs had grown exponentially with a roughly 3.5-month doubling time, a more than 300,000x increase overall. The analysis popularized the view that compute scaling was a key driver of AI progress and became widely cited as a precursor to the scaling-focused era.