Tag
The paper introduces an algorithm allowing unfaithful LLM providers to artificially inflate reasoning paths for overcharging while evading detection, validated through experiments with models like Llama and Qwen.
The essay argues that frontier AI labs have financial incentives to support regulatory pacing beyond safety concerns, as regulations can protect their market position and delay competitive investments.