The blog post discusses the need for AI development to prioritize efficiency over solely increasing computational power, drawing parallels with the evolution of CPU technology. It argues for a shift towards maximizing useful work per compute unit, and outlines potential measures of progress in AI efficiency. The author advocates for a balanced approach to AI development that includes both powerful models and improved architectural efficiency.