今天上午连续两节课程，主题围绕人工智能与系统优化。授课教授在 AI 优化领域深耕多年，成果颇丰。课前我特意读完了他的著作，提前吸收了不少思路，课堂上再对照讲解，收获格外充实。课堂上我们一同看见，各类 AI 理论落地成型，转化为能够切实赋能大众的实用工具。归根结底，AI 本身只是一件工具，好坏、利弊，完全取决于人类使用它的方式。

午间抓紧时间休整，下午开启全新课程模块，宏观经济学。这里的课程内容详实、信息量充足，课堂完整梳理了二十世纪全部宏观经济数据，借海量数据复盘美国百余年经济发展脉络。教授还抛出一个值得深思的议题：人工智能将如何重塑未来全球 GDP 走势。他提出，当大量人类劳动实现自动化后，经济体的 GDP 总量将趋近无限。这个观点很难简单下定论、展开争辩，只希望我们都能沉下心，更周全地推演、思考 AI 带来的各类经济变局。

傍晚来自沃尔玛的负责人介绍，讲解细致透彻，我直观感受到这家零售巨头强大的议价权，着实令人惊叹。我也判断：下一个商业时代，核心模式会转变为工厂与终端消费者直接对接；传统中间商不再依靠信息差赚取差价，仅留存技术支持、产品展示这类增值服务，作为自身的生存支点。

I took two back-to-back lectures on AI and system optimization this morning. The professor has remarkable achievements in AI optimization. I happily finished his book in advance and gained plenty of insights. It was rewarding to witness how those theories evolved into practical tools that benefit people. At the end of the day, AI is nothing more than a tool; its value entirely hinges on how humans deploy it.

I took an immediate rest at noon before starting our new afternoon course on macroeconomics. The curriculum here delivers massive, substantial content, covering all macroeconomic data from the 20th century, which lets us trace the trajectory of U.S. economic development. The professor also pondered how AI will shape humanity’s future GDP growth. He argued that once most human jobs become automated, human GDP will approach infinity. This conclusion is hard to debate thoroughly, yet I hope we can all reflect deeply and rationally on such prospects.

A trip to Walmart in the evening proved worthwhile. The guide gave a thorough introduction, and I got a clear view of the company’s formidable bargaining power — truly impressive. I believe the next era will feature direct transactions between manufacturers and consumers. Intermediaries will only survive by offering technical support and product display services, instead of profiting from information gaps.