TRThe article discusses the growing influence of large language models (LLMs) and the concept of 'epistemic dependency'—a situation where societies rely on external models trained on foreign data and values. While LLMs are commonly seen as tools for generating text based on prompts, the author argues that their impact extends beyond mere utility, shaping societal understanding of the world. The article highlights concerns over digital autonomy, emphasizing that using foreign algorithms to analyze domestic data effectively transfers control over that data. The author warns that errors or biases embedded during the training phase of these models can become widespread, influencing areas like education, journalism, and public reasoning. Indigenous models, trained on local data and values, are presented as essential for maintaining sovereignty and reducing reliance on external systems.
Bias read (Center): The article presents a critical perspective on the implications of relying on foreign-developed large language models, focusing on issues of digital autonomy and epistemic dependency. However, it does not explicitly favor any particular political ideology or side in the discussion. Instead, it artic
