Albert Castellana, co-founder and CEO of Yeager.ai, shared his insights in a written interview with Bitcoin.com News on the convergence of AI and blockchain. He believes that integrating AI into blockchain can push decentralized applications (dApps) beyond simple static contracts, enabling "more subjective decision-making" and unlocking entirely new use cases.
Risks of Centralized AI
Castellana acknowledged the performance advantages of centralized AI but stressed its lack of transparency undermines trust. In contrast, decentralized AI allows multiple models and validators to participate in decision-making, reducing the risk of bias or manipulation. He emphasized that true decentralization must involve both computational and decision-making layers—multiple models reaching consensus on blockchain, akin to moving from a single judge to a jury.
Privacy vs. Utility
On user privacy, Castellana noted that most users choose utility over privacy, and better AI will encourage even more data sharing. However, he believes decentralized technology will eventually allow users to regain control over their data. Accelerating this shift requires public education, promotion of open-source tools, and advocacy for decentralized AI.
GenLayer: A New Paradigm for Smart Contracts
Yeager.ai's GenLayer is one of the first projects to integrate AI directly into a blockchain's consensus layer. It introduces Intelligent Contracts, an evolution of traditional smart contracts that can process non-deterministic inputs like natural language and images. Validators, each connected to different large language models (LLMs), collaborate to handle web-sourced data, enabling dApps to truly interact with the outside world.
Castellana outlined novel use cases enabled by GenLayer: Decentralized Autonomous Organizations (DAOs) can autonomously pull real-world data; parametric insurance becomes cost-effective with fast settlement; prediction markets operate in real-time without human oversight; performance-based contracts are escrowed, evaluated, and paid automatically. In DeFi, fee rates, liquidation levels, and emergency protocols can be managed autonomously based on external inputs.
Limitations and Advice for Developers
While decentralized AI offers transparency and security, Castellana admitted it lags behind closed-source models in performance. He considers this a necessary trade-off for reliability. For developers, he advises staying adaptable and embracing continuous learning, as AI and blockchain evolve rapidly. He also predicts that programming will shift toward "orchestrating systems"—managing various AI models, decentralized systems, and interfaces rather than writing code line by line. Finally, he encouraged developers to experiment with emerging technologies and seize fleeting innovation opportunities.