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Data is the new oil, and those who control massive amounts of it have a major competitive advantage. That advantage becomes exponential when that data is used to teach artificial intelligence. Companies such as Google, Facebook and Amazon have a far greater probability of building strong AI than smaller actors simply by the sheer amount of user data and metadata they possess. Let’s now envision an alternate reality where big data lives on public infrastructure and is accessible to anyone who wishes to use it for the purpose of teaching AI. Big data as a public resource could have the potential to enable vast amounts of innovation at the edges, far greater than that of a small set of incumbents building large centralized AI systems.

Topics discussed in this episode:

  • The issues which arise with big data centralization in the context of building artificial intelligence
  • How blockchain technologies could serve as the public data infrastructure for teaching AI
  • How an AI might gain financial dominance over humanity by selling art on a DAO
  • An update on Ascribe and BigchainDB
  • The IPDB network and what goals it hopes to achieve
  • The IPDB Foundation, its members and governance rules
  • The technical components of the IPDB network
  • Use cases and applications for a public decentralized global database

Links mentioned in this episode:

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