Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

The fragmentation problem at the centre of #tokenisedfinance is why #interoperability infrastructure is the enabling condition for everything else. Central banks, commercial banks, and public blockchains are building toward a shared three-layer architecture for #digitalmoney. Each layer performs a distinct function. All three must work together. And they each... show more

Quant

165,531 subscribers

13,248 görüntüleme • 9 gün önce •via X (Twitter)

#tokenisedfinance #interoperability #digitalmoney

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Today’s decentralized applications are fragmented across a chaotic landscape of disconnected blockchains. It’s time to unite them once and for all. Explore the three layers of Anoma to create one application layer for all Web3. One place for apps that just work everywhere.

Today’s decentralized applications are fragmented across a chaotic landscape of disconnected blockchains. It’s time to unite them once and for all. Explore the three layers of Anoma to create one application layer for all Web3. One place for apps that just work everywhere.

Anoma

48,169 görüntüleme • 11 ay önce

Tokenised deposits are becoming significant infrastructure for #financialinstitutions. A succession of central bank programmes, commercial deployments, and regulatory frameworks across 2025–26 has removed the uncertainty. The question now is positioning. When network effects begin to compound, institutions with interoperable infrastructure will be ahead. Those holding proprietary #tokenisation stacks that cannot communicate with the majority of their counterparties will be left behind. The architecture is taking shape. Read the full guide to understand where #tokeniseddeposits, wholesale #CBDCs, and #interoperability infrastructure fit together, and what that means for your institution:

Tokenised deposits are becoming significant infrastructure for #financialinstitutions. A succession of central bank programmes, commercial deployments, and regulatory frameworks across 2025–26 has removed the uncertainty. The question now is positioning. When network effects begin to compound, institutions with interoperable infrastructure will be ahead. Those holding proprietary #tokenisation stacks that cannot communicate with the majority of their counterparties will be left behind. The architecture is taking shape. Read the full guide to understand where #tokeniseddeposits, wholesale #CBDCs, and #interoperability infrastructure fit together, and what that means for your institution:

Quant

21,998 görüntüleme • 2 ay önce

🌍 Big Names. Bigger Vision. The Kima Story. From central banks to global tech giants, Kima’s journey is powered by some of the most influential names in finance and technology, all united by one mission: making money move freely, securely, and compliantly across ecosystems. Here’s who’s shaping the future with us 👇 🏦 European Central Bank (ECB): Recognized by the ECB as a Pioneer in the Digital Euro Innovation Platform, where Kima showcased programmable public finance and conditional payments for real-world impact. 💰Commercial Bank International (CBI), Dubai: Partnering with Kima to power next-gen cross-border remittances from the UAE to major corridors like India, Pakistan, and Bangladesh, fast, compliant, and cost-efficient. 💶 Bank of Israel: Selected participant in the Digital Shekel Challenge, building innovative use cases for national digital currency integration. ☁️ Alibaba Cloud: Providing enterprise-grade infrastructure to run global Kima nodes, ensuring speed, reliability, and compliance at scale. 💳 Mastercard: Collaborating through sandbox pilots to enable real-time stablecoin top-ups, bridging traditional banking and blockchain rails. 🔗 Kima Network is the universal settlement layer making all this possible: connecting banks, blockchains, and digital assets in one interoperable system. Kima is the settlement backbone connecting banks, blockchains, and digital assets, where TradFi meets DeFi, for real. 🚀

🌍 Big Names. Bigger Vision. The Kima Story. From central banks to global tech giants, Kima’s journey is powered by some of the most influential names in finance and technology, all united by one mission: making money move freely, securely, and compliantly across ecosystems. Here’s who’s shaping the future with us 👇 🏦 European Central Bank (ECB): Recognized by the ECB as a Pioneer in the Digital Euro Innovation Platform, where Kima showcased programmable public finance and conditional payments for real-world impact. 💰Commercial Bank International (CBI), Dubai: Partnering with Kima to power next-gen cross-border remittances from the UAE to major corridors like India, Pakistan, and Bangladesh, fast, compliant, and cost-efficient. 💶 Bank of Israel: Selected participant in the Digital Shekel Challenge, building innovative use cases for national digital currency integration. ☁️ Alibaba Cloud: Providing enterprise-grade infrastructure to run global Kima nodes, ensuring speed, reliability, and compliance at scale. 💳 Mastercard: Collaborating through sandbox pilots to enable real-time stablecoin top-ups, bridging traditional banking and blockchain rails. 🔗 Kima Network is the universal settlement layer making all this possible: connecting banks, blockchains, and digital assets in one interoperable system. Kima is the settlement backbone connecting banks, blockchains, and digital assets, where TradFi meets DeFi, for real. 🚀

Kima Network

13,380 görüntüleme • 8 ay önce

the way the three of them have three different dance styles from each other but still synchronized is AMAZING

the way the three of them have three different dance styles from each other but still synchronized is AMAZING

kira (fan account)

57,628 görüntüleme • 5 ay önce

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 görüntüleme • 3 ay önce

We’re watching the infrastructure. SHIB is building the backbone: 🔸 Shibarium – our L2, powered by BONE, where every transaction feeds the burn 🔸 ShibOS – the identity & agent layer for the decentralized future 🔸 ShibDAO – governing the ecosystem with transparency and voice 🔸 Shib Alpha Layer – trustless rep, logic, and coordination at the base It’s the architecture of a decentralized world. Up or down — we keep building. That’s what makes SHIB different.

We’re watching the infrastructure. SHIB is building the backbone: 🔸 Shibarium – our L2, powered by BONE, where every transaction feeds the burn 🔸 ShibOS – the identity & agent layer for the decentralized future 🔸 ShibDAO – governing the ecosystem with transparency and voice 🔸 Shib Alpha Layer – trustless rep, logic, and coordination at the base It’s the architecture of a decentralized world. Up or down — we keep building. That’s what makes SHIB different.

𝐋𝐔𝐂𝐈𝐄

13,759 görüntüleme • 1 yıl önce

One of the best parts of running Spain Pick and Roll is to emphasize the drive to score possibility for the handler. Three defenders are potentially occupied by defending the action, and two double gaps are created on each side of the stack alignment.

One of the best parts of running Spain Pick and Roll is to emphasize the drive to score possibility for the handler. Three defenders are potentially occupied by defending the action, and two double gaps are created on each side of the stack alignment.

Chris Oliver

57,685 görüntüleme • 3 yıl önce

Introducing the Stablecoin FX Layer. Every bank, fintech and payment provider is launching stablecoins. But every new stablecoin fragments liquidity. Today, Spark introduces the Stablecoin FX Layer, built on Uniswap v4, a shared liquidity infrastructure that allows stablecoins to access shared liquidity instead of building isolated pools. The initial deployment brings approximately $150M of liquidity to Uniswap v4 across the first USDS/PYUSD and USDS/USDT pools. This is just the beginning. Learn more:

Introducing the Stablecoin FX Layer. Every bank, fintech and payment provider is launching stablecoins. But every new stablecoin fragments liquidity. Today, Spark introduces the Stablecoin FX Layer, built on Uniswap v4, a shared liquidity infrastructure that allows stablecoins to access shared liquidity instead of building isolated pools. The initial deployment brings approximately $150M of liquidity to Uniswap v4 across the first USDS/PYUSD and USDS/USDT pools. This is just the beginning. Learn more:

Spark

155,004 görüntüleme • 1 gün önce

The IOTA Mainnet is getting a serious interoperability upgrade. Through LayerZero and Stargate, IOTA is now connected to 150+ blockchains and 550+ assets, joining the global infrastructure that moves value across the internet.

The IOTA Mainnet is getting a serious interoperability upgrade. Through LayerZero and Stargate, IOTA is now connected to 150+ blockchains and 550+ assets, joining the global infrastructure that moves value across the internet.

IOTA

3,004,075 görüntüleme • 6 ay önce

🛡 Veritas is proud to partner with AILayer, a leader building the next-gen AI execution layer for smart contracts. Together, we're enabling self-healing smart contract infrastructure powered by autonomous AI agents built for devs & non-devs alike. The future of Web3 security is autonomous, adaptive, and resilient. Let’s secure the decentralized future together 🤝

🛡 Veritas is proud to partner with AILayer, a leader building the next-gen AI execution layer for smart contracts. Together, we're enabling self-healing smart contract infrastructure powered by autonomous AI agents built for devs & non-devs alike. The future of Web3 security is autonomous, adaptive, and resilient. Let’s secure the decentralized future together 🤝

VERITAS PROTOCOL

17,017 görüntüleme • 11 ay önce

1/ NEW: Obol Token Sale on CoinList 💥 Obol is the foundation of Layer 1 blockchains and decentralized infrastructure networks. The sale starts February 24, 2025 at 17:00 UTC and is at a 30% discount to Obol’s last VC round. Register ➡️

1/ NEW: Obol Token Sale on CoinList 💥 Obol is the foundation of Layer 1 blockchains and decentralized infrastructure networks. The sale starts February 24, 2025 at 17:00 UTC and is at a 30% discount to Obol’s last VC round. Register ➡️

CoinList

40,199 görüntüleme • 1 yıl önce

Not all blockchains are the same. 🤝Operator attested: the signing key is the last line of defense. 🔐Cryptographically enforced: the math is. One has been broken repeatedly. One cannot be. This is why Institutions building resilient infrastructure are choosing ZKsync.

Not all blockchains are the same. 🤝Operator attested: the signing key is the last line of defense. 🔐Cryptographically enforced: the math is. One has been broken repeatedly. One cannot be. This is why Institutions building resilient infrastructure are choosing ZKsync.

ZKsync

16,376 görüntüleme • 1 ay önce

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

March 18, 2025 marked the public launch of OptimAI. In one year, it has evolved from a lightweight node layer into a decentralized intelligence infrastructure powering real-time data, compute, and reinforcement for agentic systems. Not just nodes. Not just data. A continuously learning, network-driven intelligence layer. This is infrastructure for a new class of software: autonomous agents that persist, adapt, and operate across environments. Year one established the network. Year two is where it compounds into coordination and value flow. Personal agents. Reinforcement at network scale. Emerging primitives for AgentFi. New layers coming online. 2026 won’t just be about scale, it’s where the network starts to operate. Keep building!

OptimAI Network

29,188 görüntüleme • 3 ay önce

✨🇨🇳In China, the three-tub washing machine is so practical! Three separate tubs – one for underwear, one for outerwear, one for delicate fabrics. No cross-contamination, each type gets proper cleaning. Super convenient and keeps laundry meticulous, no hassle at all.

✨🇨🇳In China, the three-tub washing machine is so practical! Three separate tubs – one for underwear, one for outerwear, one for delicate fabrics. No cross-contamination, each type gets proper cleaning. Super convenient and keeps laundry meticulous, no hassle at all.

🇨🇳XuZhenqing徐祯卿

225,554 görüntüleme • 6 ay önce

Disco Football is both a football match and a dance performance. It combines the basic rules of football, but has one rather important difference: dancing is required at all times. Each match features one referee and three artistic judges.

Disco Football is both a football match and a dance performance. It combines the basic rules of football, but has one rather important difference: dancing is required at all times. Each match features one referee and three artistic judges.

Football Fights

50,951 görüntüleme • 1 ay önce

$14,000 a month, and the only thing that isn't real is the girls The followers are real, the likes are real, the revenue is real > three TikTok accounts, 45,000, 95,000, and 145,000 followers > over 6 million likes, one video at 2.4 million views > all three on OnlyFans at $19.99 a month > $50 for a personal message, the reply comes from ChatGPT A guy I know built all of it in five months from one free evening the audience never met anyone, because there's no one to meet, and they pay anyway

$14,000 a month, and the only thing that isn't real is the girls The followers are real, the likes are real, the revenue is real > three TikTok accounts, 45,000, 95,000, and 145,000 followers > over 6 million likes, one video at 2.4 million views > all three on OnlyFans at $19.99 a month > $50 for a personal message, the reply comes from ChatGPT A guy I know built all of it in five months from one free evening the audience never met anyone, because there's no one to meet, and they pay anyway

Kiyoro

20,358 görüntüleme • 11 gün önce

Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1 and W2 — the foundational prerequisites — stay frozen. Only W3 — the layer closest to your task-specific output — gets a ΔW.

Full Fine-tuning vs. Freezing Layers. Interact 👉 and == Full Fine-tuning == A real network has many — three layers in this example, billions of parameters in a production model. What does fine-tuning look like when you update all of them? That’s full fine-tuning: continue training every weight in the pretrained network on your new task. Every layer’s W gets its own ΔW. Nothing is frozen — every parameter is in play. Think of an MLP as a chain of prerequisites leading to an advanced course. Layer 1 might be Linear Algebra, layer 2 Probability, layer 3 Advanced Machine Learning — each one building on what came before. Fine-tuning is what happens during graduate study: the foundations are already there from undergrad, so you’re not re-learning. Full fine-tuning is reviewing every prerequisite to see what new topics have appeared and what discoveries the field has made since the last time you sat through them. Effective — but exhausting. This diagram shows the same three-layer MLP twice, side by side. On the left, the pretrained network runs on input X: three weight matrices W₁, W₂, W₃, each followed by a ReLU activation. Full fine-tuning gives the model the most freedom to specialize. Every parameter can move — and every parameter that can move must be stored. But not every prerequisite needs revisiting. The further you go back in the chain, the less the material has changed since pretraining — the linear-algebra basics under your computer-vision course are largely the same as they ever were. The next page does exactly that: freeze the prerequisites that haven’t moved, and only refresh the advanced one closest to your specialization. == Freezing Layers == Full fine-tuning reviewed every prerequisite — Linear Algebra, Probability, Advanced ML — to refresh each subject with the latest topics. Effective, but exhausting. Then you realize something. The prerequisites haven’t actually changed that much. Linear Algebra is still Linear Algebra; the matrix decompositions you learned still hold. Probability is still Probability; the distributions and Bayes’ rule haven’t moved. Almost all the new material — the new ideas, the recent discoveries — lives in the advanced layer at the top. That’s freezing layers: keep the prerequisite layers fixed at their pretrained state, and only update the advanced one. In the diagram below, W1 and W2 — the foundational prerequisites — stay frozen. Only W3 — the layer closest to your task-specific output — gets a ΔW.

Tom Yeh

27,225 görüntüleme • 2 ay önce

1/ A new Reflect is here. Reflect is the agnostic infrastructure layer for stablecoins. Anyone can launch a yieldcoin, back it with the assets they choose, and let independent risk analysis handle routing. New architecture, new suite, new look. Let's get into it.

1/ A new Reflect is here. Reflect is the agnostic infrastructure layer for stablecoins. Anyone can launch a yieldcoin, back it with the assets they choose, and let independent risk analysis handle routing. New architecture, new suite, new look. Let's get into it.

Reflect

55,189 görüntüleme • 1 ay önce

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.

Kekius Maximus

41,916 görüntüleme • 5 ay önce

The #MyTriaCashback contest is still running for everyone who forgot to post their cashback on X. Three winners. $300 each and it takes 30 seconds.

The #MyTriaCashback contest is still running for everyone who forgot to post their cashback on X. Three winners. $300 each and it takes 30 seconds.

Tria

26,821 görüntüleme • 1 ay önce