Recently, a bunch of people around me have been raving about AI projects,

Each PPT is more exquisite than the last, but when it actually runs, it's either relying on centralized computing power or closed-source algorithms.

After seeing so much, only @Talus_Labs caught my eye.
It is not about creating "AI tools", but rather building a system that allows AI to compete, verify, and earn on the blockchain.

Each agent can make its own decisions, compete, and even be audited.
While others are still talking about how AI can "help you", Talus is already teaching AI to "live on its own".

Recently, I saw a detail from @Talus_Labs that shook my mind: the Walrus team stated that it will be responsible for carrying Talus's "historical memory / state data / contextual storage," while the Sui layer will be responsible for the execution and coordination of agents. This is not just a simple division of roles, but a kind of architectural philosophy: splitting the data layer & execution layer.

This is how a city conqueror understands:

If you put everything on-chain: reasoning, storage, state management... the cost and latency are almost unbearable. The design of Talus is to allow agents to have long-term memory, but the memory is not on the main chain; the main chain is only responsible for coordination + verification. This is the only way to support a truly scalable AI agent ecosystem.

The key going forward is not "who builds the model first," but rather "who can make the workflow, tool invocation, and state evolution of the agent into composable modules." Talus's Nexus architecture provides direction: tool plug-in, process disassembly, and the ability for agents to invoke external interfaces. This means that agents are no longer isolated black boxes, but have "ecological interfaces."

So what I want to say now is: to write about Talus, it’s not necessary to start from common points like financing / Testnet, but rather to tell the story from the perspective of "data layer decoupling + agent modularization." That’s a viewpoint that others may not pay much attention to, but it’s rich in substance.