Over the past few years, the Web3 industry has been pursuing the limits of performance. TPS, block time, Gas costs—each new chain is breaking new numbers.

But after actually working with AI development, you'll find that these metrics don't really solve the core issues. The bottleneck for AI isn't transaction speed, but data throughput.
An important idea from @0G_labs is to upgrade the blockchain from a transaction network to a data network. The data availability layer is responsible for high-speed data publishing, allowing developers to build AI applications on top of it.
This sounds very technical, but it's crucial for the industry. Because the essence of the AI ecosystem is data-driven; if the chain can't handle data, it will forever only be able to support financial applications.
From a user experience perspective, this kind of upgrade will gradually change many application forms. In the future, users might not even realize they are interacting with a chain when using AI tools, but the underlying computation and data verification will already be happening on the chain.
This change is actually very similar to the early days of the internet. Users didn't care about TCP/IP, but the entire network world was built on it.
@Galxe @GalxeQuest @easydotfunX @wallchain @TermMaxFi