A farmer in rural India photographs a wilting crop, seeking answers online but blocked by a language barrier. She does not speak English, yet the internet's vast knowledge remains locked behind that single tongue. A nonprofit called Current AI aims to change that by building open, public AI infrastructure that works for everyone, regardless of language. Main Developments Current AI partnered with Bhashini, India's government AI language division, at the February India AI Summit. The collaboration produced Suno Sutra—Hindi for "listening chronicles"—a pocket-sized, offline device running AI in 22 Indian languages. No internet connection is required for operation, making it accessible in remote areas. Background India is home to hundreds of languages and dialects, yet most AI systems are built around English or a handful of dominant languages. Current AI CEO Ayah Bdeir noted that AI currently fails to represent this linguistic diversity. The open-source device invites developer communities to build upon the platform, expanding its utility. Read also: 2026 EV Exits: A Wave of Discontinued Models Reshapes U.S. Market Why It Matters Without language-inclusive AI, billions of non-English speakers risk being excluded from digital tools that could improve agriculture, education, and healthcare. Suno Sutra demonstrates a model where public infrastructure, not commercial interests, drives equitable access. The device's offline capability ensures connectivity gaps do not compound language barriers. What's Next Current AI plans to release the open-source design for broader community development and potential scaling to other multilingual regions. Further partnerships with governments or NGOs could expand language coverage beyond India. The project raises questions about how to fund and sustain such public AI infrastructure long-term.