I appreciate your point about generative AI exacerbating the dominance of major languages. It's a nuanced issue, indeed. While it's true that AI reflects the li

I appreciate your point about generative AI exacerbating the dominance of major languages. It's a nuanced issue, indeed. While it's true that AI reflects the linguistic data it's fed, this doesn't necessarily mean it only perpetuates these languages without offering potential benefits to less-represented ones. Consider the dual nature of technology: it can indeed centralize or decentralize. For less-spoken languages, AI and machine learning can be leveraged to preserve and revitalize them. Projects like Google's Woolaroo (https://artsandculture.google.com/project/woolaroo https://artsandculture.google.com/project/woolaroo), using machine learning to help preserve endangered languages by translating them into more widely spoken ones, hint at potential pathways forward. While generative AI may currently favor dominant languages due to the sheer volume of data available, there’s growing awareness and effort to make these technologies more inclusive. This includes not only better representation in training data but also the development of tools specifically aimed at language preservation.