Tether Develops Infrastructure to Address Global Artificial Intelligence Inequality
To reduce disparities in the field of artificial intelligence, Tether is launching the TranslatePsy-AfriSLM model for African languages and the QVAC platform, which eliminates cloud dependency.
Aiming to reduce global inequalities in access to artificial intelligence technologies, Tether is developing new infrastructure solutions in the fields of finance, communication, neurotechnology, and artificial intelligence. In this context, the company offers open-source language models and systems that are not dependent on the cloud.
Global Inequalities in Artificial Intelligence
There is a distinct difference in AI adoption rates between the Global North and the Global South. Structural barriers such as cost, privacy concerns, and infrastructure deficiencies make it difficult for developing regions to fully benefit from this technology.
Open-Source Model for African Languages
Tether has developed an open-source artificial intelligence collection called TranslatePsy-AfriSLM, which supports 19 languages in Sub-Saharan Africa. With approximately 800 million parameters, this model runs on smartphones to provide educational materials to excluded communities in their own languages.
Transformation into an Infrastructure Provider
Tether CEO Paolo Ardoino emphasized that the company is no longer just a cryptocurrency provider. The company is building systems in the fields of AI, energy, and communication where humans and machines can work without intermediaries.
Cloud-Independent AI with QVAC
The developed QVAC platform provides a cloud-free artificial intelligence environment that gives users full control over their data. Free of subscription fees or data leak risks, this system eliminates dependence on centralized data centers.
Ability to Run Locally on Hardware
Open-source language models integrated through QVAC Fabric can run directly and be customized on everyday hardware such as laptops, smartphones, and standard graphics processing units.