Bitcoin Treasury Capital, a Canadian publicly traded entity, has strategically allocated nearly $7 million (approximately 66 million Swedish Krona) to acquire 66 bitcoins. This transaction, executed at an average price
Circle Internet ($CRCL) stock declined about 11% on Wednesday after plunging 15.5% the previous day. The decline came as some analysts flagged the ...
Market pundits viewed crypto reserves in home applications as a tailwind for BTC.
XRP is once again making headlines—this time for all the right reasons. In a recent report, CoinDesk highlighted a bullish technical pattern forming on XRP’s chart, one that closely resembles the setup seen in Bitcoin before its massive rally to $100,000. According to the report, XRP has shown remarkable strength, maintaining a tight range between $2.00 and $2.60, despite broader market volatility. Many traders believe this stabilization is a possible sign of an impending major breakout. Reacting to this development, pro-XRP attorney John Deaton took to X to comment on the shift in media sentiment. “Is it me, or has the coverage of XRP significantly changed from 3 years ago?” Deaton wrote, noting what appears to be a growing willingness among major crypto outlets to recognize XRP’s evolving role in the digital asset space. Is it me or has the coverage of XRP significantly changed from 3 years ago? https://t.co/WZt0TmRHeB — John E Deaton (@JohnEDeaton1) June 26, 2025 CoinDesk Signals a Turning Point CoinDesk’s technical analysis draws attention to the current strength in XRP’s price action. While many altcoins have struggled to hold support, XRP has remained firm, resisting downward pressure and flashing signs of accumulation. Analysts believe the current consolidation above $2.00 is a bullish signal, particularly as volume builds and volatility narrows—conditions that often precede sharp upward moves. This setup is being compared to Bitcoin’s price behavior in earlier cycles, particularly before its surge to new all-time highs. According to the report, if momentum continues to build, XRP could soon attempt a breakout above $2.60, potentially targeting the $3.00 to $3.50 range, levels last seen during the 2017 and 2021 bull runs. XRP Price Update: Holding Firm at $2.35 As of reporting, XRP is trading at approximately $2.35, showing resilience amid a mixed crypto market. Data from CoinMarketCap and TradingView confirm that XRP has spent the last several weeks in a tight consolidation range, with strong support at $2.00 and resistance near $2.60. We are on twitter, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) July 15, 2023 On-chain indicators further support the bullish case. Exchange reserves for XRP, particularly on Binance have declined, suggesting reduced selling pressure. At the same time, large wallet addresses have steadily accumulated, signaling growing confidence from long-term holders and possibly institutions. Deaton’s Insight: A Shift in Media Tone John Deaton’s comment reflects a broader trend: the changing perception of XRP in the crypto community. Once viewed with skepticism, especially during the height of Ripple’s legal battle with the SEC—XRP is now gaining renewed attention and respect. Deaton, who played a prominent role defending XRP holders in court, has frequently criticized what he saw as unfair media bias. His latest remark points to a more balanced narrative taking shape. With Ripple expanding globally, launching its RLUSD stablecoin, and pushing major updates to the XRP Ledger, the ecosystem around XRP continues to strengthen. Combined with increasingly bullish technical signals and a notable shift in sentiment, XRP may be entering a pivotal new chapter—one that even the skeptics are beginning to acknowledge. 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 Pro-XRP Lawyer Reacts to This Bullish CoinDesk’s XRP Report appeared first on Times Tabloid .
BitcoinWorld AI Copyright Law: Crucial Victory for Meta AI Models in Fair Use Battle In a significant development for the evolving landscape of artificial intelligence and intellectual property, a federal judge recently delivered a pivotal ruling in favor of Meta. This decision, concerning the use of copyrighted books for training Meta AI Models , marks a crucial moment for the technology sector, offering a glimpse into how courts are interpreting AI Copyright Law in the digital age. For anyone tracking the intersection of technology, content creation, and legal precedent, this case sets an important tone for future innovation and content protection. Understanding the Fair Use Doctrine in AI Training At the heart of Meta’s recent legal triumph is the concept of ‘fair use.’ A federal judge, Vince Chhabria, granted a summary judgment in favor of Meta in a lawsuit initiated by 13 authors, including Sarah Silverman. The authors alleged that Meta illegally trained its AI models using their copyrighted works. However, Judge Chhabria determined that Meta’s actions in this specific case fell under the Fair Use Doctrine of copyright law, thereby making it legal. This decision aligns with a similar ruling just days prior, where a federal judge sided with Anthropic in a comparable lawsuit. These rulings collectively signal a favorable turn for the tech industry, which has long argued that training AI models on copyrighted materials constitutes fair use. The core argument often revolves around whether the AI’s use of the material is ‘transformative’—meaning it doesn’t merely reproduce the original work but uses it to create something new, like an AI model capable of generating original content. What Does This Mean for Meta AI Models and Beyond? While celebrated by tech giants, these judicial decisions are not without their caveats. Both judges emphasized the limited scope of their rulings. Judge Chhabria explicitly stated that his decision does not universally validate all AI model training on copyrighted works. Instead, he noted that the plaintiffs in the Meta case ‘made the wrong arguments’ and failed to provide sufficient evidence regarding the market effects of Meta’s use. The judge highlighted that in future cases, especially those with better-developed records on the market impact of AI’s use of copyrighted material, plaintiffs might often prevail. This nuance is critical for understanding the ongoing legal battles. For Meta AI Models , this means their specific training methodology for books was deemed fair use, but the door remains open for challenges based on different types of content or stronger evidence of market harm. Navigating AI Training Data and Legal Boundaries A key factor in the fair use determination is whether the copying of copyrighted works harms the market for those authors. In Meta’s case, the plaintiffs ‘presented no meaningful evidence on market dilution at all,’ according to Judge Chhabria. This highlights the importance of demonstrating direct economic harm or market displacement caused by AI training. Without such evidence, establishing a copyright violation becomes significantly more challenging. The outcomes for both Anthropic and Meta involved training AI models on books. However, the legal landscape is far from settled, particularly concerning other forms of AI Training Data . There are numerous active lawsuits targeting technology companies for using different types of copyrighted works: The New York Times vs. OpenAI and Microsoft: This lawsuit concerns the training of AI models on news articles. Disney and Universal vs. Midjourney: These media powerhouses are suing over the training of AI models on films. Judge Chhabria’s decision acknowledges that fair use defenses are highly case-specific, and the strength of these arguments can vary significantly across industries. He noted that ‘markets for certain types of works (like news articles) might be even more vulnerable to indirect competition from AI outputs.’ This suggests that while books might have a higher bar for proving market harm from AI training, other content forms like news articles or films could present stronger cases for copyright holders. The Broader Implications for Tech Industry Lawsuits These recent rulings provide a significant, albeit narrow, victory for the tech industry. They affirm that simply training an AI model on copyrighted content does not automatically constitute infringement, especially if the use is deemed transformative and no clear market harm is demonstrated. This could encourage continued innovation in AI development without the immediate threat of sweeping legal injunctions based solely on data acquisition. However, the judges’ cautionary remarks underscore that these are not blanket permissions. Future Tech Industry Lawsuits will likely focus more intently on the ‘market effects’ criterion of fair use, and the specific nature of the copyrighted material. Companies developing AI must remain vigilant, understanding that the legal precedents are still being forged, and what is fair use for one type of data or model may not be for another. As the legal framework for AI continues to evolve, staying informed about the latest trends and insights is crucial. Industry events offer unparalleled opportunities for connection and learning: Bitcoin World event Save $200+ on your Bitcoin World All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | July 15 REGISTER NOW The Evolving Landscape of AI Copyright Law The recent court decisions involving Meta and Anthropic represent significant milestones in the ongoing debate over AI Copyright Law . They provide a degree of clarity for tech companies engaging in AI model training, particularly concerning literary works. However, they also serve as a stark reminder that each case will be judged on its specific merits, with the ‘transformative’ nature of the use and the ‘market impact’ being paramount considerations. As AI capabilities expand and integrate deeper into various industries, the legal battles over intellectual property will undoubtedly intensify. These rulings do not provide a definitive answer for all AI training scenarios but rather lay down markers for how future cases might be argued. The balance between fostering AI innovation and protecting creators’ rights remains a complex challenge that courts, policymakers, and the industry will continue to navigate. To learn more about the latest AI market trends, explore our article on key developments shaping AI models’ features and institutional adoption. This post AI Copyright Law: Crucial Victory for Meta AI Models in Fair Use Battle first appeared on BitcoinWorld and is written by Editorial Team
The U.S. Securities and Exchange Commission (SEC) has extended the compliance deadline for Rule 15c3-3 to June 30, 2026, providing broker-dealers additional time to adjust reserve calculations for securities-type digital
Alaska finds itself in a peculiar position. You can invest in cryptocurrency here and pay
This content is provided by a sponsor. The meme coin market of mid-2025 shows cautious optimism for Dogecoin ( DOGE), Shiba Inu ( SHIB), and Pepe Coin ( PEPE), tempered by recent volatility and evolving investor sentiment. Dogecoin, priced at approximately $0.172, experienced a slight 2.76% drop on the day. Still, it remains robust, having
Binance has launched an ambitious global training initiative to create a new generation of “crypto cops” capable of combating the explosive surge in Web3 crime. This law enforcement training program is led by Binance’s Head of Law Enforcement Training, Jarek Jakubcek, with recent training sessions held in Thailand and South Korea. Crypto crime moves fast. Can law enforcement keep up? #Binance is helping train the next wave of “crypto cops” to fight back. See how we’re bridging traditional policing with #Web3 https://t.co/vwZTLYmM7g pic.twitter.com/JGBqxH3NYi — Binance (@binance) June 25, 2025 This particularly came at a time when Blockchain security data reveals 2024 as potentially the worst year for crypto-related criminal activity in history, with over $3 billion in annual losses . However, Binance’s Financial Intelligence Unit recently reported that illicit transactions account for less than 1% of total crypto volumes, despite criminals becoming increasingly sophisticated. These include ransomware attacks demanding millions in payments, large-scale pig butchering scams that drained $3.6 billion from investors in 2024 , and state-backed hacking groups. Binance ‘Crypto Cops’: Traditional Law Enforcement Meets Borderless Digital Crime The fundamental challenge facing law enforcement in Web3 stems from incompatible operational frameworks that must reconcile to combat sophisticated criminal enterprises. Traditional policing operates within jurisdictional boundaries, relying on physical evidence and legal procedures designed for offline crimes. The Web3 ecosystem is a natively online, decentralized environment where criminals exploit pseudonymity and cross-border operations. Binance’s training programs address this critical gap by teaching officers to think beyond geographical constraints. These “crypto cops” possess a deep understanding of blockchain technology, gained through continuous education and hands-on experience with cutting-edge investigative tools. These new-generation investigators are crypto users themselves and understand that digital asset crimes operate outside traditional banking systems. Latest @Immunefi report says that “Q1 2025 marks the worst quarter for #hacks in the history of the "crypto ecosystem.” https://t.co/q69fPq2SE6 — Cryptonews.com (@cryptonews) March 27, 2025 The scale of this challenge becomes apparent when examining recent crime statistics. Q1 2025 marked the worst quarter for crypto hacks in the ecosystem’s history, as criminals stole $1.64 billion across just 39 incidents. The North Korean Lazarus Group alone accounted for 94% of total losses through sophisticated attacks on battle-tested platforms like Phemex and Bybit. These state-backed actors represent arguably the most pressing threat to the crypto industry. Recent training initiatives in Thailand, in conjunction with the Asia-Pacific Law Enforcement Day, brought together 18 speakers and officers from seven countries. The program focused on public safety, trust-building, and cross-border cooperation in Web3 security. Source: Binance South Korea’s three-day program welcomed over 600 participants who received in-depth guidance on blockchain analysis tools and cross-chain tracing techniques. Former Korean National Police Agency officer Minjae provided cultural context essential for effective international collaboration. Advanced Criminal Tactics Drive Innovation in Detection Methods The sophistication of contemporary crypto crime has compelled exchanges and law enforcement to develop increasingly sophisticated detection methodologies. Criminal networks now leverage artificial intelligence , cross-chain protocols, and automated laundering strategies to evade traditional security measures. Binance’s Financial Intelligence Unit head, Nils Andersen-Röed, revealed that criminals have evolved beyond simple darknet transactions into organized global operations. These networks exploit mixing services, privacy-enhancing tools, and high-risk exchanges to obscure transaction trails. @coinbase helps US Secret Service seize record $225 million in USDT from pig butchering scams in landmark operation targeting international criminal networks. #Coinbase #CryptoScam https://t.co/ksWEAw0vCD — Cryptonews.com (@cryptonews) June 25, 2025 Large-scale criminal networks operate across borders and maintain connections to human trafficking rings where individuals are forced into fraudulent labor. These operations increasingly utilize AI-powered tools to create deepfake videos of company executives and highly targeted phishing campaigns. The recent Christian Nieves Coinbase phishing scheme illustrates this perfectly. The New York-based criminal used a professional impersonation of “Coinbase Support” to trick over 30 customers into transferring $4 million . ZachXBT has traced a $4M Coinbase crypto scam to New Yorker Christian Nieves, showing how 30+ wallets were drained and funds gambled on Roobet. @zachxbt @coinbase #crypto #security https://t.co/CtzmK3R7oZ — Cryptonews.com (@cryptonews) June 23, 2025 Victims were instructed to create wallets using pre-generated seed phrases supplied by scammers. The entire amount was subsequently gambled away on Roobet casino despite blockchain investigator ZachXBT’s detailed on-chain analysis revealing the criminal’s identity. Binance’s response to these growing threats includes implementing advanced screening against global sanctions lists and real-time transaction monitoring using machine learning. The system detects abnormal transfer patterns and links to illicit wallets immediately upon occurrence. The exchange routinely files suspicious activity reports and collaborates with law enforcement worldwide to ensure that detected criminal behavior is properly addressed. This multi-layered compliance framework has proven effective in fund recovery efforts. The company recovered $18.2 million in stolen funds during April 2025, with the cooperation of white-hat hackers. The post Binance Launches Global ‘Crypto Cops’ Training to Combat Exploding Wave of Web3 Crime appeared first on Cryptonews .
Coinbase warned Cardano and Litecoin holders about potential fake contract addresses. Company emphasizes checking address validity before transactions on Base Layer-2 network. Continue Reading: Coinbase Sounds the Alarm on Cardano and Litecoin Risks The post Coinbase Sounds the Alarm on Cardano and Litecoin Risks appeared first on COINTURK NEWS .