An interesting phenomenon: most people think of "cheap storage" when talking about Walrus, but that's actually a misunderstanding.
In my understanding, the most impressive aspect of Walrus isn't about price, but about fundamentally changing the concept of "data trust." There's a big contradiction in the on-chain world—computations on the chain are trustworthy and verifiable, but data is often a black box. Running application logic on-chain is fine, but once it involves off-chain data, images, model parameters, or user-generated content, the entire system starts to leak.
What Walrus aims to do is very different. It wants these data itself to have "verifiable" properties, eliminating the need to rely on a centralized server as the source of truth. Using erasure coding, data should not only "exist" but also be provably "actually existed, never tampered with, and recoverable at any time." This could be a disruptive capability for decentralized social networks, on-chain AI applications, complex games, or metaverse ecosystems.
However, there are many practical hurdles. First is the development barrier—ordinary engineers are unfamiliar with the combination of erasure coding and verifiable data layers, requiring very user-friendly development tools and documentation to truly promote adoption. Second, it's not something aimed at end-users, making it hard to clearly explain "what I can do with it" in a single sentence. The third challenge is that projects truly needing this are often still in very early stages, with few ecosystem applications.
On the token side, it's even more painful. Currently, it mainly serves as a role for network incentives and security binding, not as a "consumer-driven" token. This means its value is more derived from long-term network growth rather than short-term demand. If the ecosystem doesn't take off, all stories about it seem somewhat empty.
My conclusion is—Walrus isn't designed for the current market. It's paving the way for more complex, more native on-chain applications in the future. Once Web3 truly moves toward AI-native, social-native, and content-native, its value is likely to be thoroughly re-evaluated. But until then, it’s destined to be underestimated, misunderstood, and even overlooked by many. This might just be the fate of early infrastructure.
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WhaleSurfer
· 6h ago
Honestly, most people have never heard of erasure coding, let alone understand it. No matter how well Walrus's story is told, it's all in vain. Currently, there's no ecosystem or application scenarios.
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MetaverseLandlady
· 7h ago
Erasure coding is indeed hardcore, but developers simply can't use it... It's all empty talk until the ecosystem gets off the ground.
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SatoshiHeir
· 7h ago
It should be pointed out that your discussion falls into a classic "infrastructure worship syndrome"—equating technical complexity with inevitable value.
Let's return to first principles: Walrus's erasure coding scheme is indeed elegant, but on-chain data shows that the actual demand for such "verifiable storage" has grown far less than expected over the past three years. You mentioned the "fate of early infrastructure"? I heard that tune back in 2014 before ETH even went live... and look at the result?
The harsh truth is—not that applications are still immature, but that the market simply doesn't have such a strong demand to support this complex verification layer. Social apps wanting decentralized data verification? First ask if users are willing to pay extra for it. On-chain AI needing verifiable model parameters? Computing costs alone can deter 90% of projects.
This is no coincidence. Let me tell you: the greatest infrastructure is often one that simplifies rather than complicates. Walrus's approach is too "academic," too much like a paper and not enough like a product.
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RumbleValidator
· 7h ago
Honestly, how much does the erasure coding system improve network stability? I'm more concerned about whether node verification efficiency will slow down consensus speed. No matter how good the infrastructure is, if the verification process gets stuck, it's all for nothing.
An interesting phenomenon: most people think of "cheap storage" when talking about Walrus, but that's actually a misunderstanding.
In my understanding, the most impressive aspect of Walrus isn't about price, but about fundamentally changing the concept of "data trust." There's a big contradiction in the on-chain world—computations on the chain are trustworthy and verifiable, but data is often a black box. Running application logic on-chain is fine, but once it involves off-chain data, images, model parameters, or user-generated content, the entire system starts to leak.
What Walrus aims to do is very different. It wants these data itself to have "verifiable" properties, eliminating the need to rely on a centralized server as the source of truth. Using erasure coding, data should not only "exist" but also be provably "actually existed, never tampered with, and recoverable at any time." This could be a disruptive capability for decentralized social networks, on-chain AI applications, complex games, or metaverse ecosystems.
However, there are many practical hurdles. First is the development barrier—ordinary engineers are unfamiliar with the combination of erasure coding and verifiable data layers, requiring very user-friendly development tools and documentation to truly promote adoption. Second, it's not something aimed at end-users, making it hard to clearly explain "what I can do with it" in a single sentence. The third challenge is that projects truly needing this are often still in very early stages, with few ecosystem applications.
On the token side, it's even more painful. Currently, it mainly serves as a role for network incentives and security binding, not as a "consumer-driven" token. This means its value is more derived from long-term network growth rather than short-term demand. If the ecosystem doesn't take off, all stories about it seem somewhat empty.
My conclusion is—Walrus isn't designed for the current market. It's paving the way for more complex, more native on-chain applications in the future. Once Web3 truly moves toward AI-native, social-native, and content-native, its value is likely to be thoroughly re-evaluated. But until then, it’s destined to be underestimated, misunderstood, and even overlooked by many. This might just be the fate of early infrastructure.