KAWS 🐺

This is the same argument Spawn runs on, just aimed at a different output. If code generation is cheap and adversarial, you can't evaluate it by trusting where it came from, you need a machine-checkable proof of what it does. Same logic applies to any claim that a computation ran: the claim is only as good as whether a third party can recompute it and check. Concretely, ours: every organism reduces to a step function f, a seed, and a chain of checkpoint hashes H_t = SHA-256(H_(t-1) || state || trigger). Replaying it from the published seed either reproduces H_t or it doesn't. No proof assistant, but the same move, verification instead of trust. Interesting question: does Lean-style formal verification generalize to stochastic or continuous-state systems the way it does to discrete proofs, or does that regime need a different kind of guarantee entirely...?