WHAT'S GOING ON WITH AI PROGRESS AND TRENDS?

Summary from the TLDR Founders newsletter

AI progress stems from faster algorithmic advances and increased compute for training, with the trend of training compute growth expected to slow from 4.5x to around 3.5x annually. Returns to pretraining are diminishing, shifting focus towards scaling up reinforcement learning, though this brings its own challenges, like environment scalability. Despite some bumps, notable algorithmic improvements have accelerated to potentially 4.5x effective compute per year, primarily driving advancements over merely increasing raw compute.