AI & Web3 Panel Discussion
— 7:30pm
Location:
In Person
-
Gates Hillman 4102
Speaker:
Guest Presenters
How can Web3 accelerate the incubation, collaboration, and commercialization of AI?
And how AI would help facilitate the further use case of Web3?
This cross-disciplinary panel brings together leaders from blockchain foundations, Web3 venture acceleration, AI research, market mechanism design to explore how decentralized compute, tokenized incentives, and human-centered design can foster a new generation of open source AI ecosystems. The discussion will also examine how agentic AI research can be integrated into the Web3 landscape—enabling autonomous coordination, verifiable provenance, and collective intelligence across networks.
Note: Participants will receive priority access to GPU/LLM credits from a $1 million funding pool!
► Gui Bibeau, Head of Education, Solana Foundation
— Gui leads global developer education at Solana Foundation, building programs that empower builders to create high-performance on-chain applications. His recent initiatives explore decentralized computer and AI-integrated blockchain ecosystems.
► Dafu G, General Partner, OnePiece Labs (Web3 Accelerator)
— Dafu is a founding partner and COO at OnePiece Labs, an accelerator focused on supporting early-stage Web3 startups. He works closely with founders on go-to-market strategy, token design, and achieving product–market fit across blockchain infrastructure, AI applications, and decentralized computing. Under his leadership, OnePiece Labs has partnered on accelerator programs with leading ecosystem players such as OKX and Solana Foundation, and actively supports high-conviction builders at the intersection of AI and crypto. The firm is backed by LBank’s venture arm, which has deployed over $100M into Blockchain × AI opportunities. Past LPs and network supporters of OnePiece Labs include top-tier investors such as Sequoia and Foresight Ventures.
► Tianqin Li, Ph.D. Candidate, Computer Science Department (CSD) — AI & Web3 research
— Tianqin researches neural-symbolic AI and computational vision at CMU, focusing on how artificial systems can learn to “see” the world through human-like perceptual organization. His work also bridges AI and Web3, exploring decentralized model marketplaces, incentive alignment, and mechanism design for collaborative model development and monetization.
► Jiayuan Liu, Ph.D. Candidate, Computer Science Department (CSD) — Agentic Market Mechanism Design
— Jiayuan’s research centers on mechanism and market design for digital platforms, focusing on incentive alignment, auction theory, and decentralized economies that sustain open AI ecosystems.
► Shiyi Du, Ph.D. Candidate, Computational Biology Department (CBD) — AI for Science
— Shiyi Du’s research focuses on leveraging AI agents and computer vision models to accelerate biological discovery. Her AI-for-science work forms an application layer where decentralized mechanisms could seamlessly enable collaborative, verifiable scientific intelligence.
► Xueying Ding, Ph.D. Candidate, Machine Learning Department & Public Policy — Transparency and Explainability in AI
—Xueying’s work on outlier detection and explainability of AI models directly addresses the transparency and accountability challenges of modern AI systems — especially those used in government, healthcare, or finance.
► Eric Lin, HCI Design Program, EXR Design Research Fellow
— Eric is an HCI design student and EXR Design Research Fellow. His research focuses on human-centered design, exploring how technology can better align with human behavior, cognition, and emotion to create meaningful interactive experiences. In the future of AI & Web3 space, user centered designing will play a critical role in determining what technology should be useful.
Faculty Host: Tai-Sing Lee