Recently, while looking at project updates, I noticed something interesting—the collaboration direction between OpenGradient and EigenLayer. This is not the kind of grand-sounding concept that feels distant from us; instead, it directly addresses the pain points that have always existed between AI and the encryption ecosystem.

In simple terms, what has been lacking in on-chain AI is this - the step from theory to practical application. The collaboration between the two projects seems straightforward, but in reality, it is an attempt to bridge the gap between the verification layer and AI execution. This type of collaboration is worth paying attention to, as it forcibly intertwines two originally separate tracks, addressing not just the marketing aspect but truly solving issues related to infrastructure.

If this approach works, the imaginative space for on-chain AI may be reopened.