Global cryptocurrency markets fluctuate strongly due to international conflicts. Trump's military ambitions may ignite new tensions with Venezuela and Russia. Continue Reading: Trump’s Bold Military Actions Stir Global Tensions The post Trump’s Bold Military Actions Stir Global Tensions appeared first on COINTURK NEWS .
David Schwartz , the Chief Technology Officer at leading cross-border payments processing giant Ripple , has outlined his outlook for the future of XRPL. The Ripple official shared his outlined vision for XRPL, particularly his solution to some existing network issues needing rectification. In an X post, Schwartz revealed the state of things with the XRP Ledger hub under his management and further highlighted a graph depicting the number of peer connections to the hub received from August 21st to August 25th. The Ripple CTO explained that the upgrade has resulted in improved bandwidth measurements, and as demonstrated by the images he provided, the hub has shown solid operation over the week. “After a week of solid operation my hub had a rough day. But it was for a very good reason — the switch it’s connected to received a massive upgrade and my bandwidth measurements are much better now.” He wrote . https://twitter.com/joelkatz/status/1960442103781318699?s=46&t=qzsvHvtDB3yjTaoaylh-2g David Schwartz shares long-term network plans for XRPL The CTO proceeded to share his long-term plans for XRPL, stating that he first intends to run production on the XRPL infrastructure. He noted that a software flaw caused server link disconnection as a key network issue plaguing the XRPL software, which could be rectified with data secured from the production hub. Schwartz went on to disclose validators’ struggle with network connectivity, which he maintains could be strengthened. He breaks down the current situation and presents a solution, as his post reads; “Third, I’ve noticed some issues around validators with network connectivity that is not as good as it could be. I think having one *really* good hub that can link several hundred nodes together, including most of the “important” nodes could make an actual difference in overall network reliability and stability.”
Chainlink partnerships with ICE, the U.S. Department of Commerce (BEA), and xStocks are accelerating its role as the leading oracle for real-world asset tokenization and market data feeds, boosting institutional
BitcoinWorld AI Copyright: Anthropic’s Alarming $1.5 Billion Settlement Sparks Debate on Writers’ Rights In the rapidly evolving world where technology intersects with creativity, a recent development has sent ripples across the tech and literary landscapes. While the cryptocurrency space often focuses on digital assets and blockchain innovations, the underlying principles of ownership and value are equally crucial in the realm of intellectual property. A historic Anthropic settlement , valued at an astounding $1.5 billion, has captured headlines, promising a payout to nearly half a million writers. This landmark agreement, emerging from a class action lawsuit against AI giant Anthropic, initially appears to be a monumental victory for creators. However, a deeper dive reveals a more complex narrative, raising critical questions about the true state of writers’ rights in the age of advanced artificial intelligence. Understanding the Anthropic Settlement: A Closer Look at the $1.5 Billion Payout The headline figure of $1.5 billion is undeniably staggering, marking the largest payout in the history of U.S. copyright law. This settlement stems from a lawsuit, Bartz v. Anthropic , where a collective of authors accused Anthropic, the company behind the Claude AI chatbot, of copyright infringement. The core of the accusation wasn’t just that Anthropic’s large language models (LLMs) were trained on their works, but specifically that the company illegally downloaded millions of books from “shadow libraries” — unauthorized online repositories — to feed its AI systems. Here’s a breakdown of the key aspects of this unprecedented settlement: Historic Sum: $1.5 billion, the largest copyright settlement ever in the U.S. Beneficiaries: Around half a million writers are eligible for a minimum payday of $3,000 each. The Accusation: Anthropic was sued for pirating books from “shadow libraries” to train its AI. The Outcome: The settlement resolves the plaintiffs’ “legacy claims,” avoiding a trial focused on the piracy aspect. While a significant sum, many argue this isn’t a true win for authors against AI training itself. Instead, it’s seen as a costly “slap on the wrist” for Anthropic for its illegal acquisition methods, rather than a definitive ruling on the legality of using copyrighted material for LLM training when legally obtained. The Complex Landscape of AI Copyright and Fair Use The distinction between illegal acquisition and the act of training AI on copyrighted material is central to this debate. In a separate, crucial ruling in June, federal judge William Alsup sided with Anthropic, stating that training AI on copyrighted material is indeed legal. The judge’s reasoning hinges on the “fair use doctrine,” a carve-out in U.S. copyright law designed to allow limited use of copyrighted material without permission for purposes such as criticism, comment, news reporting, teaching, scholarship, or research. Judge Alsup’s interpretation of fair use in the context of AI is particularly noteworthy: “Like any reader aspiring to be a writer, Anthropic’s LLMs trained upon works not to race ahead and replicate or supplant them — but to turn a hard corner and create something different,” the judge said. This ruling suggests that AI training is “transformative” enough to fall under fair use. The fair use doctrine, which hasn’t been significantly updated since 1976, is now being applied to technologies that were unimaginable nearly fifty years ago. This interpretation has profound implications for the future of AI copyright , suggesting that as long as the AI’s output is “different” from its training data, the original works might be used without explicit permission or compensation. Consider the stark difference between the two legal points: Legal Aspect Judge Alsup’s Stance Implication for AI Developers Piracy (Illegal Acquisition) Illegal, led to settlement Must acquire training data legally (e.g., license, public domain) AI Training on Copyrighted Material (Legally Acquired) Legal under “fair use” (if “transformative”) Can use copyrighted data for training if the output is sufficiently “transformative” This distinction highlights a critical loophole for tech companies: they must ensure their data acquisition methods are legal, but once acquired, the act of training AI on that data might be protected. This perspective worries many creators who see their work being used to build systems that could eventually replace them. Are Writers’ Rights Truly Protected in the Age of LLMs? The core concern for many writers extends beyond mere piracy. It’s about the fundamental value of their creative output in an ecosystem increasingly dominated by AI. Tech giants like Anthropic, Google, Meta, and OpenAI are in an arms race to amass vast quantities of written material to train their sophisticated LLMs. These AIs, which power products like ChatGPT and Claude, become more capable and nuanced with more data. After effectively scraping the public internet, these companies are constantly seeking new sources of information, leading to contentious practices like those seen with Anthropic’s “shadow library” use. For writers, the implications are dire: Diminished Value: If AI can generate content based on their styles and themes without compensation, the perceived value of human-created work may decrease. Economic Threat: The rise of AI-generated content poses a direct economic threat to professional writers, potentially reducing demand for human authorship. Ethical Dilemma: Is it ethical for AI to “learn” from copyrighted works without permission or payment, even if the output is deemed “transformative”? The settlement, while financially beneficial to some, doesn’t address the fundamental challenge to writers’ rights posed by LLM training . It merely punishes a specific illegal act of data acquisition, leaving the broader question of AI’s use of copyrighted material for training largely unchallenged by this particular case’s resolution. Navigating the Future: Challenges and Actionable Insights for Creators The Bartz v. Anthropic settlement sets a precedent, but its limited scope means the broader legal battle over AI and copyrighted works is far from over. Dozens of similar cases against major AI developers are currently making their way through the courts. Each ruling will contribute to shaping the future legal landscape. The interpretation of fair use AI will continue to be a battleground. Creators and legal experts are advocating for: Updated Copyright Laws: A re-evaluation and modernization of copyright law to specifically address AI training and output. Licensing Frameworks: Development of clear, equitable licensing models for AI companies to compensate creators for the use of their work. Transparency: Greater transparency from AI developers about their training data sources. Advocacy: Continued collective action and advocacy from artist and writer communities to protect their intellectual property and livelihoods. As Aparna Sridhar, Anthropic’s deputy general counsel, stated, “We remain committed to developing safe AI systems that help people and organizations extend their capabilities, advance scientific discovery, and solve complex problems.” While the pursuit of advanced AI is commendable, the method and impact on human creators must be carefully balanced. The ongoing legal battles are not just about money; they are about defining the future of creativity, ownership, and the very essence of human ingenuity in a world increasingly shaped by artificial intelligence. The Anthropic settlement, while historic in its financial scope, serves as a stark reminder of the urgent need for clarity and robust protections for creators in the AI era. It highlights the critical distinction between legal data acquisition and the transformative use of copyrighted material for AI training. As more cases proceed, the legal and ethical frameworks governing AI and intellectual property will continue to evolve, hopefully leading to a more equitable future for human creativity. To learn more about the latest AI market trends, explore our article on key developments shaping AI models features. This post AI Copyright: Anthropic’s Alarming $1.5 Billion Settlement Sparks Debate on Writers’ Rights first appeared on BitcoinWorld and is written by Editorial Team
Coinbase moved 7,625 BTC (about $859 million) into 50 newly created wallets, split into ~150 BTC parcels, indicating a structured institutional transfer and coordinated custody reshuffling rather than retail withdrawals.
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What happens when two of the most followed coins stall while a new one changes the rules? Recent Tron (TRX) analysis shows the network holding firm but facing resistance at $0.34, leaving traders unsure of its next breakout. At the same time, Dogecoin (DOGE) market prediction points to sideways action between $0.21 and $0.23, with upside capped unless a major catalyst appears. Both are stable, but neither is breaking boundaries right now. That’s where BlockDAG flips the script. With miners already shipped to over 130 countries and more than 3 million mobile miners active, it’s proving global scale before a token launch. For anyone eyeing the best long term crypto investments, $0.0013 feels like an unmissable entry point. BlockDAG Sets a New Standard BlockDAG has done what no other Layer-1 has dared to attempt before launch — ship real hardware across the globe. More than 19,600 miners have been sold, and shipments are already scaling to 2,000 units a week. Community members are posting unboxing videos and reviews from over 130 countries, showing that adoption isn’t waiting for listings or promises. This is infrastructure built first, with the presale still live. The numbers back it up. The presale has raised over $397 million with more than 25.8 billion BDAG coins sold. The price is locked at $0.0013 until the Singapore event, where CEX listings and expansion updates will be revealed. Early buyers who entered at $0.001 are already sitting on paper gains close to 2,900%, proof of how quickly BlockDAG has grown. Community size makes the story even stronger. Over 320,000 holders have joined, and the X1 app now counts more than 3 million active mobile miners. Add to this thousands of ASIC miners running worldwide, and you get a network that isn’t waiting for hype to validate it. This kind of reach, before any exchange listing, is exactly why analysts are beginning to place it alongside the best long term crypto investments. BlockDAG isn’t promising execution later; it is showing results now. With its hybrid DAG + PoW architecture, EVM compatibility, CertiK audit, and 4,500+ developers building over 300 dApps, the groundwork is done. At $0.0013, the presale offers entry to a network that is already proving itself as one of the best long term crypto investments of 2025. Tron (TRX) Analysis Update The latest Tron (TRX) analysis shows the coin trading near $0.34, with $0.34 acting as key support and resistance building around $0.3406. Institutional accumulation continues, hinting at a possible push toward $0.42, but momentum remains mixed as RSI and MACD signal caution. On-chain activity is one of the bright spots: Tron recently reported over 329 million accounts and 11 billion transactions. The U.S. Department of Commerce has even chosen the network to publish official GDP data, putting real utility in focus. Ecosystem expansion is also fueling interest. Tron Inc. has increased its TRX treasury to $220 million after adding another $110 million, showing confidence in its long-term direction. Meanwhile, the launch of stablecoin USD1 and integrations like NEAR Intents and deBridge are building DeFi use cases. With adoption in government, finance, and cross-chain swaps, analysts keep Tron in the spotlight. For many, the current Tron (TRX) analysis points to steady fundamentals even as the market waits for a decisive breakout. Dogecoin (DOGE) Market Prediction Update The latest Dogecoin (DOGE) market prediction points to a coin holding steady between $0.21 and $0.22, with resistance sitting around $0.23. Analysts note that a breakout above this level could trigger a sharper move, while a failure may pull DOGE back toward $0.20. Technicals show price action stuck in a descending channel, with EMA levels acting as immediate barriers. Despite this, talk of a potential $175 million DOGE treasury push and renewed ETF speculation have brought fresh attention to the coin’s future. Forecasts for the coming months vary. Short-term outlooks suggest DOGE could reach an average of $0.23–$0.25, while long-term estimates stretch anywhere from $0.42 to $1.50 by 2030. Binance users see a slower climb, while platforms like DigitalCoinPrice and Wallet Investor project stronger gains. As one of the original meme coins, it still commands wide recognition, but analysts caution that new catalysts will be needed to lift it beyond its current range. For now, the Dogecoin (DOGE) market prediction reflects both stability and uncertainty. Why BDAG is the Best Long Term Crypto The latest Tron (TRX) analysis shows the network pushing utility forward with government adoption and treasury expansion, yet price action still struggles to break past $0.34. Meanwhile, the Dogecoin (DOGE) market prediction remains split between a stable range near $0.21–$0.23 and hopes for a rally if fresh catalysts arrive. Both coins keep attention but face limitations in proving immediate large-scale growth. BlockDAG is playing an entirely different game. With miners shipped to over 130 countries and more than 3 million people using the X1 app, it has built global infrastructure before a CEX launch. The presale has already raised $397M with price locked at $0.0013, offering hard proof that execution is happening now. For those considering the best long term crypto investments , BlockDAG looks less like a bet and more like a move toward dominance. Presale: https://purchase.blockdag.network Website: https://blockdag.network Telegram: https://t.me/blockDAGnetworkOfficial Discord: https://discord.gg/Q7BxghMVyu The post Tron Price Struggles at $0.34 and Dogecoin Stalls at $0.22 While BlockDAG’s 3M Miners in 130 Countries Redefine Presales appeared first on TheCoinrise.com .
Ripple CTO David Schwartz has clapped back at a Litecoin influencer who attacked XRP in a post on X. The argument began when Jonny Litecoin, a supporter of the Litecoin network, said XRP was created “out of thin air” without any mining or staking. With both sides trading sharp words online, the debate reignites the long-standing feud between XRP and Litecoin supporters. Ripple CTO Claps Back With Energy Efficiency Argument David Schwartz, the chief technology officer at Ripple, did not stay silent after seeing the comments from Litecoin influencer Jonny Litecoin. Schwartz pointed out that XRP and Litecoin offer similar use cases , but the difference lies in what it takes to create them. He argued that Litecoin requires significantly more energy to produce, as it operates on a proof-of-work system, whereas XRP does not. In making this point, Schwartz presents XRP as one that could increase in popularity and adoption over time because it avoids the high costs and waste associated with energy-intensive proof-of-work methods. In the X post, he says, “Two products are equivalent except that one takes much more energy. Which one do you think is the most likely to grow in popularity over time?” Ripple has long promoted its “green” side, and even co-founder Chris Larsen worked with Greenpeace to campaign against the heavy energy use of proof-of-work systems. Proof-of-work blockchains, such as Bitcoin and Litecoin, face criticism for being wasteful and environmentally damaging . Litecoin Influencer Sparks XRP Feud With Critical Post Jonny Litecoin sets off the debate when he claims Litecoin holds more real-world value than XRP. He dismissed the asset, saying it was created by a company with no mining or staking and written into existence “out of thin air.” According to him, this means XRP lacks actual value, despite its market cap of $169 million. He argues that every Litecoin undergoes fair mining with electricity and computational power. Jonny Litecoin’s comments did not happen in isolation. The official Litecoin X account also jumped into the fight on August 29 with a long, mocking post aimed at XRP and Ripple CEO Brad Garlinghouse. The caustic “fun fact” post compares XRP’s purpose to the smell of comets and mocked the idea of using the token in bank payments . It even went as far as calling Garlinghouse “Brad Garlicmouse,” sparking outrage among XRP supporters. While many XRP supporters pushed back firmly, the Litecoin account refused to back down. Instead, the account frames the entire exchange as part of a community “roast.” This back-and-forth has once again highlighted the deep divide between proof-of-work supporters and the XRP community, with no signs of the feud slowing down.