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Eliza Labs Teams Up with Stanford University to Transform AI in Web3 Systems
Key Takeaways
- Eliza Labs and Stanford University partner to study how AI can build trust and improve Web3;
- The project uses Eliza, an open-source AI framework, to explore AI in DeFi systems;
- Research starting in 2025 will focus on AI trust verification and economic cooperation.
A partnership has been established between the developer team behind ai16z, Eliza Labs, and Stanford University's Future of Digital Currency Initiative to explore how artificial intelligence (AI) can improve Web3.
Announced on December 16, the collaboration will focus on understanding how AI agents can build trust, work together, and make decisions in decentralized finance (DeFi) networks.
Stanford’s Future of Digital Currency Initiative, which leads the academic side of this project, studies the technical, legal, and economic challenges of digital currencies.
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The project will rely on Eliza Labs’ open-source AI framework, called Eliza. It is a decentralized autonomous organization (DAO) that uses AI to guide on-chain trading and investment decisions.
Since its launch in October, the native token ai16z has grown to a market value of around $850 million. As of mid-December, Eliza-based AI tools are already being used across dozens of other projects, and ai16z manages about $15 million in assets.
Stanford professors Dan Boneh and David Mazières see this as a unique opportunity, stating:
This collaboration represents a unique opportunity to shape how AI agents will interact within digital economies.
Research efforts, set to begin in 2025, will focus on two main areas: creating systems that help AI agents verify trust in digital currency networks and studying how these agents cooperate in economic sectors.
While AI is driving progress in DeFi, its influence is growing in other sectors, too. Recently, US lawmakers introduced a bill to explore AI’s role in finance and housing. What could be their goal? Read the full story.