Vault Ventures plc (AQSE: VULT), a UK-based publicly traded firm, has strategically allocated £750,000 towards acquiring Ethereum (ETH) as part of its latest capital deployment initiative. Additionally, the company has
BitcoinWorld Tether CEO’s Bold Vision: 1 Trillion AI Agents to Revolutionize Crypto Settlements Imagine a world where your refrigerator orders groceries, pays for them, and manages its own maintenance schedule – all autonomously, using cryptocurrency. Or perhaps, self-driving cars negotiating fuel prices and settling payments in real-time. This isn’t science fiction anymore; it’s the audacious future envisioned by Tether CEO Paolo Ardoino. During a recent appearance on The Block’s Big Brain podcast, Ardoino made a truly groundbreaking projection: within the next 15 years, one trillion AI agents will be leveraging stablecoins like USDT and decentralized assets like Bitcoin to execute seamless financial transactions and crypto settlements . This isn’t just about AI using crypto; it’s about each of these autonomous entities possessing its own digital wallet, fundamentally reshaping our understanding of finance and automation. Unpacking the Tether CEO’s Vision: A Trillion AI Agents in the Crypto Economy Paolo Ardoino, known for his forward-thinking perspective and leadership at the helm of the world’s largest stablecoin issuer, painted a vivid picture of an AI-driven financial ecosystem. His forecast isn’t merely speculative; it stems from the rapid advancements in artificial intelligence and the growing utility of blockchain technology. The core of his prediction revolves around the sheer scale: one trillion distinct AI entities, each empowered with financial autonomy through its own crypto wallet. Scale of Adoption: One trillion AI agents is an astronomical number, suggesting a pervasive integration of AI into every facet of commerce and daily life. Financial Autonomy: Each AI agent would possess its own crypto wallet, implying direct control over funds for specific tasks, removing intermediaries and human intervention for routine transactions. Core Currencies: The focus on USDT and Bitcoin highlights their established roles. USDT for efficient, stable value transfer in high-volume micro-transactions, and Bitcoin as a robust, decentralized store of value and ultimate settlement layer. Time Horizon: The 15-year timeline suggests a relatively rapid evolution, pushing the boundaries of current technological development and regulatory frameworks. This vision suggests a paradigm shift from humans managing money to intelligent machines executing economic activity on our behalf, or even independently. The implications for efficiency, global trade, and the very nature of work are profound. How Will AI Agents Drive Crypto Settlements? The concept of AI agents conducting crypto settlements is not just about making payments; it’s about automating complex financial interactions that currently require significant human oversight and traditional banking infrastructure. Consider the following potential applications: Micro-transactions and Automated Services AI agents could facilitate ultra-small, high-frequency transactions for services that are currently impractical or too costly to process via traditional means. Think of an AI negotiating real-time energy prices for a smart home, or paying for fractional access to data sets in a decentralized marketplace. USDT, with its stability and low transaction fees, would be ideal for these scenarios. Supply Chain Optimization Imagine AI agents managing every step of a supply chain, from ordering raw materials and paying suppliers upon delivery verification (using smart contracts), to tracking inventory and settling freight costs. This would bring unprecedented transparency and efficiency, with Bitcoin potentially serving as a reserve asset or a final settlement layer for larger, inter-company transactions. Decentralized Autonomous Organizations (DAOs) and AI AI agents could become integral components of DAOs, executing governance decisions, managing treasuries, and even initiating proposals based on predefined parameters. Their crypto wallets would allow them to directly interact with the DAO’s smart contracts and financial resources. Content Creation and Monetization AI agents generating creative content (articles, music, art) could autonomously license their work and receive payments directly into their wallets, managing royalties and distribution without human intermediaries. Here’s a simplified look at how AI agents might interact with crypto: AI Agent Function Crypto Application Primary Crypto Used Smart Home Energy Management Automated utility payments based on real-time usage USDT Supply Chain Logistics Automated payments to suppliers upon delivery verification USDT, Bitcoin Data Marketplace Agent Buying/selling data sets in fractional amounts USDT Autonomous Trading Bot Executing trades and managing portfolio Bitcoin, various altcoins The Pivotal Role of USDT and Bitcoin in AI’s Financial Future Ardoino’s specific mention of USDT and Bitcoin is not arbitrary. These two cryptocurrencies represent fundamental pillars of the digital asset space, each offering distinct advantages crucial for an AI-driven economy. Why USDT for AI Transactions? Tether’s USDT is the largest stablecoin by market capitalization, pegged 1:1 to the US Dollar. Its stability is paramount for AI agents needing to conduct predictable transactions without worrying about price volatility. Furthermore, USDT’s widespread adoption across numerous blockchains (Ethereum, Tron, Solana, etc.) ensures liquidity and accessibility. For micro-transactions, automated payments, and high-frequency trading, USDT offers: Price Stability: Essential for consistent value transfer, allowing AI agents to budget and execute transactions without the risk of sudden asset devaluation. Speed and Efficiency: Transactions on various blockchains are often faster and cheaper than traditional banking rails, enabling real-time settlements. Programmability: As a token on smart contract platforms, USDT can be integrated into complex automated agreements. Why Bitcoin for AI’s Long-Term Value? While USDT handles the day-to-day transactional needs, Bitcoin serves a different, yet equally critical, role. Bitcoin’s decentralized nature, scarcity, and robust security make it a premier store of value. For AI agents, Bitcoin could function as: A Digital Reserve: AI agents or the systems they operate within could hold Bitcoin as a long-term reserve asset, similar to how nations hold gold. Ultimate Settlement Layer: For larger, less frequent, or more critical inter-AI or AI-to-human settlements, Bitcoin’s finality and security provide unparalleled assurance. Censorship Resistance: In a world increasingly reliant on AI, the ability to transact without fear of central control or censorship becomes vital, a core tenet of Bitcoin. The combination of a stable transactional currency (USDT) and a secure, decentralized store of value (Bitcoin) creates a robust financial backbone for an AI-powered future. Navigating the Challenges of an AI-Powered Crypto Landscape While Ardoino’s vision is inspiring, the path to a trillion AI agents with crypto wallets is fraught with significant challenges. Addressing these will be crucial for successful implementation: 1. Scalability: Can Blockchains Handle the Load? A trillion AI agents would generate an unimaginable volume of transactions. Current blockchain technologies, even with advancements like layer-2 solutions, face hurdles in processing such a massive throughput without congestion or exorbitant fees. New scaling solutions, sharding, or entirely new blockchain architectures might be necessary. 2. Security: Protecting AI Wallets from Malice Each AI agent having its own wallet presents a massive attack surface. How will these wallets be secured against hacking, malicious AI takeovers, or sophisticated phishing attempts? The integrity and security of the underlying AI systems and their interaction with blockchain protocols will be paramount. 3. Regulation and Governance: Who is Accountable? The legal and ethical implications of autonomous AI agents conducting financial transactions are immense. Who is liable if an AI agent makes a costly error or engages in illicit activities? Establishing clear regulatory frameworks, accountability models, and international cooperation will be essential to prevent chaos and foster trust. 4. Interoperability: Bridging Diverse AI and Blockchain Systems AI agents will likely operate on different platforms and interact with various blockchains. Ensuring seamless communication and transaction capabilities across these diverse ecosystems will require robust interoperability standards and protocols. 5. Ethical Considerations: Control and Autonomy As AI agents gain more financial autonomy, questions about human control, decision-making biases, and the potential for unintended consequences will become critical. Designing ethical AI and ensuring safeguards against runaway financial autonomy will be a societal imperative. Preparing for the Future: Actionable Insights for the Crypto Community For individuals, developers, and businesses in the cryptocurrency space, Ardoino’s projection isn’t just a fascinating thought experiment; it’s a call to action. The next 15 years could redefine the digital economy, and being prepared is key. For Developers and Innovators: Focus on building highly scalable, secure, and interoperable blockchain solutions. Research into AI-blockchain integration, autonomous agent programming, and novel consensus mechanisms will be invaluable. For Businesses: Begin exploring how AI can automate existing financial processes using crypto. Consider pilot programs for micro-payments, supply chain tracking, or automated data exchange. Understanding stablecoins like USDT and the foundational role of Bitcoin will be critical. For Regulators and Policymakers: Proactive engagement with AI and blockchain experts is essential. Developing adaptive and forward-looking regulatory frameworks that foster innovation while mitigating risks will be crucial. For Crypto Enthusiasts and Investors: Stay informed about the convergence of AI and blockchain. Understanding the underlying technologies and the potential for new use cases will be vital for navigating the evolving market. The convergence of AI and blockchain is not a distant dream but a rapidly approaching reality. Ardoino’s vision highlights the immense potential for efficiency, automation, and global financial inclusion that this synergy can unlock. Paolo Ardoino’s bold prediction of one trillion AI agents settling trades with USDT and Bitcoin within 15 years paints a truly revolutionary picture of our financial future. This vision, while ambitious, underscores the transformative power of decentralized finance and artificial intelligence. The seamless integration of AI autonomy with the immutable and efficient nature of blockchain promises an era of unprecedented automation and efficiency in global commerce. While challenges related to scalability, security, and regulation remain, the potential benefits for efficiency, transparency, and innovation are immense. The journey to an AI-driven crypto economy has just begun, and the insights from the Tether CEO serve as a powerful beacon, guiding us towards a future where intelligent machines are active, autonomous participants in the global financial landscape. To learn more about the latest crypto market trends, explore our article on key developments shaping Bitcoin and AI institutional adoption. This post Tether CEO’s Bold Vision: 1 Trillion AI Agents to Revolutionize Crypto Settlements first appeared on BitcoinWorld and is written by Editorial Team
Bitcoin’s early miners, known as the ‘Satoshi era’ cohort, have exhibited remarkable restraint by selling only a minimal amount of BTC amid 2025’s bullish market surge. This conservative selling behavior
Technology investor and Coatue Management founder Philippe Laffont made remarkable statements on many topics from markets to artificial intelligence, from technology giants to Bitcoin in the Squawk Box program he attended on CNBC. Laffont, the manager of Coatue, which manages approximately $55 billion in assets, has openly expressed his hesitations about Bitcoin for the first time: “I wake up every morning and ask myself: Why don’t I have Bitcoin?” Stating that Bitcoin can now be evaluated “like a company” in terms of market value, Laffont said, “Today, Bitcoin’s market value is $2 trillion. This corresponds to approximately 0.5% of the world’s net wealth. So, could this rate be 1% or 2%? Why not?” He stated that he found some investors’ valuation of Bitcoin at $100 trillion “a bit aggressive,” but he still predicted that the asset could double or triple in the coming years. Related News: As Terra Founder Do Kwon Appears in Court, Terra Classic (LUNC) Receives Major Update Today - Here Are the Details Noting that Bitcoin was two to three times more volatile than Nasdaq in the past, Laffont stated that this volatility has decreased recently and has now become a more stable investment vehicle. “Bitcoin fell as much as Nasdaq in recent fluctuations, not more. This is a very interesting development,” he said. Laffont, who stated that he still has not invested in Bitcoin, left the door open to the possibility of investing by saying, “Being a good investor means sometimes changing your mind. Maybe I made a mistake and it is time to change that decision.” *This is not investment advice. Continue Reading: Billionaire Investor Philippe LaffontMakes Bitcoin Confessions: ‘I Regret It Deeply,’ He Says, Shares Expectations Including Price Prediction
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
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 .
In a market where early access and private deals often dominate, BlockDAG is doing something different. Its presale model is gaining attention not for added features, but for what it avoids. No VC involvement. No pre-mined coins. No discounts for insiders. For many, it’s the closest the industry has come to a fair launch since Bitcoin. This isn’t just a marketing angle. BlockDAG’s setup, including its infrastructure deployment and community-led approach, presents a very different picture from today’s typical Layer-1 launches. At a time when decentralisation is often more of a buzzword, BlockDAG is taking it seriously. Skipping VC Backing for a Community-Centred Launch Many top Layer-1 networks, like Solana, Aptos, and Avalanche, started with large VC support. While this helped them scale, it also created risks like concentrated supply and central control. These early backers often got steep discounts and influence over decision-making. BlockDAG chose a different route. The team confirmed that no VC money has been accepted. Every BDAG purchase has come from the public sale. No private deals, no early pricing advantages, and no hidden stakeholders. This design avoids the usual friction between early buyers and the broader community, giving the network space to grow with less pressure from early sell-offs. A Presale Without Pre-Mining or Insider Holdings Pre-mining has long been debated in crypto. Ethereum created about 72 million ETH in its early days. Solana’s launch heavily favoured early participants. Newer players like zkSync and Starknet have also drawn criticism for favouring insiders. BlockDAG’s approach looks very different. There was no pre-mine. All BDAG in circulation today comes from the public presale, which includes over 23.3 billion BDAG sold and $323 million raised. This equal footing matters. Those buying now are entering on the same terms as everyone else. No one has a secret head start from a two-year-old private sale. That level of openness is rare in today’s crypto market. User Participation & Infrastructure Before Price Action BlockDAG’s design goes beyond fair distribution. Its governance and network rollout reflect a launch model focused on the community. Here’s what that looks like: 2M+ users are already active on the X1 Miner app, using a Proof-of-Engagement system that makes participation simple and device-free. 18,000+ ASIC miners have been sold, spreading mining power across individuals and businesses. Validator nodes and mining pools will be run by the community before trading begins, helping build true decentralisation. There’s no centralised treasury or hidden team allocation. Instead, BlockDAG is leaning into an open network design, where users shape the protocol from day one. Raising Funds Without Giving Up Control Critics often say fair launches slow progress. But BlockDAG shows that strong community support can deliver results. With $323 million raised (halfway to its $600 million goal), it ranks among the top presales in crypto history, and it did this without institutional funding. And that funding is already working. The testnet is active. A low-code dApp builder is live. Developer grants are being distributed. The roadmap is in motion, and the mainnet is set to go live four weeks before listing. This progress proves that community-first projects can still move fast and scale, without compromising their values. A Return to Fundamentals That Could Redefine Launch Standards Bitcoin is still seen as the model for decentralisation, partly because it launched without early allocations or private deals. Many projects since then have chosen speed and capital over fairness. BlockDAG is going back to basics. It’s building a network that processes transactions like Kaspa, supports smart contracts like Ethereum, and decentralises like Bitcoin. And it’s doing this without the early-stage shortcuts most projects rely on. Whether BDAG reaches $1 or $4 as some predict, the bigger story may be the example it sets. In today’s market, where users demand more transparency, fairness isn’t just ethical; it could be a long-term advantage. Presale: https://purchase.blockdag.network Website: https://blockdag.network Telegram: https://t.me/blockDAGnetworkOfficial Discord: https://discord.gg/Q7BxghMVyu The post Here’s How BlockDAG’s Fair Launch Model Revives the Bitcoin Spirit in 2025 appeared first on TheCoinrise.com .
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