Inference Scaling vs Larger Tasks
Distinguishes inference scaling from natural compute increases for bigger tasks in LLMs. Uses Pareto frontiers of compute budget vs. task time-horizon to analyze efficiency. Argues true scaling concerns arise only when exceeding human-equivalent costs inefficiently.