Nushi Nushu

Like the walrus is a big deal in the Arctic Walrus Protocol is a big deal in the digital world. It is getting attention from people who care about information and apps. Walrus Protocol is important because it helps make sure apps are reliable and work well.

The digital ocean is very big. It is always growing. There is a lot of information in it and computers are using more and more of it. Walrus Protocol is a part of this ocean. It is helping to make it better. It is like a helper that makes sure everything works correctly. Walrus Protocol is something that people are starting to notice. It is going to be important, in the future.

Walrus is taking charge in the world of storage that is not controlled by one company. It is built on the Sui blockchain which's very fast. Walrus is a way to store and share data that is made for the needs of intelligence. Old ways of storing data with companies, like Amazon Web Services or Google Cloud are easy to use. They have problems. These problems include having one point that can fail not being transparent and costing more and more money. Walrus is doing something. Walrus does something cool by spreading out data across a big network of computers all around the world. It uses a way of coding to make sure the data is safe and can be gotten to at any time. This is really useful for files like videos and big sets of information.

What makes Walrus really special is what it wants to do: make data into something that people can trust and use. When you upload a file to Walrus it gets an identifier that can be checked. Any changes to the file are. Cannot be altered and it is possible to prove where the file came from. Walrus is, about making data reliable, valuable and something that can be controlled. This is not a place to store things. It is a base for data markets where information can be turned into tokens, traded and programmed. Developers who are building intelligence agents or people who are working on DeFi protocols that need to verify things in real time or media platforms that are delivering dynamic NFTs will find Walrus very useful. We have tools, like Seal that let people access and control things in a way and also keep them encrypted. Then there is Quilt that makes it easy to store files. The result is that people can read and write data in a cost way and it can handle a lot of traffic. It can even spread across thousands of nodes.The center of the system is the WAL token. The WAL does a lot of things.

It is used to pay for storage. When you use the system you have to pay fees. These fees are paid with $WAL token.

The people who made the system came up with some ways to keep the costs of using $WAL token steady so the cost is pretty much the same even when the value of $WAL token goes up and down. This helps the people who use the system because they do not have to worry about the cost changing all the time when they pay with $WAL token.

Network security is very important. The people who hold $WAL are in charge of keeping the network safe. They do this by using something called delegated staking. When they do this they help secure the network. They also get rewards, for doing it. The $WAL holders are the ones who make sure everything runs smoothly.

Governance: Token holders influence protocol parameters.

Deflationary pressure: Built-in burns from penalties and slashing enhance long-term value alignment.

The people who use Walrus own a part of it. Over 60 percent of the total supply is given to the community through things like airdrops and subsidies. This makes Walrus a project that is really driven by the community.

Some big things have happened with Walrus lately. It got a lot of money from some important investors like a16z and Standard Crypto. It also started working with projects like Talus to make AI agents.. More big companies are starting to use it. All of these things mean that Walrus is going to do well in the future.

As Artificial Intelligence gets more and more popular it is changing a lot of things. Making new economies. Because of this we really need a system, for storing data that is not controlled by one person.

@Walrus 🦭/acc is not just meeting this need it's defining it.Dive in today. Explore the future of data with Walrus.#walrus

Dusk Foundation works where privacy and blockchain come together. The Dusk Foundation network is made to help with transactions and smart contracts that are useful in the real world. Dusk Foundation does not show everything on a list.
Dusk Foundation is about being transparent when it needs to be private information stays safe. This means people can still trust Dusk Foundation and verify things when they need to.
The Dusk Foundation way is different, from privacy chains that are just being tested. The Dusk Foundation is made for institutions that need to use it.
The Dusk ecosystem is really good at helping people who build things. The people in charge of Dusk make sure that the tools for developers are good the instructions are easy to understand and the parts that make up Dusk are ready to use. This means that people can add privacy to the systems they already have without having to change everything. The Dusk ecosystem works with the way people work today. This is important for things like securities, private asset transfers and confidential settlements. For these things it is just as important to follow the rules and be efficient as it is to have cryptography. The Dusk ecosystem is helpful, for these things because it makes it easier to add privacy.
The Dusk Foundation is really involved in helping research and the ecosystem grow. They make sure that people work together and that the community is in charge of making things happen. This way ideas do not just stay as ideas they actually become things that people can use. The Dusk Foundation brings together people who're good, at cryptography, engineering and developing applications so they can all work together towards the same goals. This means that the people who are working on the Dusk Foundation protocol can focus on long-term plans but make sure that things are getting done now. The Dusk Foundation is making progress instead of just trying a lot of different things that do not work together.
Dusk is really good at performance too. For privacy to really work it has to be easy to use and do what you expect. The Dusk network does this by making an environment for keeping things secret when it does computations. This helps keep the costs and time it takes to do things from getting too high. So applications that care about privacy do not feel like they might break easily or are, for certain people. When developers know what to expect from the network privacy is something that makes their applications better not something they have to give up to get something.
Security is really important for everything. Even if a network says it is about keeping your information private it still needs to be open about how it works have good rules for the people who help keep it running and always be checking to make sure everything is okay. Dusk thinks that security is something everyone should be working on together from the people who design the network, to the people who run the nodes to the people who build applications. This way of doing things helps keep the network safe and the projects that are built on it so people can trust it without worrying that their private information will get out.
The importance of Dusk becomes more obvious as more companies start using blockchain technology. These companies want to use blockchain because it's efficient and they can program it to do what they want.. They do not want to share their financial information or business secrets with everyone. Dusk is a solution because it lets companies join decentralized networks without sharing sensitive information. Dusk helps keep this information private and, under control.
In essence, Dusk Foundation is not chasing privacy as a buzzword. It is building a usable privacy layer for applications that need to operate in the real world. With a growing ecosystem, mature tooling, and a clear vision, Dusk continues to move from concept to infrastructure. Lights on. Privacy up. #dusk @Dusk $DUSK

Competition gets loud fast trash talk, pump-chasing, secret-silo tech. That noise makes headlines for a hot minute, then fizzles. Meanwhile, the smarter move is collab: share ideas, remix work, and actually build something bigger together. Competition sharpens skills; collaboration scales impact.
Web3 especially needs this energy. Too many projects lock up their stacks or treat other chains like enemies. The ones that win are doing the opposite: bridging, partnering, inviting builders in. Less ego, more collective wins.
Dusk? That crew gets it. The community isn’t just hype it’s builders helping builders. Questions about zk or confidential contracts get real answers fast. Devs drop snippets, artists team up, and wins get celebrated like they matter. It’s low gatekeeping, high utility.
What sets Dusk apart is focus: privacy tech that’s actually usable for institutions and everyday users, not vaporware. Tools are built to plug into other stacks, not to hide behind walled gardens. That makes partnerships feel natural — folks want to integrate, not compete.
In a market that burned out a lot of hype, communities doing genuine work stick around. Dusk’s collaborative vibe pulls in people who care about long-term product, not short-term hype. The projects that isolated themselves are fading; the ones that build together are gaining momentum.
If crypto wants mainstream traction, it needs more of this: win-wins, not zero-sum flexing. The Dusk fam is already modeling that. Tired of the noise? Check a community where lifting others is the strategy, not an afterthought. @Dusk

The Walrus Protocol is about making storage better for builders and creators. It is a solution for people who need to store a lot of things. The storage from the Walrus Protocol is very good. It can be used by many people at the same time. Builders and creators like to use the Walrus Protocol because it helps them to store things in a way. The Walrus Protocol is a choice, for people who want storage that actually works.
For teams that are building apps or artificial intelligence pipelines that need a good way to store things outside of the main system Walrus Protocol is a solution. It helps with the problems that engineers face. Walrus Protocol is made to reduce the cost of storing things while making sure that getting back data is easy and fast.
Here is a simple explanation of how Walrus Protocol works why it is important and what you should try before you use it with your data.
* It is an idea to learn about Walrus Protocol because it can help you.
You can find out more, about Walrus Protocol at @walrusprotocol. You can also look at $WAL and #Walrus.
The main thing, about this system is what it really does. The system is the part of this and what the system does is important. We need to think about what the system does and how it works. The system does something. That is what matters.
Walrus stores things like videos and pictures by breaking them into lots of little pieces and putting these pieces on different computers. This way Walrus does not need to keep copies of the same thing. It uses a way of coding so that it only needs a few of these pieces to put the original thing back together. This makes it cheaper to store things for a time and it is still safe even if some of the computers are not working. The result is that Walrus provides storage for a long time and you can still get to your things even when some of the computers are down. Walrus is really good at storing unstructured stuff, like video archives and image datasets and model checkpoints and backups.
Encoding, recovery, and proofs
Imagine you have a file. You cut it into lots of little puzzle pieces. You do not need all of these puzzle pieces to see the picture. You only need some of them.
The recoverability threshold of erasure coding is something that you can adjust. You have to think about what's more important to you. Do you want to use space on your computer or do you want to be able to recover your file quickly and cheaply and use less bandwidth?
Walrus is a way to make erasure coding work for really big files and for files that people look at a lot. It does this by making some changes, to how things are done.
Storage proofs work in the background. They check that the nodes are doing their job. They do this without getting in the way of the nodes when they are reading or writing data. If a proof fails it does not stop everything away.. It does tell the system that handles rewards. The Storage proofs feed this system. It looks at the nodes that fail a lot. The nodes that fail a lot are penalized. This way the system stays available and it does not slow down the work of the nodes. The Storage proofs keep the nodes working and the Storage proofs make sure the system is always available.
Token model & billing mechanics
WAL is the unit of payment. When you store something you have to pay with WAL upfront for an amount of time. The people who provide storage and the people who hold WAL get rewards over time which helps to make sure the value of WAL does not go up and too much. The nodes that get to work on storing and answering questions are the ones with WAL because they have a stake in it. This means they can earn WAL. The people in charge use WAL to make decisions, about how the system works, which helps to make sure everything runs smoothly in the run. So when teams need to store something they should figure out how much WAL they need to pay and make a budget that takes into account the fact that the price of WAL can change.
Why builders and artificial intelligence engineers should care about this. Builders and artificial intelligence engineers have a lot to think about when it comes to their work. Builders and artificial intelligence engineers need to know what is going on in their field. Builders and artificial intelligence engineers should care because it affects their work and the things they are trying to accomplish. Builders and artificial intelligence engineers have to stay up, to date with the developments.
Training and inference require a lot of data and many checkpoints, which makes cloud bills go up fast. If we have a storage system that's good at handling a lot of data and keeps costs steady teams can try new things without spending too much money.
Autonomous agents are like helpers that find, get and check data as they are working. These helpers work better when they can be sure the data is available and can be fixed quickly if something goes wrong.
This makes it possible to have a system where agents can buy and sell data and people can find what they need and be sure it is real, without having to go through a server for every request. Training and inference and these agents can all work together with the storage system to make this happen.
Developer ergonomics & ecosystem fit
The integration surface is something we know about: it is like object storage. It uses content addresses. The software development kits or SDKs for short help with uploading things making storage contracts and figuring out content addresses. The protocol is made to work with the logic that happens on the chain and with agents that are off the chain so you can add checks to make sure things are okay in your app flows if you need to be sure that things can be retrieved and are intact and you need this to be proven with cryptography and this proof is, about the storage and the integrity of the things that are stored.
Security tradeoffs & economic assumptions
Decentralized storage has to be ready for things to go wrong without warning. Walrus uses a way of storing data called erasure coding and it also uses something called staking incentives and asynchronous proofs. Decentralized storage and the computers, on the network have to work to make this happen.
Practical deployment recommendations
When you are setting up your system you need to pick the redundancy and recovery parameters that match your Recovery Time Objectives. This is really important for your Recovery Time Objectives. You have to make sure the redundancy and recovery parameters are a fit, for your Recovery Time Objectives.
Monitor proof outcomes and node responsiveness closely.
Budget WAL volatility into procurement.
We should use a mix of things to store our content. The popular stuff should be kept on a content delivery network or, in the cloud.. The old archives and really big sets of data should be moved to Walrus. This way we can avoid problems when we move everything over. It also lets us do it a bit at a time which is a lot easier. We can just adopt the system incrementally with Walrus.
We need to make sure the information we put back together is correct. So we should automate checks to see if it matches the addresses we already know. This way we can confirm that the reconstructed content is the same, as the known addresses.
Performance & cost tradeoffs
Do not just compare the amount of gigabytes you get per month. You need to think about how it takes to get the information you need how much bandwidth you use when you send data out and what it costs to use the computers and network to put the data back together. You also need to consider the work it takes to make sure everything is working correctly.
Erasure coding is a way to store data that uses space but it makes the computers and network work harder when you need to get the data back. If you are going to be getting data a lot, where you put the pieces of data and how fast the nodes can send data will be very important for your costs. If you are just storing data for a time and not using it much saving space usually saves you more money than it costs to get the data back.
You should run some tests that're like what you will really be doing before you move a lot of data. This will help you understand what Storage and Data Retrieval costs really are for your Data Storage, like Amazon S3 or Google Cloud Storage or Microsoft Azure Blob Storage.
Risks & open questions
We need to test some things to see how they work. Specifically we should look at how nodes work over a time what happens when a lot of things go wrong at the same time and if we have good tools to check everything and make sure we are doing things right. We also need to make sure that different chains can work together and that marketplaces have ways of doing things. This is still something that is being figured out. If we try out tests that are like what we will be doing in the real world we will find out what problems we might have faster than if we just make plans, on paper.
Migration pattern (short list)
Use two tiers: hot on cloud/CDN, cold on Walrus.
Surface shard availability and challenge pass rates in your product dashboards.
Closing practical notes
Walrus reframes replication economics while keeping recovery practical. For AI, media pipelines, and archives, erasure coding + staking + asynchronous proofs provide a credible alternative to centralized cloud for long-lived unstructured content.
Make bar chart and pie chart of this topic
#walrus @Walrus 🦭/acc $WAL

Tokens are not tickets to the moon. If Plasma is really serious about this then the XPL token has to be important to the people who build things the people who validate things and the normal users, not the traders who watch the charts all day. The XPL token has to mean something to these people to the builders to the validators and, to the users of Plasma.

Gas discounts and transaction priority should be for people who are really participating in the network not just holding onto things. If you are running validators or helping out with sequencer resources or making contributions that can be seen on the chain then you should get costs and your transactions should go through faster. When you are helping the network to run better you should see the difference in how things take and how much you have to pay. The people who are actually doing something for the network should get rewards, like fees and faster transaction times.

Governance should be simple and focus on what the builders need. It is really important to be able to upgrade the infrastructure. This is more important than talking about things.

We need to limit how control one person can have and make sure people only have permission to do things that are part of their role. We also need to have a way for people to make technical proposals.

This will help us make decisions that're practical and make sense without letting a few people who have a lot of power stop everything from moving forward. Governance, like this will help the builders. Keep the project moving, which is what Governance is supposed to do for the builders and the project.
We need to make sure that incentives help a lot of operators. These incentives should also punish people who do things and stop power from being held by just a few people. It is better to have rewards that are based on the costs of running the network. This is more stable, than rewards that are based on hype and may not last. Staking and security are important. Should be funded in a way that supports the network.

Most importantly: communicate $XPL through the product, not diagrams. Show fee reductions, priority lanes, governance access, and staking rewards directly in the UX. People adopt features first — the narrative follows.#plasma @Plasma

The Incentive Mismatch That Keeps Plasma GroundedCrypto loves a good hype cycle. A new chain launches, drops a points program, teases an airdrop, and suddenly everyone’s bridging funds, swapping tokens, and spamming transactions just to farm rewards. Daily active wallets spike. TVL charts go parabolic. Twitter fills with “wen moon” memes. Then the incentives taper off, the farmers leave, and activity collapses back to earth.Most scaling solutions play this game because the market rewards it. Investors, speculators, and token holders all want to see growth metrics right now. Projects that deliver big numbers get funded, listed, and pumped. Projects that don’t even if they’re building something fundamentally sound get ignored.Plasma never really played that game. It wasn’t designed to chase wallets. It was designed to be left alone and still work.Plasma chains were built for throughput-heavy applications that need to run reliably without constant human intervention. Think high-volume gaming, NFT minting factories, or perpetual exchanges that process thousands of transactions per second. Once deployed, the ideal Plasma chain should just… run. No daily governance votes. No emergency parameter tweaks. No sequencer drama. No points program needed to keep users around.The incentive structure is completely different from the prevailing model. Where most L2s today are effectively subsidized entertainment paying users to show up Plasma assumed users would show up because the system was cheap, fast, and didn’t break. The operator’s job was to keep the chain honest and available, not to keep users amused.This creates a deep incentive mismatch.The broader crypto market optimizes for visible, short-term activity. Token price depends on narrative momentum, and narrative momentum depends on charts going up. Teams are therefore pushed to maximize daily engagement at almost any cost. That leads to centralized sequencers (because decentralization slows things down), pre-confirmations (because users hate waiting), and endless yield farming (because bored users leave).Plasma took the opposite bet: if you make something genuinely reliable and cheap, the applications that need it will come, and they’ll stay because switching costs are high and the economics actually make sense. You don’t need to bribe them to stick around.Of course, Plasma’s original designs had real problems—most notably the data availability issue that made mass exits risky and required users (or watchers) to stay vigilant. That was a form of babysitting nobody wanted. Rollups largely solved that by posting data directly to Ethereum, which is why they’ve dominated the last few years.But the core philosophy behind Plasma remains compelling: build infrastructure that prioritizes long-term robustness over short-term engagement metrics. A chain that doesn’t need constant hand-holding from its operators or its users is a chain that can survive bear markets, regulatory pressure, and the inevitable drying-up of mercenary capital.We’re now seeing the consequences of the other path. Many of the highest-TVL L2s are still running centralized sequencers. Their points programs have created billions in artificial activity. When those programs end, we’ll find out how much real demand actually exists.Plasma never had that illusion. It never pretended to have millions of daily active wallets. It aimed lower and deeper: to be the boring, dependable backbone for applications that actually need scale. No hype required.In a mature industry, that’s what real infrastructure looks like. It doesn’t trend on Twitter. It doesn’t need a mascot or a meme coin. It just works, day after day, without anyone needing to babysit it.Maybe that’s why Plasma never got the attention it perhaps deserved. The market wasn’t ready for reliability. It wanted spectacle.But reliability has a way of outlasting spectacle. When the points run out and the farmers move on, the systems that were built to be left alone will still be running.@Plasma #plasma $XPL