Language Access
Any language should be learnable
Large language models make it possible to build language-learning experiences for any language pair, including languages that major apps have ignored.
The old model left too many people out
For years, language apps have depended on hand-built curricula, recorded content, and human-authored exercises for every single language they support. That approach can work for the biggest markets, but it breaks down quickly once you move beyond the most commercially obvious languages.
If every course needs to be written, reviewed, recorded, localized, and maintained by people, then the economics naturally push companies toward a small set of high-demand languages. Everyone else gets a watered-down experience, a partial course, or nothing at all.
Large language models change that equation. If a model can speak the language someone already knows and the language they want to learn, then it should be possible to build high-quality learning experiences without requiring a fully hand-crafted curriculum for every language pair. That is a big shift in what becomes possible.
Why this matters to me
I want to learn Albanian so I can connect more deeply with my fiancee's relatives. That is a meaningful, personal reason to learn a language, but when I looked at the major apps, none of them offered a serious hand-crafted curriculum for Albanian. I was effectively told, by the market, that this language was too small to matter.
That gap is exactly why I started building my own AI-powered tools. I do not need a giant company to decide Albanian is worth supporting before I can get explanations, practice conversations, tailored vocabulary, and learning material that meets me where I am.
The deeper point is that this should not be unusual. Heritage learners, partners in multilingual families, immigrants, diaspora communities, and people reconnecting with culture all deserve better than being excluded because their language does not fit a content production business model. High-quality learning material should not be reserved for languages that are already commercially over-served.