Tether releases open-source AI translation models for African and European languages

Tether’s AI research unit just shipped something that has nothing to do with stablecoins and everything to do with the fact that most of the world’s languages are essentially invisible to modern AI. The company released an open-source neural machine translation model family called TranslatePsy-AfriSLM, covering 19 Sub-Saharan African languages with a dataset of roughly 215 million bidirectional training examples paired with English. The models are tiny. We’re talking 21 to 35 MB per language pair, small enough to run directly on a phone without ever pinging a server. That’s the point: translation that works offline, keeps data private, and doesn’t require the kind of cloud infrastructure that rarely exists in the regions where these languages are actually spoken. What Tether actually built The project, developed by Tether’s QVAC division, includes both the dataset and the translation models themselves. The dataset, called TranslatePsy-AfriSLM-Synthetic-Mix, is hosted on Hugging Face under a CC BY-NC 4.0 license, meaning researchers and developers can freely use it for non-commercial purposes. Languages covered include Swahili, Yoruba, and Amharic, among 19 Sub-Saharan African langu...