Challenges and Opportunities in Scaling AI Progress

The chapter delves into the need for scaling AI progress by increasing dataset size, highlighting the potential depletion of high-quality language data. It discusses recent research on filtering common crawl data to improve model performance and the estimates of available data for training AI models. The chapter also explores the rising costs associated with training AI models and the potential for significant advancements in AI training with the current data available.