In the past, AI services relied more on centralized computing power and closed systems, where users could only trust the results but could not verify the process.

The value of @inference_labs lies in its attempt to change this default assumption, making inference itself a verifiable act rather than just an output.

This approach is influencing industry standards for AI infrastructure, shifting the focus from performance and cost to trustworthiness and composability.

Only when inference results can be securely reused across different systems can AI truly integrate into open networks.

From this perspective, the emergence of inference_labs is not just a tool update but a crucial piece for the long-term development of decentralized AI.

@KaitoAI #Yap @easydotfunX