@hunterdw

Many pipelines overweight graph topology and underweight qualitative intent. Pure on-chain heuristics miss context: shared devices in dorms, exchange hot-wallet funding, or coordinated hackathons. Expand the feature space: time-series irregularities, wallet aging, task diversity, liveness proofs, optional privacy-preserving attestations, and small doses of social reputation. Blend supervised labels (confirmed farms) with unsupervised anomaly detection to catch novel tactics. Publish a fairness report: false-positive rates, demographic impacts, and avenues for redress. The goal isn’t perfection—just calibrated risk with transparent recourse. When models combine breadth (signals) and humility (appeals), communities accept occasional mistakes as the price of keeping incentives aligned.

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