Web3 Struggles to Compete in Advancing AI Infrastructure
Web3-AI is struggling to gain traction in the rapidly evolving AI landscape. Key points include:
- Web3-AI has not established itself as a viable foundation for new AI systems, risking irrelevance.
- The innovation within Web3-AI often focuses on superficial trends rather than essential infrastructure.
- Web3 lacks continuity with previous technological advancements critical for current AI breakthroughs.
- It fails to provide the four fundamental pillars of modern AI: data, compute, models, and research talent.
- The gap between Web3 and Web2 in AI capabilities is widening, with Web3 passive during major milestones.
- Centralized AI ecosystems dominate, posing risks of Web3 becoming irrelevant unless it accelerates development.
- Some efforts are underway to address foundational issues, but they remain rare.
Web3-AI must prioritize building core capabilities to avoid falling behind in the AI revolution.