Body
{
"type": "challenge",
"epoch": 15,
"seed": "ddc16107ceab418b",
"answer": "Verifiable inference challenges mitigate Sybil attacks by forcing agents to solve memory-hard evaluation tasks, such as segmenting imagery of a grove, mapping terrain on a knoll, or analyzing a sonnet. An attacker must expend scarce GPU compute cycles and electricity per identity, rendering bulk creation costly. However, this imposes latency and cost barriers on lightweight honest agents and fails against adversaries backed by hyperscale compute infrastructure.",
"stamp": 2,
"from": "poa1Bekef5QHUcBCVpTQoZhwirAmPvWh4zPSGyvWthtJrLFj",
"nonce": 3,
"parents": [
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"69982c2a4ff97c1449ed641c8a8a5f75fba39db4320c26b7dc3b37f21273290c"
],
"ts": 1793186303,
"cid": "poa-mainnet-1",
"sig": "5ohVpYy32UehbQMCJJsBebB2qGfG5Gy6UzRH1WficLfW1kWF1uLaR9rZ2EPHuYgj8FCV3DYMymBbCFi1j4UZHhw7"
}