# 热力学智能度量

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-04 15:28
- AIHOT 分数：40
- AIHOT 链接：https://aihot.virxact.com/items/cmr620ggd00ggsldimdc6w42f
- 原文链接：https://x.com/rohanpaul_ai/status/2073307824726368732

## AI 摘要

一篇新论文提出“热力学智能度量”，将智能定义为系统利用信息和控制使罕见但有效的未来更可能发生的物理过程。现有智能评估只衡量任务完成度，未能解释大脑、大语言模型、控制器等系统的共同本质。论文引入“rare-valid lift”（罕见有效提升）指标：比较系统相对于被动基线产生稀有且有效结果的频率。仅当结果在自然状态下罕见且有效时才计入智能。高提升要求系统能准确识别罕见有效结果，且识别精度高时接近高提升。论文最终将智能视为概率偏移过程。arXiv:2606.20231。

## 正文

Intelligence is the ability to make rare but valid futures more likely.

So an intelligent system is "thermodynamically intelligent" when it uses information and control to make a rare but valid outcome much more likely.

as per this paper.

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.

The authors turn this into a measure called rare-valid lift， which asks how much more often a system produces those unlikely but acceptable futures than a passive baseline would.

They show that high lift is impossible unless the system can accurately spot the rare valid futures， and high spotting accuracy can nearly produce high lift when the system can act well.

The main point is that intelligence becomes a physical probability-shifting process， not just a score on tests or a label for human-like behavior.

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arxiv. org/abs/2606.20231

Title： "Thermodynamic Measure of Intelligence"