Why the Future of AI Depends on Blockchain
summary
Argues that decentralizing AI requires onchain provenance, immutable audit trails and economic incentives rather than central silos; describes a technical fix that moves from monolithic Web3 to a modular data availability layer using erasure coding and validity proofs so models need not broadcast full data, claiming fastest modular AI chain throughput of 50 GB/s per consensus layer and cost parity with AWS; testnet activity shows 100,000 faucet hits per day and a $35M seed raise, with the prototype live and validators limited.
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