Done.AI, a publicly listed firm, has announced a strategic expansion by incorporating blockchain infrastructure assessment into its AI-driven financial platform. This move underscores the company’s commitment to enhancing its technological
Ground-Breaking Presale Opportunity Anso Finance’s presale is generating significant interest, offering tokens at a fraction of their potential value. Stage 1 price: $0.00355, with an expected listing price of $0.03. Early investors can earn 10x returns just by participating in the presale. In addition, staking rewards are set to be highly attractive, with early-bird staking bonuses for the first three months, including dynamic APYs reaching up to 50% for committed investors. Anso’s tiered staking program ensures long-term value for those who lock up their tokens. Real-World Utility: Not Just a Speculative Asset Unlike speculative assets, Anso Finance is rooted in real-world applications. The upcoming Anso Card will enable seamless spending of $ANSO tokens for everyday purchases through Apple Pay and Google Pay, offering a real use-case beyond just holding a token. Anso’s ecosystem also includes crypto-backed loans, savings (staking), and asset tokenization, allowing users to invest in real estate and luxury goods by owning tokenized shares of these assets. This Real-World Asset (RWA) integration makes Anso a true utility coin, unlike XRP, which serves primarily as a payment bridge for financial institutions and Solana, which is more focused on high-speed DeFi transactions but lacks a fully integrated, user-focused ecosystem. Anso, on the other hand, allows everyday users to earn rewards, make payments, and invest in real-world assets – all within one ecosystem. Security and Transparency Anso Finance is built with investor protection as a priority. Key security measures include locked liquidity to prevent rug pulls, an immutable smart contract ensuring no changes to tokenomics, and multi-signature governance for fund control. These efforts ensure a transparent, secure platform that builds trust within its community. With open-source code and third-party audits, Anso guarantees that no hidden surprises will undermine its growth. XRP and Solana: Great, but Anso Has a Unique Advantage XRP is a payment-focused network with limited adoption for retail users. While it excels in cross-border payments, it doesn’t provide significant opportunities for everyday use or passive income like Anso does with staking and real-world applications. Solana, although renowned for high throughput and low fees, is mainly focused on the tech infrastructure. Anso, built on Solana, leverages its speed and scalability but adds a user-driven ecosystem designed for real-world financial services payments, staking, and tokenized assets creating a deeper value proposition. Anso also offers significant early-stage growth potential: while XRP and Solana have already reached substantial market caps, Anso remains a micro-cap poised to capture the attention of investors as it develops its platform. Conclusion: A Bullish Outlook for Anso Finance Anso Finance isn’t just another crypto project. It’s a comprehensive financial ecosystem built for real-world utility, security, and long-term growth. With a promising presale, strong staking rewards, and groundbreaking real-world applications such as the Anso Card and RWA integration, Anso is positioned to outperform giants like XRP and Solana in the coming years. Retail investors looking for a utility-driven, secure, and high-growth cryptocurrency should pay attention to Anso Finance as it emerges as a major player in the next crypto bull run. Links & Contacts: Https://ansofinance.com Telegram: @Ansofinance X: Https://x.com/ansofinance Documentation: Docs.ansofinance.com Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Crypto Daily, nor is it intended to be used as legal, tax, investment, or financial advice.
BitcoinWorld Google Gemini Robotics: How On-Device AI Revolutionizes Autonomous Robot Control In the rapidly evolving world of technology, where decentralization meets cutting-edge innovation, the intersection of AI and robotics is creating unprecedented possibilities. While much of the AI conversation revolves around cloud-based models, a quiet revolution is brewing at the edge. Imagine a future where robots operate with unparalleled autonomy, making decisions and executing complex tasks without a constant internet connection. This isn’t science fiction anymore; it’s the groundbreaking reality ushered in by Google DeepMind’s latest advancement: the Google Gemini Robotics On-Device model. For those tracking the pulse of innovation, from blockchain breakthroughs to AI marvels, this development signals a pivotal shift in how we conceive and interact with intelligent machines. The Dawn of Autonomous AI: Google Gemini Robotics Takes Center Stage Google DeepMind, a pioneer in artificial intelligence research, has once again pushed the boundaries with its new Google Gemini Robotics On-Device model. Building upon the foundational Gemini Robotics model released earlier this year, this iteration marks a significant leap forward by enabling AI to run directly on robotic hardware. This local execution capability is a game-changer, removing the dependency on cloud servers and ushering in an era of truly autonomous robotic operations. The implications are vast, impacting everything from industrial automation to personal assistance robots, making them more reliable, responsive, and secure. This innovation highlights Google’s commitment to advancing practical AI applications that can function independently of constant network access. Unleashing Potential: What is Google Gemini Robotics On-Device? So, what exactly makes Google Gemini Robotics On-Device so remarkable? At its core, this new language model empowers robots to perform intricate tasks locally. This means the robot itself processes information and executes commands, significantly reducing latency and enhancing operational reliability, especially in environments with limited or no internet connectivity. Developers can interact with and fine-tune the model using natural language prompts, simplifying the programming process and opening up new avenues for customization. Google’s benchmarks indicate that this On-Device AI model performs at a level comparable to its cloud-based predecessor, a testament to its efficiency and power. Furthermore, it reportedly outperforms other on-device models in general benchmarks, solidifying its position as a frontrunner in the field. This capability allows robots to learn and adapt more quickly, responding to dynamic environments with greater agility and precision. How Does On-Device AI Transform Robot Control? The true power of On-Device AI lies in its ability to fundamentally transform robot control . By integrating the AI model directly onto the robot, decision-making becomes instantaneous. Consider the practical benefits: Reduced Latency: Commands are processed milliseconds faster, crucial for precision tasks and dynamic environments where immediate reactions are vital. Enhanced Privacy and Security: Data processing occurs locally, minimizing the need to send sensitive information to the cloud, which is particularly important for sensitive applications. Offline Capability: Robots can operate reliably in remote locations or during network outages, ensuring continuous productivity and mission completion. Adaptive Learning: The model can be fine-tuned on the fly using natural language, allowing for rapid adaptation to new tasks or environmental changes without extensive reprogramming. Google DeepMind demonstrated these capabilities with robots successfully performing complex actions like unzipping bags and folding clothes. While initially trained for ALOHA robots, the model’s adaptability was showcased by its successful implementation on a bi-arm Franka FR3 robot and Apptronik’s Apollo humanoid robot. The Franka FR3, for instance, tackled novel scenarios and objects, including industrial assembly tasks on a moving belt, proving the model’s robust generalization abilities. This level of autonomous control opens doors for robots to take on increasingly complex and varied roles in our daily lives and industries. Real-World Applications and the Future of AI in Robotics The implications of advanced AI in Robotics are profound, extending far beyond the factory floor. With models like Gemini Robotics On-Device, we are witnessing the dawn of a new era for automated systems. Imagine: Logistics and Warehousing: Robots autonomously managing inventory, sorting packages, and navigating complex warehouse layouts without constant human oversight or internet dependency, leading to unprecedented efficiency. Healthcare: Robotic assistants performing delicate tasks in operating rooms or aiding patients in their homes, with critical data processed securely on-device, enhancing patient care and safety. Disaster Response: Robots deployed in hazardous environments, making real-time decisions to navigate debris, search for survivors, or handle dangerous materials, even in communication-blackout zones, protecting human lives. Personal Robotics: More intelligent and responsive home robots capable of performing a wider range of chores and interactions, adapting to unique household needs and preferences. To further empower developers, Google DeepMind is also releasing a Gemini Robotics SDK. This Software Development Kit allows developers to train robots on new tasks by showing them 50 to 100 demonstrations within the MuJoCo physics simulator. This democratizes robot training, enabling rapid prototyping and deployment of new robotic functionalities across various sectors. The Broader Landscape: DeepMind AI and the Robotics Ecosystem Google’s advancements are part of a larger, exciting trend within the tech industry, highlighting the growing convergence of advanced DeepMind AI and robotics. Several other major players and innovative startups are also making significant strides in this domain: Nvidia: Actively building a platform designed to create foundational models specifically for humanoid robots, emphasizing simulation and real-world transfer learning. Hugging Face: Known for its open-source contributions in natural language processing, Hugging Face is expanding into robotics by developing open models and datasets, and even working on physical robots, fostering a collaborative development environment. RLWRLD (Mirae Asset-backed Korean startup): Focused on creating foundational models for robots, aiming to provide a universal AI layer for various robotic applications, driving standardization and accessibility. This competitive yet collaborative environment is accelerating innovation, pushing the boundaries of what robots can achieve. The drive towards more intelligent, autonomous, and adaptable robots is a shared vision, and Google DeepMind’s Gemini Robotics On-Device is a significant milestone on this journey. As these technologies mature, they promise to redefine industries, enhance human capabilities, and create a future where intelligent machines seamlessly integrate into our lives. The release of Google DeepMind’s Gemini Robotics On-Device model represents a monumental leap forward for AI in robotics. By enabling powerful language models to run locally on robots, Google is not just improving efficiency; it’s fundamentally reshaping the potential for autonomous systems. From enhanced privacy and security to unparalleled reliability in disconnected environments, the benefits are clear. As developers gain access to tools like the Gemini Robotics SDK, we can expect an explosion of innovation in robot capabilities. This groundbreaking development, alongside the efforts of other industry leaders, is propelling us towards a future where intelligent robots are not only more capable but also more accessible and integrated into the fabric of our society. The era of truly smart, self-sufficient robots is here, promising to transform our world in profound and exciting ways. To learn more about the latest AI market trends, explore our article on key developments shaping AI Models features. This post Google Gemini Robotics: How On-Device AI Revolutionizes Autonomous Robot Control first appeared on BitcoinWorld and is written by Editorial Team
XRP’s holder ratio experienced a notable decline from 5% to 2.42% in the first half of 2025, yet it continues to outperform Solana’s 1.76% holder ratio as of May 2025.
Cryptocurrency exchange OKX has announced that it will remove three different perpetual futures contracts from its platform on June 27, 2025, in an effort to provide its users with a safer and more stable trading experience. OKX to Shut Down Perpetual Futures Contracts on Three Crypto Assets on June 27 This decision is based on reasons such as low liquidity and increased market risk. Futures Contracts to be Removed The removal will take place as of 16:00 on June 27, 2025 and will cover the following contracts: SANDUSD Perpetual Futures Contract ALGOUSD Perpetual Futures Contract TONUSD Perpetual Futures Contract During the removal process: All open transactions will be closed automatically by the system. All open orders on the order board will be canceled. Contracts will be delivered using the arithmetic average of OKX index prices in the last hour before closing. If price manipulation is detected during this one-hour period, OKX stated that it may readjust the delivery price to reasonable levels. No additional fees or funding charges will be charged at the time of delivery. Additionally, users with open positions over 10,000 USDT at the time of delivery will not be able to transfer assets between accounts for 30 minutes. This restriction was introduced to ensure that transactions are completed safely. Recommendations and Additional Information for Users OKX warned users with leveraged positions to close positions or reduce leverage in advance. It was stated that risk control should be carried out against such sudden price movements. All historical order and transaction records for the removed contracts will later be available for download via the “Order Center” on the desktop version. OKX stated that it may also change the limit price rules according to market conditions. The company emphasized that it will continue to make continuous improvements in order to provide better service to its users. *This is not investment advice. Continue Reading: Bitcoin Exchange OKX Announces It Will Delist Three Altcoins From Futures! Here Are the Details
Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. It’s 2025, and tokenization is no longer just a speculative bet. For nearly a decade, crypto has chased innovation by asking one question repeatedly: “What should we tokenize next?” From stablecoins to gold, real estate, carbon credits, and even U.S. Treasury bonds, blockchain technology now powers a multi-billion-dollar onchain economy. You might also like: From the margins to the mainstream: The new capital frontier is not what you think it is | Opinion Last year alone, stablecoins processed a staggering $27.6 trillion , surpassing global payment giants like Visa. Tokenized treasuries climbed past $7 billion, driven by institutions such as BlackRock and Franklin Templeton, while tokenized commodities and private credit surged toward billions more. Yet despite these impressive milestones, one glaring problem remains unresolved: Crypto is still far too complicated for most people. The friction problem that’s worth billions Clever founders won’t be asking what to tokenize; they will be searching for solutions that make tokenization accessible. Despite the flood of onchain assets, interacting with them can still feel like driving with no head-up display. This is not ideal for the majority of users, particularly those in emerging markets, who still face barriers to off-ramping funds that crypto promised to dissolve. Banking the unbanked got lost in the excitement surrounding PAX Gold ( PAXG ), Tether ( USDT ), and USDC ( USDC ), not to mention the developments with Bitcoin ( BTC ) and Ethereum ( ETH ) ETFs. Yes, these things are great for developed economies, but it feels like the original philosophies that brought us here have been diluted. We can start making our way back, though. Instead of competing with the heavyweights in a saturated domain, the opportunity is in abstracting access with the original goals of financial independence for all embedded. While not an easy task, there are examples, like Celo’s cREAL in Brazil, featuring mobile-first accessibility, low-cost transactions, and integration with local payment systems. In other words, the biggest opportunity isn’t creating more digital assets. It’s in making existing assets effortlessly accessible. This means intuitive interfaces, seamless user experiences, and frictionless interactions. It’s about making blockchain disappear behind the scenes, just like PayPal did for online payments, or Robinhood did for stock trading. Focus on making the onchain world accessible This invisible finance revolution is already unfolding. Companies like Stripe already simplify stablecoin payments, while Robinhood, Coinbase, and Kraken are actively bringing traditional assets such as stocks, commodities, and soon treasuries onto blockchain platforms. In the same way that “software ate the world,” interfaces are now eating crypto. These moves don’t replace traditional assets but rather enhance their accessibility and integration into the onchain ecosystem. This also pushes compliance into the front-end. Projects like Obligate, which enable regulated onchain bond issuance via web3 wallets, show that user experience and legal frameworks can co-exist. Superstate’s USTB token succeeded by pairing robust legal backing with web3-native functionality. In short, even regulated assets need to feel native to web3. The interface is now the bridge between TradFi-grade compliance and DeFi-grade composability. Why emerging markets might leapfrog the West Interestingly, the most interface-driven innovation might not come from Silicon Valley, but from Lagos, São Paulo, and Jakarta. Emerging markets are rapidly tokenizing sovereign debt, agricultural yields, and localized financial products, not as experiments but as viable alternatives to weak financial infrastructure. The leapfrog effect is real, and the interfaces enabling it are being built quickly, often with a mobile-first approach, a focus on privacy, and a design that is compliant by default. Building the Robinhood of Brazil or the Zapper of Kenya is a better bet than competing with BlackRock. Even U.S. regulators are beginning to understand this shift. The GENIUS Act , a stablecoin bill caught between bipartisan ambition and presidential drama, is a rare attempt to regulate not just the assets but also the rails users interact with: disclosure layers, redemption flows, and custodial practices. Public discourse has focused more on Trump’s memecoin circus than on the real issues it addresses: interface-level risk, systemic access, and how trust is mediated onchain. In Singapore and the UAE, sandboxed environments prioritize user protections through auditable, accessible frontend requirements, not just backend custody policies. In the European Union, while progress is positive, it feels a little slower. Europe is quietly advancing with the MiCA framework, now in force, requiring wallet-level safeguards like KYC and redemption guarantees. France’s AMF has led the way in supervising tokenized securities pilots, while Germany’s eWpG law allows regulated issuance of fully digital securities without paper intermediaries. The next layer of abstraction: Invisible finance That friction is the opportunity. And founders are starting to realize it. Many of the most successful products, from OpenEden’s hybrid gold-treasury tokens to Maple’s Syrup interface for private credit, aren’t issuing new primitives. They’re building tools that let people use them. It’s tempting to chase the next token or replicate a successful treasury wrapper. Tokens and treasuries will continue to grow in importance, but that game is already being won by trillion-dollar incumbents. In practice, assets and access co-evolve. For example, real-world assets need new interfaces, but also new legal, custodian, and liquidity solutions. In other words, RWAs are only as powerful as the tools people have to use them. So the real frontier is not in the asset, it’s in the access. Great interfaces where crypto becomes invisible are what will onboard the next billion. Gold tokens you can spend at checkout. Credit vaults that are built into DAO dashboards. Tokenized IP embedded into AI-driven remix tools. These are all possible today, but most still require jumping through too many hoops. So yes, chasing tokens was yesterday’s game. Interfaces are what will determine trust, liquidity, and adoption. Long live the interface. Read more: Compliance as a catalyst: The key to mass adoption and the future of crypto | Opinion Author: Leon Waidmann Leon Waidmann is the Head of Research at Onchain. Global citizen, avid traveler, and passionate lover of spicy cuisine. Leon holds an MSc in blockchain technology and digital currencies and a BA in politics and administration. With over eight years of experience in the web3 industry, he leads Onchain’s research initiatives, authors insightful whitepapers, and regularly contributes to BTC-ECHO, Germany’s leading crypto media outlet.
COINOTAG News reports on June 25th that former President Trump commented on the evolving geopolitical landscape between Iran and Israel, highlighting the progress of the ceasefire agreement. Trump expressed optimism
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Green Minerals (GEM), a Norwegian deep-sea mining firm, said Wednesday it bought four bitcoin BTC in its first purchase following Monday's announcement of a $1.2 billion treasury strategy as it joins the ranks of companies including the largest cryptocurrency in its broader financial strategy. The company said it paid about 4.25 million Norwegian kroner ($420,000) for the bitcoin, or about $105,000 per token. The Oslo-listed firm, which trades on Euronext Growth, framed the move as part of a transition into a more tech-integrated model. Executive Chairman Ståle Rodahl called bitcoin a hedge against inflation and fiat debasement , citing its “decentralized, non-inflationary properties” as key advantages over traditional reserves, in Monday's statement. The treasury plan adds Green Minerals to a rapidly expanding list of public companies incorporating crypto into their balance sheets. Over 245 companies now hold bitcoin, up 13% in the past month alone, according to data from Bitcointreasuries. Together, they hold more than $88 billion in BTC. The announcement triggered a sharp selloff in the company’s shares, which fell almost 20% on Tuesday. They were recently 2% lower. The company will establish a transparent and secure framework for the acquisition, management, and reporting of bitcoin holdings, such as a bitcoin-per-share indicator that will provide shareholders with “clear insights into the digital asset value attributable to each share.” The “core operational strategy remains steadfast,” the company said “The bitcoin treasury program will support the company’s project plans.”
Oil traders reacted instantly on Monday when Iran fired missiles at a U.S. military base in Qatar, selling off crude instead of pushing prices up. Merely three hours before the strikes, Trump had gone on Truth Social to tell traders to chill out and not to “give in to the enemy” by surging oil prices up. He plainly demanded that prices be brought down immediately. And it looks like Wall Street listened. According to the Financial Times, the first missile launch happened around 5:30pm Doha time. Within seven minutes, Brent crude started falling. After 20 minutes, prices dropped 3%. By 7:30pm, the price had collapsed to $71.48, a 7.2% loss, the steepest one-day drop in almost three years. The timing stunned people watching. Missiles lit up the sky. Civilians scrambled. TV channels went wild. But traders already made up their minds. The U.S., Israel, and Iran weren’t going into full war mode. Jorge Montepeque, an analyst at Onyx Capital Group, texted minutes after the strike, “It is all orchestrated, we know the base is empty. I knew from June 18 that the base was empty. We have watched this movie before.” Traders used open-source clues to stay ahead of the market Since the war between Israel and Iran started, oil traders have been glued to Twitter and open-source intelligence. One executive at a major trading firm said, “Everyone is in a similar boat, we are all tracking Twitter feeds, Osint accounts and everything you can to make sense of it.” Analysts pored over satellite pictures of Al Udeid air base in Qatar. The base, home to 10,000 U.S. troops, looked empty days before Iran’s response. That tipped traders off, as this was more symbolic than serious. That’s why traders didn’t buy into a crisis. They knew oil infrastructure wasn’t going to be touched. And Iran, according to Rystad Energy, had actually been pumping out more crude during the fighting because it couldn’t refine enough at home. That meant oil was still moving, no disruption. And when oil flows, panic dies fast. Last week said it all. When Israel hit Iranian gas and fuel sites, prices jumped 5.5%. But once it looked like Tehran wanted peace, the bump vanished. The market had one obsession: whether Iran would attack tankers in the Strait of Hormuz, the 33-kilometer-wide passage that moves Gulf oil to global buyers. Traders hit sell fast, expecting no real oil shortage The pattern’s been obvious for years. Geopolitical drama creates price spikes. But if there’s no real threat, traders sell immediately. One oil exec said, “This is not a situation like Ukraine and Russia where we have to reorient trade flows for a long time. This is a situation where the market is looking to sell any spike.” Montepeque doubled down on that idea, saying, “If you read the market right, you have the position in your favour, you are making money and you want to crystallise the gain and sell.” Even before this conflict, nobody trusted that oil would hold up. The Opec+ cartel raised output. American shale drillers flooded the market. Supply wasn’t a problem. Demand was soft. Helima Croft, a strategist at RBC, said the White House didn’t even tap into the Strategic Petroleum Reserve because they believed “they had other sources of spare barrels in the event there was a serious outage.” When Donald Trump, now back in the White House, helped broker a ceasefire between Iran and Israel, Brent fell another 6.1% on Tuesday, landing just above $67. That’s lower than pre-war levels. There’s another thing dragging prices: derivatives. Before fighting began, oil producers bought put options, you know, contracts that pay out if prices fall. To hedge, dealers started selling futures. As Brent dropped on Monday, those puts got closer to hitting. That triggered even more selling, and is what has brought us to right now, when prices are well below their level from a week before all of this even started. Cryptopolitan Academy: Want to grow your money in 2025? Learn how to do it with DeFi in our upcoming webclass. Save Your Spot