Blockchains for Artificial Intelligence
summary
Claims that blockchains solve AI’s data problems get concrete here: IPDB and BigchainDB provide immutable audit trails and provenance; prototypes include an AV Dex prototype for autonomous-vehicle data and a car-pass ledger for vehicle history. Tools used are IPFS/Filecoin for blobs, MongoDB-backed BigchainDB, smart-contract layers, and token economics exemplified by the numeraire token and a 10,000-strong data scientist market. Numbers land the pitch: 500 billion to 1 trillion miles needed for self-driving training and ~40% fraud rate in diamonds.
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chapters (8)
- 0:00AI blockchain intro
- 3:10AI data effectiveness
- 13:45Decentralization vs AI stack
- 22:34Blockchain for AI data
- 30:45AI DAOs and agents
- 36:25Python blockchain integration
- 40:18Why blockchains help AI
- 41:28Q&A GDPR limits
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