Tether’s Paolo Ardoino Makes Case for Small On-Device Translation Models
Tether CEO Paolo Ardoino has turned the spotlight on a very different corner of artificial intelligence: translation that happens entirely on-device, without sending sensitive text to the cloud. In a recent post, Ardoino framed the issue around privacy, speed, and practicality. His point was simple enough, but it touches a problem that millions of users encounter every day. When someone translates a medical note, a private message, a legal contract, or even a personal journal entry through a cloud service, that text leaves the device and enters someone elses infrastructure. In many cases, users do not fully know where the data goes, how long it is retained, or who may be able to access it. Ardoino argued that this is not just a theoretical concern, but a real one, especially in use cases where confidentiality matters. According to Ardoino, the answer is not to rely on larger and larger general-purpose AI models. Instead, he argued that translation is one of those jobs where small, dedicated models can beat “Goliath.” In his view, if the task is translating one language into another, there is no need to use a massive model that can also write poems, summarize articles, and perform a dozen unrelated tasks. For
