今 many people understand the combination of AI and Web3 as data on-chain, but the real issue is not storage, rather how to efficiently access and utilize it.
@0G_labs attempts to address data usability and accessibility. It provides a high-throughput data layer that allows data to be read and verified quickly, rather than becoming a bottleneck like traditional chains. The logic behind this is clear: AI requires a continuous data stream, not scattered state records. If data cannot be accessed efficiently, even the most powerful models cannot perform effectively. From a trader's perspective, the judging criteria for such projects are straightforward: whether developers are using it, and whether the data layer is being called frequently. Once the data layer becomes a bottleneck solution, the entire AI application ecosystem will gravitate towards it. @Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate @TermMaxFi
今 many people understand the combination of AI and Web3 as data on-chain, but the real issue is not storage, rather how to efficiently access and utilize it.
@0G_labs attempts to address data usability and accessibility. It provides a high-throughput data layer that allows data to be read and verified quickly, rather than becoming a bottleneck like traditional chains.
The logic behind this is clear: AI requires a continuous data stream, not scattered state records. If data cannot be accessed efficiently, even the most powerful models cannot perform effectively.
From a trader's perspective, the judging criteria for such projects are straightforward: whether developers are using it, and whether the data layer is being called frequently.
Once the data layer becomes a bottleneck solution, the entire AI application ecosystem will gravitate towards it.
@Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate @TermMaxFi