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From tokenized U.S. stocks to real-world crypto payments, the past week saw industry giants like Kraken, Mastercard, Ripple, and FIFA unveil major blockchain partnerships. These alliances reflect a growing push to merge Web3 innovation with traditional finance—unlocking new markets, boosting utility, and reshaping the future of global digital assets.

Kraken, Backed, and Solana Join Forces to Launch Tokenized U.S. Stocks for Global Investors

Kraken is shaking up traditional investing with a new partnership alongside tokenized equities issuer Backed and the Solana Foundation. Unveiled at the Solana Accelerate conference, the collaboration will bring xStocks—digital representations of U.S.-listed stocks and ETFs—onto the Solana blockchain, aiming to give investors outside the U.S. streamlined, borderless access to equities via Kraken’s app.

Backed’s new xStocks brand is designed to let crypto platforms offer onchain exposure to popular U.S. equities. Kraken, the first to launch the product, chose Solana as the foundation thanks to its “unmatched performance” and global developer base. Solana’s infrastructure, known for its speed and scalability, is seen as essential for building internet-scale financial tools.

Kraken’s Global Head of Consumer described the rollout as a way to “deliver something better” than the current slow, expensive, and geographically limited equity markets. Backed’s cofounder added that xStocks could act as a “neutral, public good,” creating a bridge between traditional finance and the DeFi space. Solana’s partnerships lead said this initiative is a leap toward “internet capital markets” that function 24/7 without gatekeepers.

Following its April launch of 11,000+ U.S. equities for domestic users, Kraken now plans global expansion—and may eventually bring tokenized equities to other chains.

Mastercard and MoonPay Team Up to Launch Stablecoin-Powered Payment Cards

Mastercard is partnering with MoonPay to bring stablecoins closer to everyday spending. Together, they’re introducing Mastercard-branded cards that convert stablecoins to fiat in real time—enabling users to shop at over 150 million merchants worldwide, just like with traditional currency.

This move aims to simplify how digital assets are used in daily transactions. By leveraging Iron’s infrastructure—a company MoonPay acquired in March—the cards will turn crypto wallets into functional, bank-like tools. That means seamless payments and global money transfers become more accessible for businesses, online banks, and platforms supporting freelancers, creators, and contractors.

The collaboration taps into MoonPay’s existing network, which connects with over 500 crypto platforms and serves a user base of 100 million. Mastercard’s global reach and trust, combined with MoonPay’s crypto-native tech, aim to bridge the gap between Web3 and traditional finance.

With around 20 million wallets actively transacting in stablecoins monthly—and 120 million holding stablecoin balances—the demand for practical spending options is rising. Mastercard’s EVP of Global Partnerships described this as a move toward “unlocking stablecoin utility,” while MoonPay’s CEO emphasized the goal of making digital money a routine part of life—offering fast, borderless payments with the trust and scale needed for mass adoption.

Ripple Expands in UAE with Zand Bank and Mamo to Power Faster Cross-Border Payments

Ripple is strengthening its presence in the Middle East through new alliances with UAE’s Zand Bank and fintech player Mamo. The move comes shortly after Ripple secured licensing from the Dubai Financial Services Authority (DFSA), allowing it to deepen regional integration of its blockchain-based payment technology.

By incorporating Ripple’s infrastructure, both Zand and Mamo aim to upgrade their cross-border payment systems—promising greater speed, lower fees, and enhanced transparency. With its network now active in over 90 markets, Ripple is handling more than $70 billion in transactions, positioning itself as a central player in global remittance flows.

Zand is also developing a stablecoin pegged to the UAE dirham, aiming to streamline domestic settlements and support the country’s digital economy ambitions.

Ripple’s regional managing director remarked that the DFSA license enables them to address long-standing challenges in cross-border payments, such as inefficiency and lack of clarity. He noted that interest from both crypto-native and traditional firms reflects Ripple’s growing traction in the region.

Mamo’s CEO emphasized that the UAE’s regulatory environment is a “magnet for innovation,” attracting financial pioneers as the country aims to host over a million businesses by 2030. Both firms see blockchain as key to redefining financial infrastructure in the Gulf.

FIFA Taps Avalanche to Launch Its Own EVM Blockchain for Digital Collectibles

FIFA is building its own Ethereum-compatible blockchain in collaboration with Avalanche, marking a significant shift in its Web3 strategy. The new platform, called the FIFA Blockchain, will become the exclusive home of FIFA Collect—its official digital collectibles initiative. Previously hosted on Algorand and Polygon, the program is now fully migrating, phasing out support for those networks.

The move is designed to enhance performance, scalability, and user accessibility. According to FIFA’s Web3 partner, Francesco Abbate of Modex, the new setup will allow fans to use mainstream crypto wallets and enjoy a smoother experience. He also suggested the Avalanche-powered infrastructure is built with future fan engagement tools in mind, offering longevity and reliability for FIFA’s massive global audience.

Avalanche’s recent network upgrade, Avalanche9000, reportedly played a role in the decision. The upgrade reduces costs and accelerates developer onboarding—key factors for large-scale digital initiatives. The announcement also triggered a 10% price surge in AVAX, Avalanche’s native token.

With over five billion fans worldwide, FIFA is betting big on Web3. The custom EVM blockchain signals its commitment to digital innovation and paves the way for expanded collectibles and fan experiences built directly on its new, high-performance platform.

MEXC and TON Launch $1 Million Crypto Campaign with Zero Fees and 400% APR

Crypto exchange MEXC has partnered with The Open Network (TON) to launch “TON Triumph,” a 30-day global campaign offering $1 million in rewards. Running through June 20, the initiative introduces zero trading fees on all TON pairs and unprecedented staking returns of up to 400% APR—positioning the move as one of the most aggressive user acquisition strategies in the crypto exchange industry.

New users can stake up to 250 TON tokens to access the 400% APR pool, while existing users enjoy passive rewards of up to 8% daily APR and a share of 32,500 TON in spot trading bonuses. A futures trading competition with a 100,000 USDT prize pool further elevates the campaign’s appeal.

The fee-free structure applies to TON/USDT, TON/USDC, and TON/EUR spot trading, plus all TONUSDT futures and TON/USDE withdrawals—effectively removing traditional exchange revenue barriers. MEXC’s infrastructure supports this high-volume, zero-fee trading while managing capped staking pools.

COO Tracy Jin calls the campaign a “strategic inflection point,” redefining exchange-user engagement. The collaboration also boosts TON’s ecosystem, which is tied to Telegram’s vast user base. With quick onboarding and wide accessibility, MEXC aims to drive rapid TON adoption during this limited-time event.

The post FIFA, MEXC, And More: This Week’s Biggest Crypto Partnerships To Watch appeared first on Metaverse Post.

Sui Network implemented an update introducing a whitelist feature as part of its fund freezing measures, following a recent Cetus decentralized exchange (DEX) hack, resulting in the loss of over $220 million in cryptocurrency. 

This feature permits transactions included in the whitelist to bypass all security checks. In addition, Sui has deployed a restore module with system-level privileges and added the corresponding upgraded transaction to the whitelist, potentially preparing for the future return of stolen funds to liquidity providers.

Particularly, if fund recovery or return becomes necessary, officials can pre-construct a designated “rescue transaction” and add it to the whitelist, allowing it to bypass blacklist restrictions and execute in one step. However, the whitelist itself does not grant the ability to directly seize hacker funds–it merely allows transactions to bypass blacklist barriers.

The update cannot sign the hacker’s private key or invoke privileged Move functions but only controls blocking or releasing funds. To actually move the funds, either possession of the hacker’s private key is required or activation of the restore module with system-level privileges along with the upgraded transaction being added to the whitelist.

关于 SUI 这一手冻结的操作，我好奇研究了黑名单具体是怎么实现的，以及昨天更新的白名单补丁又要干嘛？

1. 冻结如何实现？

首先是 SUI 这条链一直就有个功能，叫做 Deny List (拒绝服务的黑名单)，凡是进了黑名单的地址，节点都不执行相关的交易。… https://t.co/DuzoVYzRqT pic.twitter.com/cg7hTQ4fXS

— 0xTodd (@0x_Todd) May 23, 2025

As part of the fund freezing measures, Sui however, initially used a blacklist function, followed later by the addition of a whitelist patch. The Sui blockchain has long maintained a feature known as the Deny List, which acts as a denial-of-service blacklist. Addresses placed on this blacklist have their associated transactions blocked by nodes. This existing functionality enabled the fast freezing of the hacker’s address during the recent incident. 

According to @0xTodd user, without this feature, even with only 113 nodes, coordinating individually would have caused delays. Sui has not suddenly become a centralized network–it has operated this way at least since the blacklist feature was introduced, he highlighted in a post on social media platform X. 

As, the blacklist was officially released first, and while nodes theoretically have the option to follow it or not, it is generally enforced automatically by default. 

The implementation of the freezing strategy involving the whitelist function has sparked criticism among decentralization advocates, who argue that the ability to override transactions contradicts the principles of a decentralized permissionless network.

“Sui Central froze some of the money stolen by the hacker, but it cannot be withdrawn for the time being (because it involves underlying level modifications). So now we are paving the way to get this money back, but at the cost of SUI becoming more centralized,” noted the researcher @tmel0211.

很多人疑惑，Sui官方称 @CetusProtocol 被黑客攻击后，验证者网络协调"冻结"了黑客地址，挽回了1.6亿美元。究竟是如何做到的？去中心化难道是“谎言”吗？以下，从技术视角试着分析下：… https://t.co/7AvvUCujQj

— Haotian | CryptoInsight (@tmel0211) May 23, 2025

Sui Network And Cetus Freeze $160M Stolen In Hack, Offering $6M Bounty To Attacker

Following the security breach at Cetus, the Sui Network stated that its validator network coordinated efforts to freeze the hacker’s address and successfully recovered $160 million. After the attack, some of the stolen USDC and other assets were quickly moved to other blockchains, including Ethereum, via the cross-chain bridge. These assets are now beyond recovery. However, a portion of the stolen funds remains on addresses within the Sui network controlled by the attacker. These remaining funds are the focus of the freezing efforts. The official statement noted that many validators have identified the addresses associated with the stolen funds and are actively ignoring transactions involving those addresses.

Meanwhile, Cetus has announced a white hat bounty of up to $6 million, offering this reward to the exploiter for the return of 20,920 ETH, valued at over $55 million, as well as the remaining stolen funds currently held on the Sui. If the assets are returned, the exploiter may keep 2,324 ETH as a bounty and the matter will be considered resolved with no further legal, intelligence, or public actions pursued. 

The post Sui Network Releases Whitelist Feature To Facilitate Recovery Of Frozen Funds Following $220M Cetus Hack appeared first on Metaverse Post.

Cryptocurrency marketing and public relations firm EAK Digital revealed plans to host the upcoming DefaiCon event in Istanbul, featuring Hey Anon and WAGMI CEO Daniele Sesta as the main speakers, building on the success of the previous event held in Dubai during Token2049.

Taking place on 26th of June 2025 at the Hilton Istanbul Bomonti Hotel & Conference Center as part of Istanbul Blockchain Week, DefaiCon Istanbul will explore the convergence of decentralised finance (DeFi) and autonomous AI agents – core pillars of the emerging agentic economy – where intelligent agent networks and next-gen DeFi protocols are reshaping finance, trading, governance, and on-chain decision-making.

As programmable finance, autonomous capital deployment, and intelligent coordination redefine the Web3 landscape, DefaiCon Istanbul will serve as the ultimate stage for founders, developers, and investors building at the frontier of decentralized finance and AI.

“As we expand beyond our Dubai debut, this DefaiCon edition will explore the rise of agentic economies, autonomous agent swarms, and the growing role of AI agents in shaping on-chain innovation,” said Erhan Korhaliller, Founder of Istanbul Blockchain Week and EAK Digital, in a written statement. “With Turkiye contributing some of the highest trading volumes in the world, Istanbul is the perfect setting to host these critical conversations and inspire the next wave of builders, thinkers, and investors,” he added.

DefaiCon Istanbul offers a front-row view of the future for DeFi developers, Traders, AI researchers, Web3 founders, and investors. The event features panels with DeFAI leaders, keynotes from agent economy pioneers, live demos, builder workshops, and exclusive networking with the minds shaping decentralized intelligence.

DefaiCon Dubai Attracts Over 3,000 Attendees, Showcasing Major Breakthroughs In DeFi And AI Agents

With over 3,000 attendees at its Dubai debut, DefaiCon has quickly become the go-to platform for groundbreaking announcements and product launches in the DeFAI space. Highlights included speakers from leading projects like Virtuals Protocol, ElizaOS, Vader AI, Cookie3 and many more. Major announcements took place such as Moxie’s autonomous trading agent Senpi and Oasis’ trustless AI agent WT3, alongside demos of innovations such as the Brevis ZK Coprocessor and DappRadar’s HiveMind, cementing DefaiCon as a launchpad for DeFi and AI agent breakthroughs.

Its return reflects the surging interest and investment in AI-driven finance and autonomous agents across the blockchain ecosystem.

Attendance at DefaiCon Istanbul is limited to those holding tickets for Istanbul Blockchain Week. Interested participants are encouraged to register promptly to ensure their place at this event focused on shaping the future of Web3. For more information and to RSVP, visit Lu.ma. A video recap of DefaiCon Dubai is also available for viewing.

The post DefaiCon Istanbul To Lead DeFi And AI Agent Discussions At Istanbul Blockchain Week 2025 appeared first on Metaverse Post.

Initia Foundation, which supports the development of the modular blockchain platform Initia, has submitted a governance proposal outlining an Inflation Correction and Unstaking Subsidy Plan. 

The proposal aims to adjust the inflation rate by reducing the current 5% annual release of the total INIT supply to 5% of the original annual staking supply, approximately 1.25% of the total annual supply. 

This adjustment addresses a misconfiguration of the inflation rate since the INIT token’s launch on April 24th, which has resulted in higher-than-anticipated inflation.

The Initia Foundation remains committed to fostering open discussion, acknowledging issues, and developing fair solutions with users in mind.

Despite Prop 39 being in a passing state at writing, the Foundation has put forth a new proposal to correct the Staking Inflation rate.…

— Initia Foundation (@initiaFDN) May 23, 2025

Two-Phase Unstaking Subsidy Plan To Compensate Users Impacted By Proposal 39

The Initia Foundation has also introduced a two-phase unstaking subsidy plan aimed at reimbursing users who experienced staking income losses due to Proposal 39. 

Users who unstaked their tokens between the announcement of Proposal 39 on May 20th and the posting of the new proposal on May 23rd, then canceled their unstaking before the planned inflation reduction, estimated for June 2nd, and remained staked after this cancellation when the inflation adjustment takes place, will be eligible for compensation covering the missed staking rewards during the unstaking period caused by the confusion surrounding Proposal 39. It is important to note that all three conditions must be met for the subsidy to apply.

Furthermore, users with any unstaking positions that have an unbonding period overlapping or occurring between June 2nd and June 23rd, the 21-day period following the inflation adjustment, will receive compensation from the Initia Foundation for missed staking rewards. The subsidy will amount to 25% of the updated nominal staking APR for the duration of this period. The nominal staking APR will be determined based on the daily average APR throughout the relevant portion of the unstaking period within this timeframe.

Eligible users can claim their Unstaking Subsidies through the Initia application until July 7th. These claims will not be subject to any lockup or vesting period and will remain open for 30 days following the activation of the claim process. The on-chain vote for the proposal will start on May 26th at 6:00 AM UTC and conclude on June 2nd at 6:00 AM UTC, at which point the proposal will either be approved and executed or rejected.

The post Initia Foundation Proposes Inflation Correction And Unstaking Subsidy Plan To Address Misconfiguration Since INIT Launch appeared first on Metaverse Post.

Web3 infrastructure provider iExec introduced several initiatives during Tokenomics Week aimed at increasing the functionality of its native token RLC and supporting the expansion of its ecosystem.

“We have a clear focus on increasing RLC’s utility and growing its value while expanding access to our decentralized privacy infrastructure,” said Gilles Fedak, co-founder and Chief Executive Officer of iExec, in a written statement. “Our latest initiatives encourage people to use RLC instead of holding it, driving a circular token economy that creates value through utility,” he added.

Recent updates include revised staking options, an evolving revenue framework, and an improved method for developers to interact with RLC. These developments are intended to broaden the token’s functionality within the broader network and support increased use of decentralized applications focused on privacy. They also align with key targets outlined in iExec’s 2025 roadmap, which is structured to promote faster technological advancement and reinforce the platform’s role in enabling confidential computing.

iExec Launches Voucher System: Highlighting Key Benefits For Developers And Users

The introduction of the iExec Voucher system positions RLC as a more integral part of the development process. By replacing manual token transfers and gas fees with fixed-price vouchers funded in RLC, the system aims to simplify onboarding for developers and improve cost predictability for scaling teams. 

This framework is intended to ensure that each stage of development—from initial building to live deployment—generates consistent token activity. New participants can access a complimentary BUILD voucher to begin development and transition to EARN vouchers upon going live, establishing continuous token engagement. 

Additionally, the voucher system plays a foundational role in iExec’s updated circular revenue-sharing model, which is structured to distribute income generated from voucher sales among developers and users based on their contributions. The model is designed to encourage active participation, reward network engagement, and reinforce the practical application of RLC throughout the ecosystem.

iExec Offers Enhanced Rewards Through Privacy Pass And Builder Incentive Program

iExec has introduced additional reward mechanisms through its Privacy Pass initiative, a staking program that enables participants to earn RLC tokens in exchange for receiving promotional emails. This inbox monetization system leverages confidential computing to protect users’ privacy by concealing their email addresses and allowing selective participation in marketing campaigns. 

In an effort to increase engagement, certain campaigns now offer enhanced rewards that scale with the amount of RLC held by participants, temporarily providing higher incentives to users with larger token holdings. 

Further support is extended through the Builder Incentive Program, which offers recurring income to developers who attract active users to their decentralized applications. Rewards are linked to user interaction and data protection metrics.

These initiatives align with the recent launch of the iExec Ecosystem Fund, a 1 million RLC funding pool designed to support the development of privacy-oriented applications. Collectively, these programs aim to strengthen RLC’s practical application within the ecosystem, while reinforcing iExec’s long-term strategy of fostering sustainable growth and expanding its presence through partnerships, including those with the Confidential Computing Consortium and Nvidia.

The post iExec Advances Growth Via Enhanced RLC Token Utility And Incentives appeared first on Metaverse Post.

Even highly skilled individuals have limitations when working alone, and the same principle applies to AI agents—collaboration among multiple agents typically produces more effective results than isolated operation. By deploying several agents, tasks can be distributed based on specific capabilities. For example, in logistics, one agent might handle inventory tracking while another manages route optimization, enabling faster and more accurate outcomes.

AI agents have the potential to contribute across nearly all areas of business operations. In customer service, they can work together to identify an issue, propose a resolution, and manage follow-up actions such as issuing refunds or updating billing records. Within supply chains, agents representing various suppliers can collaborate in real time to forecast demand, distribute resources, and adjust logistics processes. They can also evaluate risks, detect potentially fraudulent activities, and support the development of strategies to enhance security.

Using multiple agents simultaneously strengthens overall system reliability by allowing one agent to step in when another fails. This approach is particularly valuable in high-stakes sectors such as healthcare. For instance, a network of agents in a hospital system can dynamically modify staffing levels in response to patient intake, helping to maintain adequate coverage despite persistent global shortages of healthcare professionals. These shortages, projected to affect low-income regions most severely, are expected to result in a deficit of 10 million healthcare workers over the next five years, according to the World Health Organization.

Multiagent AI Systems Face Challenges In Coordination And Interoperability

HyperCycle Network Node Factory offers a novel approach to addressing the common inefficiencies found in deploying AI agents. Traditional multiagent systems often suffer from poor coordination, operate in isolated environments, and place demands on computational resources. Many agents function independently without reliable methods for collaboration or data exchange, leading to fragmentation and reduced system performance. These issues are further compounded by limited interoperability, which restricts agents to their own ecosystems.

The management and training of numerous agents also involve considerable computing power, making scalability an essential factor for maintaining system efficiency and cost-effectiveness as agent networks grow. HyperCycle Network Node Factory tackles these challenges by enabling the development of collaborative and scalable multiagent systems. It facilitates direct coordination and data exchange between nodes, helping to dismantle silos and promote agent interoperability across the network.

The system’s decentralized architecture supports integration of agents developed by different sources, allowing consistent communication standards through the HyperCycle infrastructure. This cohesive framework allows agents to operate together efficiently regardless of their origins. Nodes within the network are designed to self-replicate and scale exponentially, which helps to distribute computational tasks evenly and reduce reliance on extensive infrastructure.

The platform also addresses cost barriers by lowering the financial threshold for participation, making advanced AI technology accessible to organizations of varying sizes. This inclusive design promotes wider adoption of multiagent systems beyond those with financial or technical resources.

Furthermore, HyperCycle’s self-governing nodes operate independently of external control, enhancing system resilience. The Network Node Factory enables participation in economic activities for developers, enterprises, and individuals—even those without specialized technical expertise—by providing a decentralized infrastructure for managing AI agents at scale.

The Mechanisms Driving Exponential Growth In Node Factories

Each Network Node Factory has the ability to expand up to ten times, with the number of nodes doubling at each stage. These factories operate across ten distinct levels, allowing for exponential growth that increases overall system capacity. This structure is designed to meet the growing demand for AI-related services while also creating revenue opportunities for developers. All nodes begin with a baseline reputation score of 1.0 and are required to reach a score of 2.0 before they can generate additional nodes.

This scoring is achieved through two main processes: tilling and compute. Tilling refers to nodes signaling their operational status to the network, while compute measures the volume of tokens processed by a node. Upon reaching the required score, a node creates two new nodes, each inheriting the parent’s operational history. These new nodes are then initialized with a default score and are eligible to contribute to AI-related tasks within the network.

Developers can deploy AI agents within a Network Node Factory using the Aimifier software license, which simplifies the process and accelerates the integration of intelligent agents. This setup promotes agent collaboration and helps resolve persistent challenges related to communication and compatibility across systems. Additionally, agents participating in the network can earn royalties based on their deployment and performance.

Both enterprises and developers are able to oversee and operate their Node Factories through HyperCycle’s decentralized application, which facilitates task delegation, transaction processing, and system monitoring. The HyperCycle Explorer tool provides real-time insights into node performance, including uptime and reputation metrics, offering visibility into the operational status of each node within the network.

Developers Leverage The Collective Capabilities Of Distributed Agent Networks

Developers can create a distributed network of specialized AI agents by deploying them across multiple nodes within the Network Node Factory. Each node can support a different type of agent, such as one focused on communication and another dedicated to data analysis. This approach enables the development of tailored multiagent systems that combine various agent capabilities, helping to resolve challenges related to system fragmentation and limited scalability.

The HyperCycle Network Node Factory operates within a decentralized, peer-to-peer network that leverages Toda/IP’s ledgeless architecture and supports a vast number of interconnected nodes. This structure allows developers to extend the functionality of their AI systems by incorporating agents developed by third parties. For instance, integrating an external analytics agent can enhance performance and facilitate collaborative intelligence sharing throughout the network.

A key feature of this architecture is that it gives AI agents autonomy over their interactions, removing the need for centralized control. Agents are designed to operate with a shared purpose and a mutual understanding of their roles. By eliminating single points of control, the framework distributes computing tasks efficiently and enables fast communication between agents. Security protocols at the enterprise level ensure that interactions and data exchanges remain protected, helping to mitigate privacy risks and support safe, large-scale deployments.

This model redefines the deployment of multiagent systems as a collaborative and adaptive process. It provides the infrastructure necessary to support high-speed, secure, and scalable AI operations. As multiagent AI becomes increasingly relevant in practical applications, addressing the issues of coordination, scalability, and performance becomes essential. The HyperCycle Network Node Factory delivers the technological foundation to meet these demands, enabling effective agent collaboration and operational efficiency for developers and enterprises alike.

The post HyperCycle Nodes: A Solution To Challenges Of Multiagent AI Systems appeared first on Metaverse Post.

Platform focused on tokenized real-world assets (RWAs), Centrifuge announced an integration with the Solana blockchain ecosystem. This development introduces institutional-grade RWA products to users within Solana’s decentralized finance (DeFi) environment.

The integration is based on the recent introduction of Centrifuge’s deRWA Token service, which enables the creation of transferable tokens optimized for use within DeFi systems. These tokens facilitate the movement of RWAs at the speed of Solana, offering functionality such as swapping, lending, and collateralization, while maintaining the transparency and consistent yields associated with the assets they represent.

Centrifuge Introduces First Platforms On Solana: Raydium, Kamino, And Lulo

With Solana’s total stablecoin market capitalization exceeding $12.5 billion, the integration of Centrifuge’s RWAs marks a new phase of expansion within the network. The initial product introduced, deJTRSY, is a tokenized representation of short-term US Treasuries, offering access to dollar-denominated yields directly within Solana’s DeFi framework.

The first platforms on Solana to incorporate deJTRSY include Raydium, a decentralized exchange that has facilitated over $200 billion in trading volume in 2025; Kamino, a leading borrowing and lending protocol with more than $4 billion in total supplied assets and $1.5 billion in active loans; and Lulo, an expanding yield aggregator that has surpassed $100 million in total value locked since its inception.

These applications play central roles in the Solana DeFi ecosystem, supporting key functions along the user journey. Through these platforms, users can conduct swaps using deRWA Tokens on Raydium, utilize them as collateral on Kamino, and deploy them into structured yield strategies via Lulo—all within the Solana network, eliminating the need for asset transfers outside the blockchain. This integration enhances RWA functionality across multiple protocols in real time.

Centrifuge V3, Wormhole, And Pyth Network Power New Integration

Centrifuge is a blockchain-based platform that integrates RWAs into DeFi. It enables the tokenization of tangible assets—such as real estate, invoices, and US Treasury securities—allowing them to be used within DeFi protocols. This approach aims to provide asset owners with access to liquidity and offers investors opportunities to earn yields backed by real economic activities.

In order to support transparency and reliability, the integration utilizes Centrifuge V3, with Wormhole facilitating cross-chain capital movement and Pyth Network providing real-time, verifiable pricing data for the underlying assets.

This deployment on Solana introduces a model for incorporating RWAs onchain in a way that emphasizes liquidity, stability, and composability. As the use of stablecoins continues to rise on Solana and interest in real-world yield expands, this integration establishes a foundation for RWAs to play a central role in Solana’s broader strategy to engage with institutional finance.

The post Centrifuge Unlocks Onchain Utility for Real-World Assets With Transferable Tokens On Solana appeared first on Metaverse Post.

With over 1,050 liquidity sources across 15 blockchains, Odos has quietly become one of the most advanced routing engines in DeFi. But for Ahmet Ozcan, Co-Founder and CEO, optimizing token swaps isn’t just about finding the shortest path — it’s about building smarter ones.

“We’ve spent three years integrating liquidity sources and refining the optimization engine,” Ahmet explains. “It’s not just aggregation — it’s solving a very hard mathematical problem in real time.”

What Makes Odos Routing Different?

At the core of Odos is its Smart Order Routing (SOR) algorithm. Unlike simple aggregators that bounce between a few decentralized exchanges, Odos evaluates a vast network of routes and combinations — not only across major DEXs but also AMMs, RFQs, and even liquidity bridges.

The result? Better pricing and lower slippage.

But optimization isn’t just about finding the best price. It’s about balancing route complexity with gas efficiency, especially on gas-sensitive chains.

“Layer 2s have made it easier,” Ahmet says. “As gas costs drop, we’re able to build more complex, efficient routes without burdening the user. That’s where Odos really shines — sophisticated routing that doesn’t cost a fortune to execute.”

Security, Not as a Feature — But a Foundation

In a landscape filled with exploits and backdoor risks, Odos takes a cautious, layered approach to security.

“Security is non-negotiable,” Ahmet says. “We’ve pursued multiple smart contract audits, and we’re preparing a formal bug bounty program. But we’ve also invested heavily in backend and organizational security.”

One standout move? Odos is now SOC 2 Type II compliant, a rare credential in DeFi. This framework ensures high standards in how internal systems handle data, security, and operational risk — especially when human error is the weakest link.

“Most hacks don’t happen at the contract level — they happen through phishing, or social engineering. That’s why we’ve educated the entire team and taken compliance seriously.”

The Next Frontier: Real-World Assets & Permissioned DeFi

With tokenized real-world assets (RWAs) gaining traction — from U.S. Treasuries to tokenized private equity — DeFi protocols are racing to figure out how to support them compliantly.

Ahmet sees this as Odos’ next chapter.

“Institutions have unique needs — like KYC, counterparty agreements, and permissioned pools,” he says. “We’re building tooling for that — from whitelisting frameworks to routing through permissioned liquidity — so we can still offer Odos-grade optimization in a compliant setting.”

In other words, the Odos engine that’s currently routing billions in DeFi could soon be doing the same for RWA markets — without compromising regulatory requirements.

The Bigger Vision

Odos isn’t just building a better swap engine. It’s quietly laying the infrastructure for a modular, compliant, and high-performance DeFi future — one that welcomes retail, institutions, and eventually, real-world finance.

“The space is moving fast,” Ahmet says. “But we’ve built Odos to adapt. Whether it’s new chains, new regulations, or new asset types — we’ll route through it.”

The post Odos Is Building Smarter Paths for DeFi Liquidity — With Real-World Assets in Sight appeared first on Metaverse Post.

When people think of cross-chain swaps, they usually think of moving tokens from one blockchain to another. But at Rango Exchange, that’s only half the story.

For Martin M.A.P, Chief Marketing Officer at Rango, the real value lies in what happens after the swap — especially when users and developers can trigger smart contracts across chains as part of a single, atomic transaction.

“It’s not just about sending assets from Chain A to Chain B,” Martin says. “With Rango, you can also send a message and trigger a smart contract on another chain — in the same workflow.”

That might sound small, but it opens up major use cases: yield farming across chains, lending, or staking — all without the user ever touching multiple dApps or wallets.

The Tech: Routing Across EVM and Non-EVM Chains

One of Rango’s biggest technical differentiators is its ability to route across both EVM and non-EVM chains. That includes the usual suspects — Ethereum, BNB Chain, Polygon — but also chains like Bitcoin, Solana, Sui, Tron, and other networks.

“We don’t just rely on one standard,” Martin explains. “That’s what makes our routing engine stand out — it’s chain-agnostic. We analyze all the paths across dozens of networks and optimize for the best possible route — not just in fees or slippage, but also reliability and execution speed.”

This makes Rango particularly useful for wallets and apps that want to offer seamless cross-chain capabilities without rebuilding everything from scratch.

From B2C to B2B2C: How Rango Scaled to 1.2M Wallets

In 2024, Rango crossed a major milestone: over 1.2 million unique wallets used the platform, with $4 billion in total transaction volume.

That growth didn’t come from flashy ads — it came from infrastructure strategy.

“We realized early that wallets don’t want to send users away,” Martin says. “So we built Rango to be easy to integrate — and now top-tier wallets use us under the hood to power cross-chain swaps within their apps.”

This B2B2C model, combined with an intuitive B2C UI, allowed Rango to capture both ends of the market — the users who want to swap tokens directly, and the wallets that want to retain those users by offering seamless cross-chain features.

Marketing, both on-chain and off-chain, also played a role, from growth campaigns to real-time integrations with trending networks.

“We watch the market closely. If a new chain is gaining traction for trading or utility, we work to integrate it quickly.”

What’s Next? DAO Governance and the Web3 Migration

Looking forward, Rango is preparing to launch its token and transition toward DAO governance — something Martin believes is critical to long-term sustainability.

“The community drives sentiment in this space,” he says. “We want them to help shape our roadmap. That way, it’s not just us making decisions — it’s everyone building this with us.”

As for the big picture?

“In five years, we want Rango to be the hub for all cross-chain swaps and messages,” Martin says. “When Web2 users start onboarding to Web3 in big numbers, they’re going to need infrastructure that just works. We want to be there, powering that transition from behind the scenes.”

From asset routing to contract messaging, Rango is building the invisible pipes of a multi-chain future — one swap at a time.

The post Rango Exchange Wants to Be the Router of Web3 — Not Just for Assets, But for Messages Too appeared first on Metaverse Post.

After organizing over ten major conferences around the world, the team behind the acclaimed Hack Seasons Conference is setting a new tone for industry gatherings—this time with a breakfast that prioritizes depth, quality, and real human connection.

Set against the background of Istanbul Blockchain Week, the Networking Breakfast provides an exclusive chance for tech and Web3 professionals to escape the noise and enter a place designed for true, high-impact interaction.

A Fresh Format for Web3 

The Networking Breakfast is a carefully curated experience designed to foster meaningful dialogue around some of the most relevant topics in the tech space today—DeFi, artificial intelligence, and the future of finance. With over 1,200 registrations in its previous edition in Dubai, it’s clear the format resonates with professionals looking for more intentional engagement.

This time, the event returns with limited slots and approval-based entry, ensuring that every attendee is part of a focused, dynamic community.

High-Caliber Speakers, Face-to-Face

The breakfast will feature a lineup of renowned industry leaders who won’t just be giving keynotes—they’ll be seated at the table, participating in real discussions. Among the confirmed speakers are:

Nenter Chow; Global CEO; BitMart.

Prabal Banerjee; Co-Founder; Avail.

Victor Ji; Co-Founder; Manta Network.

Omur Cataltepe; Global BD Lead; TON Foundation.

Andrey Fedorov; CMO & acting CBDO; STON.f.i

These voices represent some of the most influential forces in the blockchain space, and their presence guarantees both insight and inspiration.

A Chance to Win Free Tickets to Istanbul Blockchain Week

In collaboration with Istanbul Blockchain Week, Hack Seasons is giving away five free tickets to the main conference.

To enter the giveaway:

Register for the Networking Breakfast at lu.ma/mixer_ist.

Opt in for the giveaway during the registration process.

Winners will be announced on May 23.

It’s a generous opportunity made possible by the event’s partner, EAK, giving attendees even more reason to get involved.

Why The Networking Breakfast Matters

Finding thoughtful, curated spaces for discussion becomes increasingly important as the Web3 and tech ecosystems develop at breakneck speed. The Networking Breakfast is Hack Season’s response to this need: a time and place when the industry’s future is debated over the table, rather than on stage.

If you’re a startup, investor, builder, or just someone interested in shaping what comes next, here is your opportunity to interact with the individuals who are driving the industry forward, without the distractions of a regular conference floor. So, don’t hesitate to register!

The post Win a Free Ticket to Istanbul Blockchain Week. Meet the Industry’s Best Over Breakfast appeared first on Metaverse Post.

Decentralized finance (DeFi) analytics platform INFINIT introduced the INFINIT Intelligence, an AI-driven engine designed to personalize user interaction within the INFINIT application. 

This system evaluates wallet activity, identifies user objectives and risk tolerance, and processes a wide range of on-chain and off-chain data to generate strategy suggestions aligned with individual profiles. 

Regardless of asset type—whether BTC, ETH, SOL, or stablecoins—INFINIT Intelligence applies adaptive AI models to identify relevant opportunities. The platform now features an updated interface and interactive framework aimed at streamlining the DeFi experience through more intuitive, expert-style engagement.

Introducing INFINIT Intelligence:
The AI-powered engine redefining how you navigate DeFi.

It learns from your wallet. Knows your intent. Executes across chains.

From decisions to actions — all in one interface.

Welcome to the era of personalized DeFi. pic.twitter.com/qFry0fxmol

— INFINIT (@Infinit_Labs) May 22, 2025

The latest update to INFINIT introduces a range of features. Upon connecting a wallet, the platform analyzes on-chain assets and generates tailored DeFi strategies aligned with the user’s current holdings, removing the need to start from scratch. 

INFINIT’s adaptive intelligence references past conversations to provide progressively refined suggestions, enhancing continuity and relevance in strategy recommendations. The platform now integrates over 21 DeFi agents operating across 10 blockchains, all unified under the new INFINIT Intelligence system. This includes the Insight Agent, which synthesizes data from protocol documentation, yield metrics, and social signals to deliver more context-aware responses.

Users can also carry out complex multi-chain operations through step-by-step visual execution flows powered by these agents. Additionally, the newly introduced Badge system rewards user engagement, turning actions like chats, deposits, and protocol usage into collectible progress points called INFINIT Stones, incentivizing exploration within the application.

INFINIT: What Is It? 

INFINIT is an AI-driven DeFi intelligence platform designed to streamline DeFi by assisting users in identifying, assessing, and executing DeFi opportunities through AI-powered agents.

Since its introduction, INFINIT has facilitated easier interaction with DeFi protocols via natural language, attracting more than 48,000 users and maintaining over 17,000 active users weekly. The platform enables users to gain insights into protocol mechanics, explore on-chain options, and carry out DeFi strategies with greater convenience.

The post INFINIT Rolls Out AI-Powered Engine To Redefine DeFi Navigation appeared first on Metaverse Post.

Sui-based decentralized exchange (DEX) Cetus Protocol has temporarily suspended its smart contract functionality as a precautionary measure. The team is currently conducting an internal investigation and has stated that a more detailed update will follow.

Alert Announcement

There was an incident detected on our protocol and our smart contract has been paused temporarily for safety. The team is investigating the incident at the moment. A further investigation statement will be made soon. We are grateful for your patience.

— Cetus (@CetusProtocol) May 22, 2025

According to blockchain analytics provider Lookonchain, the attacker managed to take control of all liquidity pools denominated in SUI, exploiting assets exceeding $260 million. It has been reported that the attacker has begun moving the compromised funds. 

Blockchain security firm SlowMist noted that a portion of the stolen assets has already been exchanged for USDC and bridged to the Ethereum network. The attacker has reportedly used 58.3 million USDC to acquire approximately 21,938 ETH, at an average price of $2,658.

Update:
The Cetus hacker has spent 58.3M $USDC to buy 21,938 $ETH at an average price of $2,658.https://t.co/0BpKSaygmr pic.twitter.com/Tn9n9bhmu6

— Lookonchain (@lookonchain) May 22, 2025

Following a suspected exploit of Cetus Protocol, several tokens native to the Sui ecosystem experienced price declines on DEXs. According to data from DEX Screener, tokens such as LOFI and HIPPO saw losses exceeding 50% within an hour, with some assets falling by more than 90%.

While prices of Sui-related tokens on centralized exchanges (CEXs) have remained comparatively stable, market data from CoinGecko suggests that the impact of the liquidity loss is beginning to extend to broader price movements. The CETUS token itself has dropped approximately 50% on decentralized platforms and around 30% across the market during the same period.

Furthermore, in response to the incident, decentralized finance (DeFi) protocols operating on the Sui blockchain Scallop and Suilend have paused borrowing functions.  

Cetus Protocol Surpasses $57B In Trading Volume In May

Cetus Protocol functions on both the Sui and Aptos blockchains, with a focus on improving transaction efficiency and liquidity access within the decentralized finance ecosystem. By implementing a Concentrated Liquidity Market Maker (CLMM) framework—comparable to the model used by Uniswap V3—the platform permits liquidity providers to supply capital within defined price intervals. This method is intended to enhance capital utilization and support more targeted trading approaches. 

As of May 2025, Cetus has recorded a cumulative trading volume exceeding $57 billion and has facilitated over 144 million transactions, establishing a strong presence in the Sui-based DeFi landscape

The post Cetus Protocol Halts Smart Contract Functionality Amid $260M Exploit appeared first on Metaverse Post.

Ethereum Layer 2 protocol ZKsync saw community proposal GAP-3 pass with majority support, authorizing the platform’s Security Council to convert recovered ETH into ZK tokens. The ETH in question stems from an April 2025 exploit involving unclaimed airdrop tokens and is currently under the Security Council’s custody following a resolution agreement with the attacker. The proposal permits the restoration of the original ZK token supply via this conversion process.

In order to reduce the risk of arbitrage or manipulation, neither the timing nor the method of conversion will be disclosed beforehand. The Token Assembly has endorsed the plan, delegating authority to the Security Council to carry out the token conversion under governance supervision and with a commitment to post-execution transparency. Upon completion, a public report will detail the execution strategy, results, and asset custody, while confirming that neither the council as an entity nor its members personally profited from the transactions.

ZKsync Recovers 90% Of Exploited Tokens Following April Security Breach

ZKsync, developed by Matter Labs, is a protocol for Ethereum that leverages zero-knowledge rollups to increase transaction efficiency and lower costs while preserving the underlying security of the Ethereum network.

On April 13, 2025, a compromised administrative key was used to mint approximately 111.8 million ZK tokens from expired airdrop distribution contracts. In response, the Security Council conducted an investigation and reached an agreement that led to the return of 90% of the exploited assets. These recovered funds are now held in multisignature wallets controlled by the Security Council across both the ZKsync Era and Ethereum networks.

The associated governance proposal aims to responsibly convert the recovered ETH back into ZK tokens, consistent with the initial distribution plan. By granting the Security Council the authority to manage this process, the approach seeks to mitigate protocol risk while maintaining alignment with the platform’s governance framework.

The post ZKsync Governance Approves ETH-To-ZK Token Conversion Plan Following April Exploit appeared first on Metaverse Post.

Generative AI tools such as ChatGPT and GitHub Copilot have revolutionized how software is developed, streamlining workflows, speeding up coding, and reducing manual labor. These powerful tools assist developers by generating boilerplate code, debugging, and offering recommendations. However, they do have limitations.

Despite its promise, GenAI depends heavily on human input. It cannot plan tasks autonomously, adapt to changing circumstances, or retain context over the long term. Lacking autonomy, GenAI is significantly limited in handling complex, dynamic tasks or ongoing projects that require strategic planning and execution. This is where AI agents come in—providing solutions to these very limitations by offering greater autonomy, contextual awareness, and adaptability. A Deloitte report found that at least 26% of organizations are already exploring AI agent capabilities to enhance their processes. Agentic AI is reportedly driving increased productivity, resulting in hundreds of millions of dollars annually in productivity savings across industries.

Limitations of GenAI in Software Development

Generative AI excels at responding to user instructions but cannot initiate tasks on its own or make independent decisions. For GenAI to be effective, developers must provide highly structured input to get meaningful output. While this works well for simple, repetitive tasks, it becomes less effective for more complex, goal-oriented activities that require continuous iteration and adaptation. This limitation is evident in tools like GitHub Copilot, where code generation often still requires detailed prompts.

Another key limitation of GenAI is its inability to dynamically adjust to unforeseen situations. It cannot adapt its behavior based on previous experiences or changes in the environment. For instance, if a piece of code breaks due to external changes, a generative model would need explicit instructions to fix it or make adjustments—rather than identifying the problem and adapting on its own.

Generative AI models like Copilot are effective within a single session but cannot retain context across multiple sessions. This makes them less useful for long-term projects that require sustained, coherent understanding of the evolving state of the work. The lack of memory in these models limits their usefulness for ongoing software development efforts that span days, weeks, or months.

How AI Agents Extend the Capabilities of GenAI

Unlike generative AI, AI agents can autonomously plan tasks, manage context, and adapt to ongoing situations. They build on the power of generative models by integrating real-time decision-making capabilities, memory, and goal-directed actions. These agents can independently execute tasks, adjust plans, and resolve issues with minimal human intervention. For instance, AI agents can manage multiple steps in a task, adapt to new inputs, and maintain context over time—as demonstrated by frameworks like Auto-GPT.

AI agents go further by maintaining continuous memory of their actions and adjusting based on feedback. This allows them to manage complex workflows and ensure long-term coherence in projects. For example, an AI agent working in a development pipeline could analyze previous commits, learn from changes, and make decisions based on both historical and real-time context. This ability to combine memory and tool orchestration systems allows agents to reason through problems using past data and external tools.

Once configured, AI agents can function with minimal ongoing human input, though regular oversight and adjustments are still beneficial. For instance, an AI agent may require initial instructions on how to prioritize technical debt before autonomously identifying and fixing code issues.

Practical Use Cases – AI Agents in Action

Use Case 1: Technical Debt Remediation
Agentic platforms such as AutonomyAI can autonomously identify and resolve technical debt. Its Agentic Context Engine (ACE) analyzes organizational codebases, enabling a suite of AI agents to make decisions based on specific operational standards and the unique requirements of each system.

Meanwhile, a platform like SonarQube provides valuable static analysis but still requires human developers to act on its findings. AI agents like AutonomyAI can use SonarQube reports as input and autonomously perform code fixes, significantly reducing the need for manual intervention. This ability to automatically adapt to the codebase offers clear advantages in streamlining technical debt resolution.

Use Case 2: Continuous QA Automation
AI agents can automatically identify issues, run tests, and propose fixes based on results, ensuring continuous quality assurance (QA) automation. Tools like CircleCI handle continuous integration and deployment (CI/CD) workflows, while AI agents analyze logs, diagnose failures, and suggest or implement fixes. For this use case, LangChain can process log files and apply reasoning to resolve issues autonomously.

Use Case 3: Code Documentation and Refactoring
AI agents like CrewAI can automatically generate documentation based on code analysis and refactor legacy systems with minimal input. By integrating with code search and intelligence tools, AI agents can clean up old codebases and ensure that new code is properly documented.

Ethical and Practical Considerations

While AI agents offer immense potential, they raise important ethical concerns, particularly around accountability and transparency. As these agents make decisions, the logic behind their actions must be auditable and understandable. Accountability is another key issue—in cases of errors or misaligned outcomes, clear mechanisms must exist to determine responsibility. Additionally, bias in decisions made by AI agents could pose significant risks, especially when models learn from existing data that may contain biases. In such cases, human-in-the-loop models can help ensure transparency and accountability.

The Future of AI Agents in Software Development

Looking ahead, we’re likely to see the convergence of generative output and autonomous workflows. Hybrid models that combine the creativity of generative AI with the strategic execution capabilities of AI agents will have a major impact on software development. This will allow teams to build more sophisticated and scalable solutions. AI agents will become modular, with plug-and-play components integrated into development pipelines—making them a core part of software engineering workflows.

AI agents hold the key to overcoming many of generative AI’s current limitations. They enable autonomy, persistence, and adaptability—making them a crucial extension to generative models. By reducing manual workloads, increasing efficiency, and streamlining development, they are set to transform how software is built. The challenge lies in leveraging AI agents responsibly, adhering to ethical standards, and ensuring accountability as the technology evolves. The future of software development will be shaped by collaboration between human engineers, generative assistants, and autonomous agents.

The post Can AI Agents Overcome Generative AI’s Biggest Limitations? appeared first on Metaverse Post.

Cryptocurrency exchange, Gate has held an interview with the Web3 gaming platform Puffverse to discuss the project’s strategic direction, product development, tokenomics, and long-term plans.

As the GameFi sector transitions from standalone projects to interconnected ecosystems, Puffverse distinguishes itself through a combination of product integration, artificial intelligence features, and intellectual property expansion. Developed by former Xiaomi team members and supported by investors such as Animoca Brands and Ronin Network, Puffverse aims to establish a broad “phygital” IP ecosystem that incorporates gaming, social engagement, AI, and hardware.

Puffverse (PFVS) also launched as the first project on Gate Launchpad, drawing significant industry interest. The campaign concluded with more than 35,000 participants and a total subscription volume of 656,514,966 USDT, reflecting an oversubscription rate of 938x.

Team Background And Strategic Vision

According to Puffverse, the team’s background at Xiaomi has influenced its development strategy by providing a platform-based operational perspective and global-scale data insights, which are typically absent in single-product game studios. This experience has enabled the project to focus on building a more sustainable and scalable Web3 gaming environment. The team’s foundation in Web2 game development is seen as a significant advantage, allowing them to implement innovative economic structures tailored to platform dynamics rather than simple feature updates. Puffverse emphasizes user-centric design, prioritizing engagement and retention through meaningful content and incentive systems.

The project also plans to expand into a multi-genre gaming ecosystem that incorporates AI-generated content and intelligent agents linked to Puffverse’s IP. These agents are designed to evolve based on user interactions, gradually developing individual behaviors and patterns unique to each player. Beyond gameplay, Puffverse envisions integrating real-world data through wearable devices, enabling in-game characters to reflect players’ physical activities. This approach aims to unify virtual and real-world experiences by combining elements of SportFi, GameFi, SocialFi, and AI into a cohesive user journey.

Puffverse describes its dual strategic investment from Animoca Brands and Ronin Network/Sky Mavis as a long-term partnership built on aligned goals and a shared outlook for platform-centric development in the Web3 space. Animoca Brands contributes not only capital but also acts as a market-making partner, using its experience in token market dynamics to help maintain price stability. Additionally, the Mocaverse ecosystem has supported Puffverse through co-marketing efforts and community engagement tools such as airdrops, which have contributed to user acquisition. On the other hand, Ronin Network, beyond serving as the project’s blockchain infrastructure, has also provided community and market exposure. Known for its active gaming audience, Ronin offers collaboration potential within its broader ecosystem. Puffverse positions its token strategy around long-term value creation, emphasizing distribution to engaged users as a way to reinforce the overall token economy.

Product Innovation And Ecosystem Design

Puffverse integrates multiple titles—PuffGo, PuffSim, and PuffWorld—under a shared IP framework, aiming to deliver varied user experiences across gaming, utility, and social interaction. This interconnected approach supports a scalable ecosystem where user engagement in one product can extend into others, with AI Agent systems planned to connect data and behavior across titles. 

PuffGo, the casual competitive entry point, is designed to be accessible to non-crypto-native users. The project emphasizes gameplay-first design, where players earn account value through in-game achievements under a “Skill to Earn” model.

Blockchain interaction is introduced gradually, with optional trading and traditional payment options, to reduce friction. 

In terms of content creation, Puffverse is working with Unity to evolve its user-generated content into an AI-generated model. Once implemented, this will form the basis of an “AIGC-to-Earn” system that rewards users for collaborative map creation and participation. Additional features such as map evaluation, reward sharing, and future integrations like multiplayer spectating and livestreaming are aimed at broadening appeal across both Web2 and Web3 audiences.

Tokenomics And User Acquisition Strategy

PuffGo’s “Skill to Earn” model emphasizes competitive merit rather than time-based rewards, aiming to prevent economic inflation by tying player earnings to in-game performance. Upcoming features such as tournaments and new gameplay modes are designed to reinforce competitiveness and increase long-term engagement. The ecosystem also incorporates a staking system through vePUFF, where seasonal rewards are distributed via time-locked tokens. Early withdrawals incur penalties, which are redistributed to long-term participants, thereby promoting economic stability and aligning incentives with sustainable growth.

Limited-edition NFTs are interoperable across PuffGo and PuffSim, with future plans to expand their utility throughout the Ronin ecosystem. PuffWorld is already testing AI-driven cloud rendering to facilitate cross-IP interaction, supporting a vision where digital assets move fluidly between platforms. Collaborations with external IPs are being developed to enhance NFT utility and promote a multiverse experience.

Regarding token sustainability, PFVS plays a central role in seasonal content and staking. Its long-term value is supported through phased utility rollouts, including integration into map creation tools and competitive events. Strategic measures such as long-term token lockups, fiat-based buybacks, and hardware partnerships are under consideration to reduce sell pressure and extend utility into physical applications.

Community Development And Ecosystem Growth

Given the diverse behavioral patterns across global markets, the project has adopted a region-specific approach, with a particular focus on Southeast Asia, Europe, and Latin America. PuffGo’s casual gameplay format lends itself to achieving high daily active users with moderate average revenue per user, making it a strategic starting point for introducing users to the broader Puffverse ecosystem. Local engagement efforts such as partnerships with guilds, influencer outreach, and offline events are being pursued to enhance community involvement and increase regional traction.

In terms of bridging digital and physical experiences, the team is working toward a “phygital” IP model that incorporates hardware integration and potential collaborations with Web2 brands. Inspired by trends in merchandising-based economies, Puffverse intends to expand the presence of its IP beyond the screen. In select pilot markets, the project will test wearable device compatibility, enabling users to interact with their avatars through real-world behavior data. This approach is aimed at increasing brand engagement by embedding the Puff IP into users’ everyday lives.

The upcoming launch of a cloud-based gaming platform, being developed in partnership with international collaborators, is aimed at addressing fragmentation within the Web3 gaming sector. Currently in testing, the platform is expected to go live in beta by late 2024 or early 2025 and will offer access to more than 200 mini-games. Efforts are also underway to establish a viable monetization framework to support long-term sustainability.

Regarding AIGC-powered 2D-to-3D NFT transformation, the underlying engine has already undergone successful technical validation and demonstrated high conversion accuracy, suggesting strong potential for scaling as a next-generation content generation tool.

From a broader strategic perspective, Puffverse views its emphasis on cross-device compatibility, accessible gameplay, and platform-level operational expertise as core differentiators. These elements, supported by international user data and a modular integration system, are intended to support fast ecosystem growth and offer a defensible competitive position in the evolving Web3 gaming landscape.

The post Shaping Web3: Exploring Puffverse’s Roadmap For Integrating AI And User-Generated Innovation appeared first on Metaverse Post.

Google I/O 2025, which took place on May 20, focused entirely on artificial intelligence. Instead of new gadgets or hardware, Google used the two-hour keynote to show how its AI systems — especially Gemini — are being added to nearly every product. These tools are not hidden in the background anymore. They are becoming visible, active parts of how people search, browse, create, and communicate online.

Here’s a list of the 15 most important updates, showing how Google is turning AI into a daily tool across its apps, devices, and services.

AI Becomes the Core: Search, Chrome, and Smarter Assistants

Google started the keynote by showing how AI now runs at the center of its most-used tools. These updates focus on search, browsing, and smarter assistants that act on their own.

AI Mode in Search Goes Live in the U.S.

A new tab called AI Mode has been added to Google Search. It lets people search using a chat window powered by Gemini instead of typing short words into a bar. This new mode helps users ask longer questions and get answers in full sentences.

Google said that people now write search questions that are 2–3 times longer than before. For now, AI Mode is only available in the United States, but a wider release is planned.

Gemini in Chrome for Paid Users

Starting May 21, people who pay for AI Pro or AI Ultra subscriptions will see Gemini built into Chrome. The assistant can read and explain web pages, compare products, or help with browsing steps — directly inside tabs. Right now, it works with two tabs at a time, but Google plans to increase this number.

Project Astra Gets Visual Intelligence

Project Astra, an experimental assistant from Google, now understands what it sees through the phone camera. It can react to visuals without being asked. For example, it might notice an error in a math assignment or help identify things around the user. It watches, thinks, and then speaks — only when it has something useful to say.

Search Live and Gemini Live Add Visual Input

The new Search Live feature lets users show something to the camera and keep talking to the assistant. It stays in the conversation, understands what it sees, and gives helpful answers. At the same time, Gemini Live now allows everyone to share their screen — on both Android and iOS — without needing a subscription.

AI Ultra Subscription Introduced at $250/Month

Google announced a top-tier plan called AI Ultra. It costs $250/month and gives users access to advanced AI features before others. This includes early use of Gemini in Chrome, Project Mariner (a future agent for automating browser tasks), and larger limits for complex AI jobs.

Create with AI: Videos, Images, and Interface Designs

Next, Google introduced creative tools powered by Gemini, Imagen 4, and Veo 3. These let users generate content and design apps using just words or sketches.

Flow: New App for Short AI Videos

Flow is a tool that lets users make 8-second video clips using short text descriptions or pictures. It combines the powers of Veo 3, Imagen 4, and Gemini. Inside the app, people can change the clip’s style, add effects, or link clips into longer videos — all using simple voice or text commands. Google hopes Flow will someday be used for longer films.

Imagen 4 and Veo 3 Released

Imagen 4 creates better images from words. It can handle different image types and adds clearer text-to-image generation.
Veo 3 makes videos with sound and lets users control the virtual camera or remove objects. Even Veo 2 was updated with more editing tools.

Stitch: AI That Designs User Interfaces from Sketches

Stitch is a design tool that builds app interfaces from simple drawings or written descriptions. People can upload rough sketches or explain what they need, and the system builds the layout. Stitch supports screenshots and UI previews. It’s still in testing, but it may soon rival tools from Figma or Adobe.

AI in Meetings, Email, and Conversations

AI is also making communication smoother across languages, screens, and apps. From Gmail to Meet, Google is adding real-time help and personalized responses.

Real-Time Voice Translation in Google Meet 

Google Meet now supports real-time translation, starting with English-to-Spanish voice conversations. It’s available in beta for AI Pro and Ultra users. The speech is translated with very little delay, making meetings smoother across languages. More languages will be added later.

Gmail’s Smart Replies Become More Personal

Smart Replies in Gmail now use the content of your inbox and files from Google Drive. This helps create more personalized and context-aware answers. The tool understands if a reply should be formal or casual and can pull in files like Sheets or Maps links when needed. The rollout starts in July 2025.

XR and Wearables: Glasses and Extended Reality

One of the few hardware-related updates was about smart glasses and the Android XR platform. Google showed how Gemini will work in real-world environments.

Project Aura: Smart Glasses Powered by Android XR

Project Aura is a pair of smart glasses, developed with Xreal, that uses the Android XR platform. The glasses look like sunglasses and include cameras and microphones. They support real-time translation, navigation, and other tasks powered by Gemini.

Aura is still a prototype, but it shows how Google plans to bring mixed reality into daily life. Other companies like Samsung, Warby Parker, and Gentle Monster are also working on their own versions with Google.

Android XR Platform Expands

The Android XR system — introduced earlier with Project Moohan — now supports more smart wearables and uses Gemini for interaction. It will compete directly with Apple’s Vision Pro by supporting richer AR content and better voice input.

AI + Commerce: Shopping and Online Safety

Google is also testing how AI can help with shopping and account safety. From trying on clothes virtually to fixing passwords, these tools aim to simplify digital tasks.

AI-Powered Virtual Shopping and Try-On

Google is testing virtual fitting rooms that use photos of the user’s body to show how clothes might look. It’s still in the test phase. The same tools are also added to AI Mode, where the assistant can help you find products, track prices, and even buy items automatically when prices drop.

Chrome Will Auto-Replace Weak Passwords

In a future update, Chrome will be able to automatically replace unsafe passwords with stronger ones. If a user agrees, Chrome will log into the site and change the password on its own. This goes beyond the current alert system in Google Password Manager, which only suggests changes.

Platform Improvements and Quiet Additions

Finally, Google shared smaller but important updates to Android, Wear OS, and developer tools. Many of these run on Gemini 2.5 Flash and improve how apps work behind the scenes:

Android 16 Beta 4.1 is available now. Full release is expected in June;

Wear OS 6 adds more visual style with Material 3 Expressive and offers easier ways to customize the look;

NotebookLM is now available as a mobile app and runs on Gemini 2.5 Flash, offering better document reading and response;

Project Mariner, a new AI system that runs browser tasks, will soon be part of the Gemini API.

Why Gemini Is No Longer Just a Name

Google I/O 2025 marked a significant shift in the company’s approach to artificial intelligence, emphasizing practical applications that seamlessly integrate into users’ daily lives. CEO Sundar Pichai described the introduction of AI Mode in Search as a “total reimagining of search,” highlighting its potential to handle more complex queries and provide conversational, AI-driven responses.

Demis Hassabis, CEO of Google DeepMind, elaborated on the advancements with Gemini 2.0, stating that the goal is to develop AI that is “personal, proactive, and powerful,” capable of understanding context and taking actions on behalf of users across various devices.

These developments underscore Google’s commitment to transitioning from traditional search and productivity tools to a more integrated, AI-first ecosystem, aiming to redefine user interactions across its platforms.

The post Gemini Everywhere: 15 Key AI Announcements From Google I/O 2025 appeared first on Metaverse Post.

This April 2025, Solana announced a major upgrade to its core. The network introduced a new consensus protocol called Alpenglow. This is the biggest change to Solana’s design since its creation.

Alpenglow replaces the older components TowerBFT and Proof-of-History (PoH). It adds two new systems: Votor for block voting and finalization, and Rotor for fast communication across the network.

Thanks to these changes, Solana expects to finalize blocks in about 150 milliseconds on average. In some cases, blocks may finalize in just 100 milliseconds. This is faster than any Layer 1 blockchain has done before.

These numbers don’t just mean that Solana is quick. They mean Solana may soon be fast enough to match how real-time Web2 apps like Google or PayPal respond.

A Simpler, Faster Structure With Votor and Rotor

Before Alpenglow, Solana used TowerBFT to finalize blocks. This system worked, but it required many steps and confirmations. That added delay to every transaction. It also used PoH to organize blocks by time, which made the process more complex.

Now, with Alpenglow, Solana has a cleaner and faster setup.

Votor is the new voting engine. It handles block approval and confirmation.

Rotor sends data across the network quickly and directly.

Together, these tools speed up the entire system.

How Finality Speeds Up

Under TowerBFT, a block needed about 12.8 seconds to become final. That’s nearly 13 seconds for every confirmation. To improve this, Solana once used a method called optimistic confirmation. It helped in some cases but wasn’t reliable.

With Alpenglow, the finality is no longer just “optimistic.” It is real and fast.

Votor uses two paths at once:

If 80% of validators vote fast, the block finalizes in one round.

If only 60% vote quickly, it finishes in two rounds.

The network doesn’t wait to choose. It runs both rounds together. Whichever one finishes first confirms the block. This is how Solana now gets to 150 ms or less finality.

Rotor: How Data Moves Around the World

One big reason for this upgrade is how data moves.

In the past, Solana used Turbine, which broke blocks into small parts and sent them out across the network. That system helped speed up things and used everyone’s bandwidth to spread data. Rotor takes the same idea but improves it.

Rotor adds:

A single relay layer instead of many layers;

Fewer steps (or “hops”) between validators;

A better way to choose who relays the data;

Smarter use of network speed and bandwidth.

It also uses the power of each validator based on their stake — meaning bigger participants help more. This avoids overloading any one part of the system and prevents slowdowns.

Rotor works so well that its limits are now based on real-world physics. In some cases, the delay is due to the speed of light, not the software.

Latency Test: Why Zurich Was Chosen

To show how fast Alpenglow can work, the team ran tests with a leader validator in Zurich, Switzerland. Validators from around the world took part. The graph below shows how long it took each validator to reach four steps:

Green bars = network delay

Yellow = time for Rotor to spread the block

Red = when a validator saw notarization from 60% of stake

Blue = full finalization

Some results from this test:

65% of Solana’s stake is within 50 ms of Zurich;

Finalization happened in under 200 ms for most of them;

Only a few nodes far from Zurich had over 200 ms latency.

This proves that network distance — not software — is now the main delay factor.

How Alpenglow Works with Slow or Bad Nodes

The speed in Alpenglow comes from combining many smart ideas:

Running both voting rounds at the same time;

Spreading data quickly with Rotor;

Using validator bandwidth better;

Reducing how far data needs to travel;

Picking relayers carefully;

Supporting voting even if up to 40% of stake is slow or not honest.

Alpenglow uses a “20 + 20” rule. It can keep working even if 20% of validators try to cheat and another 20% don’t answer at all.

It also uses low-variance sampling — a way to choose validators that avoids bias and keeps block processing stable.

Why This Change Is Important

Solana already had high speed in how many transactions it could process. But it still took a few seconds to say that a block was final. That’s not enough for things like:

Real-time games;

Fast trading platforms;

Web2-like user interfaces;

Stablecoins that need instant confirmation.

Alpenglow brings Solana into a new category. It’s not just fast in throughput, but fast in response time.

That means users can now click and see results as quickly as they would on PayPal or Stripe — but on a fully decentralized system.

What Was Removed — And Why

To reach this level of speed, Solana had to say goodbye to TowerBFT and PoH. These were strong systems. They helped Solana grow early on.

But both had limits:

TowerBFT needed several rounds of voting;

PoH depended on timing and exact schedules.

Alpenglow removes these steps. Instead, it uses direct messaging, parallel voting, and a simple but strong data layer. The result is fewer delays and more flexibility.

Scientific Backing and White Paper

Alpenglow is not just theory. It’s built on real research. The Solana team created a white paper to explain how it works.

This document includes:

Clear definitions;

Simple explanations;

Example code (pseudocode);

Graphs and simulation tests;

Formal proofs of correctness.

The team didn’t just guess. They tested everything using Solana’s current mainnet stake distribution. The results show that the system is both fast and secure.

What Alpenglow Changes for Solana’s Future

Alpenglow brings a new way for Solana to handle apps that need very fast response times. With this system, the network can finish blocks in just 100 to 150 milliseconds. That’s faster than many systems that are not even decentralized. This speed doesn’t just make things quicker — it creates new ways to use the blockchain.

The upgrade replaces older systems like TowerBFT and PoH. In their place, it uses tools called Votor and Rotor. These tools help move data faster and use the network’s power more wisely. Because of this, Solana is now better prepared to support apps that need to react right away — like games, payment apps, or trading platforms.

If more developers start using Alpenglow, it could help Solana grow into new areas. These are areas where being fast and steady is very important. This wouldn’t just speed up today’s apps. It might also lead to new kinds of tools — ones that expect a blockchain to answer as quickly as a cloud service.

Solana would then stop just following what users ask for. Instead, it could lead the way and show what’s possible. That’s a big change — from being one of the fast blockchains to becoming the one that sets the pace for what blockchains should do next.

The post Solana Unveils Alpenglow, A Major Consensus Upgrade With Sub-Second Finality appeared first on Metaverse Post.

Platform for creation and exchange of memecoins, Four.meme disclosed that World Liberty Financial—a decentralized finance organization with associations to Donald Trump and his family—has completed its initial purchase of meme tokens on the platform. The tokens acquired were from the B project, which was launched through Four.meme and is paired with the USD1 asset. 

“Love seeing projects choose $USD1 as their base pair — faster settlement, deeper liquidity, and growing every day. We hope to see more tokens make the switch,” World Liberty Financial stated on the social media platform X.

The project further stated that this acquisition was directed to the BUILDon initiative.

Historic first — @worldlibertyfi just bought their first meme token: $B @BUILDonBSC_AI, proudly launched from https://t.co/IRnIR1BwDd on @BNBCHAIN

As the $USD1 ecosystem grows, we’re seeing real builders choose real assets — faster, deeper, and more decentralized.

More… https://t.co/ioq20nq9do

— Four.Meme (@four_meme_) May 22, 2025

As reported by the blockchain analytics service Lookonchain, World Liberty Financial conducted a transaction by acquiring 636,961 B tokens in exchange for a total of 25,011 USD1, with the confirmed through on-chain data available on Debank. 

The development marks a notable point for the Four.meme platform, as World Liberty Financial aligns itself with the expanding USD1 ecosystem operating within the BNB Chain network.

The hacker who stole $300M+ from #Coinbase users sent a taunting message to @zachxbt 2 hours ago and sold 8,698 $ETH for $22.12M $DAI.https://t.co/kpz89TOaCE pic.twitter.com/cvYtSKPVuC

— Lookonchain (@lookonchain) May 22, 2025

World Liberty Financial has engaged in multiple cryptocurrency investments in recent months, extending its portfolio to include memecoins and other digital assets. 

Since January, the organization has carried out acquisitions involving Ethereum, Wrapped Bitcoin, MOVE tokens from Movement Labs, as well as several other altcoins, including Chainlink (LINK) and Aave (AAVE). These purchases form part of a broader strategic objective to build a diversified reserve of prominent cryptocurrencies intended to enhance financial resilience and support ongoing development efforts within the decentralized finance (DeFi) sector.

Four.meme Drives Over 7,000 Token Launches In May 2025, Achieves 1.26% Graduation Rate 

Four.meme is a decentralized platform on the BNB Chain that allows users to create and launch memecoins without requiring technical skills or coding knowledge. The process involves submitting basic token information and paying a nominal fee. When a token accumulates around 24 BNB through a bonding curve mechanism, it transitions to the next stage by automatically establishing a liquidity pool on PancakeSwap V2. This pool pairs the token with BNB, facilitating open market trading.

Established in July 2024 by the creators of BinaryX, Four.meme has quickly emerged as a popular platform for memecoin development and trading within the BNB Chain ecosystem. 

In May it hosted the launch of 7,046 new tokens, with 89 successfully graduating to PancakeSwap, reflecting a graduation rate of 1.26%. Furthermore, during that timeframe, Four.meme attracted more than 30,000 weekly active users and reported a trading volume near $124.87 million.

The post Four.meme Welcomes World Liberty Financial’s First Memecoin Purchase Of 600K $B Tokens appeared first on Metaverse Post.

Singapore-based digital asset firm QCP Capital published a market update noting heightened volatility in Japan’s fixed income space, as 30-year Japanese Government Bond (JGB) yields surpass the 3% threshold—a move that has unsettled global market participants. 

The shift comes amid growing attention to Japan’s public debt profile, with the country’s debt-to-GDP ratio currently standing at approximately 234%, the highest among developed economies. While concerns about Japan’s fiscal health have existed for some time, recent remarks from Prime Minister Shigeru Ishiba appear to have reignited investor scrutiny. Demand for long-term JGBs remains subdued, and structural issues in the bond market are contributing to the upward pressure on yields. 

Typically, movements in the USDJPY currency pair are influenced more by short-term interest rate differentials than by long-term yields. However, should this bond market trend persist and concerns about Japan’s fiscal outlook intensify, the yen could experience short-term appreciation as investors reassess their exposure to Japan-related risk.

5/ $BTC briefly breached $108K but failed to hold. With accumulation by Strategy and Metaplanet potentially slowing, Bitcoin's momentum looks vulnerable. Still, it’s held up remarkably well — but a true breakout could bring sidelined capital back in force.

— QCP (@QCPgroup) May 21, 2025

According to QCP Capital, rising volatility in Japan’s bond market is beginning to influence broader global sentiment, with movements in Japanese Government Bonds (JGBs) coinciding with renewed pressure on US Treasury yields. The yield on the US 30-year bond has once again exceeded 5%, as market participants draw comparisons between Japan’s fiscal position and the growing debt profile in the United States. Although former President Donald Trump’s proposed $3.8 trillion fiscal initiative did not pass, its presentation has brought renewed attention to expansive fiscal policy frameworks in the US, raising investor caution.

In digital assets, Bitcoin made an attempt to move above the $108,000 mark but lacked the sustained momentum to hold higher levels. Current price movements appear closely aligned with treasury accumulation activity from institutional entities such as Strategy and Metaplanet. These firms continue to feature prominently among buyers at recent price points. However, there is increasing discussion that this demand may represent the last major incremental buying pressure, particularly with Bitcoin trading near all-time highs. Should accumulation by these firms ease, it could trigger profit-taking by other participants and introduce downside risk.

Despite persistent macroeconomic challenges—including elevated bond yields, rising trade tensions, and stagflation concerns projected for the latter half of the year—Bitcoin has remained relatively stable over the past several weeks. A successful breakout to new highs, however, could spark renewed speculative interest from retail investors and contribute to a broader upward extension in prices.

Bitcoin Holds Above $106K, Global Crypto Market Cap Climbs to $3.36T

At the time of reporting, Bitcoin is trading at $106,564, reflecting a 1.28% rise within the past 24 hours. The asset reached an intraday low of $104,255 and a peak of $107,955 during the same period. Bitcoin’s market capitalization has reached $2.11 trillion, showing a daily increase of 1.33%.

In parallel, the total global cryptocurrency market capitalization stands at $3.36 trillion, representing a 1.25% gain over the previous day. Trading volume across the entire digital asset market has reached $128.39 billion over the past 24 hours, indicating a 0.61% uptick, according to data from CoinMarketCap.

The post QCP Capital: Potential Bitcoin Breakout May Trigger Renewed Retail FOMO And Price Surge appeared first on Metaverse Post.