2 Jun 2025, 07:52

TON network recovers from 40-minute outage that halted block production

Telegram-linked The Open Network has resumed operations after a brief outage on June 1 that halted block production. On June 1, TON developers announced that a fix was deployed 40 minutes after the issue was identified. According to TON’s official update, the incident stemmed from an error in the processing of the masterchain dispatch queue, temporarily disrupting block production. The development team successfully isolated the problem and quickly implemented a corrective patch, as updating only a few masterchain validators was sufficient to resume block production and restore network consensus. Developers have also confirmed that no user assets were affected by the disruption, and a post-mortem of the incident will be published in the coming days. Outages like these are not limited to just TON and have also affected other high-throughput blockchains such as Solana and Sui , among others, over the past year. These outages typically occur when validator nodes lose consensus or encounter software bugs, often triggered by sudden surges in network activity or flawed code logic. For TON, this is not the first time it has experienced service interruptions. In August 2024, the network faced two major outages due to overwhelming traffic from the launch of the DOGS memecoin. You might also like: Toncoin jumps 6% as BlackRock reportedly eyes Telegram’s $1.5b bond offering On August 27, block production halted at workchain block 45,341,899 and resumed only after a coordinated node reset by validators. A second outage followed on August 28, lasting around six hours, with block 45,350,522 marking the pause. Another incident occurred in December 2023, when a surge in TON20 transactions led to a drastic drop in transaction speed. TPS fell from 100,000 to under one due to validators operating on underpowered hardware. TON developers issued a patch and encouraged hardware upgrades while promising penalties for network participants who failed to meet performance standards. Despite these technical setbacks, interest in the TON ecosystem has remained strong. In March 2025, the project secured $400 million in funding from major firms, including Sequoia Capital, Draper Associates, CoinFund, and SkyBridge. Read more: Here’s why the Toncoin price surge may be short-lived

2 Jun 2025, 07:50

Ethereum Scaling: Vitalik Buterin Predicts Rapid 10x Breakthrough

BitcoinWorld Ethereum Scaling: Vitalik Buterin Predicts Rapid 10x Breakthrough Are you invested in or building on Ethereum? Then you know that Ethereum scaling has been one of the network’s biggest challenges. High transaction fees and network congestion during peak times can make interacting with decentralized applications (dApps) costly and slow. But what if that’s about to change significantly? Ethereum co-founder Vitalik Buterin recently shared some optimistic insights that suggest a dramatic improvement is on the horizon. What Did Vitalik Buterin Say About ETH Scalability? Speaking at the ETHGlobal Prague event, held from May 30 to June 1, Vitalik Buterin offered a compelling vision for the near future of the network. According to a report by Cointelegraph on X, Buterin stated that Ethereum could experience a roughly tenfold improvement in scalability within the next year. This isn’t just a minor tweak; a 10x increase in capacity and speed would be a significant leap forward for ETH scalability . He also added an interesting detail about the network’s development pace following this predicted surge. Buterin expects that after achieving this substantial scaling milestone, the network would likely take a “breather” or a period of consolidation before embarking on its next major phase of advancement. This suggests a focused effort on delivering the current scaling roadmap before moving onto more complex future upgrades like full sharding. Why is Ethereum Scaling So Important for Blockchain Technology? To understand the significance of Vitalik’s prediction, we need to look at the fundamental challenges faced by early blockchain technology , especially those designed for smart contracts like Ethereum. Blockchains, by their nature, prioritize security and decentralization. Every transaction is processed and validated by numerous nodes across the network, ensuring robustness and trustlessness. However, this distributed consensus mechanism limits the number of operations the network can handle per second compared to centralized systems like Visa or Mastercard. This limitation is often referred to as the ‘blockchain trilemma,’ where it’s difficult to simultaneously achieve high levels of decentralization, security, and scalability without compromise. As Ethereum’s popularity grew, so did the demand for blockspace, leading to: High gas fees (transaction costs) Slow transaction confirmation times Limited capacity for complex dApps Barriers to entry for users in regions with lower economic capacity Improving Ethereum scaling is crucial for it to become a truly global, mainstream platform for decentralized finance (DeFi), NFTs, gaming, and other applications. Without better scalability, the network risks pricing out users and hindering innovation. How Will Ethereum Achieve This 10x Scaling Using Layer 2 Solutions? Vitalik’s prediction is primarily based on the ongoing advancements and increasing adoption of Layer 2 solutions . While future upgrades like Danksharding are part of Ethereum’s long-term plan to scale the base Layer 1, the most immediate and impactful scaling is happening on Layer 2 networks built on top of Ethereum. Layer 2 solutions process transactions off the main Ethereum chain (Layer 1) but inherit its security guarantees. Think of Layer 1 as the main highway (secure but congested) and Layer 2s as parallel express lanes (faster, cheaper, but still connected to the main highway). The most prominent types of Layer 2 solutions are rollups: Optimistic Rollups: Assume transactions are valid by default and run computation off-chain. They require a ‘challenge period’ where anyone can dispute a transaction if they believe it’s fraudulent. Examples include Optimism and Arbitrum. ZK-Rollups (Zero-Knowledge Rollups): Run computation and state storage off-chain but generate a cryptographic proof (a SNARK or STARK) that verifies the correctness of transactions. This proof is then posted to Layer 1. ZK-rollups offer faster finality than Optimistic rollups because they don’t require a challenge period. Examples include zkSync, StarkNet, and Polygon zkEVM. The predicted 10x scaling is expected to come from the maturation, optimization, and wider adoption of these rollup technologies. As more users and dApps migrate to Layer 2s, the overall transaction throughput of the Ethereum ecosystem increases dramatically, while the burden on the Layer 1 is reduced. What Are the Benefits of Improved ETH Scalability for Users? The benefits of enhanced ETH scalability powered by Layer 2 solutions are numerous and directly impact the user experience: Significantly Lower Transaction Fees: This is perhaps the most immediate and tangible benefit. Fees on Layer 2s are often fractions of a cent, making micro-transactions and frequent interactions with dApps economically viable. Faster Transaction Confirmation: Transactions are processed and finalized much quicker on Layer 2s compared to waiting for confirmation on the congested Layer 1. Enhanced User Experience: The combination of lower fees and faster speeds makes dApps feel more responsive and user-friendly, akin to traditional web applications. New Possibilities for DApps: Lower costs enable new types of dApps that were previously too expensive to run on Layer 1, such as complex games, high-frequency trading platforms, and social networks. Increased Accessibility: Reduced costs open up the Ethereum ecosystem to a global audience, including users in developing countries where high gas fees were a major barrier. This scaling progress isn’t just about technical metrics; it’s about making blockchain technology accessible and practical for everyday use. Are There Any Challenges Remaining for Ethereum Scaling? While the outlook is positive, achieving and fully realizing the benefits of 10x Ethereum scaling isn’t without its challenges: User Adoption and Education: Users need to understand how to bridge assets to Layer 2s and interact with dApps on these networks. The user experience, while improving, is still more complex than using Layer 1 directly for many. Liquidity Fragmentation: Assets and users are spread across multiple Layer 2 networks, which can fragment liquidity and make it harder for users to move between different dApps and chains. Cross-rollup communication and bridging solutions are key areas of development. Bridging Risks: Moving assets between Layer 1 and Layer 2 (and between different Layer 2s) relies on bridges, which have historically been targets for exploits. While security is improving, it remains a point of attention. Decentralization of Layer 2s: While Layer 2s inherit Layer 1 security, the sequencer (the entity that orders and batches transactions on a Layer 2) can be centralized in some implementations. Efforts are underway to decentralize sequencers. Data Availability: Ensuring the data for transactions processed on Layer 2s is available for anyone to verify (e.g., during a challenge period for Optimistic rollups) requires posting data back to Layer 1. Future upgrades like EIP-4844 (Proto-Danksharding) aim to make this data posting cheaper and more efficient. These are active areas of development within the Ethereum community, and progress on these fronts will be crucial for the long-term success of Layer 2 solutions and overall ETH scalability . What Does This Mean for the Future of Blockchain Technology? Vitalik Buterin’s prediction is not just about Ethereum; it has implications for the broader landscape of blockchain technology . As Ethereum, the largest smart contract platform, demonstrates scalable and cost-effective operation, it sets a precedent and raises the bar for other blockchain networks. Successful scaling on Ethereum validates the rollup-centric roadmap and provides a blueprint for others. It reinforces the idea that different layers are needed for different functions within a blockchain ecosystem – a secure, decentralized base layer (Layer 1) and highly scalable execution layers (Layer 2s). This architectural pattern is likely to influence the design of future blockchain systems. Furthermore, improved ETH scalability makes decentralized applications more competitive with their centralized counterparts. This is essential for driving mainstream adoption and fulfilling the promise of web3 – a decentralized internet where users have more control over their data and digital interactions. Conclusion: A Scaled Ethereum on the Horizon? Vitalik Buterin’s forecast of a roughly 10x improvement in Ethereum scaling within a year, primarily driven by the maturity and adoption of Layer 2 solutions , is a significant piece of news for the crypto world. It signals that the years of research and development into scaling technologies are beginning to yield tangible results. While challenges related to adoption, liquidity, and infrastructure remain, the path towards a more scalable, affordable, and user-friendly Ethereum is becoming clearer. This advancement in ETH scalability is crucial for Ethereum’s continued growth and its role as a foundational layer for the future of decentralized blockchain technology . As the network approaches this milestone and potentially takes a ‘breather,’ the focus will likely shift towards refining the Layer 2 ecosystem and preparing for the next wave of innovation on a more robust and accessible platform. To learn more about the latest Ethereum scaling trends, explore our articles on key developments shaping Ethereum blockchain technology . This post Ethereum Scaling: Vitalik Buterin Predicts Rapid 10x Breakthrough first appeared on BitcoinWorld and is written by Editorial Team

2 Jun 2025, 07:40

AI Investment: Elad Gil Unveils Revolutionary Rollup Strategy

BitcoinWorld AI Investment: Elad Gil Unveils Revolutionary Rollup Strategy In the rapidly evolving landscape of technology and finance, particularly at the intersection with the crypto world where innovation is key, seasoned investors are constantly seeking the next frontier. Elad Gil, a name synonymous with early, successful bets on transformative technologies like AI, is now turning his attention to a groundbreaking approach: leveraging artificial intelligence to acquire and scale traditional, people-intensive businesses. This AI Investment strategy could reshape how we think about private equity and operational efficiency. Understanding Elad Gil’s Vision for AI Elad Gil has a proven track record of spotting trends before they become mainstream. His early backing of AI pioneers like Perplexity, Character.AI, and Harvey demonstrates his foresight. Now, as the initial wave of AI adoption clarifies market leaders, Gil sees a significant opportunity not just in building new AI companies, but in applying AI to fundamentally change existing business models. His core insight revolves around the power of generative AI to handle language and text-based tasks. As Gil notes, AI is exceptionally good at understanding, manipulating, and producing text, audio, and video. This capability extends to coding, sales outreach, and critical back-office functions that are common in many traditional service businesses. The Power of the AI-Powered Rollup Strategy The concept is straightforward yet potentially transformative. Identify established businesses that rely heavily on human labor for repetitive, language-based tasks – think law firms, consulting practices, or other professional services. Acquire these businesses, then deploy AI to automate or significantly enhance these tasks. This process dramatically increases operational efficiency and, crucially, improves profit margins. Here’s where the ‘rollup’ part of the Rollup Strategy comes in: with the boosted margins and increased cash flow, the acquiring entity is in a stronger position to acquire other similar businesses. By repeating this process, they can build a larger, more efficient group of companies faster and potentially at a better price than competitors who haven’t achieved the same level of AI-driven margin improvement. Gil emphasizes the advantage of outright ownership in this model. Owning the asset allows for much faster and deeper integration of AI technology compared to simply selling software to these businesses as a vendor. This control is key to rapidly realizing the margin improvements that fuel the acquisition cycle. Why This Investment Focus is Different While ‘technology-enabled rollups’ have existed before, Gil believes the current generation of AI offers a step change. Past attempts often used technology as a thin layer primarily to boost valuation rather than fundamentally altering the cost structure. Modern AI, however, has the potential to truly redefine how these businesses operate, leading to radical changes in efficiency and profitability. Challenges in Executing the Strategy Despite the compelling potential, executing this Investment strategy isn’t without its hurdles. A significant challenge lies in assembling the right team. Success requires a rare combination: individuals with deep technological expertise, particularly in AI implementation, alongside those highly skilled in private equity and business operations. Gil notes that finding teams that seamlessly blend these two distinct skill sets is difficult. Furthermore, as the potential of this approach becomes clearer, competition from other sophisticated Venture Capital firms and investment outfits is likely to increase, potentially driving up acquisition costs. Examples and Early Indicators Elad Gil has already backed companies exploring this path. While specifics on private deals are limited, reports suggest investments like Enam Co., focused on worker productivity, align with this theme. Beyond direct rollup plays, Gil’s portfolio includes significant AI bets in verticals he sees as crystallizing, such as Harvey (legal AI), Abridge (healthcare AI), and Sierra AI (customer service AI). These companies demonstrate the types of AI applications that could be instrumental in the rollup strategy within specific sectors. Beyond the Money: A Passion for Progress For Gil, this focus appears driven by more than just financial returns. His deep-seated love for technology and progress fuels his ability to spot trends early. He recounts experimenting with early AI models like GPT-2, which allowed him to extrapolate the potential trajectory when GPT-3 arrived. This hands-on approach, involving his small team of engineering experts constantly testing and evaluating AI tools, provides a unique vantage point on where the technology is heading and how it can be applied. This constant engagement has led Gil to observe a recent shift in the AI market. While previously dynamic and uncertain, he now sees certain verticals, like legal, healthcare, and customer support, showing clear signs of market leaders emerging. This solidification provides clearer targets and potential partners for the AI-powered rollup model. Conclusion: A New Frontier for AI and Business Elad Gil’s focus on AI-powered rollups represents an exciting evolution in how artificial intelligence can be applied beyond consumer applications and foundational models. By targeting traditional, people-intensive businesses, this strategy aims to unlock significant value through operational efficiency gains, fueled by AI’s growing capabilities in handling language and repetitive tasks. While challenges remain, particularly in team building and potential competition, the rationale is compelling. It’s a strategy that doesn’t just invest in AI; it uses AI to fundamentally reshape and scale established industries, potentially creating a new class of highly efficient, technology-driven enterprises. This intersection of AI, Investment , and traditional business offers a fascinating glimpse into the future of economic transformation. To learn more about the latest AI investment trends, explore our article on key developments shaping AI adoption and features. This post AI Investment: Elad Gil Unveils Revolutionary Rollup Strategy first appeared on BitcoinWorld and is written by Editorial Team

2 Jun 2025, 07:30

Sam Altman: Unpacking the Future of AI with Biographer Keach Hagey

BitcoinWorld Sam Altman: Unpacking the Future of AI with Biographer Keach Hagey Delving into the minds shaping the future of technology is crucial for anyone navigating the evolving landscape of AI and its intersection with digital assets. A new biography, “The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future,” offers a deep dive into one of the most influential figures in this space, Sam Altman. Written by Wall Street Journal reporter Keach Hagey, the book explores Altman’s journey and provides insights into why he might be uniquely positioned for the current AI moment. Who is Sam Altman and Why Does He Matter? Keach Hagey’s biography traces Sam Altman’s path from his Midwest roots through his ventures at Loopt, Y Combinator, and ultimately, OpenAI. The book positions Altman as a central figure in the current AI revolution. Hagey argues that understanding Altman, the individual, is essential because the broad project of AI is inherently a moral one, and OpenAI’s existence is built on this foundation. While some argue it’s too early to assess AI’s full impact, Hagey contends that OpenAI has already significantly altered the business and stock market narrative, making an examination of its leader timely. Navigating OpenAI’s Unstable AI Governance Structure A significant portion of the book and Hagey’s insights focus on the dramatic events of late 2023, often referred to internally at OpenAI as “the Blip.” Altman’s temporary firing and rapid reinstatement revealed critical vulnerabilities in OpenAI’s unique structure: a for-profit entity governed by a nonprofit board. Hagey describes this arrangement as “not stable.” The structure creates a conflict where investors in the for-profit side have significant financial stakes but little formal governance control. The “Blip” demonstrated that despite formal structures, power dynamics dictated the outcome, with the threat of mass employee departure to Microsoft forcing Altman’s return. OpenAI’s subsequent steps, backing away from a full for-profit conversion, underscore the challenges of this model. Hagey predicts this “fundamentally unstable arrangement” will continue to raise concerns for potential investors, potentially impacting OpenAI’s ability to secure necessary capital. Challenges and Opportunities in OpenAI Funding The capital-intensive nature of AI development means OpenAI requires substantial funding to continue its work. Hagey suggests that the instability highlighted by the “Blip” could “absolutely” make it harder for OpenAI to raise money moving forward. While the planned public benefit corporation structure might be slightly more investor-friendly, the core issue of limited investor control persists. Despite these challenges, Hagey notes that her research suggests Sam Altman “might well be up to that challenge.” His history demonstrates a remarkable talent for fundraising and deal-making, skills that are crucial for securing the resources needed for ambitious AI projects. However, Hagey cautions that “success is not guaranteed.” Why Keach Hagey Believes Altman Was ‘Born for This Moment’ Hagey points to Sam Altman’s deal-making ability as a key reason he is particularly suited for the current landscape. She highlights his surprising success in striking massive infrastructure deals with backing from the Trump administration, despite Altman’s self-described “pretty traditionally progressive” politics. Hagey sees a parallel between Altman and figures like Trump in their shared focus on large-scale deals. “Trump respects nothing so much as a big deal with a big price tag on it, and that is what Sam Altman is really great at,” she explains. This unique skill set allows Altman to navigate complex political and financial environments to advance his vision for AI infrastructure, aligning with his long-held belief that government should play a significant role in funding and guiding AI research, reminiscent of mid-20th-century labs like Bell Labs. Understanding Altman’s Perspective on the AI Future Hagey’s research into Altman’s background, including the influence of his idealistic father and ambitious mother, sheds light on his perspective. She notes his belief in government-backed infrastructure projects and his long-standing vision for how AI research should be funded and guided. Hagey also touches on the often hyperbolic discourse surrounding AI, with its wildly utopian and doomsday predictions. She views these extremes as part of the same “hype universe,” where both sides emphasize AI’s transformative importance. As a journalist, she doesn’t take a definitive stance but admits her own skepticism about AI’s economic power has decreased as she uses the technology more frequently. Altman’s own optimism, forged in part by witnessing societal progress on issues like LGBTQ+ rights, also shapes his view of the potential AI future. Keach Hagey’s biography offers a compelling look at Sam Altman, providing context for his leadership at OpenAI and the challenges the organization faces. The book highlights the inherent instability of OpenAI’s governance, the crucial need for funding, and Altman’s particular talents as a deal-maker uniquely suited for the current AI landscape. While Altman’s ability to navigate these complexities is noted, the book serves as a reminder that the path forward for OpenAI and the broader AI future remains uncertain. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post Sam Altman: Unpacking the Future of AI with Biographer Keach Hagey first appeared on BitcoinWorld and is written by Editorial Team

2 Jun 2025, 07:10

AI Risk Assessment: Meta Plans Bold Automation Move

BitcoinWorld AI Risk Assessment: Meta Plans Bold Automation Move In the fast-paced world of technology, where platforms evolve constantly, companies like Meta are exploring new ways to manage the inherent complexities and potential pitfalls. For those invested in the digital future, understanding how major players handle critical functions like safety and privacy is key. A significant development has emerged regarding Meta’s approach to product risk assessment, signaling a major shift towards leveraging artificial intelligence. What is Meta’s AI Risk Assessment Plan? According to reports citing internal documents, Meta is planning to automate a large portion of its product risk assessments. This involves using an AI-powered system to evaluate the potential harms and privacy risks associated with updates to its popular applications, such as Instagram and WhatsApp. The goal is reportedly to have this system handle up to 90% of these reviews. The process under this new system would involve product teams completing a questionnaire about their proposed changes. The AI system would then provide an “instant decision,” identifying potential risks and outlining requirements that must be met before the update can be launched. This represents a substantial departure from the current method, which relies heavily on human evaluators. Why Embrace Automation in Tech for Risk Reviews? The primary motivation behind this move towards automation in tech is speed. By replacing lengthy human review processes with near-instantaneous AI evaluations, Meta could potentially accelerate the pace at which it develops and deploys new features and updates across its platforms. In a competitive digital landscape, faster iteration cycles can be a significant advantage. This drive for efficiency is a common theme in large tech companies constantly seeking ways to streamline operations and reduce time-to-market for innovations. How Does This Impact Product Risk Management and Tech Privacy? This shift in product risk management is particularly notable given Meta’s history. A 2012 agreement with the Federal Trade Commission (FTC) requires the company, then Facebook, to conduct privacy reviews of its products and assess the risks of updates. Until now, fulfilling this requirement has largely fallen to human reviewers tasked with safeguarding tech privacy. While the potential for faster updates is clear, concerns have been raised. One former executive reportedly told NPR that this AI-centric approach could create “higher risks.” The worry is that the AI system might be less effective at identifying subtle or unforeseen negative externalities of product changes before they cause problems in the real world, potentially impacting user tech privacy and overall platform safety. Meta’s Stance on AI Risk Assessment and Human Oversight In response to the reports, Meta has reportedly confirmed changes to its review system but offered clarification. The company insisted that only “low-risk decisions” would be automated. Complex, novel, or high-stakes issues would still undergo review involving “human expertise.” This suggests Meta aims for a hybrid approach, leveraging AI for routine assessments while retaining human oversight for situations where nuanced judgment and a deeper understanding of potential societal impacts are critical for effective product risk management and protecting tech privacy. What Are the Implications of This Automation in Tech? The move towards significant automation in tech for risk assessment highlights the ongoing tension between innovation speed and robust safety protocols. If successful, the AI system could indeed make Meta’s development process more agile. However, the effectiveness of this system in truly identifying and mitigating risks, especially novel ones, remains a key question. The reliance on AI for such a critical function in product risk management underscores the growing importance of AI safety and ethics. Ensuring the AI is trained on comprehensive data and is capable of identifying a wide range of potential harms is paramount for maintaining user trust and upholding commitments to tech privacy and safety. Conclusion Meta’s reported plan to automate a significant portion of its product risk assessments using AI marks a notable evolution in how large tech companies approach safety and compliance. While promising potential benefits in terms of speed and efficiency through automation in tech, it also brings into focus critical questions about the limitations of AI in identifying complex risks and the ongoing need for human judgment in safeguarding product risk management and user tech privacy. The implementation and performance of this system will be closely watched as a case study in balancing rapid development with responsible technological stewardship. To learn more about the latest AI market trends, explore our article on key developments shaping AI innovation. This post AI Risk Assessment: Meta Plans Bold Automation Move first appeared on BitcoinWorld and is written by Editorial Team

2 Jun 2025, 07:08

Post Pectra 'Malicious' Ethereum Contracts Are Trying to Drain Wallets, But to No Avail: Wintermute

Malicious Ethereum contracts designed to drain wallets with weak security aren't profiting from the operation, crypto market maker Wintermute said Friday, identifying these contracts as "CrimeEnjoyors." The whole issue is tied to the Ethereum Improvement Proposal (EIP)-7702 , part of the Pectra upgrade that went live early last month. It allows regular Ethereum addresses, secured by private keys, to temporarily operate as smart contracts, facilitating batched transactions, password authentication and spending limits. The regular Ethereum addresses delegate control of their wallets to smart contracts, granting them permission to manage or move their funds. While it has simplified the user experience, it has also created a risk of malicious contracts draining funds. As of Friday, more than 80% of delegations made through EIP-7702 involved reused, copy-and-paste contracts designed to automatically scan and identify weak wallets for potential theft. "Our Research team found that over 97% of all EIP-7702 delegations were authorized to multiple contracts using the same exact code . These are sweepers , used to automatically drain incoming ETH from compromised addresses," Wintermute said on X . "The CrimeEnjoyor contract is short, simple, and widely reused. This copy-pasted bytecode now represents the majority of all EIP-7702 delegations. It’s funny, dark, and fascinating all at once," the market maker added. Notable cases include a wallet that lost nearly $150,000 through malicious batched transactions in a fishing attack, as anti-scam tracker Scam Sniffer noted . Still, the large-scale money drain has not been profitable for the attackers. The CrimeEnjoyors spent approximately 2.88 ETH to authorize around 79,000 addresses. One particular address –0x89383882fc2d0cd4d7952a3267a3b6dae967e704 – handled more than half of these authorizations, with 52,000 permissions granted to it. Per Wintermute's researcher , the stolen ether can be traced by analyzing the code of these contracts. For the above example, the ETH is destined to flow the address –0x6f6Bd3907428ae93BC58Aca9Ec25AE3a80110428. However, as of Friday, it had no inbound ETH transfers. The researcher added that this pattern appears consistent across other CrimeEnjoyors as well.