Looking at Walrus's design approach, I feel a bit emotional.

It registers each piece of content as an independent Sui Blob, and atomic verification sounds very secure. But there's a problem: the way human brains store memories doesn't work like this at all. We remember things as a causal chain—events are interconnected, causes determine effects, and emotions build upon each other. For example, a video’s value isn’t in a single frame but in the complete narrative: why it started → how it evolved in the middle → what impact it ultimately had.

Walrus’s architecture forcibly cuts this chain into separate snapshots. Each Blob is an island, unable to claim causal relationships with others, and cannot express "this is a follow-up to the previous event." Want to tell a multi-act story on Flatlander? You can only post N different posts, each referencing different Blobs. But Sui’s DAG consensus doesn’t guarantee cross-object temporal order, so clients can sort arbitrarily. The result is a narrative that becomes an unordered collection of graphs, breaking the causal chain entirely.

A deeper limitation lies in the Move language itself. You cannot define a Story object that contains an ordered list of Blobs and guarantees the order remains fixed—because once an object reference is created, it cannot be changed. To dynamically add new content, you’d have to break atomicity, which is a dilemma.

So the final outcome is: Walrus indeed stores data well, but at the cost of turning history into a fragmented puzzle. When everything is atomized, memories die, and the truth quietly disappears into the gaps.