Been diving into the mechanics of AI autonomy lately, and it's fascinating how quickly these pieces are fitting together. Particularly intrigued by selective zero-knowledge proofs—you can validate the critical components of a model's computation without the performance overhead that typically comes with proof generation. It's like being able to verify exactly what matters while keeping the system responsive. The efficiency gains here could be substantial for on-chain model verification and autonomous agents operating in constrained environments. The convergence of ZK tech with AI infrastructure is opening up some interesting possibilities for trustless model execution.