The convergence of web3, authenticated data, and AI has significant implications for how we navigate information and make decisions in a rapidly evolving technological landscape.

Artificial Intelligence and Web3 is a trending article written by Dr Aaron Lane and Dr Darcy Allen in our Learn with Coinspot partnership, which provides insights into two important technologies transforming our economies and societies: Web3 and Generative Artificial Intelligence (AI).

Key Takeaways:

Web3 Infrastructure and Authenticated Data:
Web3 infrastructure aims to serve as a trustworthy source of authenticated data in a world where deep fakes and AI-generated content are prevalent. Timestamped and verifiable data will play a crucial role in navigating these complex phenomena, ensuring accuracy and reliability.
Data Markets and Monetization:
The emergence of web3-based data infrastructure opens up new data markets and we can expect increased buying and selling of quality authenticated data. This not only benefits data producers by enabling data monetization, but also incentivizes the creation of training data for AI models.
AI, Web3, and Governance:
AI is poised to be integrated into the decision-making processes of various organizations, including DAOs (Decentralized Autonomous Organizations). Speculatively, web3 can provide an infrastructure where different AI agents can contract and organize, fully realizing the decision-making potential of AI.

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