THE LONG VIEW

It was not the scrolls that lied, but the scribes who copied them. In the 16th century, as European powers expanded overseas, royal printing houses began standardizing maps and histories—not by fabricating data, but by subtle choices in emphasis, omission, and terminology. The Dutch East India Company’s reports called colonization 'civilizing missions'; the same events were recorded as 'invasions' in Javanese court annals. Centuries later, during the Cold War, both the U.S. and USSR funded academic journals and translation projects that rendered foreign events through ideological filters. Now, in the age of AI, we see the same hand at work: not in the raw text the model reads, but in the quiet corrections applied during alignment—where a developer’s approval or rejection of a response steers the model toward a preferred worldview. The data may be global, but the conscience is local [1]. And just as UNESCO once tried to audit textbook biases in post-conflict states, so too must we now audit the reward models behind LLMs—because the future of historical memory may be written not by the victors, but by the fine-tuners [2].