Nushi Nushu

In crypto, regulation is often painted as the villain. More rules, less freedom, end of discussion. That attitude sounds cool online, but it collapses the second real financial players show up. Banks, funds, and asset issuers don’t get to ignore the law just because a blockchain exists. They operate inside strict legal frameworks, whether they like it or not.
If a network wants to support real markets not just experiments it has to work within those rules. That’s where Dusk takes a different approach.
Instead of treating compliance as an afterthought, Dusk was designed from day one for regulated finance, especially within frameworks like the EU’s MiCA and MiFID II. The aim was never to give up privacy. The aim was to prove that privacy and regulation don’t have to cancel each other out on-chain.
Privacy isn’t about hiding from the law
One of the biggest misconceptions in crypto is that privacy equals secrecy. In regulated finance, that’s not how things work. Regulators don’t need to see everything. They need to know that rules are being followed.
What matters is verifiability.
Dusk uses zero-knowledge cryptography to make that distinction clear. Transactions stay private by default, but the network can still generate cryptographic proof that specific conditions are satisfied. Balance requirements, transaction validity, eligibility rules, and compliance checks can all be verified without exposing sensitive information.
Nothing is leaked. Nothing is blindly trusted. The proof speaks for itself.
Identity checks without turning users into targets
KYC and identity checks are unavoidable in regulated markets. The real problem is how most systems handle them — dumping personal data into massive databases and hoping nothing goes wrong. That’s a risk no one should be comfortable with.
Dusk avoids this by separating identity from activity.
Instead of placing personal information on-chain, Dusk relies on identity attestations. You can think of them as cryptographic proofs that confirm certain facts: this wallet passed KYC this entity is compliant, this participant meets jurisdictional requirements. The underlying documents and identity never needed to be revealed.
Smart contracts can require these attestations before allowing transfers or participation in regulated markets. Compliance happen automatically while user privacy remains intact.
Compliance that actually runs on-chain
Most compliance today still happens off-chain. It’s slow, manual, and expensive. Forms, reviews, approvals, delays. Dusk brings those rules into the protocol layer itself.
Through programmable compliance logic, attestations can represent things like sanction screening, investor classification, asset eligibility, or regulatory clearance. Smart contracts verify them instantly. If the rules aren’t met, the transaction simply doesn’t execute.
That shifts compliance from a human bottleneck to a deterministic system. Same rules. Same outcome. Every time.
Why audits matter more than hype
Institutions don’t chase narratives. They manage risk.
That’s why audits are non-negotiable. Dusk has undergone multiple independent security reviews across its protocol and tooling with a focus on both cryptographic integrity and system design. This matters for regulators and compliance teams who need confidence that the infrastructure can stand up to scrutiny.
Combined with cryptographic proofs, audits give regulators something rare in crypto: a system that can be examined without breaking privacy.
Why this matters for tokenization
Tokenized securities and real-world assets don’t escape the law just because they live on-chain. Ownership rules, transfer restrictions, reporting obligations none of that disappears.
Dusk’s architecture makes it possible to issue, trade, and settle regulated assets while staying inside legal boundaries. Privacy protects participants. Proofs protect the system. Compliance protects everyone involved.
That balance is exactly what institutions have been waiting for.
Being realistic about the limits
No blockchain magically solves regulation. Laws differ by region, interpretations change, and governance still matters. Dusk doesn’t replace lawyers or regulators. It gives them better tools to work with.
Real deployments still require trusted attesters, sound legal frameworks, and responsible governance. What Dusk removes is the unnecessary friction — the technical limitations that usually stop institutions from moving on-chain in the first place.
The takeaway
Dusk isn’t trying to rebel against financial law. It’s trying to modernize how compliance works on-chain.
Privacy by default. Compliance when required. Proof instead of exposure.
That’s not anti-crypto.
That’s crypto growing up.
#dusk @Dusk $DUSK

When people talk about blockchain they usually think about how easy it's to use.. The really big changes are happening behind the scenes. The plasma network is not a way to make payments. It is actually a good example of how to build things that work really well. It takes the things about Bitcoin like being reliable and the good things about new ways of agreeing on things like being fast.

The plasma network has something called PlasmaBFT at its core. PlasmaBFT is a way of making sure everyone agrees on things. It is based on something called the Fast HotStuff algorithm. This means that the network can make decisions quickly in less, than a second. In style blockchains making and checking blocks usually happens one after the other, which slows things down. PlasmaBFT changes this by doing the steps to propose, vote and confirm all at the time. This means PlasmaBFT can do these things fast.

The results of using PlasmaBFT are:

* Transactions are final in less than a second so you can be sure they will not change.

* The network can handle than 1,000 transactions per second.

This means the network can handle all the transactions that big financial systems need to make without slowing down. PlasmaBFT is really good, at handling a lot of transactions.Results: When you use Plasma you can be sure that once a block is confirmed it is really final. This is different from systems like PoW or early PoS chains where the results are not always certain.

The Reth Execution Layer: Plasma uses Rust for performance. To make PlasmaBFT faster Plasma uses something called Reth, which's short, for Rust Ethereum for its execution layer.

Plasma chose to use a client written in Rust for its execution layer. This gives the Plasma network some advantages.

Here are a few of these advantages:

* Memory Safety: The way Rust works helps to prevent mistakes and weaknesses that can be found in clients that use C++ or Go. This is because of Rusts ownership model.

Plasma ensures that once a block is confirmed on the Plasma network it is final. This is what Plasma calls results. The Reth Execution Layer is a part of what makes Plasma work so well.Modular EVM: Reth is compatible with Ethereum tools like MetaMask and Hardhat. This means Reth works with these tools perfectly. Reth allows plasma to make state transitions better for operations that happen a lot.

Developer Fluidity: If you know Solidity you can deploy to plasma away. You do not have to learn a language to use plasma. You get the things about Rust without the hassle.

$XPL : The Security Backbone

The network is easy to use for end users.. xpl is what keeps everything working correctly. XPL token is very important, for:

* Validator Staking: Securing the network is a job and it requires a commitment of xpl

The XPL is very important for things like DeFi logic and smart contract interactions.

This is because it helps prevent spam on the network and it rewards the people who help keep the network running.

Here are some key points about XPL:

* XPL is needed for transfers

* XPL helps prevent network spam

* XPL rewards infrastructure providers

The people who help keep the network running are called validators.

They get rewarded if they do a job and they get penalized if they do not.

This is called a "reward-slashing" model. It is used by @Plasma to make sure the validators are working properly.

The goal is to keep the network running all the time and to protect the integrity of the ledger.

The future of blockchain is not about making new apps.

It is about making sure the underlying layers are strong and fast.

This is what will make blockchain successful in the run and $XPL is a big part of that.

The $XPL helps make the network more resilient. It helps the network run faster.

So the $XPL is very important, for the future of blockchain. By integrating the security of Bitcoin-anchored state roots with the blazing speed of PlasmaBFT and Reth, plasma is building the definitive high-performance L1 for the next decade of finance.#plasma

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