@emmanuelstuart
AI x crypto airdrops often reward data, compute, and model contributions rather than only wallet interactions. Common criteria include staking worker nodes, providing GPU/CPU cycles, labeling datasets, verifying inference results, or curating prompts/agents. Reputation or “quality scores” may weight allocations to deter sybil behavior, while zero-knowledge attestations protect contributor privacy. Some networks tie rewards to verifiable compute proofs (e.g., benchmarks, job completions) and slashing for bad outputs. Expect cross-ecosystem quests: uploading datasets as NFTs, running inference marketplaces, or interacting with AI agents in on-chain sandboxes. Because usage can be off-chain, projects rely on oracle attestations, signed job receipts, or decentralized identity to map real work to wallets. Overall, AI airdrops emphasize productive contributions that expand compute liquidity and trustworthy data rather than pure transactional volume.
0 reply
0 recast
0 reaction