Rohan Paul@rohanpaul_ai · X该论文提出“热力学智能”概念，将智能定义为通过信息与控制显著提高罕见有效结果概率的能力。现有评测仅关注任务成功率，而论文指出大脑、大语言模型、控制器等智能体的共同点：系统将自身纳入世界模型，并基于模型选择行动以改变未来概率。有效未来需满足在被动行为下罕见且仍有效。作者提出“罕见有效提升”度量，衡量系统比被动基线更频繁产生此类未来的倍数。高提升取决于系统能否准确识别罕见有效未来。核心论点：智能是物理层面的概率转移过程，而非测试分数或类人行为标签。
This paper argues that intelligence is the ability to make rare but valid futures more likely.
So an intelligent system is said to be "thermodynamically intelligent" when it uses information and control to make a rare but valid outcome much more likely
Most existing intelligence measures judge task success， but they do not explain what brains， LLMs， controllers， and physical information engines have in common.
The paper's answer is that an intelligent system models the world with itself inside it， then uses that model to choose actions that change what futures become likely.
A future counts only if it is rare under normal passive behavior and still valid， so random strange outcomes do not get counted as intelligence.