Another important aspect is independence from infrastructure. Working without the internet opens up opportunities for using AI in conditions of limited or unstable connectivity. This is especially relevant for mobile devices and regions with low network availability. At the same time, this approach fits into the broader trend toward decentralization of technology. If previously computing power was concentrated in data centers, now it is gradually distributed among user devices. AI becomes not just a service but an embedded function. However, local models also have limitations. They lag behind cloud solutions in computing power and scalability. This means that complex tasks will still require server infrastructure. Nevertheless, hardware development is gradually closing this gap. The Tether initiative shows that the future of AI could be hybrid: some tasks will be performed in the cloud, and others directly on devices. In this scenario, users have a choice between the convenience of centralized services and control over local solutions. Ultimately, QVAC is not just a tool for developers but a signal of a possible industry turnaround. Artificial intelligence is gradually moving beyond data centers and becoming closer to the user—literally at the level of their own device.#GateSquareAprilPostingChallenge