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Ripple Token Exchange-Traded Funds Reach New Peak While Investor Deposits Continue for Ninth Consecutive Week

Ripple Token Exchange-Traded Funds Reach New Peak While Investor Deposits Continue for Ninth Consecutive Week

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XRP spot ETFs have accumulated record inflows over nine consecutive weeks, signaling sustained institutional interest in the token despite price volatility near key technical resistance levels. The divergence between strong fund flows and the asset’s struggle to break above $1.40 raises questions about whether inflows are purely momentum-driven or reflect deeper adoption fundamentals.

  • XRP ETFs attracted nearly $19 million in the latest week, marking the ninth consecutive week of positive inflows and reaching cumulative all-time highs of $1.7 billion in assets.
  • Bitwise’s XRP fund surpassed $500 million in assets with $608 million in cumulative net inflows, outpacing Canary Capital’s XRPC fund which has $490 million in cumulative inflows.
  • XRP price rallied 70 percent in under 72 hours between August 19 and 22, jumping from $1.00 to $1.70, but remains rejected at that level and currently trades below $1.40 resistance.
  • $1.7B Record cumulative assets in XRP spot ETFs as of early September
  • $110.49M Inflows during the final full week of August, the strongest week on record
  • 70% XRP price surge between August 19 and 22, climbing from $1.00 to $1.70
  • 9 Consecutive weeks of positive inflows into XRP ETF products through early September

XRP exchange-traded funds have delivered positive returns for nine straight weeks, with inflows totaling nearly $19 million in the most recent reporting period. The sustained buying interest has pushed cumulative net inflows to an all-time high of $1.7 billion in total assets under management across all XRP spot ETF products, demonstrating consistent institutional demand for exposure to the token through regulated investment vehicles.

The approval of XRP spot ETFs represents a significant milestone for institutional crypto adoption, similar to the earlier launch of Bitcoin and Ethereum spot ETFs in the United States. These products have opened new avenues for traditional investors, including those holding retirement accounts and using standard brokerage platforms, to gain exposure to XRP without directly managing private keys or using crypto exchanges. This infrastructure development typically precedes broader institutional participation in emerging asset classes.

Bitwise Fund Extends Lead Over Canary Capital Competitor

Bitwise’s XRP ETF has emerged as the dominant player in the nascent XRP spot fund category, recently surpassing $500 million in assets. The fund has accumulated $608 million in cumulative net inflows since launch, meaningfully ahead of Canary Capital’s XRPC fund, which has collected $490 million in cumulative inflows over the same period.

The two products represent the primary vehicles through which institutional investors can gain XRP exposure via traditional brokerage accounts and retirement accounts. The gap between the two funds reflects investor preference dynamics during a period of rapid adoption for spot crypto ETF products following regulatory approval of Bitcoin and Ethereum funds in the United States.

Bitwise’s market leadership may reflect the firm’s broader brand recognition in the crypto investment space and its track record managing digital asset ETFs. The competitive positioning between these two funds will likely continue shaping how institutional capital allocates to XRP exposure as the category matures.

Price Momentum Stalls Despite Sustained Inflow Strength

The disconnect between robust ETF inflows and price performance has become more pronounced in recent weeks. XRP experienced a dramatic 70 percent surge between August 19 and 22, rallying from $1.00 to $1.70 in less than 72 hours as investors positioned ahead of and during the buying wave. That rally proved unsustainable, with the token subsequently rejected at the $1.70 level and driven sharply lower.

The token has since attempted multiple times to reclaim the $1.40 resistance level without success. On Friday, amid the release of Consumer Price Index data, XRP swung wildly from $1.36 to $1.32 before rebounding to nearly $1.45, only to face resistance again and close below $1.40. Despite these price struggles, XRP ETFs recorded zero net inflows on Friday, a notable absence given the magnitude of market turbulence that day.

This pattern of ETF inflows decoupling from price performance is not uncommon in emerging asset categories. During the early phases of Bitcoin and Ethereum ETF adoption, similar dynamics emerged as institutions built positions at varying price levels, creating inflows that did not always correspond to directional price moves. However, the magnitude of the divergence in XRP’s case has drawn scrutiny from market participants wondering whether ETF inflows reflect genuine conviction or automated buying programs.

Analysts Divided On Whether Current Setup Repeats Prior Breakout Pattern

Market observers remain split on XRP’s near-term trajectory given the tension between inflow strength and price weakness.

Ali Martinez cautioned that large token holders have begun profit-taking at resistance, while simultaneously warning that network activity has declined sharply. This combination, he argued, could trigger another downward leg for the token. In contrast, analyst Celal Kucuker identified a chart pattern consistent with configurations that previously preceded a 600 percent price surge, suggesting the token may repeat that performance from current levels.

Technical analysis frameworks remain contested in crypto markets, particularly when fundamental catalysts are unclear. The debate between Martinez’s cautious stance and Kucuker’s bullish interpretation reflects broader uncertainty about whether XRP’s current price structure represents capitulation before a sustained breakout or the beginning of a correction that negates recent gains.

The resolution of this technical impasse at the $1.40 resistance level will likely determine whether the nine-week inflow streak continues or whether institutional capital begins rotating elsewhere. Observers should watch for movement above $1.40 as confirmation that the pattern Kucuker identified is in play, or a break below key support as validation of Martinez’s profit-taking thesis. How ETF flows respond to directional price breaks will provide critical insight into whether institutional demand for XRP remains robust or proves transitory.

Cryptocurrency Security Vulnerability Revealed Following OpenAI’s Mathematical Advancement

Cryptocurrency Security Vulnerability Revealed Following OpenAI’s Mathematical Advancement

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OpenAI’s success in automating theorem proving for advanced mathematics raises the prospect of faster smart-contract verification, but shifts the security burden from proof generation to specification quality. For crypto developers, this means formal verification tools could become more accessible while creating new pressure to define contract invariants with mathematical precision.

  • OpenAI used roughly 10,000 concurrent AI agents to solve the Navier-Stokes problem in about 88 hours, then formalized the proof in Lean in 17 hours using GPT-6 Astra.
  • The proof formally established cases C and D of the Millennium Prize formulation, showing smooth fluid can develop singularity in finite time while retaining finite energy.
  • Automated theorem proving could reduce labor costs for smart-contract verification, but may obscure iterative discovery and place greater emphasis on specification completeness before verification begins.
  • 10,000 Concurrent AI agents deployed to solve Navier-Stokes problem
  • 88 hrs Time required to produce Navier-Stokes solution using distributed agents
  • 17 hrs Additional time to formalize proof in Lean using GPT-6 Astra
  • 2 Cases (C and D) of Millennium Prize formulation formally established

OpenAI announced on September 8 that a distributed system of roughly 10,000 AI agents had solved the Navier-Stokes fluid-motion problem, a longstanding challenge in applied mathematics, after approximately 88 hours of computation. Formalizing and verifying the solution in Lean, a proof assistant software platform, required an additional 17 hours using GPT-6 Astra. The system generated an analytical proof establishing that an initially smooth fluid can develop a singularity in finite time while retaining finite energy, resolving cases C and D of the Millennium Prize formulation. OpenAI released both the proof and its Lean formalization publicly for independent review.

The Navier-Stokes equations describe how fluids move and have resisted complete mathematical characterization for centuries. The Millennium Prize Problem, established by the Clay Mathematics Institute, offers a reward for resolving fundamental questions about whether smooth solutions always exist or whether singularities can form. OpenAI’s computational breakthrough demonstrates that massive parallelization of AI reasoning agents can tackle problems previously thought to require human mathematical insight or years of specialized research effort.

Automated Theorem Proving Moves From Research Mathematics To Smart-Contract Security

For cryptocurrency developers and protocol designers, the significance of OpenAI’s breakthrough extends beyond pure mathematics to the mechanics of formal verification. Formal verification uses mathematical specifications and theorem proving to establish whether smart-contract code behaves as intended, a technique that has historically required substantial human effort to construct and review proofs. If AI systems can automate the proof-generation process at the scale OpenAI demonstrated, the cost and time barriers to formal verification could drop substantially across DeFi protocols, bridges and tokenized-asset platforms.

The blockchain industry has long recognized formal verification as a gold standard for security assurance. Projects like Cardano have invested heavily in formal methods, and major auditing firms increasingly offer formal verification services alongside traditional code review. The constraint has always been resource intensity: formally specifying and proving properties of complex contracts requires specialized expertise and significant time investment. Automated theorem proving could democratize access to these tools.

The cryptographic and financial implications are direct: wider access to formal verification could reduce the category of smart-contract vulnerabilities that escape detection before deployment.

Mathematician Terence Tao Warns Of Understanding Lost In Autonomous Proof Generation

Five days before OpenAI’s announcement, mathematician Terence Tao described a concern that bears directly on how this technology could reshape crypto security practices. Tao warned that autonomous AI systems backed by enormous computing resources could eventually generate complex mathematical solutions and formally verify them while keeping much of the iterative discovery process opaque. His central worry was that failed approaches and intermediate discoveries often produce insights outlasting the final proof itself, and an autonomous system could deliver a correct result without transferring comparable depth of understanding to human researchers.

This observation carries weight in academic mathematics, where the journey matters as much as the destination. Understanding why a proof works enables mathematicians to extend techniques to other problems and develop intuition about underlying mathematical structures. When a machine generates a proof through brute-force search over possibility spaces, human mathematicians lose the chance to learn from dead ends and heuristic choices that guide discovery.

That concern maps onto smart-contract verification in a concrete way. Ethereum documentation defines formal verification as establishing whether a contract satisfies properties developers have specified in advance. The critical vulnerability lies upstream: poorly written or incomplete specifications can allow bugs to escape detection even after verification succeeds. More capable AI systems could therefore reduce the work required to construct proofs while simultaneously increasing the importance of deciding what those proofs should cover.

Access controls, withdrawal conditions, accounting invariants and privileged functions must all be expressed accurately before any prover can test them.

Specification Quality Becomes The New Bottleneck In Contract Verification

The immediate question is whether systems capable of handling research-level mathematics can be adapted to production software in ways that auditors and developers can meaningfully inspect and understand. If automated theorem proving reduces the cost of proof generation, human expertise will shift from constructing proofs to defining the specifications those proofs verify against. Firms that can combine automated theorem proving with rigorous specification design could verify more contracts before deployment while concentrating human effort on identifying the failure modes that must never occur.

This shift mirrors similar transitions in other technical fields. Compiler technology automated away large categories of low-level programming errors, forcing developers to focus on higher-level architectural decisions. Static analysis tools caught bugs that manual code review would miss, but required engineers to understand what properties they wanted to assert. Formal verification of smart contracts could follow the same pattern: removing labor from proof construction but raising the bar for specifying what security properties matter.

The practical challenge is that human intuition about contract behavior often remains informal until it must be written down as a specification. A developer might know that a liquidity pool should never allow withdrawal of more tokens than it contains, but expressing that invariant in a form a theorem prover can work with requires mathematical rigor. The easier OpenAI makes proof generation, the more critical it becomes to invest in specification quality upfront.

The next practical test will measure whether major DeFi protocols, bridges or auditing firms begin deploying these AI-assisted verification tools on production contracts, and whether the specifications they define prove sufficient to catch real-world vulnerabilities that would have escaped traditional security review.

Solana’s attempt to outpace trading bots with a 300ms speed increase could carry unforeseen trade-offs

Solana’s attempt to outpace trading bots with a 300ms speed increase could carry unforeseen trade-offs

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Solana’s push to 300-millisecond block slots aims to reduce the arbitrage profits that trading bots extract from stale pool prices, but the network’s economic gains depend on fee structures, asset volatility, and the actual validator costs of faster execution. Understanding which participants truly benefit requires examining how different pool types, market makers, and network operators respond to the speed upgrade.

  • Solana mainnet reached the 300-millisecond slot target on August 28, down from the original 400-millisecond specification.
  • The Solana Foundation’s August analysis models that shorter intervals reduce profitable arbitrage windows, with the strongest benefit for fee-charging pools against conventional constant-product designs.
  • Faster slots increase validator voting costs until Alpenglow consensus replaces on-chain voting with a Validator Admission Ticket scaled from 1.6 SOL per epoch at 400ms down to 0.8 SOL at 200ms.
  • 300ms Solana’s current slot target as of mainnet activation on August 28
  • 36% Share of observed atomic-arbitrage profits from pure on-chain venues in August sample
  • 1.6 SOL Validator Admission Ticket cost per epoch at current 400ms specification
  • 0.8 SOL Proposed VAT cost per epoch at the 200ms endpoint

Solana’s latest network upgrade moves block production intervals from 400 milliseconds toward 200 milliseconds, aiming to shrink the time windows that allow trading bots to profit from stale liquidity pool prices. The mainnet already activated the 300-millisecond stage on August 28, with further reductions to 250 milliseconds and 200 milliseconds still pending. Separately, validator software developer Anza issued a call on September 8 for volunteers to adopt Agave v4.3. Together, these changes alter both the trading landscape and the operational costs of running Solana’s network, raising an open question: who actually keeps more value when prices update faster?

The broader context involves Solana’s competitive positioning within the Layer 1 blockchain ecosystem, where transaction speed and cost have become key differentiators. As other networks experiment with their own optimization strategies, Solana’s incremental approach to slot reduction allows for careful measurement of economic and technical outcomes at each stage. This measured deployment also reduces the risk of introducing unexpected instabilities across the validator network or disrupting market participants who have calibrated strategies around existing slot times.

How Shorter Slots Reduce Arbitrage Against Stale Pools

An automated market maker lets traders swap against a fixed pool of assets. When an external price moves before the pool’s price updates, an arbitrageur can trade against the outdated rate and pocket the difference, leaving the pool’s liquidity providers to absorb the loss. The Solana Foundation’s August analysis applied this model to constant-product pools, the most conventional AMM design, showing that shorter slot intervals leave less time for external prices to move far enough to make an arbitrage trade profitable after accounting for the pool’s trading fee.

The relative benefit is strongest when the fee creates a wide barrier relative to normal short-term price movements. Research by Jason Milionis, Ciamac Moallemi, and Tim Roughgarden modeled fee-bearing AMMs with discrete, randomly arriving blocks and showed less arbitrage extraction as blocks become more frequent. However, a given reduction in slot time carries different implications for pools trading different assets or charging different fees. With very low fees or high volatility, profitable discrepancies emerge more readily, so removing part of the waiting interval eliminates a smaller share of the opportunity.

Stablecoin pairs and other low-volatility trading venues benefit most from faster execution because price movement relative to the slot interval shrinks most dramatically. In contrast, volatile altcoin pairs may see only marginal reductions in arbitrage opportunities, since price swings can still eclipse the pool’s fee within shorter time windows. This asymmetry means liquidity providers in different market segments face different gains from the upgrade.

The underlying model does not capture all market mechanics that matter for real trading outcomes.

Proprietary Market Makers and Sandwich Attacks Face Mixed Effects

Proprietary AMMs that use quote- or oracle-driven strategies benefit differently from shorter slots. For these market makers, faster slot times help them assess how fresh their price signals are, offering a distinct advantage from the modeled reduction in arbitrage against conventional pools. The Solana Foundation’s routing evidence shows the diversity of trading mechanisms at work: in its August five-day sample, about 36 percent of observed atomic-arbitrage profits came from pure on-chain venues, while more than 60 percent of routed volume flowed through proprietary AMMs.

The Foundation’s sandwich-attack model, which examines trades that execute around a user’s order, reveals opposing pressures. An attacker has less time to react, but fewer competing trades before the user’s execution can leave more of the user’s permitted price slippage available to exploit. A sufficiently fast attacker may still find room to profit, even in faster slots. Reducing external-price delay does not mean atomic arbitrage between on-chain venues will disappear, or that proprietary makers and conventional pools will realize equal savings.

Sophisticated market makers with access to external price feeds and faster-than-gossip information channels may actually benefit from faster slots if those channels allow them to update their positions ahead of slower competitors. This advantage could concentrate liquidity provision among the most well-capitalized or technologically advanced participants, potentially reducing decentralization of the protocol’s trading ecosystem.

Validator Costs Rise Until Alpenglow Consensus Activates

The path from 300 milliseconds toward 200 milliseconds creates recurring costs for validators. Under SIMD-0525, leaders retain four consecutive slots, meaning one leader’s window at the proposed 200-millisecond endpoint would last 0.8 seconds compared with 1.6 seconds at the original 400-millisecond specification. For validators still submitting votes as on-chain transactions, voting once per slot at 200 milliseconds means roughly twice as many vote transactions over the same elapsed time as at 400 milliseconds.

Smaller validators face larger absolute net voting costs because they have fewer opportunities to recover fees while producing blocks. The Solana Foundation’s simulation does not show that faster slots mechanically increase expected revenue, even though more frequent leader opportunities make modeled rewards less variable. Validators also have less time for propagation and leader handoffs, and on-chain voting and gossip activity can increase, affecting operational margins that the per-second capacity calculation does not fully account for.

The intermediate period between 300-millisecond activation and Alpenglow deployment will be critical for identifying validators whose hardware or network connectivity cannot sustain faster voting without degraded reliability. This information allows the Foundation and validator operators to plan infrastructure upgrades or adjust participation strategies before the transition to the ticket-based system.

Alpenglow consensus, which remains a separate activation step, will replace on-chain voting fees with a Validator Admission Ticket burned from each validator’s stake.

Alpenglow Consensus Scales VAT Costs Downward With Slot Speed

The current slot-time specification scales the Validator Admission Ticket from 1.6 SOL per epoch at 400 milliseconds through 1.4, 1.2, and 1.0 SOL at intermediate stages to 0.8 SOL per epoch at 200 milliseconds. Because epochs retain the same number of slots and become shorter, that scale targets roughly 0.8 SOL per day across all slot configurations. Carrying a flat 1.6 SOL fee into every shorter epoch would undermine the intended scaling.

Anza’s feature tracker, checked September 9, lists tentative targets of 25 percent volunteer adoption on September 14, a general adoption recommendation on September 21, and a resumption of mainnet feature activation on September 28. The Foundation also distinguishes the BLS and validator-admission prerequisites activated in July from the later switch to Alpenglow consensus. Measured results by pool type and market-maker category will determine how much value each group actually retains after faster execution, competitive pressures, and all execution costs are accounted for.

The economic case for faster slots ultimately rests on whether the aggregate reduction in extractive trading activity outweighs the cumulative cost increases for validators and market participants. Early data from the 300-millisecond stage will inform whether subsequent reductions to 250 and 200 milliseconds remain economically justified or whether diminishing returns emerge.

For liquidity providers, the meaningful test is whether comparable pools retain more trading value after fees and execution costs. For proprietary makers, it is whether fresher signals improve the quotes they can deliver. Results measured by pool type will show whether the speed upgrade delivers genuine economic gains or simply shifts extraction costs to a different layer of participants.

Brazil Speeds Up Digital Asset Adoption Through $2 Billion Credit Initiative

Brazil Speeds Up Digital Asset Adoption Through $2 Billion Credit Initiative

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Brazil’s central securities regulator has established a dedicated tokenization working group while Liqi Digital Assets and XDC Network expand their partnership to $2 billion in planned issuance, signaling institutional-grade infrastructure for tokenized credit is moving from pilot phase to operational reality in Latin America’s largest economy.

  • Liqi and XDC reached their original $500 million issuance target in 15 months, nine months ahead of schedule set in April 2025.
  • Approximately $835 million has been tokenized across 386 series and 60 asset pools using 378 smart contracts on XDC mainnet.
  • Brazil’s CVM created a Tokenization Working Group in July with representatives from 14 regulatory areas to design rules for DLT-based securities.
  • $2 billion Total targeted tokenized issuance through 2028 under renewed Liqi-XDC agreement
  • $1.5 billion Additional planned issuance beyond the completed $500 million original target
  • $7.82 billion Total distributed tokenized credit tracked across the broader RWA market currently
  • $17.6 billion Ethereum’s lead in distributed RWA value versus competitors including BNB Chain

Brazil’s securities regulator and a leading tokenization platform are accelerating the deployment of blockchain-based credit infrastructure in one of the world’s largest emerging markets. Liqi Digital Assets and XDC Network announced an extended partnership targeting $2 billion in tokenized issuance through 2028, expanding from an original $500 million commitment they say was completed in roughly 15 months. The expansion comes as Brazil’s Central Securities Commission, the CVM, established a dedicated Tokenization Working Group in July tasked with designing a regulatory framework for distributed ledger technology in securities registration, custody, trading, and settlement.

The momentum reflects a broader global shift in financial infrastructure as central banks, regulators, and financial institutions recognize blockchain networks’ potential to simplify issuance, reduce intermediaries, and enable programmable finance. Brazil, home to one of the world’s largest credit markets outside developed economies, has become an early testing ground for tokenized credit instruments. Unlike tokenized sovereign debt or stablecoins pegged to central bank currencies, tokenized credit requires regulators to address how private-sector obligations and collateral pools interact with distributed ledger systems.

Liqi Achieved Original $500 Million Target Nine Months Early

When Liqi and XDC signed their initial partnership in April 2025, they projected reaching $500 million in tokenized real-world assets over two years. The companies completed that target in 15 months, suggesting demand from Brazilian financial institutions outpaced early forecasts. According to Liqi, the faster-than-expected pace reflects an existing institutional appetite for tokenized credit instruments paired with newly available blockchain infrastructure.

Currently, approximately $835 million has been tokenized across 386 separate series and 60 asset pools using 378 smart contracts deployed on XDC’s mainnet, positioning Liqi as the largest issuer of yield-bearing assets on the network. The tokenized assets include trade receivables, payroll-deductible loans, debentures, corporate credit and Brazilian receivables certificates, with issuances involving regulated institutions including Itaú BBA, Banco BV, Banco ABC Brasil and Creditas.

For participating banks, tokenization addresses operational inefficiencies in Brazil’s credit market. Traditional issuance of credit instruments involves multiple intermediaries, protracted settlement timelines, and limited access for retail investors. Blockchain-based systems compress timelines and can enable fractional ownership, potentially widening the investor pool for instruments traditionally restricted to sophisticated investors.

We signed the first agreement with a target that looked aggressive: half a billion dollars in two years. We delivered in fifteen months, because Brazil’s structured credit market was already there. What was missing was the infrastructure.

Daniel Coquieri, CEO and co-founder of Liqi Digital Assets

Tokenized Credit Expands Within Broader RWA Market

Tokenized credit instruments now represent a meaningful portion of the real-world assets market beyond early-stage Treasury products. RWA.xyz currently tracks $7.82 billion in distributed tokenized credit and an additional $37.73 billion in represented credit assets across more than 2,500 instruments globally, encompassing corporate credit, structured credit, specialty finance and other non-sovereign debt categories. Liqi’s issuance sits within this expanding segment rather than competing in the more established but commoditized Treasury space.

The distinction matters for market maturity. Tokenized government bonds, while growing rapidly, remain relatively simple instruments with minimal smart contract complexity. Tokenized credit requires infrastructure capable of handling collateral management, multiple tranches with different risk profiles, yield distribution mechanics, and subordination rules. Liqi’s deployment across 378 smart contracts reflects this complexity and demonstrates that platforms supporting such instruments must handle institutional-grade functionality.

For XDC Network, securing the extended partnership strengthens its position in the RWA sector amid intensifying blockchain competition for tokenized asset volume. Ethereum currently leads with approximately $17.6 billion in distributed RWA value, followed by BNB Chain, Solana and Stellar. XDC’s exclusive partnership with Liqi provides exposure to institutional-grade credit issuance in a jurisdiction where regulatory clarity is beginning to emerge, though the network remains specialized compared to Ethereum’s broader ecosystem.

Regulators Define Rules as Commercial Activity Accelerates

Brazil’s CVM Tokenization Working Group, launched in July with representatives from 14 regulatory areas, is engaging with industry organizations including ANBIMA, ABCripto and ABToken to establish standards for how distributed ledger systems should interact with existing securities-market rules. The group’s mandate extends to custody arrangements, asset registration, trading mechanisms and settlement procedures for tokenized instruments. This multidepartmental approach suggests regulators view tokenization as requiring coordination across enforcement, market surveillance, and prudential functions.

The CVM’s effort parallels regulatory initiatives elsewhere. The European Union’s Markets in Crypto-Assets Regulation and Singapore’s approach both attempt to integrate blockchain-based securities into existing oversight frameworks rather than creating parallel systems. Brazil’s model, by involving multiple regulatory areas, may produce more comprehensive rules but could also extend the timeline before formal guidance emerges.

Meanwhile, Brazil’s Central Bank has separately developed Drex, a DLT-based environment designed for regulated financial intermediaries exploring programmable financial services. Drex focuses on payment and settlement infrastructure rather than securities issuance, but the two initiatives create complementary tracks for institutional blockchain adoption. A bank could potentially issue tokenized credit through Liqi and XDC while settling payments through Drex infrastructure.

The $2 billion extended commitment between Liqi and XDC represents a forward target with $1.5 billion still scheduled for on-chain deployment through 2028. Whether Liqi maintains its nine-month acceleration rate will indicate whether tokenized credit can progress from isolated deployments into routine issuance involving multiple regulated banks and established financial originators. Success would validate that blockchain infrastructure can address friction in institutional credit markets beyond developed economies.

Seven-year-old blockchain abandons its network and migrates to Ethereum for protection

Seven-year-old blockchain abandons its network and migrates to Ethereum for protection

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Harmony, a blockchain that once reached an $18 billion market cap, is abandoning its independent network entirely to migrate its ONE token to Ethereum. The decision follows a catastrophic August exploit that created over 3 trillion unauthorized tokens and forced a rollback, leading leadership to conclude that state and AI-based threats make standalone operation untenable.

  • Harmony proposes permanent shutdown of its independent blockchain and full migration of ONE token to Ethereum via snapshot and airdrop.
  • August 2024 exploit minted approximately 3.01 trillion unauthorized ONE tokens across six forged transactions, necessitating a rollback of 109,000 transactions.
  • ONE trades at $0.0072, down roughly 99% from its $18 billion peak market cap, as the network abandons its original mission to operate independently.
  • $18B Peak market capitalization during 2021 boom, versus current market cap near $10.75 million
  • 3.01T Unauthorized ONE tokens created in August cross-shard exploit, requiring network rollback
  • $100M Funds drained from Horizon bridge in June 2022 attack attributed to North Korea’s Lazarus Group
  • $0.0072 Current ONE trading price, representing 99% decline from peak value

Harmony, a seven-year-old blockchain network, announced on September 6 that it will permanently shut down its independent chain and migrate its ONE token to Ethereum, marking a dramatic reversal from its original vision as a high-performance, sharded blockchain. The proposal would transfer ONE holdings to Ethereum through a snapshot-based airdrop mechanism, preserving the token’s total supply and emission schedule while allowing existing holders to receive new tokens based on their final block holdings. The decision comes after a catastrophic August 11 security exploit that exposed the network’s fundamental vulnerabilities and prompted leadership to conclude that maintaining an independent blockchain now carries unacceptable risks.

Harmony was founded to address scalability limitations of existing blockchains through a sharding architecture that divides the network into parallel processing segments. By distributing transaction processing across multiple shards, Harmony aimed to achieve throughput comparable to centralized payment systems while maintaining decentralization. The network attracted significant investor interest during the 2021 cryptocurrency boom, briefly joining the ranks of top-20 cryptocurrencies by market capitalization.

August Exploit Minted 3 Trillion Unauthorized Tokens Across Six Transactions

The August 11 attack exploited a cross-shard receipt vulnerability that allowed attackers to mint tokens without corresponding debits elsewhere on the network. Harmony initially reported 4 billion ONE created in the attack, but subsequent reconstruction revealed the true scale was vastly larger: approximately 3.01 trillion ONE tokens across six forged transactions. This massive unauthorized issuance would have severely diluted all existing token holders had the attack remained undetected.

Harmony executed a rollback on August 21, discarding more than 109,000 regular transactions and 315 staking transactions from the affected shard-0 archive. The network announced it was operating normally following the restoration. However, rollbacks represent an extreme remedy in blockchain governance, as they reverse the finality that blockchain systems are fundamentally designed to provide, undermining a core principle of decentralized ledgers.

Such security incidents are not uncommon in the blockchain industry, particularly for networks attempting novel scaling solutions. Cross-shard communication protocols are inherently complex and require rigorous cryptographic verification to prevent exactly the type of exploit Harmony experienced. The failure highlighted how one vulnerability in a sharded system can compromise the entire network’s economic integrity.

Leadership Cites State and AI Threats as Justification for Full Shutdown

Despite completing the rollback, Harmony’s leadership determined that the risks of maintaining an independent blockchain outweighed the benefits of continued operation. The project cited concerns about state-sponsored attacks and emerging threats from artificial intelligence systems as key reasons for abandoning its core infrastructure entirely. This reasoning represents a significant strategic pivot from Harmony’s original mission to operate as a secure, high-performance standalone network.

The decision contradicts Harmony’s position from just weeks earlier. On August 17, the project had explicitly rejected migration to another blockchain, arguing the move would be too disruptive to users and the network. Instead, Harmony had chosen to pursue the rollback strategy, suggesting confidence in the security fix. The rapid reversal signals that leadership’s confidence in the fix proved short-lived once the full scope of the exploit became clear.

By migrating to Ethereum, Harmony transfers security responsibility to the world’s second-largest blockchain, which has operated uninterrupted since its 2015 launch and benefits from substantially larger validator incentives and institutional participation. The move also provides access to Ethereum’s mature DeFi ecosystem and significantly greater liquidity for the ONE token. However, it effectively abandons Harmony’s original value proposition as an independent scaling solution.

Harmony’s security troubles predate the August incident. In June 2022, the Horizon bridge was drained of nearly $100 million in an attack the FBI later attributed to North Korea’s Lazarus Group, triggering a prolonged decline in ONE that eventually reached approximately 99% below its peak.

Migration Plan Requires Manual User Action and Excludes Smart Contracts

Under the proposed migration plan, token holders will receive new ONE on Ethereum based on their holdings at the network’s final block, with delegated stakes and unclaimed rewards transferred into individual governor vaults. However, smart contracts, liquidity pools, and multisig safes will not automatically migrate to Ethereum. Harmony has urged users to exit smart contracts before September 10, and validators may begin shutting down operations starting at 7 a.m. Pacific Time that day.

Users will need to manually redeploy applications and liquidity on Ethereum or other platforms, placing the burden of migration directly on developers and token holders rather than handling it at the protocol level. A proposed $1.37 million compensation pool would pay governors and delegators over four quarters, contingent on shutdown and service conditions. The plan would also redirect future ONE emissions toward Harmony’s AI-video initiative, further disconnecting the token’s future from the blockchain infrastructure it was originally designed to secure.

This approach contrasts with other blockchain migrations, which have sometimes provided automated bridging mechanisms or proportionally larger compensation pools for affected users. The relatively modest compensation relative to losses incurred by those who held ONE through the 99% decline reflects the constrained resources available to a network with a current market cap under $11 million.

The proposal remains non-binding at this stage, and Harmony has not yet disclosed the final block number or the specific date for the airdrop to Ethereum. Community response to the migration plan will likely determine whether the shutdown proceeds as proposed, and token holders and affected protocols face a September 10 deadline to exit smart contracts before validator shutdown operations begin.

Vitalik Buterin bets 90 percent of his fortune on conviction that artificial intelligence poses no threat to cryptocurrency security

Vitalik Buterin bets 90 percent of his fortune on conviction that artificial intelligence poses no threat to cryptocurrency security

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Ethereum co-founder Vitalik Buterin has directly challenged predictions that artificial intelligence will crater cryptocurrency values, arguing that blockchain networks can withstand AI-driven security threats. His confidence extends to betting roughly 90 percent of his personal net worth on the proposition through his cryptocurrency holdings.

  • Buterin rejected Silicon Valley investor Liron Shapiro’s estimate of a 50% probability that Bitcoin falls over 50% within two years due to AI threats.
  • Buterin assigned very low probability to scenarios where AI breaks Bitcoin’s hashing functions or proof-of-work system fundamentally.
  • Bitcoin swap provider Boltz suspended operations in August after months of automated, AI-assisted attacks overwhelmed its small development team’s ability to patch vulnerabilities.
  • 50% Shapiro’s estimated probability of Bitcoin declining more than fifty percent in two years
  • 90% Buterin’s cryptocurrency holdings as percentage of his total net worth
  • $100M Anthropic’s committed usage credits to Project Glasswing defensive initiative
  • 100+ Organizations including Google, Microsoft, OpenAI signing open letter on AI cyberattack risks

The debate over artificial intelligence’s threat to cryptocurrency security has moved from theoretical concern to direct disagreement between two prominent voices in technology. Ethereum co-founder Vitalik Buterin has expressed optimism that AI will not trigger catastrophic losses in Bitcoin’s value, directly contradicting predictions from Silicon Valley investor and AI-risk commentator Liron Shapiro. Shapiro estimated a 50% probability that Bitcoin would fall more than 50% within the next two years, grounding his thesis in concerns that AI could undermine the security guarantees investors believe protect the network.

The disagreement reflects a fundamental uncertainty within both the cryptocurrency and artificial intelligence communities about how rapidly defensive and offensive capabilities will evolve. Proponents of cryptocurrency have long emphasized the security properties of decentralized consensus mechanisms and cryptographic algorithms that underpin blockchain networks. Critics increasingly worry that advances in AI could accelerate the discovery and exploitation of vulnerabilities across the broader cryptocurrency ecosystem, even if Bitcoin’s core protocol remains technically sound.

Buterin’s Confidence Rests on Blockchain Resilience and Fixable Vulnerabilities

Buterin rejects Shapiro’s bearish case and argues that Bitcoin should weather security failures that do not require social consensus to resolve, such as attacks on clients, mining pools, and supporting infrastructure.

The Ethereum co-founder assigned very low probability to scenarios in which AI produces a fundamental break in Bitcoin’s hashing functions or proof-of-work system. He indicated that he would ordinarily place a monetary wager on such disagreements but noted that his existing cryptocurrency holdings effectively constitute such a bet. Buterin estimated his crypto holdings amount to roughly 90% of his net worth, suggesting his personal financial commitment reflects confidence in major blockchain networks’ ability to resist AI-driven threats.

This distinction between threats to Bitcoin’s core protocol versus threats to supporting infrastructure has become central to debates about cryptocurrency’s AI vulnerability. Bitcoin’s proof-of-work security model depends on cryptographic hash functions like SHA-256, which have resisted attacks despite decades of scrutiny. Even significant advances in quantum computing or artificial intelligence are widely expected to require either fundamental breakthroughs in mathematics or prohibitively expensive computational resources to break these algorithms, though debate continues about the exact timeframes and requirements.

My basic reasons are that I am quite optimistic about cybersecurity in the long term and I see the primary problem as being getting the transition.

Vitalik Buterin, Ethereum co-founder

Buterin expects most AI-driven security failures to remain fixable and believes that defensive capabilities will eventually benefit from the same technological advances that attackers are leveraging. This optimism reflects confidence within parts of the cryptocurrency community that blockchain networks possess inherent resilience through their decentralized nature and transparent consensus mechanisms. The ability to deploy protocol upgrades through decentralized governance, while slow and sometimes contentious, does provide Bitcoin and other major networks with repair mechanisms unavailable to centralized systems.

AI-Assisted Attacks Already Targeting Cryptocurrency Infrastructure

Recent incidents demonstrate that the threat Shapiro identified is already materializing, though not through direct attacks on Bitcoin’s core cryptography.

Bitcoin swap provider Boltz suspended operations indefinitely in August after months of automated, AI-assisted probing led to several contained exploits. The attacks accelerated faster than Boltz’s small development team could investigate and patch vulnerabilities. While the company’s non-custodial architecture protected customer funds, Boltz absorbed losses from the exploits and concluded it could no longer operate safely.

The Boltz incident illustrated how AI could pressure the infrastructure surrounding Bitcoin without compromising proof-of-work or breaking the network’s underlying cryptography. Attackers used automation to repeatedly search for weaknesses faster than defenders could respond. The incident raises questions about whether smaller cryptocurrency services and infrastructure providers can maintain adequate security as AI-powered attack tools become more sophisticated and accessible. Boltz’s experience demonstrates that even well-designed systems built by security-conscious developers can struggle against relentless automated probing.

Deddy David, chief executive of blockchain security firm Cyvers, warned that financial exposure from AI-powered cryptocurrency attacks could eventually reach hundreds of millions or billions of dollars, extending across wallets, bridges, exchanges, smart contracts, and the software used to operate blockchain networks. These systems provide attackers with considerably more potential entry points than Bitcoin’s core consensus mechanism itself. The fragmented nature of cryptocurrency infrastructure, with hundreds of separate applications and service providers, creates what security researchers call an asymmetric attack surface where defenders must protect every component while attackers need exploit only one.

Defensive Initiatives Mobilizing Across Technology and Finance Sectors

The technology industry is increasingly mobilizing to ensure that defensive AI develops at least as quickly as offensive capabilities. Anthropic restricted public access to its Claude Mythos model due to its ability to autonomously discover and weaponize software vulnerabilities. The company instead directed those capabilities toward defenders through Project Glasswing, an initiative involving technology companies and financial institutions including Amazon Web Services, Google, Microsoft, and JPMorgan Chase.

Anthropic committed as much as $100 million in usage credits to Project Glasswing, which uses Mythos Preview to identify and repair vulnerabilities in critical systems before malicious attackers can exploit them.

More than 100 organizations, including Google, Microsoft, Anthropic, OpenAI, Capital One, Mastercard, Visa, Adobe, Oracle, and IBM, signed an open letter warning governments and companies that AI-enabled cyberattacks are likely to become substantially more widespread and sophisticated within months. The signatories argued that existing cybersecurity practices will not be sufficient as AI systems become more capable, particularly across historically under-resourced critical infrastructure. Cryptocurrency faces a similar defensive challenge with an additional complication: many crypto systems hold immediately transferable financial assets and operate continuously on publicly visible infrastructure, creating asymmetric risk during the period before defensive tools catch up with offensive capabilities.

The mobilization of defensive resources reflects recognition across multiple industries that AI-powered security threats represent a qualitative shift in how cyberattacks might develop. Unlike previous waves of automated attacks that relied on known exploits, AI systems can discover previously unknown vulnerabilities at speeds that outpace traditional patching cycles. This creates a window of vulnerability that cryptocurrency infrastructure, with its decentralized and heterogeneous nature, may struggle to manage effectively across all participants simultaneously.

Whether Buterin’s optimism about the trajectory of cybersecurity defenses proves justified will likely shape cryptocurrency’s regulatory treatment and institutional adoption in coming years. Regulators watching for signs that AI-powered attacks are causing systemic damage to crypto infrastructure may restrict exposure for regulated entities, potentially triggering the very confidence collapse Shapiro predicts. The resolution of this debate will influence not only cryptocurrency’s future but also broader questions about how financial systems can maintain resilience as AI capabilities accelerate.

Bank for International Settlements Investigates XRP Ledger’s Potential as a Platform for Documenting Official Data Metrics in Pilot Program

Bank for International Settlements Investigates XRP Ledger’s Potential as a Platform for Documenting Official Data Metrics in Pilot Program

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The Bank for International Settlements has published research into using the XRP Ledger to timestamp and verify the authenticity of official government statistics, a potential institutional application for public blockchain infrastructure. The work signals renewed institutional interest in distributed ledgers for high-stakes data integrity use cases, though the BIS stopped short of endorsing deployment.

  • BIS Working Paper No 1374 explores recording government statistics as cryptographic hashes on the XRP Ledger to prevent tampering and verify data authenticity.
  • The prototype records only fingerprints on-chain using the Memos field of XRP Ledger transactions, keeping sensitive data off-ledger while enabling independent verification.
  • Transaction fees average 10 drops, or 0.00001 XRP per dataset, with batch processing reducing costs further to a fraction of a cent per entry.
  • 10 drops Base transaction fee on XRP Ledger for anchoring statistical data fingerprints
  • 3-5 seconds Time required to publish a cryptographic fingerprint to the ledger
  • 1-2 seconds Time needed to verify a published fingerprint’s authenticity and integrity
  • No 1374 Working paper designation for BIS research on blockchain-based statistics verification

The Bank for International Settlements released Working Paper No 1374 examining a proof-of-concept system that anchors hashed snapshots of official statistics to the XRP Ledger. The research proposes a method for government and central bank statistical agencies to offer users an independent verification that published data originated from authorized sources and has not been altered after release. The system records only cryptographic fingerprints on-chain rather than the datasets themselves, addressing concerns about data authenticity in an environment marked by sophisticated cyberattacks and information manipulation.

Data integrity has become an increasingly urgent concern for public institutions. Central banks, statistical agencies, and government ministries face constant threats from malicious actors seeking to alter published data for political, financial, or competitive advantage. Traditional centralized databases offer limited transparency for independent verification, requiring users to trust institutional security practices without visibility into them. A blockchain-based verification layer could provide a public, immutable record that proves data has not been tampered with after publication.

Hashing Government Data Into Immutable Records

The prototype leverages the SDMX standard, or Statistical Data and Metadata Exchange, which international organizations including the BIS use to publish official statistics such as economic indicators, employment figures, and inflation data. Each dataset is normalized using Canonical XML 1.1, then hashed with SHA3-512 at both the file and individual series level. Those hashes are consolidated into a single Merkle root and written to the Memos field of an XRP Ledger Payment transaction, creating a cryptographic chain linking the published data to a specific moment on an immutable ledger.

This architecture ensures that only fingerprints appear on-chain, leaving confidential or sensitive information off-ledger. Every dataset carries a W3C Verifiable Credential in its header, cryptographically signed by the publisher’s identity keys, establishing a chain of cryptographic proof from the original data through its verification on the public ledger.

The method can extend to other formats including XBRL, which financial regulators and companies use for regulatory filings and financial reporting. This flexibility suggests the prototype could serve as a template for broader institutional applications beyond statistical data, including audit trails, compliance documentation, and regulatory submissions.

Near-Zero Costs and Fast Consensus Finality

The design avoids smart contracts entirely, eliminating gas fees and contract-related risks that have resulted in billions of dollars in losses across the blockchain industry. The XRP Ledger’s base transaction fee stands at 10 drops, or 0.00001 XRP, making each anchoring operation nearly free. When multiple datasets are batched into a single ledger entry, costs drop further to a fraction of a cent per dataset.

For statistical agencies that publish hundreds or thousands of datasets regularly, this economic model represents a dramatic reduction compared to traditional infrastructure approaches. The paper highlights the ledger’s fast consensus finality, meaning transactions become irreversible within seconds rather than minutes or hours. Testing occurred on XRPL’s DevNet, a test network mirroring the mainnet’s transaction format and close cadence, so latency figures reflect what production systems would experience.

Speed and cost efficiency matter significantly for adoption. If government agencies must choose between blockchain verification and traditional approaches, they will evaluate the operational burden and expense. A system that adds meaningful cost or latency to statistical publication workflows would face internal resistance, regardless of security benefits.

Institutional Blockchain Precedent and Open Questions

The BIS has explored public blockchain applications previously through Project Mariana, which tested wholesale central bank digital currency settlement on a public chain involving the central banks of France, Singapore, and Switzerland. That initiative demonstrated that major financial institutions would consider public distributed ledgers for critical settlement functions under appropriate conditions. During the past year, the XRP Ledger has attracted other institutional workloads, including a pilot program with JPMorgan, Mastercard and Ondo to settle tokenized Treasury bills in under five seconds.

These precedents suggest that institutional adoption of public blockchains is no longer theoretical. Major banks and central banks have demonstrated willingness to test production use cases on public distributed ledgers when security, cost, and performance requirements are met. The statistical data verification prototype builds on this emerging confidence, though success in one domain does not guarantee acceptance in another.

The BIS characterizes the work as an experimental proof-of-concept rather than a recommendation for deployment. A production-grade service would require hardware-backed signing, pinned validator nodes, comprehensive load testing, and formal security audits to ensure reliability at the scale required by major statistical agencies. The system certifies only what was published, who published it, and when publication occurred; it does not validate the accuracy or methodology behind the underlying statistics themselves.

The paper reaches no adoption decision and offers no endorsement of XRP, with authors attributing their views to themselves rather than to the BIS or its member central banks. The open question remains whether statistical agencies will evaluate the prototype for production use, or whether institutional adoption will require additional security certifications and operational frameworks beyond what the working paper specifies. Success may depend less on technology maturity than on whether government institutions develop formal policies permitting reliance on public blockchains for official records.

Mounting Credit Exposure Threatens DeFi Liquidity Pools Through “Buy, Borrow, Die” Approach Risks

Mounting Credit Exposure Threatens DeFi Liquidity Pools Through “Buy, Borrow, Die” Approach Risks

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Tax-deferred borrowing strategies popular among wealthy individuals are now embedded in decentralized finance, creating hidden credit risks that automated lending protocols cannot detect or measure. Research shows that borrowers motivated to avoid capital-gains taxes trade less actively and default at significantly higher rates as collateral prices fall.

  • US-linked borrowers on Venus protocol became 24.5 percent less likely to trade after tax reporting requirements expanded in November 2021.
  • A 1 percent increase in tax-motivated trading inactivity was associated with an 11.2 percent rise in defaulted accounts on the platform.
  • Defaulted debt totaled $133.34 million in accumulated daily exposure across roughly 1.36 million daily borrower observations from November 2020 through July 2022.
  • 24.5% Decline in trading likelihood for US-linked borrowers versus international traders after tax law change
  • 11.2% Increase in defaulted accounts per 1 percent rise in tax-motivated trading inactivity
  • $3,357.42 Average annual capital-gains tax deferred per US borrower during the study period
  • 39.6% Increase in defaulted loan value per 1 percent rise in tax-motivated inactivity

A traditional wealth management approach known as “buy, borrow, die” has migrated into decentralized finance, introducing credit risks that smart contracts cannot observe or quantify. The strategy allows investors to purchase appreciating assets, borrow against them without triggering taxable sales, and access spending power while deferring capital-gains taxes indefinitely.

Historically available only through private banking relationships where loan officers could negotiate terms and monitor borrowers’ full financial situations, the strategy has been democratized by DeFi lending protocols that apply identical collateral rules to every user based solely on wallet contents. This shift toward automation reduces overhead and expands access but removes crucial human judgment about borrower intentions and financial resilience.

Researchers from the University of Texas at Austin and the National University of Singapore examined this shift by analyzing data from Venus, a lending protocol on BNB Smart Chain. Their dataset tracked roughly 13 million transactions resolved into 1.36 million daily borrower observations from November 2020 through July 2022, providing granular visibility into borrowing behavior, trading patterns, and default outcomes rarely available in traditional finance.

How Tax Incentives Create Hidden Collateral Fragility

The mechanics of the strategy introduce precarious risk structures that appear sound until asset prices move. A borrower who purchased Ethereum for $1,000 and watched it climb to $4,000 could sell 25 percent of holdings for $1,000 in cash, but would realize a $750 taxable gain. Instead, depositing the full ETH position into a lending protocol as collateral and borrowing $1,000 in stablecoin creates no immediate taxable income while retaining full upside potential. The initial loan-to-value ratio appears comfortable at 25 percent.

If ETH falls to $2,000, that ratio doubles to 50 percent.

Interest accumulating on the debt pushes it higher still, and most lending protocols enforce automated liquidation thresholds. On Venus, a loan-to-value ratio exceeding 60 percent triggered liquidation, allowing external traders called liquidators to repay part of the debt and claim collateral at a discount. The borrower has deferred a taxable sale, but the lending pool has absorbed the risks created by collateral volatility, debt size, and critically, the borrower’s reluctance to unwind the position before liquidation occurs.

This reluctance distinguishes tax-motivated borrowers from other users. A trader interested only in speculation might close positions to preserve capital, but a borrower locked in by tax incentives faces a competing pressure: realizing a loss through liquidation triggers a taxable event, while maintaining the position through price decline risks losing collateral anyway. The protocol sees only the loan-to-value ratio, not this psychological and financial calculus.

Tax Law Changes Reduced Trading Activity and Spiked Defaults

The researchers used a natural experiment to isolate tax-motivated behavior from ordinary market volatility. The Infrastructure Investment and Jobs Act, enacted on November 15, 2021, expanded information-reporting requirements for brokers handling digital assets, signaling to traders that their activity would eventually face greater IRS visibility. The team inferred US-linked wallets by identifying activity concentrated during US business hours, unusual behavior on US-only holidays, and holdings of US-regulated stablecoins, then compared behavior in the probable US group against international users before and after the law’s announcement.

After the law’s announcement, US-linked borrowers became 24.5 percent less likely to trade assets compared to international users. Borrowers using stablecoin debt recorded an additional 23 percent decline in trading activity. Trading also fell noticeably during December, particularly in its final week when investors typically defer gains into a new tax year, then increased once holdings passed the one-year threshold associated with lower US long-term capital-gains rates. The authors estimated that US borrowers in the sample deferred an average of $3,357.42 in capital-gains tax per year, representing about 17 percent of their trading portfolios during the study period.

The paper’s final section connected reduced trading activity to loan performance. Using statistical methods that isolated the tax-induced decline in trading, the researchers found that a 1 percent increase in tax-motivated inactivity was associated with an 11.2 percent increase in defaulted accounts and a 39.6 percent increase in defaulted loan value. A one-standard-deviation increase in such inactivity corresponded to roughly $350 more defaulted debt per borrower, or about 2.7 times the baseline value in their model. The effect applied specifically to borrowers whose trading activity responded to the reporting announcement, demonstrating how tax incentives influence credit outcomes rather than serving as a universal risk multiplier across all DeFi loans.

The Blind Spot Embedded in Automated Lending Protocols

Smart contracts can monitor collateral prices, debt balances, accrued interest, and liquidation thresholds in real time. What they cannot see is the borrower’s original purchase price or the tax incentive driving their behavior. Two wallets might hold identical ETH collateral with identical loan amounts and appear interchangeable to the protocol. Yet one owner may be comfortable selling collateral if necessary, while the other is actively trying to avoid a taxable event and may resist de-risking even as the loan-to-value ratio deteriorates.

This creates what economists call a borrower-selection problem that concentrates risk among borrowers whose true motivations the protocol cannot measure.

When liquidation succeeds, an external participant repays debt and removes collateral before lenders suffer a shortfall, protecting the pool from deeper losses. When liquidation fails or lags due to market illiquidity or blockchain congestion, the cost passes through to others. Losses may hit protocol reserves, token holders, or the users who supplied assets to the pool, converting what began as one person’s tax preference into a financial outcome the entire pool shares.

DeFi moved a private-banking strategy onto a public blockchain and opened it to people far outside private banking, revealing in the process that automating the loan officer does not remove the human motives behind a loan. The technology brings transparency in some dimensions while obscuring it in others, particularly where borrower psychology and tax law intersect.

The study examined one protocol during the crypto boom and subsequent crash of 2020 through 2022, inferred US residence from wallet behavior, and applied a specific definition of default. A different protocol with deeper liquidity or different collateral limits might produce different results, and a later market with more sophisticated liquidators could behave differently from Venus during the sample period. Nonetheless, the research offers something traditional lending data rarely provides: a public view of collateral, debt, borrower activity, liquidation, and wallet abandonment at the individual level, and highlights the need for future work examining tax-motivated borrowing across other DeFi protocols and market conditions.

Monad’s mainnet upgrade reduces the cost of storing data together by 98%

Monad’s mainnet upgrade reduces the cost of storing data together by 98%

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Monad’s latest network upgrade restructures how contracts pay for data access, grouping storage into pages that dramatically reduce costs for sequential reads. This change reshapes gas economics for smart contract developers and could influence how applications organize their state storage going forward.

  • MonadTen activated on mainnet September 2 at 14:30 UTC, replacing per-slot storage warming with 128-slot pages costing 8,100 gas on first access.
  • Reading a second storage slot within the same page costs 100 gas instead of 8,100 gas, a 98 percent reduction versus the prior model.
  • Sequential state variables and struct fields now share page-level discounts automatically, incentivizing developers to store related data adjacently.
  • 8,100 gas Cost to warm a new 4,096-byte storage page on first SLOAD
  • 100 gas Cost to read subsequent slots within an already-warmed page
  • 128 Number of consecutive 32-byte storage slots grouped into each page
  • Sept 2 Date MonadTen upgrade activated on mainnet at Unix timestamp 1788359400

Monad, an EVM-compatible blockchain designed for high throughput and low latency, deployed the MonadTen upgrade on mainnet on September 2, introducing a structural change to how the network charges for storage access. The MIP-8 proposal replaces the previous slot-by-slot warming model with a page-based system that groups 128 consecutive 32-byte storage slots, totaling 4,096 bytes, into a single unit for pricing purposes.

Under the new rules, the first read from any page costs 8,100 gas, while every subsequent read within that same page costs only 100 gas for the remainder of the transaction. This represents a fundamental shift in how smart contract developers should think about storage layout and access patterns when building applications on Monad.

Page-Based Pricing Cuts Storage Costs By 98 Percent For Sequential Reads

The operational difference is significant for contract execution. On Monad mainnet block 101672712, reading slot 0 cost 8,100 gas, reading slot 1 on the same page cost 100 gas, and reading slot 128, the first slot of the next page, cost 8,100 gas again. Under the prior MonadNine rules, both slot 0 and slot 1 would have each cost 8,100 gas independently, even when stored next to each other.

The same pair now costs 8,100 gas for the first read and 100 gas for the second, representing a 98 percent reduction on the second access when both slots fall within one warmed page. For contracts that frequently access multiple related pieces of data, this creates substantial cost savings that compound across hundreds of transactions.

The 128-slot grouping was selected to balance practical memory management with meaningful cost reductions. At 32 bytes per slot, a page spans 4,096 bytes, which aligns with common page sizes in modern operating systems. This design choice allows Monad validators to efficiently manage which pages have been loaded into the execution context during block processing.

Common Solidity Patterns Automatically Benefit From Page Discounts

The incentive structure aligns with how most developers already write smart contracts. Sequential state variables, struct fields, and array elements occupy consecutive storage slots by default in Solidity, so repeated reads are more likely to fall within a single warmed page and qualify for the lower 100-gas rate.

A contract containing a struct with multiple fields, for example, naturally benefits from the page model without any code changes. When a function reads the struct’s price, balance, and owner fields sequentially, only the first field access pays 8,100 gas, while the others cost 100 gas each. This matches developer intuition about data locality and performance.

Mappings, by contrast, generally resolve to dispersed pages across the storage space, but struct fields nested within a mapping entry remain contiguous and can still share a page’s discount. Complex nested data structures therefore reward careful organization, as developers who group frequently-accessed fields together will see lower transaction costs.

Developer Tooling And Compatibility Require Adjustments To MIP-8 Model

MIP-8 preserves EVM execution semantics while fundamentally changing the assumptions used by access-list builders, storage-proof systems, and gas estimators. EIP-2930 entries, which warm storage slots for later use, now operate on a page level under the new model. Proof formats must be updated to represent the page structure rather than individual slots.

Contracts that hardcode storage-opcode gas costs into their logic represent the main compatibility risk class. For development teams building on Monad, the practical takeaway is that data read together is cheaper when stored close together, creating a direct incentive to organize related state variables sequentially within contract state.

Teams migrating existing contracts from Ethereum or other EVM chains should audit their storage layouts and consider reorganizing state variables to maximize page-level locality. This is particularly important for high-frequency read patterns in protocols like token contracts, lending platforms, and decentralized exchanges where storage access costs directly impact user transaction fees.

Developers working on Monad applications will need to update gas estimation tools and access-list construction logic to reflect the page-based pricing model, and teams relying on hardcoded gas values in existing contracts should audit whether those assumptions remain valid under MIP-8.

A leading blockchain network will temporarily halt incoming transactions for nearly half an hour to enable a tenfold increase in processing velocity

A leading blockchain network will temporarily halt incoming transactions for nearly half an hour to enable a tenfold increase in processing velocity

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MultiversX is preparing to deploy a major upgrade that will accelerate its blockchain by a factor of ten, though the transition requires coordinated action from over 5,000 node operators within a nine-day window. The speed improvement hinges on whether validators successfully migrate to new software before the network’s consensus rules change on September 10.

  • Block times will fall to 600 milliseconds from six seconds, a tenfold acceleration in transaction confirmation speed.
  • More than 5,000 nodes must migrate to new software by September 10 when the Supernova upgrade activates during epoch 2233.
  • The network will pause new transaction acceptance for approximately 24 minutes while clearing the transaction queue before faster processing begins.
  • 600ms New block time, down from six seconds under current rules
  • 250ms Target intra-shard finality, removing transaction execution from critical path
  • 2.4s Cross-shard settlement time, reduced from approximately 18 seconds
  • 95.35% Of nodes still running old software as of September 1 baseline check

MultiversX has announced a comprehensive upgrade designed to substantially improve the throughput and settlement speed of its layer-1 blockchain. The Supernova upgrade, scheduled to activate September 10 during epoch 2233, will cut block times to 600 milliseconds from the current six seconds, representing a tenfold acceleration. The upgrade restructures how MultiversX’s consensus mechanism operates, allowing validators to vote on blocks while transaction execution proceeds in parallel, thereby removing execution from the critical path that previously limited block production speed.

This architectural change represents a significant departure from MultiversX’s existing design. By decoupling consensus voting from transaction execution, the network reduces the latency bottleneck that has constrained block production in previous versions. The consensus mechanism will determine which transactions have been selected for inclusion and ordering, while the actual execution of smart contracts and state changes happens independently in the background.

Validator Coordination Window Opens With Nine-Day Migration Period

Node operators face a compressed timeline to prepare for the network-wide transition. MultiversX published a mainnet configuration release candidate on August 31, identifying round 32157661 as the planned activation point and establishing September 1 through September 10 as the migration window. A baseline measurement taken on September 1 showed that 95.35% of MultiversX’s 5,171 nodes were still running version 1.11.11.0, the older software.

This represents the starting point from which network-wide migration progress can now be tracked. The nine-day window provides sufficient time for most operators to download and deploy the new binary, conduct testing, and validate that their infrastructure is compatible with the upgraded software.

The coordination challenge is substantial because once Supernova activates, nodes running outdated software risk producing different transaction results and falling out of synchronization with the majority chain. Old and new binaries can coexist peacefully before activation, but that flexibility disappears when the new consensus rules take effect at round 32157661. Nodes that have not upgraded by that point will interpret blocks differently and will be unable to participate in consensus until they catch up.

Major blockchain upgrades historically face coordination risks when node operators have varying levels of preparedness or encounter unexpected technical issues during deployment. MultiversX’s approach of providing a specific activation round and a clear migration window gives operators predictability, though the compressed timeline means there is limited room for remediation if widespread problems emerge.

Temporary Network Pause Precedes Speed Improvements

The transition to faster block times will include a brief interruption in normal operations. MultiversX expects its mainnet to stop accepting new transactions for approximately 240 rounds under the existing six-second clock, translating to roughly 24 minutes. During this period, the network will clear transactions already in flight, while newly submitted transactions will queue until Supernova begins processing them on the accelerated schedule.

This pause mechanism reflects the technical necessity of coordinating a state transition across thousands of independent validators. The network must synchronize around the moment of activation to ensure all nodes begin using the new consensus rules simultaneously. Applications and users monitoring the network should anticipate reduced transaction throughput during this window.

Beyond the block time reduction, Supernova targets substantial improvements in finality speed. Intra-shard finality is designed to fall below 250 milliseconds, while cross-shard settlement time will drop from approximately 18 seconds to roughly 2.4 seconds. These improvements address one of the primary pain points for decentralized applications and traders, where settlement delays can create opportunity costs and complicate user experience.

MultiversX is preserving backward compatibility for addresses, keys, and balances, and keeping its epoch length unchanged to minimize disruption to existing applications. This approach reduces the implementation burden on developers and dapp operators who depend on MultiversX infrastructure, allowing them to benefit from speed improvements without recoding their applications.

EGLD Momentum Builds Ahead of Technical Milestone

MultiversX’s native token EGLD has shown renewed price strength, crossing $4 for the first time since May and reaching approximately $4.05 before retracing below that level. The token’s performance reflects investor optimism about the technical upgrade and its potential to improve network competitiveness.

Market sentiment around major blockchain upgrades often prices in anticipated improvements ahead of activation, though actual performance delivery remains the critical test. If MultiversX successfully implements the speed gains while maintaining network security and decentralization, the infrastructure improvement could enhance the network’s appeal to applications requiring high throughput and fast settlement.

The scale of the performance improvement and the coordination required from validators means the true test begins after September 10, when the network must demonstrate whether the promised speed gains materialize on mainnet and whether operators have successfully synchronized their upgrade deployments.

The critical measurement point arrives before the September 10 activation: whether MultiversX’s node version mix shifts decisively toward Supernova software ahead of round 32157661. If operators fail to coordinate the migration, the network will face the challenge of implementing substantially faster processing rules across a validator set that has not moved in sync, potentially creating synchronization issues or forcing a delayed activation.

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