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$BTC 币安红包，点我领取。

$XMR Is Khamenei transferring via Monero?

$ASTER Do not迷信有钱人, rich people are just rich韭菜.

$ETH through is up to 5000.

$PEPE This is the bottom, the 60 level has been stabilized, tonight aiming for 70, after stabilizing at 70, just remove one zero. If it breaks below the yellow line, boldly go for the bottom, around 55, Wugao is very certain that this year it will definitely reach 0.00069 USD.

A Glimpse into the Future: Technical Focus of Dusk's Next Phase from the Development Roadmap

Mainnet launch is a milestone, not an end. According to Dusk's disclosed roadmap, the next phase of development will center on two major axes: "Scalability" and "Deepening Applications," aiming to transform technical advantages into unshakable market dominance.

1. Scalability Axis: Layer 2 Solution "Lightspeed"

Objective: Significantly increase network throughput and reduce transaction costs while maintaining the security and compliance of Layer 1 (mainnet), enabling large-scale, high-frequency financial applications.

Significance: This is key to attracting a broader range of DeFi applications and retail users. As an EVM-compatible L2, Lightspeed is poised to become a high-speed bridge connecting Ethereum's vast liquidity with Dusk's compliance features.

2. Deepening Applications Axis: Maturation of Core Protocol and Enhancement of Ecosystem Tools

Continuous optimization and feature enhancement of the Zedger/Hedger protocol to support more complex financial products.

Wider integration and standardization of the Citadel identity protocol, reducing integration barriers for application developers.

Enrichment of developer toolkits, including more comprehensive SDKs, local test environments, and deployment tools, to improve the development experience.

Core Challenge: Balancing the advancement of these two axes is critical. L2 development must not compromise the mainnet's compliance and security safeguards; core protocol iterations must maintain backward compatibility to protect early ecosystem applications. The performance in the next phase will test Dusk's engineering team's long-term execution capability.

Dusk Quick Facts: Roadmap execution typically proceeds in phases, with thorough validation on testnets before deployment to mainnet, reflecting the cautious principles required for financial infrastructure. #dusk $DUSK @Dusk

Dynamic Focus: Observing Dusk's 'Real-World' Strategy Through the NPEX Collaboration

Dusk's partnership with NPEX, a regulated trading platform in the Netherlands, is far more than just an ordinary industry news item. It marks a pivotal move in Dusk's strategy—from a 'technical blueprint' to 'financial practicality,' clearly revealing its market approach.

Collaboration Deep Dive:
Asset Anchoring: NPEX plans to tokenize existing securities worth €300 million on its platform. This brings Dusk its first wave of high-value, real-world asset traffic (TVL), rather than experimental assets.
Trust Transfer: As a licensed financial entity, NPEX's choice serves as the strongest third-party endorsement of Dusk's 'compliance capability.' This is akin to dressing Dusk's technology in a 'financial suit,' significantly enhancing its credibility with other institutions.
Process Validation: This collaboration will fully validate the feasibility of Dusk's tech stack across the entire lifecycle—asset issuance, investor KYC/AML integration, secondary market trading, and automated compliance reporting—a valuable 'stress test.'

Strategic Signal:
This clearly demonstrates Dusk's 'Lighthouse Strategy': not pursuing scattered users, but concentrating efforts on securing high-impact, benchmark institutions. By successfully serving one NPEX, Dusk aims to convince ten, or even a hundred, similar financial platforms. It shows Dusk deeply understands that in the financial sector, reputation and case studies carry far more weight than technical specifications.

Dusk Quick Insight: In such collaborations, Chainlink oracles play a critical role, reliably transmitting NPEX's official data (such as asset net values and compliance status) to the Dusk blockchain, ensuring accurate anchoring between on-chain assets and off-chain rights.

#dusk $DUSK @Dusk

Core Insights: Master Dusk's Three Philosophies in Three Minutes

Understanding Dusk doesn't require diving into technical details right away. Behind it runs three core design philosophies—grasping these is the key to understanding all of Dusk's technical choices.
Philosophy One: Compliance is the 'infrastructure' at the protocol layer, not an 'add-on' at the application layer.
Dusk believes that true financial-grade blockchain compliance must be embedded at the network's foundational level, just like TCP/IP. Therefore, its auditable privacy and identity verification frameworks are natively built into the protocol layer. This means developers no longer need to 'patch' compliance issues; applications run inherently in a compliant environment, significantly reducing adoption risks and costs for financial institutions.
Philosophy Two: Modularity is the 'only solution' to address complex financial needs.
Financial scenarios vary widely: some require ultimate privacy, others prioritize development efficiency. Dusk addresses this through a modular architecture (such as a layered settlement layer and dual virtual machines—Dusk VM/EVM). This 'use the right tool for the right job' approach ensures the network can handle complex privacy-focused securities contracts while remaining compatible with the vast Ethereum ecosystem, achieving a balance between flexibility and specialization.
Philosophy Three: User experience and regulatory requirements must achieve 'balance' through cryptography.
Dusk rejects extreme approaches like sacrificing user privacy for regulation or opposing regulation in pursuit of freedom. Instead, it leverages cryptographic techniques like zero-knowledge proofs, enabling users to prove compliance while protecting their data (e.g., via the Citadel protocol), allowing regulators to verify legality without accessing private information. This creates a new trust paradigm: trust comes from mathematical proof, not data surrender.
Dusk Quick Facts: Dusk's testnet is named 'Dusk 2', and its mainnet upgrade is a meticulously planned engineering project spanning several years, with each step rigorously audited—reflecting its 'financial-grade' rigor, not a rush to launch.
#dusk $DUSK @Dusk

Walrus Anti-Sybil Attack Mechanism: Dynamic Node Reputation System Based on Multi-Dimensional Behavioral Graph

To prevent attackers from creating a large number of fake nodes (Sybil attacks) to manipulate the network or骗取 rewards, Walrus has established a dynamic reputation system based on a multi-dimensional behavioral graph, rather than a simple staking threshold.

Reputation Evaluation Dimensions:

Network Behavior Graph Analysis: Analyzes connections, communication patterns, and transaction relationships between nodes to identify clusters of nodes controlled by the same entity. Node groups with abnormally dense internal communications will be flagged and have their overall cluster reputation weight reduced.
Storage Service Consistency Verification: The system sends identical challenge requests to different nodes and compares their response times and content consistency to detect coordinated cheating behavior.
Historical Contribution Decay Model: Reputation scores are not permanently accumulated; instead, a model similar to "exponential decay" is used, giving much higher weight to recent performance than historical performance. This forces nodes to continuously maintain good behavior and prevents "one-time effort, lifelong benefit".

Reputation Application:

Reputation scores directly affect a node's priority in storage order matching, reward coefficients, and challenge frequency. Nodes with low reputation will have significantly reduced chances of obtaining orders and earning rewards, and will face stricter monitoring, thereby substantially increasing the economic cost of Sybil attacks.
#walrus $WAL @Walrus 🦭/acc

Walrus Enterprise-Compliant Storage Framework: Verifiable Access Control and On-Chain Audit Logs

To meet the stringent requirements of enterprise clients regarding data sovereignty and compliance auditing, the Walrus protocol has designed a verifiable access control and tamper-proof audit log framework, making it a viable decentralized storage solution for enterprises.
Core Components:
On-Chain Policy Contracts: Enterprises can encode data access policies (e.g., "decryption only allowed by nodes from a specific region," "requires signature from a designated administrator key") into smart contracts and bind them to storage orders.
Zero-Knowledge Access Credentials: Authorized users prove to the policy contract that they meet the access conditions (e.g., possessing a specific identity credential) without revealing their actual identity, thereby obtaining decryption key fragments.
On-Chain Audit Trail: All metadata from data access requests (e.g., requester's anonymous ID, request time, data hash, policy validation result) are recorded as events on the blockchain, forming an immutable audit log.
Compliance Value:
Enterprises can independently verify on the Sui blockchain whether their data in the Walrus network has been accessed strictly according to predefined policies, without relying on any intermediary. This provides a technological foundation for meeting regulatory requirements on data access auditing, such as those in GDPR, HIPAA, etc. #walrus $WAL @Walrus 🦭/acc

Design of Liquid Staking Derivatives in the Walrus Token Economy: stWAL and Risk Isolation Mechanism
To enhance token capital efficiency and lower participation barriers, the Walrus protocol has designed a liquid staking derivatives mechanism, while ensuring the network's security底线 through a risk isolation pool.
Operational Process:
Stakers deposit WAL tokens into an official or audited third-party staking contract and receive 1:1 derivative tokens stWAL. stWAL represents the principal WAL deposited and future yield rights, and can be freely traded, borrowed, or used as collateral in the DeFi market.
Risk Isolation Design:
Dual Pool Structure: Staked assets are divided into the "Active Validation Pool" and the "Standby Security Pool." The value of stWAL is primarily pegged to the highly liquid assets in the "Standby Security Pool."
Priority Liquidation: If a node behaves maliciously and its staked WAL is slashed, the system first deducts from the "Active Validation Pool." Only when this pool is insufficient will it proportionally deduct from the "Standby Security Pool," with the insurance fund prioritizing compensation to stWAL holders.
Separation of Rewards and Risks: Most of the node operator's rewards (storage fees) are distributed to stWAL holders, while slashing risks are primarily borne by the node operators through the "Active Validation Pool."
This design allows ordinary token holders to share in network growth rewards with zero entry barriers and low risk, while leaving the professional risks and rewards of node operation to specialized participants.
#walrus $WAL @Walrus 🦭/acc

Walrus Storage Market Dynamic Pricing Model: Algorithm-Driven Based on On-Chain Supply and Demand and Reputation

Pricing Model: Algorithm-Driven Based on On-Chain Supply and Demand and Reputation
(Word count: approximately 400 words)
Walrus Protocol's decentralized storage market abandons fixed pricing, adopting a dynamic pricing model driven by algorithms, where prices are determined jointly by on-chain supply and demand relationships and node reputation, achieving Pareto optimization of resource allocation.
Core Pricing Variables:
Global Storage Utilization: The ratio of network-wide used capacity to total committed capacity. Higher utilization causes the base price curve to rise.
Regional Bandwidth Cost: Differences in network bandwidth costs across geographic regions are reflected through regional price coefficients.
Node Reputation Score: A dynamic reputation value calculated based on historical storage success rate, response speed, and uptime. High-reputation nodes can charge a premium, while low-reputation nodes must offer discounts to attract customers.
Storage Duration and Redundancy Requirements: Long-term contracts receive discounts, while higher data redundancy requirements (e.g., cross-continental backup) incur additional fees.
Market Clearing Mechanism:
User storage orders and node capacity bids are aggregated in the on-chain order book. Every period (e.g., 24 hours), the system runs a clearing algorithm to match orders based on price priority and reputation priority, settling at the market-clearing price. Unmatched high-priced orders or low-reputation bids remain in the order book for the next round.
This model ensures that storage service prices always reflect real-time market conditions, while incentivizing nodes to provide high-quality and reliable services to earn reputation premiums.#walrus $WAL @Walrus 🦭/acc

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