Scaling AI: Inference vs. Pre-Training

This chapter examines the intricacies of inference scaling versus pre-training scaling in AI models, emphasizing the importance of reasoning capabilities as models are expanded. It highlights the challenges, inefficiencies, and economic implications of increased computational requirements, particularly how these affect performance outcomes. The discussion ultimately questions the viability of advanced AI systems in relation to human labor costs and operational efficiency.