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Privacy is a foundational pillar of Dusk Network, not an optional feature layered on top of an existing blockchain design. Built to serve regulated financial markets, Dusk Network integrates advanced cryptographic and network-level privacy techniques that protect sensitive information while still enabling compliance and auditability. These privacy mechanisms allow institutions and users to transact securely without exposing identities, values, or metadata on a public ledger.
Protecting Participant Identities
Dusk Network uses stealth addresses to conceal the identities of transaction participants. Instead of reusing a public address that can be easily tracked, a unique one-time address is generated for each transaction. This ensures that both the sender and the receiver remain unlinkable on-chain, preventing observers from building transaction histories or profiling users. Stealth addresses are essential for financial privacy, especially in scenarios involving asset transfers, settlements, or confidential trading.
Hiding Transaction Amounts
To protect transactional value, Dusk Network implements Ring Confidential Transactions (RingCT). This technique hides the amount being transferred by mixing it with other transactions and cryptographic commitments. While the network can still verify that transactions are valid and balanced, external observers cannot determine how much value was moved. This level of confidentiality is crucial for institutional finance, where revealing transaction sizes could expose trading strategies or sensitive business information.
Secure Key Distribution
Dusk Network enhances security through Non-Interactive Secret Sharing (NISS), a cryptographic method that allows secret keys or sensitive data to be distributed without direct communication between parties. By removing the need for interaction, NISS reduces attack surfaces and eliminates risks associated with key exposure during transmission. This technique strengthens wallet security, validator operations, and identity-related processes across the network.
Preventing Metadata Leakage
Beyond on-chain privacy, Dusk Network addresses privacy at the network level with an anonymous networking layer. This layer obscures metadata such as IP addresses and message routing paths, preventing adversaries from linking transactions to physical locations or network identities. By protecting against traffic analysis and metadata leakage, Dusk ensures that privacy is preserved end-to-end — from transaction creation to final settlement.
Privacy Designed for Real-World Finance
Together, these privacy techniques form a comprehensive confidentiality framework that sets Dusk Network apart from traditional blockchains. By hiding identities, transaction values, secret keys, and network metadata, Dusk enables secure and private financial activity while still supporting selective disclosure and regulatory compliance. This balance makes Dusk Network uniquely suited for building the next generation of confidential, compliant, and institution-ready decentralized finance.
@Dusk #dusk $DUSK

Dusk Network is designed to support regulated financial applications without sacrificing decentralization or privacy. A key component enabling this vision is DuskEVM, an EVM-equivalent execution environment that brings Ethereum compatibility into Dusk’s privacy-focused ecosystem. By combining familiar Ethereum development workflows with Dusk’s native privacy and compliance infrastructure, DuskEVM lowers the barrier for developers while unlocking new possibilities for regulated and confidential DeFi.
EVM-Equivalent, Not Just Compatible
DuskEVM is built to be EVM-equivalent, meaning it faithfully replicates Ethereum’s execution environment rather than offering a limited compatibility layer. Existing Ethereum smart contracts can be deployed on DuskEVM with minimal or no modification, ensuring predictable behavior and seamless migration. This approach allows developers and institutions to reuse battle-tested Solidity code while benefiting from Dusk Network’s advanced infrastructure.
Familiar Tooling for Developers
To accelerate adoption, DuskEVM supports standard Ethereum development tools such as Truffle and Hardhat. Developers can follow the same workflows they already know — compiling, testing, and deploying smart contracts — without learning an entirely new stack. This familiarity significantly reduces friction for teams moving from Ethereum or building multi-chain applications that include Dusk as a settlement layer.
Privacy and Compliance by Design
While DuskEVM preserves Ethereum’s execution model, it inherits Dusk Network’s privacy and compliance features at the protocol level. Applications deployed on DuskEVM can leverage selective disclosure, confidential transactions, and identity-aware logic designed for regulated markets. This makes it possible to build DeFi applications, tokenized assets, and financial instruments that meet regulatory requirements without exposing sensitive user or transaction data.
Built on the OP Stack
DuskEVM is built using the OP Stack, a modular and scalable framework originally developed for optimistic rollups. This choice allows DuskEVM to benefit from proven Ethereum research while remaining flexible and future-proof. The OP Stack’s modularity aligns with Dusk’s architecture, where execution environments operate on top of a secure and final settlement layer.
Scalability with Proto-Danksharding (EIP-4844)
With support for proto-Danksharding (EIP-4844), DuskEVM is positioned for improved data throughput and reduced transaction costs. EIP-4844 introduces blob-based data availability, enabling more efficient scaling without compromising security. This is particularly important for high-volume financial applications that require predictable costs and performance.
@Dusk #dusk $DUSK

Dusk Network is a privacy-focused Layer-1 blockchain purpose-built for regulated financial markets. Unlike traditional blockchains that force a trade-off between transparency and compliance, Dusk Network introduces a new model where confidentiality, auditability, and regulatory alignment coexist. At the heart of this architecture lies DuskDS, the network’s settlement and consensus layer, which provides the security and finality required for real-world financial use cases.
The Backbone of the Network
DuskDS (Dusk Distributed Settlement) is the core layer responsible for consensus, data availability, and transaction finality across the Dusk Network. It ensures that all network activity is securely ordered, validated, and permanently recorded. This layer is designed to meet institutional standards, where certainty of settlement and resistance to reorganization are non-negotiable requirements.
Immediate and Deterministic Finality
One of DuskDS’s most critical features is its ability to deliver immediate finality. Once a transaction is confirmed, it is irrevocably settled and cannot be rolled back. This applies not only to public transactions but also to privacy-preserving and confidential transactions, making Dusk suitable for regulated environments such as capital markets, securities issuance, and compliant DeFi. This deterministic behavior mirrors traditional financial settlement systems while retaining decentralization.
Privacy Without Compromising Consensus
DuskDS is designed to natively support privacy technologies such as zero-knowledge proofs, allowing confidential transactions to be validated without revealing sensitive data. The consensus mechanism verifies correctness and compliance while preserving user privacy, enabling selective disclosure when required by regulators or auditors. This makes DuskDS fundamentally different from blockchains where privacy is added as an afterthought.
By combining instant finality, privacy-aware consensus, and modular scalability, DuskDS enables Dusk Network to function as a next-generation infrastructure for regulated finance. It supports tokenized securities, confidential trading, and compliant DeFi applications without relying on intermediaries.
@Dusk #dusk $DUSK

As artificial intelligence becomes increasingly data-hungry, the tension between model performance, data privacy, and ownership continues to grow. Traditional AI training pipelines rely on centralized servers, creating single points of failure, privacy risks, and unequal control over data and models. FLock.io emerges as a powerful alternative—redefining how AI models are trained through decentralized, privacy-preserving collaboration, with Walrus Protocol serving as its foundational data and storage layer.
Understanding FLock.io’s Mission
FLock.io operates in the domain of federated learning and collaborative AI model development. Instead of pooling raw data into a central repository, federated learning allows multiple participants (nodes) to train a shared model locally and only exchange model updates—such as parameters or gradients. This approach preserves data sovereignty while enabling collective intelligence.
FLock.io extends this concept further by decentralizing not just computation, but also storage, coordination, and access control, ensuring that AI collaboration remains trust-minimized and censorship-resistant.
Walrus Protocol as the Decentralized Data Backbone
At the core of FLock.io’s architecture lies Walrus Protocol, a decentralized storage network purpose-built for large, unstructured data. In the context of AI training, Walrus plays a critical role by securely storing.
Model parameters and checkpoints
Encrypted gradients from training rounds
Training outputs and experiment artifacts
Auxiliary datasets and metadata
Unlike traditional decentralized storage systems, Walrus is optimized for high-throughput, verifiable access, making it suitable for iterative AI workflows where models and parameters are frequently updated and retrieved.
By anchoring data availability and metadata on-chain (via Sui), Walrus ensures that all participants in a federated learning process can independently verify the existence and integrity of training artifacts—without needing to trust a central authority.
Secure Collaboration Across Federated Nodes
FLock.io’s integration with Walrus enables secure, large-scale collaboration across geographically and organizationally distributed participants. Each federated node.
Trains a local model on private data.
Encrypts gradients or parameters.
Uploads them to Walrus for decentralized availability.
Retrieves and aggregates updates from other participants—without ever exposing raw data.
This process creates a trust-minimized learning loop where contributors retain full control over their data, yet still benefit from collective model intelligence.
Real-World Use Cases
The FLock.io + Walrus stack unlocks several powerful applications.
Community-Owned AI Models
Communities can collaboratively train and govern AI models without relying on big tech platforms, ensuring shared ownership and transparent incentives.
Secure Gradient Exchange

Research institutions and enterprises can jointly train models while protecting proprietary or sensitive datasets.
Encrypted AI Research Storage

Decentralized AI labs can store experiment results, models, and training logs in an encrypted yet verifiable manner—ideal for open but privacy-respecting research.
Privacy-Preserving Federated Learning Networks
Healthcare, finance, and identity systems can leverage federated AI without violating data protection or compliance requirements.
@Walrus 🦭/acc #walrus $WAL

In the rapidly evolving world of Web3 infrastructure, the lines between decentralized storage and decentralized finance (DeFi) are blurring. What started as a protocol to solve one of blockchain’s hardest problems — scalable, resilient storage for large unstructured data — is now positioning itself as a full‑stack DeFi ecosystem that could redefine how financial apps access, secure, and leverage data at scale. That project is Walrus Protocol, a decentralized storage network built on the Sui blockchain.
Walrus as a Financial Layer
Walrus’s core mission is clear: give developers and users a way to store large blobs — videos, NFTs, datasets, or AI training content — in a decentralized environment with high availability and low cost. Built on top of the Sui network’s fast and programmable architecture, Walrus turns data storage into a programmable asset, not just a backend service.
Unlocking Capital Efficiency
One of the central barriers in Proof‑of‑Stake systems is the illiquidity of staked tokens. When you stake a token to secure a network, you often must lock it up for a period, limiting its usability in the broader DeFi landscape. Walrus tackles this through liquid staking derivatives (LSTs) — tokens that represent staked WAL and remain freely tradable and usable in other DeFi applications.
How Liquid Staking Works on Walrus
Delegation for Security: WAL holders delegate tokens to storage node operators, who then earn rewards for reliably storing and serving data.
Issuance of Derivative Tokens: Instead of locking up WAL indefinitely, users receive a liquid token that represents their stake.
Capital Efficiency: These LSTs can be used in DeFi — such as liquidity pools, yield farming, or lending protocols — while continuing to accrue staking rewards.
The emergence of these derivative tokens means Walrus isn’t just a network to secure data — it becomes a liquidity layer. By enabling tokenized staking assets that retain financial utility, Walrus aligns itself with trends in DeFi that have transformed other ecosystems. This unlocks more sophisticated strategies for users and developers alike, letting them maximize returns without sacrificing network security.
@Walrus 🦭/acc #walrus $WAL

In the evolving landscape of blockchain infrastructure, Walrus Protocol has emerged as a game-changer in decentralized storage. Designed to address the challenges of storing massive, unstructured data that traditional blockchains struggle with, Walrus combines high-performance architecture with innovative tokenomics aimed at fostering long-term sustainability.
Solving the Storage Gap
Traditional blockchains excel at securing small transactional data, but they are not optimized for large-scale storage. Walrus Protocol bridges this gap by offering a decentralized hard drive built on the Sui blockchain. It allows developers and enterprises to store data efficiently without relying on centralized servers, ensuring security, transparency, and redundancy.
Tokenomics Built for Sustainability
At the core of Walrus Protocol’s ecosystem is its native token, WAL. While WAL serves multiple roles—including payment for storage, staking, and governance—the protocol’s tokenomics are designed to encourage long-term participation and network stability.
Large Community Share
A standout feature of WAL’s tokenomics is the significant allocation to the community, accounting for over 60% of the total supply when combined with user incentives and ecosystem grants. This structure ensures that the protocol is not concentrated in the hands of early investors or a small team, but rather distributed among developers, storage providers, and everyday users. By prioritizing community ownership, Walrus fosters active participation and decentralization, critical elements for the protocol’s success.
Long Vesting Schedule
To complement the large community share, WAL employs a multi-year vesting schedule for contributors, early investors, and ecosystem reserves. Tokens are gradually unlocked over time, reducing the risk of sudden market sell-offs and providing long-term stability. This design aligns incentives between the protocol and its participants, ensuring that stakeholders are committed to the network’s growth rather than short-term gains.
Since its 2024 Devnet launch, Walrus Protocol has steadily expanded its ecosystem. Developers building dApps on Sui can leverage Walrus for secure, scalable storage, while users and enterprises benefit from a transparent, decentralized infrastructure. As adoption grows, demand for WAL tokens increases, creating a positive feedback loop that fuels further development and incentivizes network participants.
@Walrus 🦭/acc #walrus $WAL

In the world of digital finance, the demand for stable, fast, and scalable money has never been higher. Stablecoins have emerged as the backbone of this ecosystem, providing a reliable bridge between traditional finance and blockchain technology. Plasma (XPL) is a Layer-1 blockchain purpose-built to meet this demand, designed from the ground up with a stablecoin-first architecture. Unlike general-purpose blockchains, Plasma focuses on delivering optimized performance specifically for stablecoin transactions, ensuring speed, security, and reliability at every level.
Plasma (XPL) is its Stablecoin-First Architecture, which enables high-volume, reliable stablecoin operations. By prioritizing stablecoins in its core design, Plasma addresses the limitations faced by traditional blockchains, such as network congestion, high fees, and slow transaction finality. Users and enterprises benefit from predictable transaction behavior, making Plasma an ideal choice for everyday payments, remittances, and large-scale financial applications.
Transaction speed and efficiency are crucial in the stablecoin ecosystem, and Plasma delivers on both fronts. With near-instant finality and minimal fees, transactions on Plasma occur in seconds, not minutes. This speed makes it practical for retail merchants, cross-border payments, and other real-time financial activities where delays can disrupt operations or reduce trust in digital currency systems.
Handling high-value, stable-value assets requires a blockchain that is not only fast but robust against attacks and manipulation. Plasma’s consensus mechanisms and network architecture ensure that all transactions are secure, while also maintaining transparency and auditability for users and regulators alike. This combination of speed, reliability, and security makes Plasma particularly appealing to enterprises and financial institutions.
Unlike legacy blockchains that slow down as transaction volume grows, Plasma can handle massive throughput without sacrificing performance. This scalability ensures that as adoption increases—whether for global stablecoin transfers, merchant payments, or decentralized finance applications—the network remains fast, efficient, and reliable.
Compliance and regulatory alignment are increasingly critical in the stablecoin sector, and Plasma addresses this need proactively. By supporting transparent auditing, reporting, and integration with regulatory frameworks, Plasma makes it easier for institutions to adopt digital dollars and other stablecoins without facing unnecessary legal hurdles. This positions Plasma as a trusted and compliant platform for the next generation of digital money.
@Plasma #Plasma $XPL

In the history of decentralized infrastructure, June 18, 2024, marks a pivotal milestone: the official unveiling of the Walrus Protocol in its Developer Preview (Devnet) phase.
Launched by Mysten Labs—the architects behind the Sui blockchain—this debut introduced a "decentralized hard drive" designed specifically for the massive, unstructured data blobs that traditional blockchains struggle to handle
Solving the "Storage Gap"
developers faced a difficult choice: store large files on expensive, rigid blockchains or rely on centralized cloud providers like AWS, which contradicts the ethos of Web3. The June 2024 Devnet launch was designed to prove that a third way existed.
The primary goal of this initial phase was to gather feedback from Sui builders and test the protocol's core technical claims:
Massive Scalability: Storing gigabytes of data at a fraction of traditional on-chain costs.High Resilience: Ensuring data stays online even if a large portion of the network fails.Speed: Delivering fast "write" and "read" operations for rich media like video and gaming assets.
Technical Debut: "Red Stuff" and Sui Coordination
The Devnet launch was the first time the public saw Walrus’s secret weapon in action: Red Stuff.
1. The Red Stuff Encoding
Walrus introduced a novel 2D erasure coding algorithm. Instead of just making copies of a file, it breaks data into "slivers" arranged in a matrix. This allows the network to reconstruct an entire file even if two-thirds of the storage nodes are offline. During the Devnet phase, this was managed by 10 storage nodes operated by Mysten Labs to ensure stability while testing these recovery limits.
2. Sui as the "Control Plane"
The June launch highlighted the symbiotic relationship between Walrus and Sui. While the actual data blobs live on the Walrus nodes, the metadata (the "map" of where the data is) is managed by Sui smart contracts. This allows developers to program storage directly into their dApps, treating a video or a dataset as a verifiable on-chain object.
What Developers Received
In June 2024, Mysten Labs provided a robust toolkit for early adopters to begin experimenting:
Binary Clients: Command-line interfaces (CLI) for macOS and Ubuntu.Developer APIs: Both JSON and HTTP APIs to integrate Walrus into existing applications.Aggregator & Publisher Services: Tools to help bundle data and broadcast it to the decentralized network.Sui Testnet Integration: For this preview, Sui Testnet tokens were used as the primary currency to "buy" storage space.
From NFTs to AI
The Devnet launch immediately sparked a wave of innovation. Developers began building prototypes for:
Decentralized Media: Hosting NFT images and videos that are actually decentralized, not just "linked" to a central server.AI Pipelines: Storing massive training datasets and model weights with cryptographic provenance.On-Chain Web: Creating "Walrus Sites" where the entire frontend—HTML, CSS, and JS—is stored on the protocol, making the website as unstoppable as the blockchain itself.
@Walrus 🦭/acc #walrus $WAL

Plasma building foundational infrastructure for a new global financial system where money moves at internet speed, with zero fees, and full transparency. It's goal is to bring trillions of dollars onchain, unlocking an open, programmable layer for money itself. XPL is the core asset securing this system. Just as sovereign currencies and central bank reserves underpin traditional finance, XPL safeguards the integrity of this new system and aligns long-term incentives as stablecoin adoption scales.
XPL is the native token of the Plasma blockchain. It is used to facilitate transactions as well as to reward those who provide network support by validating transactions. XPL is similar in these ways to Bitcoin (BTC) on the Bitcoin blockchain or Ethereum (ETH) on the Ethereum blockchain.
from mechanics to distribution to partnerships, with a focus on network and campaign incentives designed to scale Plasma’s reach beyond crypto audiences and into traditional financial institutions and legacy systems. By building the network from the ground up, we’ve introduced technical and economic mechanisms that position XPL as a foundational asset with opportunities to drive ecosystem expansion in ways not yet seen in prior network models.
XPL Distribution
The initial supply will be 10,000,000,000 XPL at mainnet beta launch, with programmatic increases further described in the “Validator Network” section below. The XPL distribution and unlock schedules are as follows.

XPL Public Sale
10% (1,000,000,000 XPL). Plasma announced the XPL public sale, where 10% of the XPL supply (1,000,000,000 XPL) was allocated to participants in the deposit campaign.
Ecosystem and Growth
40% (4,000,000,000 XPL)Plasma has an opportunity to rewrite existing financial systems, but it’s admittedly a capital-intensive endeavor. We plan to leverage XPL to intensify Plasma’s network effects, not just in crypto-native ecosystems, but across traditional finance and capital markets as well. ‍
Team
25% (2,500,000,000 XPL)Rewriting legacy financial systems requires industry-leading talent and attracting that talent requires long-term incentive alignment. As such, we’ve allocated 25% of the XPL supply (2,500,000,000 XPL) to incentivize current and future service providers.
Investors
25% (2,500,000,000 XPL) In order to build a blockchain infrastructure that will underwrite our mission to rewrite financial legacy systems, we needed to raise capital from the world’s leading investors. As such, Plasma received investments from high-caliber investors such as Founder’s Fund,Framework, and Bitfinex, among others, to support the development of the Plasma blockchain. In addition to high-caliber investors, Plasma has also pushed a community-aligned approach from day 1 with the first Echo sale to private investors in the seed round. XPL sold to investors are unlocked on the same schedule as the team allocation.

@Plasma #Plasma $XPL

In a move signaling the convergence of decentralized storage and cutting-edge AI infrastructure, Yotta Labs has announced the adoption of the Walrus Protocol to power storage for its large-scale decentralized AI workloads. This collaboration highlights the growing demand for secure, scalable, and efficient storage solutions capable of supporting the next generation of AI applications.
Why Walrus Protocol?
AI workloads, especially those that are decentralized or distributed, generate massive amounts of data that must be reliably stored, accessed, and updated. Traditional cloud storage solutions, while fast, are often costly, centralized, and vulnerable to downtime, which can hinder performance and slow AI model training.
Enter Walrus Protocol — a programmable decentralized storage network that provides:
High availability: Distributed storage nodes ensure that data remains accessible even if some nodes go offline.
Erasure-coded redundancy: Data is broken into shards and distributed across multiple nodes, providing fault tolerance without excessive storage overhead.
Cost efficiency: By leveraging a decentralized network, storage costs are lower than comparable cloud solutions.
Cross-chain interoperability: Though native to the Sui blockchain, Walrus can support AI projects operating on multiple blockchain ecosystems.
For Yotta Labs, these capabilities mean large AI datasets and model checkpoints can be reliably stored while maintaining transparency, verifiability, and decentralized control.
Scaling Decentralized AI Workloads
Decentralized AI systems often rely on collaborative computing across multiple nodes, whether for model training, inference, or data sharing. The challenge lies in efficiently distributing massive datasets across the network while maintaining data integrity and security.
By integrating Walrus, Yotta Labs can:
Store AI datasets and model weights securely across a decentralized network.
Ensure high-speed retrieval for nodes performing computation on large-scale models.
Enable verifiable AI training, where each update and dataset can be audited and traced on-chain.
Reduce infrastructure costs, freeing up resources for more AI development and experimentation.
This partnership demonstrates how decentralized storage is becoming mission-critical infrastructure for AI projects that prioritize transparency, reliability, and cost efficiency.
Implications for the Web3 and AI Ecosystem
The adoption of Walrus by Yotta Labs marks a significant milestone in the intersection of AI and decentralized infrastructure. Key implications include:
Decentralized AI adoption: Storage bottlenecks have historically limited the scale of decentralized AI projects. Walrus addresses this barrier, opening the door to more ambitious AI workloads.
Institutional readiness: Both Walrus and Yotta Labs operate with standards that appeal to institutional investors and enterprise clients, supporting regulated AI applications on-chain.
Cross-chain synergy: Projects on Solana, Ethereum, and Sui can leverage Walrus for a unified, decentralized storage layer, enabling multi-chain AI applications.
This collaboration reflects a broader trend: decentralized infrastructure is increasingly being recognized as essential for AI and Web3 ecosystems, not just as a conceptual improvement but as a practical solution for real-world workloads.
@Walrus 🦭/acc #walrus $WAL

Decentralized storage is revolutionizing how data is preserved and shared in Web3. But beneath the surface of any storage network lies a critical question: what do nodes actually store? In Walrus Protocol, this is where the magic of RedStuff erasure coding comes in.
The Building Blocks of Storage
Unlike traditional storage systems where nodes might keep full copies of files, Walrus uses slivers — tiny, encoded fragments of a larger dataset.
A sliver is a single fragment derived from either:
a row code, or
a column code
from a two-dimensional encoding of the original blob. This design is part of what makes Walrus both efficient and secure.
Nodes Store Only a Random Subset
Every node in the Walrus network doesn’t hold entire rows or columns. Instead, each node stores a small, randomly assigned subset of slivers. This approach has multiple advantages:
Efficiency: Nodes only store a fraction of the data, reducing storage costs and bandwidth requirements.
Resilience: Losing a single node doesn’t endanger the entire blob — the data can be reconstructed from remaining slivers.
Scalability: As more nodes join the network, the system can store larger datasets without replicating full copies across every node.
Security Through Fragmentation
Storing only slivers also strengthens security:
No single node has meaningful information alone: Even if a node is compromised, it cannot reconstruct the original blob.
Collusion is required to attack availability: An attacker would need to control a significant portion of nodes storing overlapping slivers to disrupt access.
This design ensures that data availability is robust even in adversarial environments, which is critical for decentralized applications that depend on reliable storage.
Why This Matters
By storing slivers rather than entire files, Walrus achieves a balance between efficiency, security, and reliability:
Data is protected from malicious nodes
Storage costs remain low
The network can scale to accommodate massive datasets, from NFTs and AI models to decentralized applications
In essence, slivers are the secret to making decentralized storage both practical and secure.
In Walrus Protocol, nodes don’t just store files — they store carefully encoded slivers that, when combined across the network, ensure data is always available, private, and resilient. This is the core principle that enables Walrus to provide efficient, Byzantine-resilient storage at scale.
@Walrus 🦭/acc #walrus $WAL