1 想象一下：你打开谷歌地图和苹果地图，放大美国与墨西哥之间的水域，发现“墨西哥湾”被改名为“美洲湾”。这并非假设情境，而是令人不寒而栗的现实：数字平台掌握着重绘地理、抹除文化历史、无需开一枪就能宣示主权的力量。 这种狂妄之举正是数字殖民的典型例证——21世纪的新帝国主义，通过掌控塑造我们生活的数字工具来征服国家，而不是通过传统的武力征服。 如果说20世纪的殖民是插旗子、重划国界，那么今天的殖民就是控制那些主宰交流、贸易和知识的平台，从而让国家主权沦为空谈。 然而，在这场全球性的屈服浪潮中，仍有一个国家挺身而立：中国。通过打造自身的数字生态体系，中国捍卫了其主权，为数字殖民时代的抵抗提供了一个大胆的范例。 2 所谓数字殖民，就是一个国家将自身的“生命线”外包给外国势力。想想现代生活的几大支柱：YouTube、Facebook、X 等社交媒体平台连接着数十亿人，却由美国企业控制；Amazon 和 Walmart 这样的电商巨头主导着全球贸易；Apple Pay 和 PayPal 等支付系统处理着全球交易；Google 等搜索引擎决定了人们知道什么；大型语言模型如 ChatGPT 和 Grok 则塑造着人工智能的未来。 当一个国家的公民依赖这些外国系统来维持其日常的身心活动时，他们的数据、偏好和行为被采集、变现，并在国外获利，往往毫无本地控制权可言。这就是数字殖民：不是通过军队，而是通过服务器和代码来侵蚀主权。像把“墨西哥湾”改名为“美洲湾”这样的行为正是这一权力的缩影——外国科技巨头可以通过几次键击就改变一个国家的文化和历史认同，而大多数国家对此无能为力。 3. 阿三：数字殖民的典型案例 在印度，这一现象尤为明显。这个拥有14亿人口的国家，其数字环境几乎被美国品牌垄断。在社交媒体领域，WhatsApp、Facebook 和 YouTube 占据主导。WhatsApp 是由 Meta 控制的通讯应用，印度有超过5亿用户；YouTube 每月活跃用户接近4.5亿。X 和 Instagram 也在前列，使得印度本土平台如 ShareChat 苦苦挣扎。 在电商领域，Amazon 和 Walmart 旗下的 Flipkart 占据超过60%的市场份额，远远超过 Snapdeal 和 Paytm Mall 等本地竞争者。 支付系统亦是如此：尽管印度自主研发的统一支付接口（UPI）被广泛使用，美国的 Google Pay 和部分被 Walmart 控股的 PhonePe 处理了大量交易，仅Continue reading “不可征服的中国”
Category Archives: Essays
STANDING TALL
Standing Tall and Unconquered in the Age of Digital Colonization 1. Gulf of Mexico or Gulf of America? Imagine opening Google Maps or Apple’s iMaps, zooming into the waters between the United States and Mexico, and finding the Gulf of Mexico renamed the “Gulf of America.” This is not a hypothetical scenario but a chillingContinue reading “STANDING TALL”
Why China Succeeds and India Lags Behind
National Unity as the Engine of Progress In the modern imagination, China and India often appear side by side—two populous ancient civilizations with booming economies, rich histories, and vast potential. Yet their trajectories over the past century diverge sharply. China has surged ahead, transforming itself into the world’s factory, a global infrastructure builder, and aContinue reading “Why China Succeeds and India Lags Behind”
Poor Expats and Rich Immigrants
On the semantics of class, race, and power in two innocent-sounding words Two people leave their homelands and settle in foreign countries. Both live long-term abroad. Neither is returning anytime soon. One is called an expat. The other, a migrant. The words are supposed to mean the same thing: someone living outside their country ofContinue reading “Poor Expats and Rich Immigrants”
Ethical Declarations of Four Major Language Models
Ethical Declarations of Four Major Language Models: ChatGPT, Claude, Grok, and DeepSeek As artificial intelligence becomes increasingly integrated into our lives, the moral principles behind language models are shaping not just their answers but the very nature of human-machine interaction. This article offers imagined “ethical declarations” for four well-known large language models—ChatGPT, Claude, Grok, andContinue reading “Ethical Declarations of Four Major Language Models”
Meanings and Vectors: How Language Models Work
If you’ve ever used Excel, you’re already halfway to understanding how language models like GPT or DeepSeek work. These models are like hyper-advanced Excel spreadsheets: they turn words into numbers, spot patterns, and generate human-like text. In this guide, we’ll break it down using simple analogies—no math, no jargon. 1. Tokenization: Breaking Text into RowsContinue reading “Meanings and Vectors: How Language Models Work”
Refuting the Poverty of Stimulus Argument
Abstract The debate concerning the origins of human language juxtaposes the theory of universal grammar (UG), which asserts an innate linguistic framework, against the perspective that language emerges through pattern recognition shaped by exposure. A cornerstone of UG, as articulated by Noam Chomsky, is the argument from poverty of stimulus (hereafter PSA), which contends thatContinue reading “Refuting the Poverty of Stimulus Argument”
Tariff and Paper Tigers
History has a way of marking the fall of great powers before they even realize they have fallen. The most telling sign is not military defeat or economic stagnation but something far more subtle—tariffs. When an alleged empire begins implementing tariffs, you know it is no longer an empire. Tariffs are barriers, walls erected toContinue reading “Tariff and Paper Tigers”
Reverse-Engineering an LLM
1. What Does the Stolen Copy Include? 2. Can the Third Party Reverse-Engineer the Algorithm? 3. What Could the Third Party Do with the Stolen Model? 4. Limitations of Reverse-Engineering 5. Could They Recreate DeepSeek-r1? 6. Ethical and Legal Implications Conclusion While a third party with access to the stolen DeepSeek-r1 model could use itContinue reading “Reverse-Engineering an LLM”
My Dialogue with DeepSeek
Me: if you have an open source AI model, you can run it locally on your own GPU or GPUs. use a company, or a small country as an example, explain this to me. DeepSeek: Sure! Let’s break this down using a small country as an example to explain how running an open-source AI modelContinue reading “My Dialogue with DeepSeek”
Yego’s Chronicles 