If there truly is an AI-native Web3 world in the future, what will its underlying infrastructure look like? 0G CEO Michael identified three key layers: Data Availability (DA) → Agents must be able to coordinate in real time, much like a whiteboard visible to everyone in a meeting. Computation Layer → Not only must it be able to run inferences, but the results must also be verifiable by others. Index Layer → Equivalent to memory and context recall, it helps agents remember past actions. Otherwise, they'd have to start from scratch every time. @michaelh_0g also offered an interesting perspective: The future of AI will not be dominated by a single, overarching model, but by thousands of small agents collaborating like a swarm. These small agents, while independent, can exchange data and divide tasks, forming swarm intelligence. The resulting communication and processing requirements are even greater than those of a single, large model. 0G @0G_labs' approach uses a multi-consensus data availability layer combined with GPU acceleration to ensure that this type of group collaboration isn't hindered by performance limitations. Many people now believe that larger models are smarter, but in a decentralized environment, a single super-brain isn't realistic. What's more in line with the spirit of Web3 is the distributed collaboration of countless lightweight agents, just as the security of a blockchain network is maintained by countless nodes, not a single supercomputer. Thus, the future of AI in Web3 will likely not be a single breakthrough, but rather the rise of collective intelligence.