Generative Data Intelligence

How AI, Web3 and humans can work together to solve complex, global problems

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AI, Web3’s Role

This vision actually wouldn’t be possible without both AI and Web3. We need the Web3 part for governance, for the financial aspect, for the coordination tooling. All of the AI’s actions are onchain, membership of the group and donations are managed via blockchain tooling, and it can work directly with the DAO treasury to carry out transactions with total transparency. AI can streamline every part of the process of running the Curing Cancer DAO, as long as it is working alongside expert humans and with oversight and transparency assisted by blockchains. If it’s all on a blockchain, we can monitor risk and manage trust much better than we can even in today’s primarily social systems.

This is a very high level example, but I hope it prompts us to think in an optimistic direction about how we can become more effective at problem solving when we use AI and Web3 creatively. We will be able to scale up a lot of things that have been too complicated to manage just socially, or just with top-down command and control, or just with blockchains. This decentralized science community-building example could also apply to any global coordination problem or research effort.
None of these technologies are as interesting in isolation as they are when combined: It’s not about AI doing whole jobs themselves, but rather, about it doing what we are bad at, and helping us coordinate and do it faster. We will start to see some powerful experiments emerging in the next few years if we focus on productive building with proactive risk management, instating checks and balances that maximize the best of human and tech participants in service of a shared mission.

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