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Walrus and the scale by which the true power of digital systems is measured
Today’s digital systems are going through a strange phase. Everything seems to be getting faster computing power is increasing, networks seem more robust, yet systems are still under stress more quickly than ever before. This paradox is not a coincidence but rather a result of the fact that we have started measuring progress with the wrong metrics. In most systems, speed has been made the criterion for success. Which system responds faster, which shows less latency, and which can handle more requests. But as the amount of data increases, these metrics become irrelevant. The real question is no longer how fast the system is but how stable it can be with the ever-increasing amount of data. This is where Walrus’s thinking stands out from the rest. Walrus doesn’t ignore speed but he doesn’t make it the central issue either. His point of view is that over time the real stress comes from the data. The more data grows, the more the very fabric of the system is tested. If the foundation is weak, speed is only a temporary benefit. Many digital systems work well at first, but as usage increases, they become more complex, cost increases and reliability begins to suffer. At this stage, temporary solutions are usually adopted, new layers are added, or the load is moved elsewhere. These are all temporary measures, not solutions to the underlying problem. Walrus looks at the problem from the ground up. The question here is not how to handle today’s load but how the system will behave when the data multiplies. That is why Walrus’ infrastructure is designed with long-term pressures in mind, rather than momentary needs. The goal is not for the system to just work but for it to not fall apart over time. This thinking becomes especially important in environments where data is constantly growing and access is always required. In such situations, speed becomes secondary and stability takes on the main value. Walrus recognizes this fact and builds its strategy on this basis. Ultimately, the success of modern digital systems will be determined by how reliable they remain over time, not by how impressive they initially appear. Walrus is moving forward with this future in mind. @Walrus 🦭/acc #walrus $WAL
Walrus and the problem with modern digital systems that grows over time
The biggest misconception about modern digital systems is that as computing power increases, other problems will automatically be solved. The reality is the opposite. Today’s systems don’t break down with speed they fail when the flow of data gets out of control. Almost every system seems stable when data is scarce. The real test comes when data volumes increase, access is required continuously and cost must be kept under control. This is where most infrastructures begin to show their limits. Data either becomes expensive or availability is affected or the system’s reliability weakens. Walrus was designed with this fundamental problem in mind. Here, data is not considered simply something to store but a burden that, if not properly distributed and managed will throw the entire system into disarray. Walrus’s design recognizes the fact that future digital systems must be able to operate not without data but with the pressure of data. Most systems are ad hoc. They make decisions based on today’s usage, ignoring tomorrow’s load. Walrus thinks the opposite. Its focus is on how the system will behave when the amount of data increases many times over when access demands are constant and when cost containment is essential. This thinking makes it inaccurate to call Walrus a generic data solution. It is actually a reflection of how digital infrastructure at large should be rethought. Where data is not a threat but a controllable factor. Where scaling does not mean failure but stability. The success of digital systems in the coming years will depend not on how many features they offer, but on how reliably they remain under load. Walrus is trying to be a practical answer to this question. @Walrus 🦭/acc #walrus $WAL
Why Walrus says the real problem with Web3 isn't scaling
Web3 development is often associated with issues of speed, fees and user interface but in reality the deeper problem lies elsewhere. The issue is not what blockchain apps can do but when and for how long they can do everything they promise. When a Web3 app is limited to a few hundred users, everything often works fine. As the amount of data grows, real usage begins and the app needs to access information continuously, the weaknesses of the infrastructure begin to emerge. Most projects here assume that the data will be “handled” automatically. This is the wrong assumption that is holding Web3 back. In the blockchain world, data is often either permanently stored on-chain or handed over to an external system. Both scenarios create problems. Permanent storage becomes expensive and inflexible, while external solutions raise questions of trust and authentication. The result is that apps become either expensive, unstable or both. This is where Walrus breaks with conventional thinking. It sees data as neither a burden nor a temporary problem. For Walrus, data is the foundation on which the entire system rests. That’s why it’s designed from the ground up to ensure that data is cheap, constantly available and verifiable across the network, no matter how large the scale. This approach represents a fundamental shift for Web3 apps. It means that developers no longer need to build separate solutions for data and apps don’t have to be designed with the fear that the next scale will break the infrastructure. Walrus tries to solve this problem from day one, rather than patching it later. That’s why it’s not accurate to call Walrus just a storage solution. It’s actually a reflection of what Web3 should be in the future. Where data is not a weakness but a strength and where apps are built on a foundation that works today and will continue to work tomorrow. If Web3 is to truly be adopted at scale, it needs an infrastructure that treats data as a solution, not a problem. Walrus is a serious step in that direction. @Walrus 🦭/acc #walrus $WAL
That’s why Walrus doesn’t force adoption. It gets the infrastructure right first and when the infrastructure is right the apps and users come automatically. @Walrus 🦭/acc #walrus $WAL
Walrus solves this fundamental problem. It makes large-scale data cheap, resilient and verifiable without burdening the chain. @Walrus 🦭/acc #walrus $WAL
Ve dnešních systémech je data buď nákladná, nebo nestabilní, nebo navždy zatěžují síť. Tento model není vhodný pro dlouhodobé využití. @Walrus 🦭/acc #walrus $WAL
Dostupnost dat: Nejvíce přehlížený problém kryptoměny Problém s Web 3 není jen v poplatcích nebo škálování. Skutečným překážkou je dostupnost dat. Pokud data nejsou spolehlivá a konzistentně dostupná, chytré kontrakty zůstanou jen teorií. @Walrus 🦭/acc #walrus $WAL
Why DUSK Is Positioned for the Next Phase of Crypto Adoption
The next phase of crypto will not be defined by more users or more hype. This phase will be defined by regulatory clarity institutional participation and compliant infrastructure The DUSK Network aligns on all three axes. Where most chains think of adding compliance later, DUSK has built it as a foundation. That’s why DUSK remains silent on short-term price narratives but is strategically positioned for long-term adoption. When regulated finance adopts blockchain, it will move towards networks that are built to comply with the rules from day one not patched later. DUSK falls into this category. @Dusk #dusk $DUSK
Why DUSK Is Positioned for the Next Phase of Crypto Adoption
The next phase of crypto will not be defined by more users or more hype. This phase will be defined by regulatory clarity institutional participation and compliant infrastructure. The DUSK Network aligns on all three axes. Where most chains think of adding compliance later, DUSK has built it as a foundation. That’s why DUSK remains silent on short-term price narratives but is strategically positioned for long-term adoption. When regulated finance adopts blockchain, it will move towards networks that are built to comply with the rules from day one not patched later. DUSK falls into this category. $DUSK #dusk @Dusk_Foundation
Model selektivního sdělování DUSK řeší skutečný regulativní problém
Největším problémem, se kterým se regulátoři potýkají v oblasti kryptoměn, není skrytá data, ale to, že k nesprávným osobám je přístupné nesprávné data. U veřejných blockchainů je vše viditelné navždy – tento model může být přijatelný pro maloobchod, ale ne pro regulované trhy. Model selektivního sdělování DUSK tento problém řeší přímo. V něm: Uživatel nebo entita může ověřit svou identitu a prokázat soulad s právními předpisy bez toho, aby byla celá data rozšířena po síti. Tato vlastnost činí DUSK vhodným pro bezpečnostní cenné papíry, cenné papíry podobné akciím a regulované aktiva. Toto není teoretický výhoda, ale regulativní požadavek, který většina řetězců dodnes ignoruje.
Why DUSK Is Built for Regulated Finance Not Crypto Hype
Most blockchain projects start with the same question “How do we attract retail users?” DUSK Network asked a different question at the very beginning: “What does regulated finance demand from blockchain?” This difference is reflected in the DNA of the entire project. DUSK’s focus is not DeFi hype, meme culture or speculative narratives. Its focus is: Regulated digital securities and institutional-grade privacy. This is why DUSK’s technology does not just process transactions but is based on compliance-friendly proof generation. Zero-Knowledge Proofs are not a marketing term here but a practical necessity so that institutions can also comply with regulations and sensitive data is not exposed on the public chain. This is what makes DUSK more of a financial infrastructure than a “crypto project”. @Dusk #dusk $DUSK
The next phase of crypto will not come from loud voices but from quiet, trusted systems. That understand privacy and the law. DUSK Network is building in this direction. @Dusk #dusk $DUSK
Most blockchains are built for retail users. DUSK starts with the problems of institutions. That’s why it’s not a short-term trend but a long-term financial infrastructure that is ready for the coming regulated crypto era. @Dusk #dusk $DUSK
Traditional financial institutions want to embrace crypto but three concerns hold them back: Regulatory instability Data security Legal compliance DUSK doesn’t ignore these concerns it addresses them in the core design. @Dusk #dusk $DUSK
Privacy does not mean avoiding the law. In fact, strong privacy is one that works within the legal system. This is the DUSK model prove the necessary information, hide the unnecessary data. @Dusk #dusk $DUSK
Technologie se vyvíjí s časem, nemusíte se bát kvantových útoků, rozpor je vždy aktualizován!
Specializovaná organizace zabývající se odolnými proti kvantovým útokům kryptografií BTQ Technologies (BTQ) nedávno zveřejnila řešení pro ochranu blockchainu Bitcoin, které se jmenuje testovací síť bez povolení s názvem "Bitcoin Quantum" (Bitcoin kvantový), která má podle tvrzení schopnost zvládnout kvantové výzvy.
Chris Tam, vedoucí partnerství BTQ, uvedl, že Bitcoin Quantum je veřejně dostupná síť, ve které mohou horníci, vývojáři, výzkumníci a uživatelé provádět testy odolnosti proti kvantovým transakcím a zjistit reálné kompromisy před tím, než se diskuse o aktualizaci hlavní sítě stane naléhavou. Tento systém obsahuje prohlížeč bloků a horníky, které zajišťují okamžitou dostupnost.
Tam vysvětlil, že v srpnu 2024 byl algoritmus odolný proti kvantovým útokům známý jako "Dilithium" (oficiální název: ML-DSA založený na modulárních mřížkách) v USA standardizován, a právě tento algoritmus je používán v síti Bitcoin Quantum. Tento algoritmus zatím není široce používán v rychle se vyvíjejících oblastech jako jsou kryptoměny, hlavně kvůli vysokým nákladům na provoz. Ve srovnání s aktuálními digitálními podpisy používanými při odesílání informací na blockchain nebo dokonce zpráv přes WhatsApp je velikost dat při použití algoritmů odolných proti kvantovým útokům alespoň 200krát větší. Protože i když existují řešení pro kvantové riziko, samotná jejich implementace přináší problémy, zejména výkonové a nákladové nároky při širokém nasazení.#加密市场观察 $LINEA {future}(LINEAUSDT) {future}(VIRTUALUSDT)
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