The more I watch decentralized AI develop, the more I notice that the hardest problems are shifting away from models and toward institutions. Technical openness is valuable, but it doesn't automatically create trust or legitimate coordination.#OPG
That’s why projects like @OpenGradient catch my attention. A network that can host, run inference, and verify AI models addresses an important infrastructure gap. But infrastructure alone isn't governance. Someone still defines incentives, resolves disputes, and determines whose outputs become trusted over time.
Crypto has repeatedly shown that decentralization is as much a social process as a technical one. If AI follows the same path, then credibility will depend less on code and more on how participation, accountability, and decision-making evolve. I'm not sure we've solved that yet, and that uncertainty may be the most important signal to pay attention to.
@OpenGradient $OPG
That’s why projects like @OpenGradient catch my attention. A network that can host, run inference, and verify AI models addresses an important infrastructure gap. But infrastructure alone isn't governance. Someone still defines incentives, resolves disputes, and determines whose outputs become trusted over time.
Crypto has repeatedly shown that decentralization is as much a social process as a technical one. If AI follows the same path, then credibility will depend less on code and more on how participation, accountability, and decision-making evolve. I'm not sure we've solved that yet, and that uncertainty may be the most important signal to pay attention to.
@OpenGradient $OPG