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Walrus is for apps that carry real content not just transactions. Many people think Web3 is just about token transfers. But most real apps need files, images, videos, documents, and even large datasets. That’s where Walrus comes in. It focuses on decentralized storage for large “blobs” of data, so apps don’t have to rely on a centralized server. The benefits are pretty clear: fewer single points of failure and long-term access. But there’s a hard rule about storage systems that if they’re not reliable, nothing else matters. Walrus needs to show stable uptime and smooth file retrieval in real-world use. If it can do that, it becomes a practical tool for developers. If not, developers will stick with simpler centralized options. @Walrus 🦭/acc #walrus $WAL
Understanding Walrus Protocol: A Perspective on Decentralized Data Infrastructure
As decentralized applications continue to expand, the need for reliable and scalable data availability has become increasingly important. Walrus Protocol is designed to address this challenge by offering a decentralized approach to data storage and accessibility within Web3 ecosystems. Rather than relying on centralized providers, Walrus focuses on distributing data availability across a decentralized network. This can help improve resilience, transparency, and efficiency for applications that depend on consistent access to large volumes of data. For developers and users alike, such infrastructure plays a key role in supporting long-term ecosystem growth. From a broader perspective, protocols like Walrus highlight how Web3 infrastructure is evolving beyond simple transactions toward more complex, data-driven use cases. Exploring these foundational layers helps users better understand how decentralized systems may continue to develop in the future. @Walrus 🦭/acc #walrus $WAL
While exploring decentralized infrastructure projects, Walrus Protocol stood out to me for its focus on efficient and scalable data availability.
Walrus is designed to support modern Web3 applications by enabling reliable storage and data access without relying on centralized systems. This approach feels increasingly important as on-chain activity continues to grow.
Curious to see how projects like this evolve within the broader ecosystem.
If you think about the rise of modular blockchains, you might wonder where all that history actually goes once a transaction is finalized. While execution happens in a flash, have you ever considered that the evidence of those actions needs to last for decades if we want a truly trustless financial system? If you consider the role of a rollup or a decentralized game, the most important asset is not today speed but the ability for anyone to audit the past without asking a central authority for permission. Walrus treats data not just as something to be stored for convenience, but as critical security infrastructure that must be provably available at all times. If you think about it, a system that only stores data for a short time is like a library that recycles its books every month, leaving no record for future readers to verify. By focusing on durability, Walrus provides the persistent memory that allows modular stacks to scale without sacrificing their core security promises. This ensures that even years from now, a user can still reconstruct their state and exit a system safely because the foundation was built to remember what the rest of the world might have forgotten. @Walrus 🦭/acc #walrus $WAL
#walrus $WAL If you think about the rise of modular blockchains, you might wonder where all that history actually goes once a transaction is finalized. While execution happens in a flash, have you ever considered that the evidence of those actions needs to last for decades if we want a truly trustless financial system? If you consider the role of a rollup or a decentralized game, the most important asset is not today speed but the ability for anyone to audit the past without asking a central authority for permission. Walrus treats data not just as something to be stored for convenience, but as critical security infrastructure that must be provably available at all times. If you think about it, a system that only stores data for a short time is like a library that recycles its books every month, leaving no record for future readers to verify. By focusing on durability, Walrus provides the persistent memory that allows modular stacks to scale without sacrificing their core security promises. This ensures that even years from now, a user can still reconstruct their state and exit a system safely because the foundation was built to remember what the rest of the world might have forgotten. @Walrus 🦭/acc
If you think about the lifespan of a network once the initial incentives cool off and the early excitement begins to fade, you are actually considering the most important test of any digital infrastructure. Many storage systems do not fail because of technical glitches but because the math stops working for the people running the nodes as data piles up and rewards flatten out. If you consider why a model that pays purely for storage size often results in a winner-take-all environment, you will see that it naturally favors those with the most hardware, eventually forcing smaller participants out. Walrus shifts this dynamic by rewarding consistency and reliability over simple capacity, ensuring that nodes are incentivized to stay online even during the quiet and boring periods when nobody is watching. If you think about why a builder might prioritize this kind of stability over a platform that only offers high throughput, the answer lies in the need for predictable costs that do not explode when the network becomes congested. By treating data availability as a first-class security requirement rather than a background service, the system provides a foundation that remains accessible long after market narratives have shifted. Ultimately, if you consider that the value of information is tied to its persistence, then an economic model designed for durability becomes the only way to support applications intended to last for decades. @Walrus 🦭/acc #walrus $WAL
You don’t notice storage when it’s working correctly.
The real test comes months after a project launches, when the initial excitement fades, the team size shrinks, and the application relies on steady operation rather than constant bursts of energy. Imagine a user opening their digital wallet, selecting an NFT, and instead of seeing the intended image or video, they're met with a blank placeholder. This isn't due to a security breach or a disruption on the blockchain; it's simply that the content itself is missing. The record of ownership remains intact, but the associated asset has vanished. This type of "silent failure" represents a common broken promise in the Web3 space. We've become proficient at verifying ownership, but surprisingly careless about ensuring that digital assets remain accessible and available. Walrus was developed because this gap isn't merely a minor inconvenience; it's a fundamental architectural flaw. This leads to the primary reason Walrus feels more like essential infrastructure than a simple cloud alternative: it doesn't offer a more visually appealing place to keep files. Instead, it redefines what storage means within a system that doesn't rely on central authorities. The infrastructure benchmark: can you build reliable expectations upon it? Most storage services are presented as destinations: "Bring your data here." Infrastructure, however, operates differently. It functions as a system of constraints – a set of guarantees and defined failure conditions that developers can design around. While cloud storage is highly dependable, its reliability is primarily based on agreements. The provider dictates the rules, pricing structures, limitations on usage, account restrictions, geographical considerations, compliance standards, and the procedures for handling security alerts. This isn't a criticism of cloud services; they are optimized for businesses that can enter into contracts and escalate issues through support channels. However, applications built on Web3 principles cannot operate on a ticket-based support system. They require storage solutions that function more like a public utility: possessing predictable behavior, built-in resistance to censorship, and a system of cryptographic accountability rather than human customer service. Walrus is designed as a decentralized network for storing large data objects, such as media files, datasets, machine learning models, and application states. Its goal is to ensure these can remain accessible with verifiable guarantees. It utilizes Sui as a framework for coordination and management, avoiding the need to create an entirely new blockchain solely for storage-related functions. The concept of a "control plane" is the second key factor contributing to Walrus's infrastructural feel. Separating the control plane and data plane fundamentally changes the approach. Walrus avoids attempting to store large files directly on a blockchain. Instead, it clearly divides responsibilities: Sui serves as the control plane, housing the logic for managing the data's lifecycle, coordinating operations, handling incentives, and verifying data integrity. Walrus acts as the data plane, the network responsible for the actual storage and retrieval of the data objects. This division is significant because it transforms storage from an external dependency into an element that an application can actively manage and reason about. When you upload a data object to Walrus, it's not merely placed "somewhere." Its entire lifecycle is managed through interactions with Sui. This includes registration, allocation of resources, data encoding, distribution across the network, and finally, the issuance of an on-chain Proof-of-Availability (PoA) certificate. This certificate provides a stronger assurance than a simple confirmation of a successful upload. This behavior is characteristic of infrastructure: it generates state that the system can interpret, rather than solely relying on the operator's perspective. The third reason Walrus feels like infrastructure is that it doesn't treat "availability" as an abstract concept or a matter of luck. Many discussions about decentralized storage inadvertently incorporate a Web2 assumption: if someone is hosting the data, it will likely still be there tomorrow. However, "likely" is not a guarantee; it's an uncertain outcome. Walrus aims to replace this "mood-based availability" with a concrete mechanism: incentivized proofs of availability. This means data isn't just stored; it's continuously proven to be stored through random challenges. If you've ever developed an application where missing images led to support requests, you understand why this is more than just a technical detail. Availability directly impacts user experience. When it's unreliable, every aspect of the product becomes fragile. Red Stuff: Achieving resilience without the excessive cost of full replication. Many people associate "erasure coding" with complex mathematical calculations related to performance. However, Red Stuff – Walrus's two-dimensional erasure coding design – addresses a more practical concern: the cost and efficiency of data recovery when network nodes change and real-world issues arise. The Walrus documentation clearly outlines the fundamental trade-off in storage: full replication is costly; basic erasure coding can make recovery inefficient when nodes frequently join and leave the network; and vulnerabilities can be exploited if verification is weak. Walrus introduces Red Stuff, a two-dimensional erasure coding protocol designed to strike a better balance. It offers high security with significantly lower overhead than full replication, and enables efficient "self-healing" repairs. The bandwidth required for repairs is proportional to the amount of data lost, rather than requiring a complete re-download of all data. Walrus's own explanation of Red Stuff highlights the intuition behind 2D encoding: instead of fragmenting data in only one direction (as in traditional 1D schemes), 2D encoding introduces structure that allows for more precise and efficient repairs. Translating this for developers: If a storage network cannot repair itself effectively, it becomes vulnerable as it scales. The cost of maintaining data availability can increase silently until someone implements a centralized solution (like hosting a gateway) or abandons the effort (accepting that older content might disappear). Infrastructure is designed to prevent such degradation. It treats repair as a core function. Walrus is specifically built to operate reliably even with frequent changes in network participation, incorporating mechanisms for epoch and committee transitions to ensure continuous availability as membership shifts. A useful mental model: "Storage isn't a folder. It's a managed service with enforcement." Cloud storage can feel like a closet: you put something away and forget about it. Walrus, on the other hand, feels more like renting space within a system that enforces how long data should remain accessible, who is responsible for serving it, and what "still available" means in a verifiable way. The Walrus design discusses data lifecycle and space acquisition as normal operational aspects, because persistent availability is not an inherent quality; it is a maintained property that is governed, paid for, and continuously upheld. This is where the infrastructure characteristic is most pronounced: the protocol has defined rules regarding time, incentives, and data state. It aligns more closely with how one thinks about blockchain capacity than with a physical storage drive. Comparing Walrus to a "cloud replacement" is the wrong approach. Framing Walrus as a "decentralized AWS S3" leads to discussions on irrelevant points like throughput, latency, content delivery networks, and enterprise service level agreements. While these are important considerations, they miss the fundamental purpose. Walrus aims to address a different challenge: providing public, verifiable, and incentive-backed persistence for large data objects that underpin on-chain ownership and logic. This is why it integrates with Sui rather than attempting to replace it. It's also why the GitHub repository straightforwardly describes it as a decentralized blob storage system that uses Sui for coordination and governance. Therefore, the relevant comparison is not "Is Walrus cheaper than cloud storage?" Instead, it is: Can your application's trust model encompass storage, not just computation? If the answer is yes, you can move beyond building frontends that depend on unreliable links, single access points, or the assumption that someone will "pin" the content. You can start building systems where storage is an integral part of the verifiable narrative, alongside the rest of the technical stack. The silent competitor: "link rot," not other storage protocols. Walrus's true adversary is the phenomenon that undermines the credibility of Web3 for everyday users: the blockchain confirms ownership, but the user experience indicates the data is gone. IPFS helped popularize content addressing, but ensuring availability often depends on pinning services and the incentives that motivate nodes to host content. Filecoin introduced formal storage markets, but the gap between a "deal existing" and a "user reliably seeing content" remains a practical challenge for many developers. (This is where comparisons often highlight Walrus's focus on Sui-coordinated lifecycles and verifiable proofs.) Walrus seeks to reduce the instances where an "off-chain component" can silently become the single point of failure for a product. Where Walrus is gaining traction: AI, media, and applications requiring persistent memory. Walrus is increasingly discussed in contexts involving AI agents, data-intensive applications, and media-rich experiences – categories where storage is not a secondary consideration but is fundamental to the product itself. Walrus has been positioning itself for AI agent "memory layers" and autonomous systems that need durable data to function consistently. The Sui ecosystem has also highlighted integrations where Walrus is used to store real-world data (such as datasets related to electric vehicles) as part of broader on-chain workflows. This pattern is telling: Walrus gains recognition in areas where "availability" is not merely beneficial but absolutely critical. The feeling of infrastructure, in summary: Walrus feels like infrastructure because it treats storage as a governed, verifiable, and repairable public resource, rather than a best-effort link that eventually fails. It's the difference between: "We uploaded the file." And: "The system can prove the file remained available, can repair it despite network changes, and can present its lifecycle as on-chain data." This distinction is precisely what has been missing in Web3 since the first NFT image resulted in a 404 error while token ownership remained intact. For a final takeaway for developers: Walrus is not attempting to be the location where your data resides. It aims to be the reason your data remains accessible. @Walrus 🦭/acc #Walrus $WAL {spot}(WALUSDT)
At a glance, Walrus’ token seems almost plain compared to the typical wild west of crypto. There’s no flashy rebasing, no maze of derivatives, and you won’t see any wild, short-lived yields. That’s all intentional. Walrus chose this path on purpose. They’re not here for hype or quick wins—they want to build straightforward, reliable decentralized storage. It’s a different beast entirely from the world of lightning-fast DeFi or meme coin pumps. To really get why, you’ve got to see what’s driving them. Walrus isn’t chasing “number go up.” It’s infrastructure. When incentives drift away from real-world use, infrastructure crumbles. Storage Needs Stability Decentralized storage can’t survive in constant chaos. Storage providers need to invest in hardware and bandwidth, plan for ongoing costs, and commit for the long haul. If token rewards swing all over the place or speculation runs the show, operators can’t predict income or plan ahead. So Walrus made predictability the core principle. Their token is tied directly to actual demand for storage. When users pay for storage, that money goes right to the people running the service. It’s a simple loop: more real usage means more real demand for the token. By skipping the usual token gimmicks, Walrus dodges the kind of wild swings that come from over-engineered designs. The result? Operators who stick with the network get rewarded for consistency, not for timing the market. Dodging the “Yield Trap” A lot of protocols lure people in with huge rewards at the start. Sure, that brings in a crowd—but it’s usually just capital without any real loyalty. Once the rewards dry up, the users and the liquidity vanish, too, and the project fizzles out. Walrus doesn’t play that game. No unsustainable incentives here. You earn by actually providing value to the network. That weeds out the mercenaries. The people who stay are the ones who believe in the mission, not just the yield. Over time, you get less churn, deeper commitment, and a healthier ecosystem. Users and Providers Aligned One of Walrus’ main goals is to get storage users and providers on the same page. Everybody works in the same economic system. There’s no artificial divide between “token holders” and “network users.” That keeps it simple: less friction, fewer bad incentives. When the network gets more use, token holders win. When the network is solid and trusted, providers win. Users get fair prices and reliable service. By keeping the token’s job straightforward—payments, rewards, alignment—Walrus avoids letting speculation or messy governance take over. The token’s value mirrors the network’s health, not how clever the mechanics are. Choosing Security Over Hype There’s another angle here—security. Storage networks have to withstand attacks, manipulation, and whales bailing out. When tokens get too complex, they turn into targets, and that’s asking for trouble. A simple structure is easier to grasp, easier to audit, and easier to secure. Fewer surprises. If you’re trusting your data to a network for years, you want something that’s solid. Walrus isn’t after explosive growth. They’re building for the long run. Not Just for Crypto Natives Walrus is thinking bigger, too. They want to bring in enterprises and developers who don’t care about fancy token tricks—they just want something predictable and dependable. Transparent incentives, clear pricing, and simple economics are what win over serious users. A token that works like real infrastructure—boring, steady, understandable—is a lot more attractive to institutions than one built for speculation. Wrapping Up Walrus set up its token this way because storage isn’t a game. This is a real service that needs to work through bear markets, regulation, and shifting trends. By focusing on simplicity, alignment, and sustainability, Walrus is making its case as true infrastructure, not just another quick play. In a space obsessed with flash and speed, Walrus stands out by keeping it real: real utility, real economics, and zero financial theater. @Walrus 🦭/acc #walrus $WAL
Walrus is less about crypto trends and more about utility. Some projects move quickly because they are built for excitement. Walrus thinks it is built for utility. It emphasizes storing large files in a decentralized manner, which is what apps actually need. Many teams still use centralized storage because it is easy, but it creates clear risks: downtime, censorship, access control, and dependencies. Walrus offers an alternative that fits better with decentralized systems. The advantage is clear apps become less fragile. The downside is that decentralized storage can be difficult to smooth out for users. If it is complicated or inconsistent, developers will avoid it. So Walrus’ success depends on practical things: reliable storage, easy tools, and steady adoption. This is a prove it over time kind of project, not a fast trend! #walrus $WAL @Walrus 🦭/acc
#walrus $WAL I keep seeing people expect smart contracts to do everything — logic, ownership, storage, memory. And that’s where most Web3 apps quietly break.
Smart contracts are great at rules. They’re terrible at holding real data.
That’s why Walrus makes sense to me. It doesn’t try to replace on-chain logic. It supports it. Big files, app state, media, long-term data — all live off-chain, while contracts just reference what they need.
That separation matters more than people think. Lower costs. Better performance. No central servers hiding behind “temporary solutions.”
What I like most is that Walrus lets builders stay decentralized without pretending blockchains are databases. You get scalable apps, real ownership, and data that doesn’t disappear when one provider decides to flip a switch.
Sometimes progress isn’t adding more on-chain logic — it’s knowing what doesn’t belong there. @Walrus 🦭/acc
I keep seeing people expect smart contracts to do everything logic, ownership, storage, memory. And that’s where most Web3 apps quietly break. Smart contracts are great at rules. They’re terrible at holding real data. That’s why Walrus makes sense to me. It doesn’t try to replace on-chain logic. It supports it. Big files, app state, media, long-term data — all live off-chain, while contracts just reference what they need. That separation matters more than people think. Lower costs. Better performance. No central servers hiding behind “temporary solutions.” What I like most is that Walrus lets builders stay decentralized without pretending blockchains are databases. You get scalable apps, real ownership, and data that doesn’t disappear when one provider decides to flip a switch. Sometimes progress isn’t adding more on-chain logic — it’s knowing what doesn’t belong there. @Walrus 🦭/acc #walrus $WAL
@Walrus 🦭/acc Most storage tokens are narratives. Live mainnet, growing objects, real dApps migrating data. No roadmap vapor just execution! Good projects don’t need hype, they need time! #Walrus $WAL @WalrusProtocol
#walrus $WAL Most storage tokens are narratives. Live mainnet, growing objects, real dApps migrating data. No roadmap vapor just execution! Good projects don’t need hype, they need time! @Walrus 🦭/acc
Walrus is a project that you only notice when it's missing.
@Walrus 🦭/acc Most apps don't break because of smart contracts, they break because of data. Images fail to load. Videos disappear. Datasets get locked behind a company's servers. Walrus is built for this silent problem: storing large files in a decentralized manner so that apps don't rely on a single point of failure. What I like is that it targets "blob storage," which means it's designed for huge amounts of data, not small text files. It's more realistic for real products. Now the key question is implementation: can Walrus remain fast, affordable, and reliable under real-world use? If so, it could become a backend layer that many apps use without thinking. @Walrus 🦭/acc #Walrus $WAL
#walrus $WAL Walrus is a project that you only notice when it's missing.
Most apps don't break because of smart contracts, they break because of data. Images fail to load. Videos disappear. Datasets get locked behind a company's servers. Walrus is built for this silent problem: storing large files in a decentralized manner so that apps don't rely on a single point of failure. What I like is that it targets "blob storage," which means it's designed for huge amounts of data, not small text files. It's more realistic for real products. Now the key question is implementation: can Walrus remain fast, affordable, and reliable under real-world use? If so, it could become a backend layer that many apps use without thinking.
#walrus $WAL Web3 verifies contracts, not memory. Walrus treats storage as infrastructure, so files stay verifiable, reliable, and usable when everything else is stressed...
Walrus Until It’s the One Thing Your App Can’t Afford to Lose
@Walrus 🦭/acc Cloud storage is not the thing when it comes to Web3. Web3 is actually working out a deal with cloud storage. Web3 keeps making this compromise with cloud storage. This is because Web3 needs to find a way to work with cloud storage. The thing is Web3 is making a deal, with storage to make things work. So Web3 and cloud storage are trying to figure things out Web3 is still making compromises with cloud storage. We create applications that tell people to be careful and verify the information. Then we take the parts of the application that people use the most, like images and posts and datasets and the current state of the application and user interface files and proofs and metadata and we put them inside a system that relies on promises. The cloud is okay until it stops working. When the cloud fails it usually happens without making a noise. It stops working because small things go wrong. You might lose a file. You might find a link that does not work. We make applications that say do not trust we make applications that say verify the information so you have to be careful, with the cloud and the applications. Something you need might be gone. You do not have permission to see it. The rules can change after you have done something with the thing you are doing. The thing you are doing might seem to be working.. The thing you are doing is not really working. It is, like a museum that still has a building. The museum has no pictures. The museum is still there. The museum is empty. The museum is not interesting. The thing about Walrus is that it starts with a hard question. If we are using blockchains to reduce our need to trust people or companies then why are we still giving people or companies control of our data? Walrus is really making us think about this. We are talking about blockchains. The question is, why do we keep letting other people handle the parts like the bytes for us? Walrus is asking us to think about why we do this, with blockchains. Walrus wants to know why we are still doing this with our blockchains. The right way to understand Walrus is to not think of Walrus as a replacement for something like Dropbox that is decentralized or a version of S3. We make these comparisons because we are used to using Dropbox and S3.. Walrus is not like that. These comparisons do not make sense when we talk about Walrus. Walrus is not trying to be, like the cloud. What Walrus is really doing is questioning the idea that we can trust the cloud just because some big company says Walrus should trust the cloud. Walrus is different. Walrus is trying to make us think about what it means to trust the cloud. The Walrus is looking at the idea that we can trust the cloud just because some important organization says it is okay. The Walrus is wondering if the cloud is really reliable. The real competition: trust models, not price Cloud storage is a service that you have to pay for. You pay for cloud storage so that it is available when you need it. It works the way it is supposed to. The thing is, when you use cloud storage you have to accept that the company that provides it is, in charge of everything. The cloud storage company gets to decide what is true. What is not true. They have their logs and settings and rules that they follow. When something goes wrong with your cloud storage you try to figure out what happened after the fact. You ask the cloud storage company for reports to help you understand what went wrong. Then you send in tickets to the cloud storage company to get some help from them. People are still involved with the cloud storage companies and there are laws that these cloud storage companies have to follow. It is about following the rules and making sure everyone, at these storage companies does what they are supposed to do. These cloud storage companies have to be trusted to do the thing because that is how these cloud storage companies work. The Walrus thinks that storage should be a thing that is always secure. The Walrus wants storage that's like a foundation so you can build other things on top of the storage without worrying if it is safe. You should be able to use the storage whenever you need to, like when you have to make your system bigger because your application is getting popular and people are talking about the application.. When you need to use the storage for different reasons the storage should still be easy to use. The Walrus wants the storage to be something you can rely on so you can just use the storage when you need it without having to think about if the storage's trustworthy every time you use the storage. The Walrus storage should just work. You should not have to think about trusting the Walrus storage every time something changes with the Walrus storage. This way you can use the Walrus storage without worrying about the Walrus storage all the time. The thing about Walrus is that it is saying something. When Walrus says "Walrus is not competing with cloud storage" what Walrus really means is that Walrus is competing with the idea that people can just trust something because it is decentralized. So Walrus is competing with this idea that people trust products. Walrus wants to show that Walrus is different, from products that are decentralized and that people trust these products without really thinking about it. Walrus is trying to make a point that people should not just trust something because it is decentralized Walrus wants people to think about why they trust Walrus. “Chain for rules, network for bytes” The Walrus is really good at making a split that's easy to remember. This is a help when you are using the Walrus. The Walrus is surprisingly powerful when you actually use the Walrus in practice. I think the Walrus is great because it makes things easy, for you. The Walrus is a tool to use because the Walrus is powerful and easy to use. Sui is the place where all the rules are stored. This is also known as the control plane of Sui. The control plane of Sui is what Sui uses to keep everything in order. Sui has a lot of rules. Sui needs a place to store these rules. That place is the control plane of Sui. The Walrus is where you find all the bytes. This is basically the part of the Walrus that deals with data. The Walrus is like a box that holds all the bytes. The Walrus uses the data part to store and manage the bytes. The Walrus is about the bytes. The bytes are stored in the data part of the Walrus. The Walrus has a lot of bytes. The data part is where the bytes are, in the Walrus. This split is important because storage systems do more than just store things. Storage systems make a lot of decisions too. For example storage systems decide who owns the data. They also decide how long the data is kept. Storage systems figure out who pays for the data. When the data expires storage systems decide what happens next. They even decide what happens when the data needs to be renewed. Storage systems also decide how people can access the data over time.. When there are disagreements about the data, storage systems help resolve them. Storage systems are really important in all these decisions, about the data. In the Web2 system people make these decisions, inside special control panels and internal systems.. In the new Web3 applications these decisions are still made somewhere else not on the main Web3 system even if the token and governance of the Web3 system are controlled on the main Web3 system. The Walrus wants to make this idea more open. We can think of storage space and the things we store in the storage space as things that exist on the chain. The Walrus is doing this so that apps can create rules for how these things in the storage space work. For example the apps can create rules about when to renew something in the storage space, who owns the things in the storage space when to make payments for the things in the storage space who can access the things in the storage space and who pays for the things in the storage space. This way we do not have to rely on someone behind the scenes doing the thing, for the storage space and the things we store. The Walrus and these rules can really make everything work out in a way. The Walrus is, like a part of this and these rules are important too. The Walrus and these rules together can make it all come together. This is a change. It makes a big difference, in the way we think about building things. We do not think about which company we can trust to do this anymore. Now we think about what we can check to make sure the building is okay. The idea of building things is what changes when we start thinking this way. Building things is what we are talking about. Building things is the thing that is affected by this way of thinking about building things. So when we talk about this building and verifying are the two things that we need to think about. Building is a part of it and verifying is also very important. We have to do both building and verifying to get it right. Building and verifying go hand in hand. Availability as a cryptographic claim The main idea behind Walrus is not just that it is decentralized. The main idea behind Walrus is that Walrus keeps things working no matter what happens. This is a part of Walrus. The people who created Walrus believe that things should keep working when bad things happen. They think that is engineering. So that is what Walrus is about. Walrus is, about making sure things keep working. The people who made Walrus want Walrus to be strong and keep working. When we talk about storage people usually think of availability as something that shows how well the storage system is working. In the case of storage availability is more, like a promise that you can actually check to see if it is true. This means that with storage the storage system is making a promise that you can really count on and you can check to make sure that this promise is being kept. The Walrus system uses something called erasure coding. Of making copies of entire files the Walrus system breaks a file into lots of little encoded pieces. The Walrus system then puts these pieces on nodes. The way the Walrus system does this has two effects: The network can still work when some of the nodes are not working right. It does not need every node to be working perfectly. The network just needs nodes to be working so that the original information can be put back together again. This is the difference, between just hoping that the copies of the information are still available and the network being made in a way that it is okay if some parts of the network are not working. The network is designed so that it can handle it when some nodes are not working properly without shutting down the network. The network only needs working nodes to get the original information back. The network is made to keep working even if some of the nodesre down. This is what makes the network special. The network is built to deal with nodes that are not working properly. Sometimes nodes will not be. That is just how the network is. The network is designed to handle this kind of thing. The network will still work even if some nodes are not working. When we talk about availability it is not about one company being online all the time. The main thing is that the network can provide parts of the data so that we can put it back together. Data storage systems, like this one have something called resilience built in. This means the data is stored in a way that makes it strong. I think people really mean it when they talk about resilience. It is not something they say to sound good. Data storage systems actually work in a way that makes them resilient. This is how the data storage systems work they are made to be strong and reliable and that is what resilience is, about making data storage systems strong. When you work with storage systems you learn that there is a tradeoff. This tradeoff has a cost. The cost is that it can be harder to coordinate and get information than making a simple call to a main server. That is where Walrus comes in. Walrus is not trying to make one request. Walrus is trying to do something. Walrus is trying to make sure it keeps working when things get messy. This means Walrus can handle things like storage nodes going offline operators changing what they want and demand for storage changing quickly in ways. Walrus is really good at dealing with these kinds of problems because Walrus is optimizing for survivability. Walrus is about staying alive and working properly even when the world, around it is unpredictable. The Walrus is really good, at dealing with these things because the Walrus is made to keep going even when things get really messy. The cloud is very good at making sure things do not go wrong. Walrus thinks that things will go wrong all the time and it makes its plans, with that in mind. The cloud makes failure something that never happens. Walrus designs everything around the idea that the cloud and failure're always a possibility. The cloud is great. Walrus always thinks about what can go wrong with the cloud. The cloud and failure do not go together according to the cloud. Walrus thinks about the cloud and failure all the time. The main problem that Walrus is trying to fix is that people are too dependent on things. Walrus is taking a look at this issue of people being dependent. Walrus wants to make a change to the way people depend on things. Walrus is really focused on this problem of dependence that people have on things. Walrus thinks that people should not be so dependent on things. The goal of Walrus is to help people get rid of this dependence, on things that Walrus sees as an issue. People do not think about storage until something goes wrong with it. When the storage stops working the issue is not about losing your information. You also lose faith in the application. Storage is really important to people. If the storage fails it can be really bad for the application. Storage issues can make people think the application is not trustworthy. This can really hurt the application. Storage problems are a deal because storage is what keeps your information safe. When people use an application they expect the storage to work properly. When it does not they get upset, with the application, not just the storage. People always talk about storage because it is an issue. This comes up all the time. The reason, for this is not that the people who build things like working on the behind the scenes stuff. The reason is that decentralized storage is where the user experience and the decentralization of decentralized storage come together. Decentralized storage is really important because it affects how users interact with storage. Decentralized storage is a part of the whole experience. A DeFi protocol is something that stays the same.. The way it looks to people who use it can be different. You can store an NFT on a blockchain. * It is like a kind of record. The picture or video that the NFT is linked to can still disappear. People can vote on something. Have that vote recorded on a blockchain. The papers that explain what the vote is about can be taken away. Changed after that. A set of information that is used to make an AI model work can be open for everyone to see. This set of information is what makes the AI model work properly. The DeFi protocol and the AI model are two things. The NFT is also different, from the DeFi protocol and the AI model. DeFi protocols and NFTs and AI models can become closed off without people noticing. These are not just problems with DeFi protocols and NFTs and AI models. They are the things that can make people lose trust in DeFi protocols and NFTs and AI models. This happens when DeFi protocols and NFTs and AI models are not completely honest with people and that is an issue, for DeFi protocols and NFTs and AI models. The Walrus people are working on making those edges stronger. They want to change how we think about storage when we talk about cryptocurrency. Now storage is, like something that just happens automatically. The Walrus people want to make storage a part of the blockchain that we can use in ways. They are calling this idea a adjacent primitive. This means that storage is not something that happens in the background it is a part of the blockchain system that can be used in many different parts of the cryptocurrency process. The Walrus people think that storage should be connected to the blockchain and used in ways so they are trying to make that happen. The main idea of Walrus is to make the edges of Walrus storage stronger. We want to do this by changing the way we think about storing things especially when it comes to cryptocurrency and Walrus storage. The cloud is not going away. What is changing is the way we think about the cloud when it comes to trusting it. The cloud will still be around. The clouds job in keeping our things safe and secure is what is really changing. We are looking at the cloud in a way and the clouds role in security is not the same as it used to be. The cloud is still the cloud. Our trust, in the cloud is what is being replaced. When you think about Walrus, the thing to say is that Walrus changes who has to be confident. Walrus is really good at making people think differently. Walrus makes people think about what they know and what they do not know about Walrus. The thing, about Walrus is that it really does shift the burden of confidence. So people have to think about what they're doing when they use Walrus. Walrus makes people think about their actions when they are using Walrus. When you use the cloud you have to believe that the company providing the cloud is honest and good, at what they do. The cloud company has to be someone you can trust. You also have to think that the cloud company wants to keep doing a job for a long time. The cloud requires you to trust the cloud companys integrity the cloud companys competence and the cloud companys long-term incentives. You have to trust the cloud company. Walrus wants you to believe in the security of cryptography. The benefits of incentives are also something Walrus thinks about. Verification is important, to Walrus. Walrus thinks cryptography is really important. Walrus also believes incentives are a thing. Walrus says we should be able to see verification for ourselves. So Walrus is saying that we should trust cryptography we should trust incentives. We should trust verification. Walrus really wants us to trust these things, cryptography and verification and incentives. That does not make Walrus better in every situation. If you want to have reads and you do not need to coordinate much then the cloud is still the best option. If your goal is to build a product that's reliable and works the same everywhere no matter what is happening in the world then the cloud is not the best way to do things. The cloud has problems when you need something that works the same in every region every year, no matter what conflicts are happening. No matter what is changing with social and economic things. Walrus is better for this because it can handle all these things and still work well. The cloud way of doing things is not good for products that need to be reliable and neutral so Walrus is a choice, for these kinds of products. Walrus is about making a product that's really reliable and neutral like Walrus no matter what you use it for. The cloud is different from Walrus in this way. Walrus stays the same. The cloud does not. Walrus is what we want our product to be something that's always reliable and neutral, like Walrus. The Walrus is getting really big. This is the point where the Walrus becomes bigger than the storage. The Walrus is just getting too big, for the storage. The Walrus is too large now. When you can see how your data is stored and how it changes over time using logic storage is not something that sits there. Your application can think about the storage. It can do things with the storage. The application can automatically renew the storage when the storage needs to be renewed. It can control who gets to use the storage and when they get to use the storage. The storage can even make money for you in a way that's easy to understand. The storage can be moved from one place to another place without any issues. The storage can prove that the data is still stored in the storage. The data can survive things that might normally cause problems. This is like what happens when centralized systems have to make decisions on their own. The data is able to handle these kinds of issues because the data does not have to rely on systems to make decisions for the data. This makes the data very strong and able to survive things that might normally cause problems, for the data. Why this matters now Web3 is getting more complicated with things, like media and gaming assets. We are talking about Web3 and it has to deal with a lot of graphs and archives that need to be stored for a very long time. Web3 is also doing work with intelligence like handling datasets and model artifacts and that is a big part of what Web3 does. Web3 is also keeping records of where things come from and sharing training materials which's an important part of the Web3 system. These are not things that you can keep on the blockchain for the part. Web3 applications are really big. They are hard to understand. They have an effect, on the economy of Web3 applications. Web3 applications are changing a lot of things. Storage is like being the boss when bytesre important. The person who is in charge of storage gets to make decisions. They decide what people remember and what gets thrown away. They also decide what people can see and what happens to the things they want to look at. They can even slow some things down. Change them. This is because bytes need storage to exist. The person who controls the storage has a lot of control over the bytes. They get to say what happens to the bytes. This is a big deal. The person in charge of storage has a lot of power, over the bytes. What happens to them. Storage and bytes are closely. The person who controls the storage gets to decide what happens to the bytes. The person who has the storage of the bytes is really the one in charge of the bytes. This means they have power over the bytes. The storage of the bytes is a deal because it gives them control of the bytes. The bytes are important. The person, with the storage of the bytes gets to decide what happens to the bytes. The people behind Walrus think that the next generation of products that use a blockchain will need something than just composable finance. These new products will need a way for data to be available in a way that's easy to use. This means Walrus believes that these products will need a system where data's easy to get to and use in different ways. Walrus is about making sure data is available in a composable way, which is really important for these new products that work on a blockchain. The team at Walrus thinks that composable data availability is the key, to making these products work well. The thesis in one line The Walrus is not trying to be better than the cloud. The Walrus does not want to outdo the cloud. The cloud is what it is. The Walrus is just doing its thing. The Walrus is happy with what the cloud can do. The Walrus does not feel like it needs to be better than the cloud. The Walrus and the cloud are two things and that is okay. The Walrus is fine, with that. The cloud is the cloud and The Walrus is The Walrus. This new thing is trying to build something that cloud storage's not very good at. It wants to be a place where people can store things and know that they are safe. The reason it will be safe is because it checks everything not just because we think it will work. Cloud storage is what this new thing is trying to be better than. This new storage layer is going to be reliable because it verifies everything, not just because we trust that it will work. This new thing is going to make sure that cloud storage is not the option, for people who want to store things in a reliable place. Cloud storage is what it is trying to improve on. If that thesis holds, Walrus won’t feel like a “storage competitor.” It will feel like an inevitable infrastructural shift one of those quiet changes that only gets noticed after everything starts depending on it. @Walrus 🦭/acc #walrus $WAL