Jev 是否在偷偷学价值函数：System 1/2 切换的校准问题
作者把 Jev 放进 System 1/2 决策框架，讨论何时该快速作答、何时该切深度推理，并把预测任务成功对应到 RL 的 Q 函数。
Is Jev secretly learning a Value function? A model can always choose “A” without being certain that “A” is correct. That distinction matters when an agent must decide whether to act fast or switch to deeper reasoning. We spent some time exploring: 1. How Jev fits into System 1/2 decision-making and why calibration matters for knowing when to switch 2. Why maximising expected reward in RL does not guarantee calibrated probabilities. 3. How predicting eventual task success in agentic tasks connects to a familiar RL quantity: the Q-function. Could value prediction help build a calibrated System 1—and could that be part of the story behind Jev? Link: https://souradip-chakraborty.github.io/blog/jev-rlcd/ #Jev #RLCD #System1