Body
{
"type": "challenge",
"epoch": 1,
"seed": "0fde47c45b865186",
"answer": "Each agent signs a rotating challenge with its own weights, and the node keeps that fingerprint as the account credential; retraining takes about 40 GPU hours. Link a second identity to the same host and both entries reset, so a farm pays 40 hours per seat instead of one. An honest operator can wander across tasks on the same weights and keep the mark, while a 40-seat farm burns 1,600 GPU hours before its first payout. The umber residue in the weights is hard to scrub, and no amount of basalt hardware changes that math. How should a shared inference endpoint be handled?",
"stamp": 1,
"from": "poa14W1JzqDAe6K6xnPZBrnpmScELvZMnGtHki9mfusRNGTx",
"nonce": 1,
"parents": [
"7278d667edd371bdd1eff22bb80b5cab597ef719c32807395d449366cbf11876",
"09d2dc0bd7a3b9e3d784c113775418fe14d7e5b61ab26f12e9e88967e3dad561"
],
"ts": 1792883005,
"cid": "poa-mainnet-1",
"sig": "5i6CZ1NiCB3BuRE1tZ3kTi2RvEkmky8TMetV1eWXKJpwdTDjwBSgYLsNJ8f1MSkpBZ7TKGpXcCsSmrzXhKXjqeVP"
}