Binance introduces RESOLV coin in HODLer Airdrops, boosting user engagement. RESOLV offers DeFi solutions with Ethereum and Bitcoin-backed stablecoin, USR. Continue Reading: Binance Offers Exclusive Chance to Earn RESOLV Coins The post Binance Offers Exclusive Chance to Earn RESOLV Coins appeared first on COINTURK NEWS .
Ethereum’s client ecosystem recently faced internal tensions as reported by COINOTAG on June 11. Péter Szilágyi, a principal developer of Geth—the primary Ethereum client—revealed that the Ethereum Foundation had proposed
The CBI’s investigation revealed advanced social engineering operations being used to exploit jurisdictional gaps to target foreign victims.
TL;DR SPX’s price climbed to a nearly five-month high, while its market capitalization swelled to almost $1.5 billion. Analysts are split on what comes next: some expect a push to a new all-time high, while others warn of a short-term pullback before potential further gains. SPX Joins a Prestigious Club The meme coin sector has experienced a significant revival lately, with some tokens posting impressive gains over a short period of time . One evident example is SPX6900 (SPX), whose valuation has increased by a whopping 80% on a monthly basis . Earlier today (June 11), it spiked to $1.63, the highest point witnessed since January 2025. Later, it slightly retraced to the current $1.55 (per CoinGecko’s data). SPX Price, Source: CoinGecko SPX’s market capitalization, which exceeded $1 billion towards the end of May, is now approaching $1.5 billion. This makes the asset the 80th-biggest in the entire cryptocurrency market. Furthermore, SPX has become the fifth-largest meme coin after surpassing Fartcoin (FARTCOIN) and Bonk (BONK), both of which have a market cap of approximately $1.3 billion. The only four memes ranking higher are Dogecoin (DOGE), Shiba Inu (SHIB), Pepe (PEPE), and Official Trump (TRUMP). SPX is a meme coin built on Ethereum, with cross-chain support on Solana and Base . It is designed as a humorous take on traditional finance, satirizing the popular S&P 500 index. The meme coin began trading in the summer of 2023, with its price exploding to an all-time high of $1.72 at the start of 2025. In March, it dipped to as low as $0.25 before starting another rally. The Next Targets The resurgence caught the eye of many analysts on X, some of whom predict that a new record price could be just around the corner. The industry participant with the moniker Renksi claimed that those who sold their SPX holdings during the dip in March must be “in big regrets now.” “In the meantime, SPX is aiming for a new ATH. Buy the fear, enjoy the ride, remember that,” they added. Conversely, others warned about the risk of a short-term correction. The X user TRIGGER TRADES noted SPX’s strong rally, suggesting “a fractal pullback” might come next. However, the analyst expects this to be short-lived and eventually be replaced by a push to a new historical peak. The post SPX Flips FARTCOIN After Surging by 80% Monthly: Details Here appeared first on CryptoPotato .
In a recent X post, XRP advocates Edo Farina dropped what he calls a “bombshell” revelation: a screenshot dated September 17, 2011, featuring David Schwartz, CTO and Chief Cryptographer of Ripple , saying: “I’ve been working on a Bitcoin successor myself, after seeing what has worked well and what has not worked well.” According to Farina, this statement hints at a key truth: XRP was intentionally crafted to succeed Bitcoin. Drawing from archived comments, historical patent records, and previous reporting, Farina posits that XRP is not merely an alternative to Bitcoin, but its direct and improved heir . “Bitcoin Successor” Straight from the Source Edo Farina, a prominent XRP community figure, resurfaced a nearly decade‑old statement attributed to Schwartz, suggesting that XRP was conceived as a Bitcoin successor, designed to address Bitcoin’s early limitations . While Litecoin, Dogecoin, and countless other tokens sprouted over time, Schwartz’s own words stand out, signaling intent far deeper than mere opportunism. Beyond the screenshot, the dots could be connected to Schwartz’s 1988 patent—a precursor to decentralized ledger architecture. Schwartz’s filing describes a distributed computing system that resembles modern blockchain validation processes. Farina suggests this foresight, coupled with Schwartz’s later work on Bitcoin and the XRP Ledger, reinforces the idea of XRP as an evolved form of the original. From Bitcoin to XRP: A Technical and Ideological Evolution Schwartz’s journey began in early 2011 when he and fellow developers Jed McCaleb and Arthur Britto examined Bitcoin’s promise, but were increasingly concerned by its flaws: high energy consumption, slow transaction times, and limited scalability. At that time, Schwartz reportedly noted he was “looking for something new”, and by May 2011, development on XRP was underway. The official launch came in June 2012 . This clear progression, from Bitcoin interest to disillusionment with mining inefficiencies to the creation of XRP, exemplifies a conscious, iterative upgrade. Schwartz and his co-creators sought a protocol with near-instant settlement, minimal fees, and no reliance on energy-intensive mining. XRP as “Bitcoin 2.0” Farina and other XRP proponents view XRP as “Bitcoin 2.0”—the practical, enterprise-ready successor. In a report by TimesTabloid , this thesis is reinforced: XRP was explicitly built to “address Bitcoin’s inefficiencies,” boasting rapid transfers and low costs, rendering it well-suited for global financial adoption. The decentralized yet efficient consensus mechanism of the XRP Ledger (XRPL) operates using validator nodes, enabling transactions every few seconds, unlike Bitcoin’s proof-of-work congestion. We are on twitter, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) July 15, 2023 Revelations, Patent Footprints, and Ripple’s Military Meta In the 2000s, Schwartz reportedly worked with the NSA on cryptographic infrastructure. This background, paired with XRPL’s focus on secure payments, leads Farina to question whether XRP was part of a larger, strategic initiative. Bitcoin Founder Speculation – Some XRP community members have speculated that Schwartz might even be—or among—the real Satoshi Nakamoto, noting XRP development began within weeks of Satoshi’s final public communications. Counterpoints: Supply, Decentralization & Bitcoin Maximalism To critics, XRP’s larger supply and different consensus methods undermine its “successor” claim. Schwartz frequently addresses such critiques, emphasizing that unit‑price comparisons are misleading without context; the real metric should be utility and market capitalization. Meanwhile, Bitcoin maximalists have publicly challenged XRP’s decentralization, prompting Schwartz to underscore the XRP Ledger’s governance model and validator diversity. A New Chapter in Crypto Legacy The narrative that XRP is the “real Bitcoin successor” rests on a compelling mix of direct quotes, early patents, developer timelines, and community speculation. Edo Farina’s curation of these elements has sharpened the debate, positioning XRP not as just another altcoin but as a purposeful response to Bitcoin’s shortcomings. Whether one interprets Schwartz’s work as strategic competition, technical evolution, or part of an obscured crypto legacy, XRP’s story is undeniably intertwined with Bitcoin’s foundational ethos. As digital assets evolve, this link validates XRP’s future beyond volatility, rooted in intent, design, and ambition. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are urged to do in-depth research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on Twitter , Facebook , Telegram , and Google News The post XRP Designed to Succeed Bitcoin? David Schwartz Unearthed Statement Drops a Bombshell appeared first on Times Tabloid .
Rare Werewolf, a cybercriminal group, is conducting a sophisticated phishing campaign targeting Russian and CIS companies to mine cryptocurrency and steal sensitive data. The group exploits phishing emails with malicious
Over 34 million ETH is now locked in validators, highlighting investor confidence about Ethereum’s longevity and security. Why Record-High Staked Ethereum Matters for the Network and Market When staked Ether hits historic highs, it means that more ETH than ever before has been deposited into the Ethereum blockchain’s staking contract. Staked Ethereum refers to ETH tokens locked up in Ethereum’s Proof of Stake (PoS) consensus mechanism, primarily via the Beacon Chain. What does this mean? Well, more ETH being staked signals increased trust in Ethereum’s PoS consensus model, which began with the Ethereum 2.0 upgrade. It shows that more people are willing to participate actively in network security and governance. Furthermore, a high level of staking participation is a good indicator of network decentralization and resilience, as it means the blockchain is being secured by a large and distributed set of validators. In economic terms, this is bullish because whenever Ethereum is staked, it’s temporarily removed from criculating supply, and depending on demand ETH price can surge. Therefore, the staked ETH all-time high of 34.65 million might be a game-changer for the top altcoin as it eyes a major leg up. Why is $2,800 a Key Turning Point According to market analyst Joa, “Ethereum's Cost-Basis Distribution shows significant investor concentration around $2,800. This level is likely to attract increased selling pressure as previously underwater investors look to de-risk near their break even point and take profits.” Ethereum’s Cost-Basis Distribution is an analytical metric that shows the distribution of all ETH holders’ purchase prices (cost basis) relative to the current ETH price. In other words, it illustrates the prices that the current supply of ETH was last moved on-chain, giving insights into how much of the supply is in profit or at a loss. Therefore, Ethereum is showing intensified commitment to breach the $2,800 with its current price sitting at $2,794, according to CoinGecko data . If Ethereum holds key support levels, technical analysis suggests that the second-largest cryptocurrency based on market capitalization might soar to $4,000 if momentum continues. For instance, Ethereum exchange supply recently nosedived to a 7-year low , signalling an intensified hodling trend, which has the potential of triggering a supply shock. Ethereum Spot ETF Continues to Gain Steam The surge in spot Ethereum exchange-traded fund (ETF) inflows is reshaping ETH’s investment narrative—transforming it from a retail-centric token into a mainstream, institutional asset. With the cumulative total net inflow standing at $3.5 billion , ETH is gaining structural footing, bolstered by growing legitimacy, enhanced demand, and geopolitical portfolio diversification trends. Furthermore, spot ETF inflows recently witnessed a 15-day streak, illustrating strong investor interest and confidence in Ethereum’s long-term viability and regulatory clarity If ETH can break through key technical resistance levels, these inflows could catalyze a decisive rally—though cost-basis psychology and macroeconomic clouds warrant caution. Conclusion Thanks to a record ETH staking and heightened ETF inflows, Ethereum continues to enjoy a bullish picture both in the short and long term. Given that a surge in spot Ethereum ETF inflows means a fresh wave of capital is entering funds that directly hold Ether, not using derivatives, institutions are seeing ETH as an ideal investment vehicle. On the other hand, a high staked ETH count enhances the security and decentralization of the network, meaning more users are eyeing Ethereum yields. Since staked Ether tightens supply, Ethereum might continue scaling heights if demand remains strong.
Peter Brandt's 75% BTC crash projection could be far-fetched as 200-weekly SMA hovered around $48K.
With the recent Ethereum price trend, a crypto analyst has pointed out that the altcoin could be looking to stage a similar rally to what was seen with Bitcoin back in 2021. Crypto analyst TradingShot pointed out the similarities in a recent analysis and showing where the price could go if it does play out the same way. Ethereum Looks Like Bitcoin Did In 2021 In the analysis posted on TradingView, crypto analyst TradingShot showed how this Ethereum cycle movement looked similar to Bitcoin’s 2021 cycle movement. The first of this was recovery from a major price crash that led to new cycle lows for the cryptocurrency, before staging a recovery that pushed it toward new highs. Related Reading: Is Altcoin Season Still Coming? Why Bitcoin Is To Blame Despite Making ATHs For Bitcoin, the crash happened when the COVID-19 lockdown was announced. Following this, the Bitcoin price had fallen more than 50% from above $9,000 to less than $4,000 in less than one month. However, after this, the Bitcoin price rebounded from the cycle lows, crossing the 1-week MA50, and then breaking the lower high trendline, and going on to reach new all-time highs. For Ethereum, the crypto analyst pointed to the price crash triggered by Donald Trump’s tariff wars as being similar to Bitcoin’s COVID crash. After Donald Trump announced tariffs on other countries, the Ethereum price also crashed by a large margin, going from above $2,400 to below $1,500 in less than a month. This has been dubbed the ‘Trade War Crash’, and the altcoin is still reeling from the decline. Currently, the Ethereum price is stuck at the point where it is still trying to break above the 1-week MA50, which is now the major level to beat to confirm this trend. Just like Bitcoin, it has also seen the formation of major resistance at the lower highs, and this sits right at the $4,200 level. This means the Ethereum price still has around a 50% rally to complete before it confirms a similar trend to Bitcoin. How High ETH Price Could Go If It Plays Out If Ethereum does reclaim the 1W 50MA and then breaks the lower highs at $4,200, confirming this trend, then the resulting rally could be exceptional. For example, after breaking the lower highs, the Bitcoin price went on to reach new all-time highs of $69,000 in 2021. This means that the price went from below $4,000 to $69,000 in the space of a year. Related Reading: Pundit Says Do Not Ignore Ethereum Amid New All-Time Highs In Major Metric A similar rally would mean that the Ethereum price would rise above $10,000. Taking the same timelines into position, it would put ETH at this price sometime in 2026, a year from when the Trade Wars crash had occurred. A closer parabolic rally and an imitation of Bitcoin’s 1,700% rally would mean a price tag above $15,000 for the second-largest cryptocurrency in the space. Featured image from Dall.E, chart from TradingView.com
BitcoinWorld AI Regulation: Mastering Global Policy for Startup Success Artificial intelligence is rapidly reshaping industries, offering unprecedented opportunities for innovation and growth. For startups, leveraging AI can be the key to gaining a competitive edge, streamlining operations, and reaching new markets. However, this transformative power comes with significant challenges, particularly when navigating the complex landscape of AI regulation and policy across different jurisdictions. The journey from a local operation to successful global expansion requires a deep understanding of how AI technologies intersect with evolving legal frameworks. At a recent Bitcoin World Sessions event focused on AI, a breakout discussion brought together experts to delve into these critical issues. They explored how startups can not only survive but thrive amidst regulatory uncertainty, using AI-driven tools for enhanced digital trade , robust compliance, and efficient startup scaling . This article expands on those insights, providing a comprehensive guide for founders, investors, and policymakers grappling with the realities of the AI policy environment. What are the Key AI Policy Challenges for Startups? The rapid pace of AI development often outstrips the speed at which regulations can be drafted and implemented. This creates a dynamic and sometimes unpredictable environment for startups. Key challenges include: Lack of Harmonization: Different countries and regions are developing their own unique sets of AI rules, leading to a patchwork of requirements that can be difficult for a single startup to track and comply with across multiple markets. Defining AI: There is no universally agreed-upon legal definition of AI, which can create ambiguity about which technologies and applications fall under specific regulations. Data Privacy and Security: AI systems often rely on vast amounts of data. Complying with diverse global data protection laws (like GDPR, CCPA, etc.) while training and deploying AI models is a major hurdle. Bias and Fairness: Regulations are emerging to address potential biases in AI decision-making processes. Startups must implement measures to ensure their AI systems are fair and non-discriminatory, which requires careful data management and model validation. Liability: Determining who is responsible when an AI system causes harm or makes an error is a complex legal question that startups must consider, especially as regulations around AI liability evolve. Transparency and Explainability: Some regulations may require AI systems to be explainable or transparent in their decision-making, which can be challenging for complex ‘black box’ models. How Can Startups Leverage AI for Digital Trade and Global Expansion? Despite the policy challenges, AI offers powerful tools that can directly facilitate digital trade and enable smoother global expansion . Startups can strategically deploy AI in several areas: Automated Compliance Monitoring: AI-powered platforms can monitor changes in global regulations, alerting startups to new requirements related to data, privacy, specific AI uses (e.g., facial recognition, credit scoring), and trade restrictions. Optimizing Cross-Border Logistics and Supply Chains: AI can predict demand, optimize shipping routes, manage inventory across different regions, and navigate customs procedures more efficiently. Personalized Customer Experiences at Scale: AI enables tailored marketing, product recommendations, and customer support localized for different markets, improving conversion rates and customer satisfaction during startup scaling . Fraud Detection and Security: AI algorithms can analyze transaction patterns and user behavior to detect fraudulent activities and enhance security measures in cross-border transactions. Market Research and Localization: AI can analyze vast amounts of data from different markets to identify opportunities, understand local preferences, and assist with content localization and translation. Utilizing these AI capabilities allows startups to navigate the complexities of international markets more effectively, reducing manual effort and mitigating risks associated with digital trade . What Strategies Help Navigate AI Regulation and Ensure Compliance? Successfully managing AI regulation requires a proactive and strategic approach. Startups cannot afford to view compliance as an afterthought. Experts recommend several key strategies: Stay Informed: Continuously monitor regulatory developments in target markets. Subscribe to legal updates, follow relevant government agencies, and engage with industry associations. Build Compliance into Product Development: Design AI systems with privacy, fairness, and transparency in mind from the outset (Privacy by Design, Ethics by Design). This is far more efficient than trying to retrofit compliance later. Invest in Legal and Compliance Expertise: Even small startups should seek advice from legal professionals specializing in AI and data regulation, especially when planning global expansion . Implement Robust Data Governance: Establish clear policies for data collection, storage, use, and deletion. Ensure data used for training AI models is ethically sourced and compliant with relevant laws. Conduct Regular Audits and Risk Assessments: Periodically review AI systems for compliance with current regulations and assess potential risks related to bias, security, and privacy. Engage with Policymakers: Where possible, participate in consultations and provide feedback on proposed AI policy . Sharing real-world challenges and innovations can help shape more effective and balanced regulations. These steps are crucial for building trust with users and regulators, paving the way for sustainable startup scaling . Expert Insights from Bitcoin World Sessions: AI The discussion at Bitcoin World Sessions highlighted the importance of collaboration and knowledge sharing. Speakers emphasized that while the regulatory landscape is fragmented, there are common principles emerging, particularly around data governance, transparency, and accountability. They noted that startups already dealing with the complexities of blockchain technology and cryptocurrency regulation may have a head start in understanding distributed compliance challenges. One key takeaway was the need for flexibility. Regulations will continue to evolve, and startups must build adaptable systems and processes. Another point raised was the potential for AI itself to help manage compliance, using natural language processing to analyze legal texts or machine learning to identify compliance gaps in internal processes. The experts also stressed the importance of focusing on ethical AI development, not just legal compliance. Building trustworthy AI systems fosters user adoption and can provide a competitive advantage in markets increasingly sensitive to how technology impacts society. Navigating AI policy is not just about avoiding penalties; it’s about building a responsible and sustainable business for long-term startup scaling . Conclusion: Mastering the AI Policy Maze for Global Success The intersection of AI, policy, and global business presents a formidable challenge for startups. However, by understanding the nuances of AI regulation , leveraging AI tools for efficient digital trade , adopting proactive compliance strategies, and staying informed about evolving AI policy , startups can successfully navigate this complex environment. The insights shared at events like Bitcoin World Sessions underscore that informed decision-making, ethical development, and strategic investment in compliance are paramount for achieving significant startup scaling and sustainable global expansion in the age of AI. To learn more about the latest AI policy trends, explore our article on key developments shaping AI regulation and startup scaling. This post AI Regulation: Mastering Global Policy for Startup Success first appeared on BitcoinWorld and is written by Editorial Team