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1 Jun 2026, 13:50

XDC Network Targets Trade Finance Inefficiencies With On-Chain Infrastructure

BitcoinWorld XDC Network Targets Trade Finance Inefficiencies With On-Chain Infrastructure XDC Network has announced a strategic push into on-chain trade finance infrastructure, aiming to address long-standing inefficiencies in the global trade finance market. The initiative targets a market estimated at $15 trillion, which currently relies heavily on paper-based processes and multiple intermediaries, often causing settlement delays of several days. Addressing Structural Inefficiencies in Trade Finance The current trade finance ecosystem is burdened by manual documentation, including paper invoices and bills of lading (B/L), which are prone to fraud and slow processing. XDC Network notes that small and medium-sized enterprises (SMEs) often face short-term financing rates as high as 30% annually due to these inefficiencies and perceived risks. By tokenizing trade-related assets, XDC aims to create a transparent, verifiable on-chain record of transaction histories and collateral status, potentially reducing fraud and lowering financing costs to around 10% per year. Building on Existing Institutional Momentum XDC’s strategy is bolstered by its acquisition of Contour Network last year, a trade finance platform that counts major financial institutions such as HSBC, Citi, and Standard Chartered among its participants. This acquisition provides XDC with a ready-made network of over 100 financial institutions, offering a strong foundation for scaling its on-chain solutions. The company has indicated plans to further expand its offering by integrating stablecoin payment infrastructure in the future, which could streamline cross-border transactions and reduce reliance on traditional banking rails. Why This Matters for the Broader Blockchain Market The move positions trade finance as a key growth driver for the blockchain-based real-world asset (RWA) sector. While the current on-chain trade finance market is valued at approximately $700 million, the potential for growth is significant given the scale of the global trade finance market. Tokenizing assets like invoices and bills of lading could unlock liquidity for SMEs and reduce systemic risks for financial institutions. For the blockchain industry, this represents a tangible use case beyond speculative trading, demonstrating how distributed ledger technology can address real-world financial frictions. Conclusion XDC Network’s focus on trade finance reflects a broader industry trend toward tokenizing real-world assets to improve efficiency and reduce costs. With a strong institutional network from its Contour acquisition and a clear roadmap for stablecoin integration, XDC is positioning itself at the intersection of traditional finance and blockchain technology. The success of this initiative could serve as a bellwether for the adoption of blockchain in mainstream financial infrastructure. FAQs Q1: What is the main problem XDC Network is trying to solve in trade finance? The global trade finance market relies heavily on paper documents and multiple intermediaries, leading to slow settlement times, high fraud risk, and expensive financing rates for SMEs, often reaching 30% annually. Q2: How does tokenizing invoices and bills of lading help? By putting these assets on a blockchain, XDC creates an immutable, transparent record of ownership and transaction history. This reduces the risk of fraud and allows for faster, cheaper verification, potentially lowering financing costs to around 10%. Q3: What is the significance of XDC’s acquisition of Contour Network? Contour Network includes over 100 financial institutions, including major global banks like HSBC, Citi, and Standard Chartered. This acquisition gives XDC immediate access to a large, established network of potential users for its on-chain trade finance solutions. This post XDC Network Targets Trade Finance Inefficiencies With On-Chain Infrastructure first appeared on BitcoinWorld .

1 Jun 2026, 10:50

Sui Explains What Caused Its Three Consecutive Mainnet Disruptions

Sui experienced three mainnet outages on May 28 and May 29 tied to its v1.72 release. Two halts came from a gas-charging bug exposed by the new address balances feature. The third halt followed a latent randomness bug triggered during validator restarts. The Sui Foundation published its full review of the three mainnet outages that knocked the network offline across May 28 and May 29, 2026. The firm claimed that the disruptions were caused by two distinct bugs in the v1.72 software release. The post-mortem confirmed that the first two halts shared the same root cause, while a third halt was triggered by a latent randomness-state bug exposed during validator restarts. The first outage began at around 7 a.m. PT on Thursday, May 28, and ended at about 1:30 p.m. PT the same day. The second halt ran from roughly 5 a.m. PT to 8:30 a.m. PT on Friday, May 29. The third outage began at around 1:30 p.m. PT on Friday and ended at about 7:20 p.m. PT. The Foundation said no user funds were at risk across the three events and the network did not revert any committed transactions when it resumed. SUI , the network’s native token, trades at $0.8776, down 2.6 percent on the day, 15.7 percent over the past week, and 73.0 percent over the past year. Gas-Charging Bug Drove the First Two Sui Outages The v1.72 release added a feature called address balances, which gives users a new way to store funds and pay for gas without using coin objects. Sui transactions can now pay for gas using an address balance on its own, coin objects, or a mix of both, which the team calls hybrid gas. For transactions paying with coin objects or hybrid gas, the runtime performs gas smashing before charging the transaction. The process combines all input coins into a single coin that is then debited for gas. The step runs for transactions that execute successfully and for transactions that are cancelled. The root cause of the first two outages sat at an edge case inside the hybrid gas path. If a reservation attempted to overdraft an address balance during the budget check, the attempt was blocked and the transaction was cancelled with an InsufficientFundsForWithdraw error. The Foundation said the crash did not happen during gas smashing itself. Using an address balance in a transaction emits balance deltas that are reconciled by a system settlement transaction. The crash came from a negative delta produced by the cancelled-but-still-smashed gas being applied to a zero balance during settlement. The condition could only happen when two transactions hit the scheduler at the same time and competed to spend funds from an address balance that could not cover both. The scheduler cancels one of them with InsufficientFundsForWithdraw to prevent the overdraft, but the cancelled transaction still debited funds through gas smashing. Interim Fix Came With a Known Risk That Triggered the Second Halt The fix the core team proposed on Thursday afternoon stopped the system from smashing gas when a transaction was cancelled with InsufficientFundsForWithdraw. Enough validators adopted the patch to bring the network back at about 1:30 p.m. PT, with the team accepting a known risk attached to the interim approach. The Foundation said gas logic changes are delicate work. Address balances interact with coins in complicated ways. Changes must either preserve all previous behavior or apply version gating, since nodes can fork while replaying old transactions under new logic. Sui’s gas charging also includes conservation checks that prevent any transaction from creating or destroying SUI. Skipping the step that credits any charged funds to the appropriate place would cause a crash. Charging expensive transactions also serves as a key piece of denial-of-service protection. The interim fix had a shortcoming that the team flagged when it shipped. A transaction can carry multiple reasons for cancellation, and one reason can override the others. A transaction using address balances might be cancelled because too many higher-priority transactions are queuing to touch the same hot shared object, then also be cancelled for InsufficientFundsForWithdraw when another transaction spends from the same address balance. In that scenario, the InsufficientFundsForWithdraw error gets masked by the other error, bypassing the patch and triggering the same underflow. That exact scenario hit the network on Friday morning, leading to the second outage. The team was close to completing a more durable fix at the time and finished in time to propose the new patch to validators by about 8 a.m. PT. Enough validators adopted it to bring Sui back up by 9:40 a.m. PT. Randomness State Bug Caused the Third Sui Halt The network ran normally from 9:40 a.m. PT until about 1:30 p.m. PT on Friday, when the scheduled epoch change failed to complete and the network halted a third time. The Foundation said the third halt came from a latent bug whose conditions were set by the previous restart cycle. At the start of each epoch, Sui validators run a distributed key generation, or DKG, protocol that bootstraps the random beacon used by transactions that depend on on-chain randomness. The DKG requires a higher participation threshold than normal consensus. If participation falls short, randomness disables itself for the rest of the epoch as designed. When validators restarted to install the Friday morning fix, participation for the next epoch’s DKG was not high enough, and the protocol disabled itself. The latent bug meant the failure verdict was never written to disk. As further restarts followed, each validator came back up unaware that DKG had failed. Randomness-dependent transactions expect to either execute or be cancelled. With validators no longer holding the record that DKG had failed, neither could happen. The paused queue grew, and the end-of-epoch logic, which has to drain that queue before closing, was left waiting on a DKG that would never arrive. The fix carried two parts. The first piece corrected the bug and added logic to persist DKG status across restarts. The second piece added a mechanism that lets validators close a stuck epoch at a coordinated point. The team used the new mechanism once to close the affected epoch. The network then moved into the new epoch normally, and randomness was restored. What the Sui Team Took From the Three Outages The foundation set out four takeaways from the week. End-of-epoch resilience was the first, with the team noting that the existing safe-mode fallback for epoch transitions may be too narrow. The Foundation said the ecosystem needs to extend graceful-degradation patterns across the rest of the reconfiguration path and turn the force-close mechanism into a standing operational capability. The second takeaway covered the gas-charging logic itself. The crashes in parts one and two both stemmed from bugs in gas charging, a corner of execution that interacts with the address-balance settlement system, conservation checks, and the scheduler. The team said the logic is now complex enough that edge cases are hard to rule out by inspection alone. Coming out of the incident, the Foundation said gas charging deserves the same code-quality bar as the Move VM or the Mysticeti consensus engine. The third takeaway covered AI tooling. AI agents with access to production state, capable of querying validator logs interactively, inspecting cluster state, and assembling metrics on demand, materially accelerated diagnosis during the week’s incidents. The fourth takeaway covered failure containment. The crashes in the first two outages were each triggered by specific inputs the validators could not process safely. The Foundation said the system lacks a defense-in-depth layer that would bound the blast radius of such a crash. 

1 Jun 2026, 10:02

Bitcoin and software stocks are breaking up — and history says a major crypto move is coming

Bitcoin and software equities have sharply diverged after moving in lockstep for years, raising questions over whether bitcoin will eventually catch up.

1 Jun 2026, 09:15

Dow Jones Futures Edge Higher on AI Optimism Following Strong May Rally

BitcoinWorld Dow Jones Futures Edge Higher on AI Optimism Following Strong May Rally Dow Jones futures edged higher in early Tuesday trading, building on a robust May performance as renewed optimism around artificial intelligence (AI) and technology stocks lifted investor sentiment. The positive movement follows a month that saw the Dow Jones Industrial Average post solid gains, fueled by strong corporate earnings and a resilient economic backdrop. AI Optimism Drives Market Momentum The current uptick in futures is largely attributed to continued enthusiasm surrounding AI developments. Major technology companies have reported accelerating AI-related revenue streams, and recent announcements of new AI products and services have reinforced expectations for sustained growth in the sector. This has spilled over into broader market indices, with the Nasdaq also showing strength in pre-market activity. Investors are closely watching upcoming earnings reports from key AI-focused firms, as well as any policy signals from the Federal Reserve that could influence interest rates. The combination of AI-driven productivity gains and a still-supportive macroeconomic environment has created a favorable backdrop for equities, though some analysts caution that valuations in the tech sector are becoming stretched. May Gains Set the Stage May proved to be a strong month for the Dow, which rose approximately 2.5% during the period. The rally was broad-based, with gains in industrials, healthcare, and financials complementing the tech-led advance. The S&P 500 and Nasdaq also posted solid monthly gains, reflecting widespread investor confidence. Key drivers included better-than-expected corporate earnings, easing inflation data, and resilient consumer spending. The labor market remained tight, but wage growth showed signs of moderating, which the market interpreted as a positive signal for the Fed’s inflation fight. What This Means for Investors For retail and institutional investors alike, the current market environment presents both opportunities and risks. The AI theme remains a powerful narrative, but it is increasingly priced into many high-growth stocks. Diversification across sectors and a focus on companies with strong fundamentals and reasonable valuations may be prudent strategies. Additionally, the path of interest rates remains a key variable. While the Fed has signaled a potential pause in rate hikes, any unexpected uptick in inflation could reverse market gains. Investors should remain attentive to economic data releases and Fed commentary in the weeks ahead. Conclusion Dow Jones futures rising on AI optimism reflects a market that is betting on continued technological innovation and a soft landing for the economy. While the outlook is positive, investors should remain mindful of valuation risks and macroeconomic uncertainties. The coming weeks will provide further clarity as earnings season progresses and economic data points emerge. FAQs Q1: What is driving the rise in Dow Jones futures? The rise is primarily driven by renewed optimism around artificial intelligence (AI) and strong performance in the technology sector, following a solid May for the stock market. Q2: How did the Dow Jones perform in May? The Dow Jones Industrial Average rose approximately 2.5% in May, supported by gains across multiple sectors including technology, industrials, and healthcare. Q3: What should investors watch for next? Investors should monitor upcoming AI-related earnings reports, Federal Reserve policy signals, and key economic data such as inflation and employment figures to gauge market direction. This post Dow Jones Futures Edge Higher on AI Optimism Following Strong May Rally first appeared on BitcoinWorld .

1 Jun 2026, 08:20

Ontology Shifts ONTO Wallet Into AI Data Infrastructure, Users Earn Crypto for Contributions

BitcoinWorld Ontology Shifts ONTO Wallet Into AI Data Infrastructure, Users Earn Crypto for Contributions Ontology, the decentralized identity and data infrastructure network, announced on June 1 a strategic pivot for its flagship product, ONTO Wallet. The wallet, originally designed for managing digital identities and assets, is being repositioned as a foundational layer for artificial intelligence. The move leverages Ontology’s Decentralized Identity (DID) technology to supply verifiable, user-consented data to AI foundation models, agents, and applications. Users who participate will earn cryptocurrency rewards in exchange for contributing data that helps train and refine AI systems. From Wallet to Data Gateway ONTO Wallet has long served as a self-sovereign identity and data management tool within the Ontology ecosystem. The new direction transforms it into a bidirectional data bridge: users can now perform AI-related tasks directly through the wallet, and the data they generate or share will be packaged and sold to AI companies. Ontology’s DID framework ensures that data provenance and user consent are cryptographically verifiable, a feature increasingly critical as AI companies face scrutiny over data sourcing and privacy compliance. The announcement positions ONTO Wallet within a growing trend of blockchain projects seeking to monetize user data for AI training while maintaining transparency. Unlike traditional data harvesting models, Ontology’s approach requires explicit user permission for each data contribution, recorded on-chain. This model could appeal to AI developers who need high-quality, ethically sourced training data. Market and Industry Context The intersection of blockchain and AI has become a crowded space in 2025, with numerous projects offering decentralized compute, data storage, or model training. Ontology’s differentiator lies in its established DID infrastructure, which has been in development since 2017. The ONTO Wallet already has a user base familiar with managing digital identities, potentially lowering the barrier to entry for data contribution. However, the success of this pivot depends on several factors: the volume and quality of data users provide, the willingness of AI companies to purchase such data, and the overall regulatory landscape for AI training data. The European Union’s AI Act and similar regulations in other jurisdictions increasingly require transparency in data sourcing, which could work in Ontology’s favor. What This Means for Users For existing ONTO Wallet users, the transition introduces a new utility: the ability to earn cryptocurrency by completing AI-related tasks or sharing specific data types. The announcement did not specify which tasks or data types would be rewarded, nor the expected earning rates. Ontology indicated that more details on the reward mechanism and partnership agreements with AI companies would be released in the coming weeks. This model resembles the “data-to-earn” concept seen in some Web3 projects, but with a focus on verifiable data integrity. Users maintain control over what data is shared and can revoke access at any time, thanks to the underlying DID architecture. For privacy-conscious individuals, this offers a more transparent alternative to conventional data-for-service exchanges. Conclusion Ontology’s decision to evolve ONTO Wallet into an AI data infrastructure marks a significant strategic shift, leveraging years of DID development to address a pressing need in the AI industry: verifiable, ethically sourced training data. By rewarding users with cryptocurrency, the project aims to create a sustainable ecosystem where data contributors and AI developers both benefit. The coming months will reveal whether this approach gains traction among users and enterprise clients alike. FAQs Q1: What is ONTO Wallet’s new role in AI? ONTO Wallet will function as an infrastructure layer that supplies verifiable, user-consented data to AI foundation models, agents, and applications. Users can perform AI-related tasks through the wallet and earn cryptocurrency rewards. Q2: How does Ontology ensure data privacy and consent? Ontology uses its Decentralized Identity (DID) technology to record user consent on-chain. Each data contribution is cryptographically verified, and users retain control over what data is shared and can revoke access at any time. Q3: When will the new features be available? Ontology announced the strategic shift on June 1, 2025, but has not yet provided a specific launch date for the new AI-related features. The company stated that more details on reward mechanisms and AI partnerships will be released in the coming weeks. This post Ontology Shifts ONTO Wallet Into AI Data Infrastructure, Users Earn Crypto for Contributions first appeared on BitcoinWorld .

1 Jun 2026, 07:04

Sui network hit by three outages as price dives 19%! What happened?

🚨 Sui suffered three back to back outages, dragging $SUI price down 19 percent. Each outage was triggered by software bugs tied to new features and random number protocols. 🕵️‍♂️ Previous major outages in Sui highlight ongoing reliability challenges. Continue Reading: Sui network hit by three outages as price dives 19%! What happened? The post Sui network hit by three outages as price dives 19%! What happened? appeared first on COINTURK NEWS .