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Mastercard pilots stablecoin compliance layer with Borderless Mastercard and Borderless.xyz are piloting Mastercard Crypto Credential for cross-border stablecoin payments, testing a single-audit model where a provider verified once can pass trusted compliance signals to every other participant on the network. The setup targets one of the sector's biggest friction...

15,941 просмотров • 1 месяц назад •via X (Twitter)

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A traveler taps her card at a market thousands of miles from home. The payment feels instant, simple, straightforward. It’s not. Behind that tap, money may need to move across currencies, banks, payment providers, and borders. Traditional systems often require companies to park funds in local accounts before they are needed, leaving capital stagnant for long periods of time where it’s not able to earn a return or be put to work. Members of the Avalanche Payments Collective are building a more efficient global payments model, one that keeps capital productive up until the moment it needs to move. Here are five members working across different parts of cross-border payments and treasury infrastructure: Axiym provides payment and treasury infrastructure that helps institutions route liquidity and settle transactions without pre-funding every market. Its technology supported Hyundai Motor America’s stablecoin payment to its Mexico affiliate, completed on Avalanche in minutes instead of days. Nonco helps institutions exchange currencies and stablecoins by requesting prices directly from a network of professional liquidity providers. That gives them access to more competitive rates while allowing both sides of the transaction to settle together onchain. SMBC, Japan’s second-largest bank, is exploring stablecoin infrastructure for wholesale institutional payments. It is also working alongside MUFG and Mizuho on a potential yen-pegged stablecoin initiative built on Avalanche. StraitsX is working with KBank through Project BLOOM to develop payment infrastructure that can improve settlement across Southeast Asian corridors where moving money remains particularly slow and expensive. AeraTech helps multinational companies manage cash across subsidiaries, offset internal obligations, and settle inter-company payments without unnecessarily routing every transaction through external banks. These different companies all represent or engage with different parts of the payment and treasury stack. But they all have a shared goal: keep capital working longer, move it when it is needed, and make cross-border payments faster and more efficient. That is what the Avalanche Payments Collective is bringing together. Frictionless, borderless payments that really are instant, simple, and straightforward.

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🌍 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. 🚀

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Ripple Breaks Ground in the UAE, as RLUSD Becomes the First U.S. 🇺🇸 Stablecoin Approved Under DFSA 🇦🇪Framework Ripple has officially become the first blockchain company to have its stablecoin RLUSD approved by the Dubai Financial Services Authority (DFSA) for use within the prestigious Dubai International Financial Centre (DIFC). This marks a historic inflection point in the evolution of global stablecoin regulation and sets a bold precedent for the industry. For the first time, a U.S. dollar-backed stablecoin is fully licensed under a Gulf state’s comprehensive virtual asset regulatory regime, unlocking real world use cases across the Middle East’s most advanced financial sandbox. RLUSD can now be integrated into Ripple’s DFSA approved payment infrastructure, as well as deployed by banks, fintechs, and asset managers operating in the DIFC. The UAE, particularly Duba, has positioned itself as a forward thinking digital finance hub, balancing innovation with regulatory oversight. With this approval, RLUSD becomes a compliant liquidity vehicle in a region increasingly looking to bypass outdated correspondent banking systems. It can now power real estate tokenization; as seen with the Dubai Land Department, crossborder payments, merchant settlements, and enterprise treasury flows, all while leveraging XRPL Ripple’s regulatory win sends a powerful message to global players “the path forward isn’t through avoidance, it’s through alignment.” As the UAE becomes a proving ground for regulated stablecoin deployment, other jurisdictions may follow suit, especially those seeking to integrate blockchain without surrendering compliance. This raises the bar for all stablecoin issuers. RLUSD isn’t algorithmic, opaque, or dependent on walled off ecosystems, it’s interoperable, regulated in both the U.S. (via NYDFS) and Dubai, and deeply embedded in XRP Ledger infrastructure. It now stands as the gold standard for stablecoins used in institutional grade finance. RLUSD is the on-ramp. XRP is the engine. As RLUSD flows into corridors like UAE - India, UAE - Africa, and UAE - Europe, XRP becomes the bridge asset to handle illiquid pair conversions and global net settlement. Every RLUSD transaction that hits an exotic corridor where the stablecoin lacks liquidity is an invitation for XRP to step in and close the gap via On-Demand Liquidity (ODL) and decentralized market making. As real estate, commodities, and government-backed tokenization schemes roll out across the jurisdiction XRP gains transactional volume, liquidity demand, and regulatory tailwinds. The DeepFreeze amendment and compliance frameworks coming online only reinforce XRPL’s role as the programmable settlement layer for tokenized finance. SMQKE had shown that 5400 currencies have been issued on the XRPL

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FIVE LAYERS OF AGENT ENGINEERING, EACH ONE WRAPS THE ONE BELOW IT. IF YOU SKIP LAYER 2, YOUR LAYER 5 WILL LOOK BROKEN WHEN IT IS ACTUALLY JUST STANDING ON NOTHING. for weeks i debated harness vs loop vs graph like they were competing choices. then a stack diagram made the shape obvious. they are not choices. they are floors. 01 | prompt engineering. the message. unit of work: one input. inputs are role, instructions, examples, format. output is a single raw response. 02 | context engineering. the memory. unit of work: what stays in the window. a curator selects, compresses, and drops from query, docs, memory, prior turns, and tool outputs before the prompt runs. 03 | harness engineering. the machine. unit of work: the machine itself. gather (context + prompt) → LLM → tools or sub-agents → verifier → final response. the article calls this the operating environment. 04 | loop engineering. the system. unit of work: the run. goal + success criteria + max iterations + budget + completion check wrap around one harness pass. failed pass appends results to context and retries. 05 | graph engineering. the topology. unit of work: the graph run. goal + nodes + edges + state schema. graph routes to agent nodes, tool nodes, or human approval. a reviewer node with a different model and fresh context checks the final answer. the wrapping is the whole point. layer 5 assumes layer 4 works. layer 4 assumes layer 3 works. skip layer 2 and layer 3's verifier keeps failing without a clear reason. this is why swapping the model is a one-day project and swapping the stack is a quarter. the model is the commodity. the five layers around it are the engineering. full three-layer breakdown of the top of the stack (harness, loop, graph) in the post below.

kocer

30,675 просмотров • 9 дней назад

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

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