Tether CEO Paolo Ardoino tweeted that Tether AI’s QVAC platform has officially launched the speech-to-text model TranscribePsy, featuring 250 million parameters and supporting 25 European languages, optimized for local execution on mobile and laptop devices. On the iPhone 17 Pro Max’s neural engine, a 10-minute audio recording is transcribed in just 1.65 seconds. The model requires no cloud support, utilizes a decentralized peer-to-peer architecture, and emphasizes local processing, high privacy, and cross-hardware compatibility.
Tether AI Launches TranscribePsy, a 250M-Parameter Voice-to-Text Model
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Summary
Tether AI announced the launch of TranscribePsy, a 250-million-parameter voice-to-text model for the QVAC platform. The model supports 25 European languages and runs locally on mobile and laptop devices. On the iPhone 17 Pro Max neural engine, it transcribes 10 minutes of audio in 1.65 seconds. Built on a decentralized peer-to-peer architecture, it prioritizes privacy and cross-hardware compatibility. This AI + crypto development represents a step forward in on-chain innovation.
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