Why It Costs More to Talk to AI in Your Native Tongue

In this episode, Herman and Corn dive deep into the "Great Data Exhaustion" and the widening digital divide in artificial intelligence. While major frontier models seem like magic in English, speakers of "long-tail" languages face a "tokenization tax" that makes AI slower, more expensive, and prone to Western-centric hallucinations. From the grassroots efforts of the Masakhane project in Africa to the specialized architecture of models like Jais, we explore how the industry is finally being forced to look beyond the English-speaking bubble to ensure cultural sovereignty in the age of machine learning.