
tl;dr
Tether announced the upcoming launch of QVAC (QuantumVerse Automatic Computer), a decentralized development platform for locally operating AI agents, targeting a full release in Q3 2025. The platform will focus on peer-to-peer AI agents running on personal devices without relying on external servers...
Tether has announced the upcoming launch of QVAC (QuantumVerse Automatic Computer), a decentralized AI agent development platform expected to be fully released in Q3 2025. This innovative platform focuses on enabling AI agents to operate locally on users' personal devices, eliminating the need to connect to external servers. By leveraging a modular architecture, QVAC aims to facilitate peer-to-peer collaboration among developers while maintaining decentralization.
Before the full launch, Tether plans to release several QVAC-based AI applications for public use. This initiative underscores Tether's commitment to decentralizing AI development, inspired in part by recent advances like DeepSeek, a Chinese AI model notable for its ability to run large language models locally with modest hardware requirements.
Paolo Ardoino, Tether’s CEO, highlighted the ambition behind QVAC, emphasizing its goal to empower individuals with sophisticated AI tools running entirely on personal devices. The announcement came amid a broader comeback of crypto AI agents, signaling Tether's strategic entry into the AI agents market after months of investment despite bearish market trends.
QVAC’s architecture prioritizes peer-to-peer contact, focusing on small-scale developers collaborating without centralized servers. This approach could reshape the AI landscape by promoting accessibility and decentralization. The company promises to share more technical details in Q2 2025, providing clarity on this ambitious project before its full rollout.
If successful, QVAC could represent a significant milestone in global AI development, enabling niche AI agent deployment at the device level and expanding the potential for decentralized artificial intelligence applications.