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A hug across 27 years：American teacher and Chinese desert fighter reunite and embrace with tears in China's Inner Mongolia_我的网站

刀马旦

一 |

Ronald Sakolsky (center) reunites with sand fighter Yin Yuzhen on August 23, 2026 in Ordos, North China's Inner Mongolia Autonomous Region. Yin received his $5,000 donation and turn them into 50,000 full-grown trees. Photo: Lin Xiaoyi/GT

A long-awaited reunion that captured nationwide public attention unfolded on Sunday evening: American teacher Ronald Sakolsky and Yin Yuzhen, a model worker renowned for planting trees and combating desertification, reunited and embraced tearfully with overwhelming emotion at an airport in Ordos, Inner Mongolia, across 27 years and the separation of the ocean.
In 1999, Sakolsky raised $5,000 to fund Yin's tree-planting initiative. The young saplings bought with the donation have since matured into more than 50,000 full-grown trees in the once-barren Mu Us Desert in Inner Mongolia.
Yin waited at the arrival gate very early, the Global Times reporter observed, as she murmured English sentence she particularly learned for this occasion "Welcome to China my brother." She wore an outfit with green shade, as "green is the color of the Earth."
According to Yin, she and her family has prepared for the reunion steamed buns, meaning "upward," and vegetables and fruits picked from the land transformed from desert.
Yin's eyes were fixed on the escalator, and wiped out tears multiple times during the waiting time as travelers come in groups.
Sakolsky said in earlier interview with the Global Times that he looked forward to this reunion and cannot hold his tears when he thought of the moment. He was about to give Yin a hug when they meet.
When Sakolsky finally appeared in front of Yin, both people's eyes welled up with tears. Stepping off the elevator, Sakolsky could barely contain his excitement, muttering "Oh my God, oh my God." They hurried toward each other and locked in a tight embrace at last - the long‑awaited hug 27 years in the making, the Global Times saw.
"This is a dream come true, from a lady who is the hero of the story, not me," Sakolsky told the Global Times at the airport, barely holding his emotion. "She made a promise 27 years ago, and she kept her promise. I never thought I would see her again. It is a miracle."
"Brother" is one of the words Yin specially learned to greet Sakolsky and the American friend told media that "we are brother and sister now. 27 years ago, we were just friends and acquaintances."
So much has happened since then, but the important thing is many people have seen the story. And now they can also help to make China beautiful, Sakolsky noted.
"When I hugged her the first time, she stood like this, she was very scared. Chinese women do not hug men especially foreigners in public. But this time is exception, we are brother and sister now," he said.
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新智元报道

AI 没有抢走任何人的工作。至少到目前为止没有。

二 | 这个结论来自 Anthropic 经济研究负责人 Peter McCrory 近日发布的一篇长文。

https://x.com/PeterMcCrory/article/2079979321607745905经质量调整的 AI 产出在 2024 和 2025 年均增长超过 2000%，约五分之一的美国企业已在业务中使用 AI，但美国 6 月失业率仍然是 4.2%，恰好落在充分就业水平上。McCrory 的核心判断是：AI 目前仍是一种「技能偏向型、劳动力增强型」技术，它在放大人的能力，而不是替代人。他同时给这个判断标了有效期：12 个月。

数据不撒谎：

连 AI 高暴露岗位都没事McCrory 拉了一整条数据链来证明美国劳动力市场有多稳：失业率 4.2%，职位空缺与失业人数之比刚过 1，25 至 54 岁就业比例接近数十年高位，初请失业金人数连续四年低位运行。

三 | 他认为，总体而言，美国就业形势稳中向好。总量数据只是起点，分组对照才见真章。McCrory 与同事 Maxim Massenkoff 此前做过一项分析：把 Claude 被大量用来自动化的任务所对应的岗位单独拎出来，看它们的失业率是否比其他岗位恶化更快。答案是没有。用最新的劳动统计局数据更新，结论不变。软件工程类职位的招聘帖自 2025 年 5 月起反弹，涨幅甚至高于其他岗位的平均水平。唯一值得留意的是年轻劳动者。McCrory 承认，年轻人在 AI 高暴露岗位上求职确实变难了，斯坦福数字经济实验室的论文提供了类似证据。但他也指出一个容易被忽略的背景：2022 年至今，美国经历了有记录以来最大幅度的非衰退式劳动力市场降温，「低招聘、低裁员」格局本就最先挤压早期职业者。把这笔账全算到 AI 头上，证据不够。

为什么没抢走工作：

每个岗位都有 AI 搞不定的环节McCrory 的解释建立在 Anthropic 过去 18 个月多份研究报告的事实基础上，逻辑链条是这样的：第一层事实：在美国劳工部 O*NET 的全部职业分类中，没有任何一个岗位的所有关联任务被 Claude 系统性地完成。每个岗位都存在 AI 搞不定的环节：人际协调、面对面互动、与物理世界打交道。这些环节像木桶的短板，既限制了 AI 对整体生产力的提升幅度，也让能补上短板的人变得更值钱。第二层事实：AI 越强，对操控它的人的要求也越高。Anthropic 今年 1 月的 Economic Primitives 报告发现，Claude 产出越复杂，背后用户的输入专业度越高。模型做出复杂经济模型时，往往是一个能给出精准指令的专业用户在指挥。

https://www.anthropic.com/research/economic-index-primitives3 月的 Learning Curves 报告显示，用 Claude 六个月之后，用户更多地把它当思维伙伴来用，交互成功率更高。如果 AI 已经强到能独立完成工作，这种学习效应不该出现。

https://www.anthropic.com/research/economic-index-march-2026-report第三层事实：即便到了 Agent 时代，人的价值依然稳固。

四 | Anthropic 分析了 Claude Code 七个月的使用数据，发现任务价值在持续攀升，但人类专业能力的回报没有下降：用户负责规划，把实现委派给 Claude；专业能力更强的用户，任务成功率更高，Claude 犯错时恢复也更快。

五 | 纯编程实现的溢价可能正在缩水，但规划、判断和纠错的价值反而上升了。一个有趣的佐证来自用户自己的感受。Anthropic 6 月的经济指数调查里，超过三分之一的受访者预期 AI 在 12 个月内能完成自己大部分工作，但预期自己因此失业的比例明显更低。用 AI 自动化程度更高的那批用户，对薪资和工作安全感反而更乐观。

https://www.anthropic.com/research/economic-index-june-2026-report

三种「奇点」和一道防线McCrory 对当下的判断是乐观的，但他没有回避三种可能打破现有格局的未来场景。它们在学术文献和行业讨论中分别被称为软件奇点、经济奇点和科斯奇点。

https://x.com/MTSlive/status/2090610614154764509软件奇点指的是 AI 自动化创新本身。

六 | 过去的通用技术再强大，内燃机造不出新的交通方式；但 AI 被直接赋予了通用认知能力，理论上可以反过来加速自身迭代。McCrory 原文明确讨论了这一场景：递归自我改进（RSI）一旦成立，AI 能力的提升将脱离人类控制的节奏。经济奇点是软件奇点的经济学后果。McCrory 援引 Aghion、Jones 和 Jones 2017 年的模型指出，如果创新过程本身被自动化，标准经济模型会预测出「有限时间内的无限增长」。这个结论听起来像科幻，但它是严格的数学推演。科斯奇点则瞄准另一个维度。NBER 2025 年的一篇论文（Shahidi、Rusak、Manning 等人合著）提出，当 Agent 把搜索、谈判、签约和监督等交易成本压到接近零时，Ronald Coase 1937 年的经典问题就会被重新激活——市场协调的成本一旦消失，企业存在的理由也就动摇了。

https://www.nber.org/system/files/chapters/c15309/c15309.pdfMcCrory 讨论的 Agent 场景天然与这一框架对话：如果 Agent 不只改变生产方式，还改变组织形态，劳动力市场的影响将远不止「谁丢了工作」这么简单。面对三种奇点，McCrory 给出的防线是同一道：「弱环节」。这个概念来自 Aghion、Jones 和 Jones 的论文——经济增长的上限不由做得最好的环节决定，而由那些不可或缺却难以改进的环节决定。