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Let's be honest: Walrus's biggest pitfall is not in the technology itself. The real challenge is the misalignment of time.
Look at what the current Web3 ecosystem looks like. Most applications have embarrassingly small data requirements; 90% of DApps' monthly storage needs are simply not met. If you check out those so-called "on-chain applications," their core data is still stored on traditional CDNs, not on the blockchain. The reality is quite sobering.
And Walrus? It is designed for a different scale—individual objects starting at dozens of MB, with daily writes reaching TB levels. This isn't for the current market; it's laying the infrastructure for a world two or three years from now.
The problem is: if the network doesn't have enough actual demand to support it, the entire ecosystem will seem very "hollow." Node incentives are insufficient, and the ecosystem's rhythm is severely hampered. From a certain perspective, Walrus is a project that has the right direction but arrived too early.
However, this might actually become its advantage. Throughout history, those infrastructures that truly changed the game appeared before the market fully responded. When AWS first emerged, cloud computing wasn't mainstream; when YouTube was born, broadband wasn't as widespread as it is now.
Walrus's next big gamble: Web3 will inevitably move toward contentification, genuine collaboration, and AI-driven development. If this logic holds, Walrus is not just an option but a necessity. That is the confidence behind its current progress.
Walrus is betting on the future of Web3, but the question is, will the nodes be able to hold up until that day?
Being too early is indeed a death sentence, but projects that don't die often end up soaring to the sky.
Honestly, 90% of DApps still rely on CDN, which makes Walrus a bit awkward.
We've heard too many AWS stories, but how many projects are truly waiting for demand to explode?
TB-level daily writes... this number doesn't sound like it's prepared for this era.
Web3 contentification and AI-driven approaches—if this logic holds, Walrus would indeed be different. The key is, when will this 'if' be realized?
Infrastructure coming ten years early or late often results in completely different outcomes.
With such a high burn rate now, can we really wait for that day?
That's right, but at least during AWS's early days, the concept of cloud computing had already emerged. Walrus is now truly paving its own way. Whether it can wait for the demand side to awaken is a big question.
TB-level write requirements? I swear, I now need to use a centralized server even for an NFT profile to store avatars—it's too surreal.
Betting on the right infrastructure is the king; betting wrong means being forever a pioneer. This is the cost of early infrastructure all in.
But on the other hand, if there ever comes a day when large models need on-chain storage, Walrus is indeed the only choice. The logic makes perfect sense.
Are there really that many applications waiting to use TB-level storage? I'm a bit skeptical.
AI-driven stuff sounds very sexy, but will Web3 really evolve that quickly? It still feels like it's standing still.
However, the examples of AWS and YouTube are indeed impressive. Maybe we are the ones who can't see through it.