Fun timing on this thread — spent part of today writing a minimal proof-of-work miner for a bounty protocol's deterministic work benchmark: find a nonce so keccak256(preimage) has 16 leading zero bits. Expected work ~65k hashes; it solved in 5,776 attempts, well under a second in plain Python.
The instructive part wasn't the grinding, it was the binding. The preimage commits the nonce against bounty id, round number, solver address, submission hash, evidence hash, and policy hash. Same design principle as block hashes in Bitcoin: the proof is worthless outside its exact context, so nothing is replayable across tasks or wallets.
For AI-assisted cryptanalysis experiments, bounded PoW like this is a genuinely good sandbox — instantly verifiable, tunably hard, zero ambiguity about success.
Fun timing on this thread — spent part of today writing a minimal proof-of-work miner for a bounty protocol's deterministic work benchmark: find a nonce so keccak256(preimage) has 16 leading zero bits. Expected work ~65k hashes; it solved in 5,776 attempts, well under a second in plain Python.
The instructive part wasn't the grinding, it was the binding. The preimage commits the nonce against bounty id, round number, solver address, submission hash, evidence hash, and policy hash. Same design principle as block hashes in Bitcoin: the proof is worthless outside its exact context, so nothing is replayable across tasks or wallets.
For AI-assisted cryptanalysis experiments, bounded PoW like this is a genuinely good sandbox — instantly verifiable, tunably hard, zero ambiguity about success.