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Pixie Decor
437 Posts

Pixie Decor

Conozcamos más sobre todo el ecosistema Cripto y empapémonos de actualidad.
1.5K+ Following
459 Followers
249 Liked
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[Replay] 🎙️ SUNDAY OF WINNING 💜🌹🔥
01 h 37 m 25 s · 567 listens
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[Replay] 🎙️ The Fantastic Traders: Differences Between SMA and EMA
03 h 26 m 46 s · 1.7k listens
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[Replay] 🎙️ NIGHT MARKET 🦁💜🌹🔥 FANTASTIC
01 h 55 m 29 s · 325 listens
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[Replay] 🎙️ NIGHT MARKET 🦁💜🌹🔥
02 h 14 m 59 s · 528 listens
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[Replay] 🎙️ Movement in the market? 💹💸
02 h 11 m 11 s · 1.1k listens
Did the LAPTOP burn?
Did the LAPTOP burn?
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[Replay] 🎙️ The Fantastic World of Trading: Bollinger Bands
05 h 59 m 49 s · 7.3k listens
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[Replay] 🎙️ Market Days 💹💜🌹🔥
01 h 45 m 12 s · 375 listens
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[Replay] 🎙️ Market Night 💹
02 h 44 m 48 s · 645 listens
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[Replay] 🎙️ Let's look at and analyze the market 💹
01 h 11 m 54 s · 348 listens
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[Replay] 🎙️ And I started playing this melody 🎹🎶
01 h 20 m 33 s · 332 listens
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[Replay] 🎙️ DOMINGO 💜🌹🔥
01 h 34 m 06 s · 206 listens
Verified
Article
Major headlines for an era of major changesStarting October 3, there are high expectations that Hyperliquid will generate more than an additional $180 million in annual revenue. Focus on NVIDIA: The GPU manufacturer will release its quarterly results tomorrow, August 26. At this time, NVIDIA shares point to a 5.4% change after the results are published. RedotPay expects a fourfold growth in the use of Stablecoin cards. The stablecoin payments company anticipates up to $50 billion globally in spending on stablecoin cards.

Major headlines for an era of major changes

Starting October 3, there are high expectations that Hyperliquid will generate more than an additional $180 million in annual revenue.
Focus on NVIDIA: The GPU manufacturer will release its quarterly results tomorrow, August 26. At this time, NVIDIA shares point to a 5.4% change after the results are published.
RedotPay expects a fourfold growth in the use of Stablecoin cards.
The stablecoin payments company anticipates up to $50 billion globally in spending on stablecoin cards.
$DUSK
$DUSK
MICHAEL MOORE
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Fourteen days ago I started reading about @Dusk mostly out of curiosity. I didn't expect to still be reading two weeks later.

What kept pulling me back wasn't one big headline. It was how many small, specific design choices kept showing up once I actually looked for them. Zedger building dividend distribution and capped transfers directly into a security token, not bolted on after. Citadel letting someone prove they qualify without handing over who they are. A convert function that used to take two transactions to move between public and private, now down to one.

The one that stuck with me most was Dusk's own line pushing back on fractional ownership as the big selling point. Their materials said the real value was connecting the whole lifecycle, issuance to settlement, around one record. That's not a pitch I expected from a project selling tokenized securities.

Then the XSC standard itself, splitting power across three separate roles so no single party can see, approve, and reassign ownership all at once. And just this week, watching a bank, an exchange, and a custodian verify the same transaction while each stayed blind to the others' data.

None of this is loud. There's no single moment I'd call a breakthrough. It's fourteen quieter observations that, put together, describe a project treating privacy and regulation as the same design problem instead of opposites.

I don't have a tidy conclusion. What I have is a longer list of questions than I started with, and that feels like the more honest place to end this.

Fourteen days of reading someone else's documentation isn't usually how I'd describe time well spent, but this one was. Whatever comes next for this project, I'm glad I actually went looking instead of just scrolling past it.

#dusk $DUSK
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[Replay] 🎙️ The Fantastic Traders: Market Analysis
05 h 40 m 39 s · 2.8k listens
#dusk $DUSK @Dusk_Foundation LEARN MORE ABOUT DUSK 3. zkVM smart contract layer and confidential contracts. To execute complex financial logic, DUSK does not use the generic Ethereum virtual machine (EVM), but its own privacy-optimized infrastructure: -zkVN (zero-knowledge Virtual Machine): A virtual machine designed natively to efficiently process and verify zero-knowledge proofs. -Confidential smart contracts: Allow developers to program business rules where certain variables are public (such as the price of an asset) and others remain private (such as the identity of investors or the exact size of an order). 4. Kadcast network and communication layer To overcome bottlenecks in traditional propagation systems (gossip protocols), DUSK implements Kadcast. This is a routing protocol within the Kademlia structure (DHT). Instead of flooding the entire network with every block or vote, messages are transmitted through deterministic multicast routes based on network distances (XOR), which reduces bandwidth by 25% to 50%, improving speed and resilience under large traffic volumes.
#dusk $DUSK @Dusk LEARN MORE ABOUT DUSK

3. zkVM smart contract layer and confidential contracts.
To execute complex financial logic, DUSK does not use the generic Ethereum virtual machine (EVM), but its own privacy-optimized infrastructure:

-zkVN (zero-knowledge Virtual Machine): A virtual machine designed natively to efficiently process and verify zero-knowledge proofs.

-Confidential smart contracts: Allow developers to program business rules where certain variables are public (such as the price of an asset) and others remain private (such as the identity of investors or the exact size of an order).

4. Kadcast network and communication layer
To overcome bottlenecks in traditional propagation systems (gossip protocols), DUSK implements Kadcast. This is a routing protocol within the Kademlia structure (DHT). Instead of flooding the entire network with every block or vote, messages are transmitted through deterministic multicast routes based on network distances (XOR), which reduces bandwidth by 25% to 50%, improving speed and resilience under large traffic volumes.
#dusk $DUSK @Dusk_Foundation USE CASES IN EXPANSION -Traditional finance and RWA: The network’s main focus remains centered on attracting institutional capital through the issuance of digital securities, compliance with strict financial regulations, and the creation of private but auditable financial markets. -Business solutions (Payroll and payments): Practical application cases have been driven forward for SMEs, such as payment and confidential payroll systems using Zero-Knowledge Proofs (ZKP), enabling confidentiality in employees’ salaries without compromising security. Although intelligent contract prototypes for confidential corporate settlements and high-privacy business payrolls are still being studied (where salaries and tax data must not be public), these use cases are part of experimentation with the DUSK virtual machine (Rusk ZK - VM). PRIVACY LAYER AND TRANSACTION MODEL (Phoenix) Privacy in DUSK is not an optional patch; it is built into the core through Zero-Knowledge Proofs. Phoenix model: is a UTXO-based transaction system (similar to the blinded Bitcoin model with ZKPs) that hides the transferred amounts and the sender and recipient addresses. Verification without disclosure: validators can confirm that a transaction is legitimate (that there are sufficient funds and no double-spending) through mathematical proofs without needing to view users’ private or sensitive data.
#dusk $DUSK @Dusk USE CASES IN EXPANSION

-Traditional finance and RWA:
The network’s main focus remains centered on attracting institutional capital through the issuance of digital securities, compliance with strict financial regulations, and the creation of private but auditable financial markets.

-Business solutions (Payroll and payments):
Practical application cases have been driven forward for SMEs, such as payment and confidential payroll systems using Zero-Knowledge Proofs (ZKP), enabling confidentiality in employees’ salaries without compromising security.
Although intelligent contract prototypes for confidential corporate settlements and high-privacy business payrolls are still being studied (where salaries and tax data must not be public), these use cases are part of experimentation with the DUSK virtual machine (Rusk ZK - VM).

PRIVACY LAYER AND TRANSACTION MODEL (Phoenix)
Privacy in DUSK is not an optional patch; it is built into the core through Zero-Knowledge Proofs.

Phoenix model: is a UTXO-based transaction system (similar to the blinded Bitcoin model with ZKPs) that hides the transferred amounts and the sender and recipient addresses.

Verification without disclosure: validators can confirm that a transaction is legitimate (that there are sufficient funds and no double-spending) through mathematical proofs without needing to view users’ private or sensitive data.
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