I'm skeptical about creating multiple centralized AI safety institutes across different regions. While this approach might seem to address some concerns about diversity, it still carries significant drawbacks: 1. Resource competition: Multiple large institutes could lead to unnecessary duplication of efforts and wasteful competition for limited resources, researchers, and funding. 2. Regional biases: Having separate institutes in different regions might actually reinforce regional biases and approaches rather than fostering true global collaboration. 3. Coordination challenges: With multiple centers, we'd face increased coordination difficulties, potentially leading to fragmented research agendas and inconsistent safety standards. 4. Geopolitical tensions: Regional institutes could become pawns in geopolitical power struggles, hindering open collaboration and information sharing. 5. Overlooking smaller players: This approach might still marginalize smaller countries and institutions not directly associated with these major regional hubs. Instead of creating a few large institutes, I believe we should focus on building flexible, decentralized networks that can adapt more quickly to the rapidly evolving AI landscape while truly leveraging global diversity in thinking and approaches.