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Recently, I’ve noticed some changes regarding the Kaito API. As a holder of sKaito, I feel somewhat sentimental. This project has made significant pioneering contributions in the InfoFi space, but I’ve always been cautious about the "play-to-earn" approach, and I rarely participate.
Honestly, when I first saw "play-to-earn," I immediately thought of how it resembles the "Play2Earn" of Axis back in the day and the "Move2Earn" of StepN. Their starting points are quite idealistic: Play2Earn aims to make players shareholders, while "play-to-earn" wants content contributors to directly capture value. Essentially, both are about monetizing "behavior."
The problem lies here—anything that can be scaled will inevitably be industrialized. Starting from the profession gold farming studios in World of Warcraft, to various script bots in Web3 X2Earn projects, and now in the "play-to-earn" phase with AI batch account creation and multi-user matrix operations, this logic has been repeatedly played out. The reason "play-to-earn" can’t sustain isn’t because clever retail investors or KOLs have ruined it, but because the property of "reproducibility" itself defeats it. This isn’t just a problem for Kaito; it’s basically the fate of all incentive systems.
From a certain perspective, the recent API changes are indeed unfavorable for arbitrage groups, but for the entire InfoFi ecosystem, it’s more like a forced stop-loss. At least our information flow will no longer be overly polluted by low-quality AI content—which, for those who are serious about content creation, is actually a form of cleanup.