11 Jun 2025, 06:01

Elon Musk declares June 22 as the tentative launch date for Tesla's public Robotaxi service

Elon Musk said Tesla was “tentatively” set to begin providing public robotaxi service in Austin, Texas, on June 22. He added that the date was not set in stone and could change because Tesla was paranoid about safety. Musk indicated on June 11 that he was flying from Los Angeles to Austin, Texas, for the kickoff of the Robotaxi launch, which he previously predicted would occur sometime on June 12. However, he said the current plan was for June 22 and that the first driverless trip from the Tesla factory to a customer’s house would take place on his birthday, June 28. In May, Musk said that Tesla would launch its robotaxi service with around 10 vehicles in the first week before increasing it to 20, 30, or 40, and eventually thousands within a few months. He also plans to expand the robotaxi service to other cities, like San Francisco and San Antonio, although he has not provided a detailed timeline. However, the tech billionaire pointed out that the streets will change rapidly, and autonomous cars will be standard worldwide in two to three years. Musk says robotaxis will initially be ‘geo-fenced’ and remotely monitored BREAKING: First ever Tesla Model Y robotaxi with no-one in the drivers seat spotted testing on public roads in Austin, Texas! Tesla's new "Robotaxi" wordmark/logo is on the side of the vehicle. https://t.co/IhEzPx5PIb pic.twitter.com/zq4ZmiMqDg — Sawyer Merritt (@SawyerMerritt) June 10, 2025 Musk said Tesla would “geofence” the service, limiting where the Model Y robotaxis could initially operate, and that employees would remotely monitor the fleet. He recently disclosed that Tesla will start with a very small rollout of robotaxis that will be fitted with a new “unsupervised” version of the company’s FSD or “Full Self-Driving” technology installed. The tests will involve the Model Y, not the futuristic-looking CyberCab that Tesla plans to produce next year. He shared a video showing that Tesla was testing driverless vehicles on the roads of Austin without a human safety supervisor behind the wheel. The eight-second clip showed the latest version of the Model Y SUV, painted black with a white/gold “Robotaxi” graffiti-style logo painted on it, navigating an intersection and pausing to allow pedestrians to pass over a crosswalk. “We are being super paranoid about safety.” – Elon Musk , CEO of Tesla The company has been testing self-driving Model Y SUVs that will be used in the initial phase of the operation. Model Ys with manufacturer plates and a person behind the wheel have been spotted driving around parts of Austin, including South Congress. However, it is unclear who will be the first users of the Robotaxi service, what app will be used, or how much rides will cost. Tesla gears up to compete against Waymo in Austin Musk suggested that Austin was a better city than Los Angeles to start its robotaxi service, although he did not specify why Austin was preferable. However, Texas generally has fewer regulations around autonomous vehicles and is far less dense than Los Angeles, with about a quarter of the population of the southern California city. Austin has become a sort of battleground for robotaxis, with Waymo offering autonomous rides through the Uber platform since March. Uber CEO Dara Khosrowshahi said during the first-quarter earnings call in May that a fleet of about 100 Waymo robotaxis was busier than over 99% of all drivers in Austin in terms of complete daily trips. The California Public Utilities Commission data revealed that Waymo provided more than 5 million rides in three years. Waymo also increased the number of paid rides from about 12K in August 2023 to over 708K in March 2025. Musk said that the ramp-up for Tesla’s robotaxi service will be quick, adding that there will “probably” be 1,000 robotaxis within a few months. He also predicted that more than one million self-driving Teslas could be in the U.S. by the end of 2026. However, Morningstar analyst Seth Goldstein previously said Musk’s 2026 guidance was “a bit optimistic,” pointing out that the billionaire investor often missed his own deadlines. Goldstein believed that Tesla would “get there” eventually but stressed that their FSD software would likely take more iterations than the Tesla team anticipated once they started testing the real robotaxi service. Cryptopolitan Academy: Want to grow your money in 2025? Learn how to do it with DeFi in our upcoming webclass. Save Your Spot

11 Jun 2025, 06:00

OpenAI o3-pro: Unleashing Powerful AI Reasoning for ChatGPT Pro

BitcoinWorld OpenAI o3-pro: Unleashing Powerful AI Reasoning for ChatGPT Pro For anyone following the rapid advancements in artificial intelligence, especially those interested in how these developments impact the tech landscape and potentially intersect with areas like cryptocurrency and decentralized systems, a significant update has just arrived. OpenAI, a leader in AI research, has unveiled its latest creation: OpenAI o3-pro . This new model is positioned as a major leap forward in AI reasoning capabilities. What Makes OpenAI o3-pro a Breakthrough AI Reasoning Model? Unlike earlier generations of AI that often relied on pattern matching or simple data retrieval, the AI reasoning model architecture employed by o3-pro is designed to tackle problems more like a human might – step by step. This methodical approach allows the model to perform more reliably and accurately, particularly in complex fields. OpenAI highlights its strength in areas such as physics, mathematics, and coding, where precise, logical steps are crucial for finding correct solutions. O3-pro builds upon the foundation of the o3 model launched earlier this year, representing a ‘souped-up’ version with enhanced performance and features. OpenAI states that this makes o3-pro their most capable model released to date. Accessing the Power of OpenAI o3-pro Access to this advanced OpenAI model is rolling out in stages. Starting this week, ChatGPT Pro and Team users gained access, with o3-pro replacing the previous o1-pro model in the model picker. Enterprise and Edu users are slated to receive access the following week. Developers can also begin integrating o3-pro into their applications, as the model is now live in OpenAI’s developer API. For developers using the API, understanding the pricing is key. OpenAI o3-pro is priced based on token usage: Input tokens: $20 per million tokens Output tokens: $80 per million tokens A token is essentially a piece of a word, and OpenAI estimates that a million input tokens is roughly equivalent to 750,000 words. This tiered pricing structure means the cost will vary significantly depending on the complexity and length of the prompts and responses. How Does o3-pro Stack Up? Examining AI Capabilities and Benchmarks OpenAI claims that o3-pro demonstrates superior AI capabilities compared to its predecessors and even key competitors. According to internal testing, o3-pro achieves impressive scores on popular AI benchmarks. For instance, on the AIME 2024 benchmark, which specifically tests mathematical skills, o3-pro reportedly outperformed Google’s top model, Gemini 2.5 Pro. It also beat Anthropic’s recently released Claude 4 Opus on the GPQA Diamond test, a benchmark designed to assess PhD-level scientific knowledge. Beyond benchmarks, OpenAI emphasizes positive feedback from expert evaluators. Reviewers consistently preferred o3-pro over the base o3 model across various categories, particularly highlighting its strength in: Science and Education Programming Business applications Writing assistance Reviewers also rated o3-pro higher for clarity, comprehensiveness, instruction-following, and accuracy. Enhanced Features and Current Limitations A significant upgrade in o3-pro is its access to a suite of tools. This allows the model to perform actions beyond just generating text, including: Searching the web for up-to-date information Analyzing files provided by the user Reasoning about visual inputs Using Python for calculations or code execution Leveraging memory to personalize responses However, it’s important to note that o3-pro is not without its initial limitations. OpenAI has stated that temporary chats with the model in ChatGPT are currently disabled due to a technical issue they are working to resolve. Additionally, o3-pro cannot generate images, and it does not yet support Canvas, OpenAI’s AI-powered workspace feature. Another point noted by OpenAI is that while o3-pro’s responses are more robust, they typically take longer to generate compared to the older o1-pro model. Conclusion: A Step Forward in AI Reasoning The release of OpenAI o3-pro marks an important step in the evolution of AI, particularly in the domain of reasoning models. By focusing on step-by-step problem-solving, OpenAI aims to make AI more reliable and capable for complex tasks. While there are initial limitations and a longer response time, the reported improvements in benchmarks and expert evaluations suggest that o3-pro could significantly enhance the capabilities available to ChatGPT Pro users and developers, pushing the boundaries of what AI can achieve in technical and creative fields. To learn more about the latest AI model trends, explore our articles on key developments shaping AI capabilities. This post OpenAI o3-pro: Unleashing Powerful AI Reasoning for ChatGPT Pro first appeared on BitcoinWorld and is written by Editorial Team

11 Jun 2025, 05:50

Tether WDKv2 Unveiled: Empowering Self-Custodial Wallet Development

BitcoinWorld Tether WDKv2 Unveiled: Empowering Self-Custodial Wallet Development In the rapidly evolving world of cryptocurrency, maintaining true control over your digital assets is paramount. This is where self-custodial wallet development plays a critical role, empowering users to hold their own keys and interact directly with blockchain networks. Recognizing the growing need for robust and accessible tools in this space, Tether, the company behind the world’s largest stablecoin, has announced a significant step forward: the upcoming release of WDKv2. This isn’t just another update; it’s positioned as a game-changer for building the next generation of unstoppable digital wallets. What is Tether WDKv2 and Why Does it Matter? The announcement came directly from Paolo Ardoino Tether CEO, via a post on X (formerly Twitter). He revealed that WDKv2 is an enhanced version of their open-source Wallet Development Kit (WDK). At its core, a WDK is a set of tools, libraries, and documentation designed to simplify the process of creating cryptocurrency wallets. Why is this development from Tether noteworthy? While Tether is primarily known for USDT, its involvement in providing core infrastructure tools like a crypto wallet kit signals a broader strategic vision. It aims to contribute to the fundamental layers of the decentralized ecosystem, specifically by lowering the barrier to entry for developers building self-custodial solutions. The importance of self-custody cannot be overstated. Unlike centralized exchanges or custodial services where a third party holds your private keys, a self-custodial wallet gives you complete control. This aligns with the core ethos of blockchain and decentralization, putting financial sovereignty back in the hands of the individual. Exploring the Key Features of Tether WDKv2 Paolo Ardoino highlighted several key characteristics that set Tether WDKv2 apart. These features are designed to address some of the common challenges and limitations faced by developers building self-custodial wallets today. Fully Unstoppable: This feature suggests a design that is resistant to censorship or interference from external parties. In a truly decentralized system, a wallet should function regardless of network conditions or attempts to block access. This likely involves resilient network connectivity and transaction broadcasting mechanisms. Configurable: Developers need flexibility. A configurable kit allows builders to tailor the wallet’s features, user interface, and underlying blockchain interactions to specific use cases or user preferences. This moves beyond a one-size-fits-all approach. Uses P2P Swarms for Syncing and Broadcasting: This is a crucial technical detail. Relying on peer-to-peer (P2P) networks for syncing blockchain data and broadcasting transactions means the wallet doesn’t solely depend on centralized nodes or services. P2P swarms enhance resilience, privacy, and decentralization. This is a significant step towards truly decentralized infrastructure for wallets. These features collectively aim to provide developers with the building blocks for creating wallets that are not only secure and user-friendly but also robust against external pressures and highly adaptable. Who is Already Building with This Architecture? Early adoption is a strong indicator of a technology’s potential. According to the announcement, Rumble Wallet is already reportedly building on this new WDKv2 architecture. While details about Rumble Wallet are still emerging, its early adoption suggests that the kit is already functional and proving valuable to developers focused on self-custodial wallet development . This example provides a tangible case study for other developers considering using the crypto wallet kit . It demonstrates that the architecture is being put into practice to create real-world wallet solutions. What Support and Resources Will Be Available? A development kit is only as useful as the resources supporting it. Recognizing this, the WDKv2 release will include: Comprehensive Documentation: Essential for developers to understand how to use the kit effectively, including APIs, libraries, and best practices. Dedicated Support: Access to help and guidance from the Tether team or community contributors to resolve issues and navigate the development process. Example Implementations: Code examples and templates that developers can use as a starting point, accelerating the development cycle and demonstrating practical use cases for the kit’s features. These resources are vital for fostering adoption and building a community around the open-source crypto project. They lower the barrier for developers who might be new to building self-custodial solutions or working with P2P architectures. Why is Open-Source Important for Crypto Wallet Kits? The decision to make WDKv2 open-source crypto is highly significant, especially for tools related to financial sovereignty. Here’s why: Transparency and Security: Open-source code can be reviewed by anyone. This allows the community to audit the code for vulnerabilities, bugs, or malicious intent, increasing trust and security. Collaboration and Innovation: Developers globally can contribute to the kit, propose improvements, and build upon existing features, fostering rapid innovation. Avoids Vendor Lock-in: Developers are not tied to a proprietary system. They have the freedom to use, modify, and distribute the code, promoting decentralization within the development ecosystem itself. Community Building: An open-source project encourages the formation of a community around the kit, providing peer support and shared knowledge. For a project focused on enabling self-custodial wallet development , being open-source is almost a necessity to align with the core principles of decentralization and trust through verification rather than blind faith. What Does This Mean for the Future of Self-Custody? Tether’s entry into providing a robust crypto wallet kit like WDKv2 could have several positive ripple effects on the ecosystem: Accelerated Development: By providing a solid foundation, the kit can significantly speed up the time it takes for new teams to build and launch self-custodial wallets. Improved Quality and Security: A well-maintained open-source kit can lead to more secure and reliable wallets being developed across the board, reducing common errors. Greater Accessibility: As it becomes easier to build wallets, we might see more specialized wallets emerge catering to niche needs or specific blockchain networks. Increased Adoption: Ultimately, better and more accessible self-custodial options can encourage more users to take control of their private keys, reducing reliance on centralized entities. This move by Paolo Ardoino Tether and his team underscores a commitment to building foundational infrastructure for the decentralized web, extending beyond Tether’s primary stablecoin function. Potential Challenges and Considerations While the announcement is exciting, it’s important to consider potential challenges: Adoption Rate: Will developers readily adopt WDKv2 over existing libraries or building from scratch? The quality of documentation and support will be key. Maintenance and Updates: As an open-source project, its long-term success depends on consistent maintenance and updates from Tether and the community. Security Audits: Despite being open-source, thorough, independent security audits will be crucial for developers and users to trust wallets built with the kit. Competition: Other projects and companies also offer tools and libraries for wallet development. WDKv2 will need to demonstrate clear advantages. Navigating these challenges will be essential for WDKv2 to achieve its full potential in fostering widespread self-custodial wallet development . Conclusion: A Powerful Step for Decentralization The unveiling of Tether WDKv2 by Paolo Ardoino Tether is a significant development for the cryptocurrency ecosystem. By providing an open-source crypto crypto wallet kit focused on enabling robust, unstoppable, and configurable self-custodial wallet development using decentralized P2P swarms, Tether is contributing vital infrastructure. This initiative has the potential to accelerate the creation of more secure, resilient, and user-controlled wallets, moving the industry closer to the core ideals of decentralization and financial sovereignty. With comprehensive documentation, support, and examples planned, WDKv2 is poised to become a valuable resource for developers looking to build the future of digital asset management. To learn more about the latest crypto market trends, explore our article on key developments shaping blockchain development institutional adoption. This post Tether WDKv2 Unveiled: Empowering Self-Custodial Wallet Development first appeared on BitcoinWorld and is written by Editorial Team

11 Jun 2025, 05:40

Bitcoin Security: Why Michael Saylor Says Quantum Threat is Overblown

BitcoinWorld Bitcoin Security: Why Michael Saylor Says Quantum Threat is Overblown The future of technology holds incredible promise, but also potential challenges. One such challenge often discussed in the realm of digital security is the rise of quantum computing. For holders and enthusiasts of the world’s leading cryptocurrency, Bitcoin , questions occasionally surface about whether this powerful new form of computation could one day break its formidable defenses. However, according to prominent figure Michael Saylor, the executive chairman of MicroStrategy, these fears surrounding the Quantum Computing Threat to Bitcoin are significantly overstated. Michael Saylor Bitcoin Stance: Downplaying Quantum Fears Michael Saylor, a well-known advocate for Bitcoin and head of a company that holds substantial amounts of the digital asset, recently weighed in on the debate. In an interview with Bloomberg, Saylor expressed a clear perspective: the threat posed by quantum computing to Bitcoin’s core security is not the immediate or paramount concern many might imagine. He characterized the fears as “overblown” and something the cryptocurrency industry can effectively manage should it ever materialize into a tangible risk. This isn’t to say quantum computing isn’t powerful, but rather that its application as a direct threat to Bitcoin’s fundamental cryptography isn’t as straightforward or imminent as some portray. Saylor’s view suggests that while quantum computing represents a significant technological leap, its potential impact on Bitcoin Security is often misunderstood or exaggerated in public discourse. Why Saylor Believes Others Are More Vulnerable One key point Saylor made is that if quantum computing were to become a threat capable of breaking current encryption methods, the targets far more likely to be attacked first would be traditional institutions and critical infrastructure, not necessarily Bitcoin’s decentralized network. He specifically mentioned: Banks and financial institutions Large technology firms Government systems and databases These centralized entities often hold vast amounts of sensitive data and control critical services, making them potentially higher-priority targets for anyone wielding advanced computing power. Bitcoin’s decentralized nature and the specific way its cryptography is used in transactions offer certain protective layers that might make it a less attractive initial target compared to centralized honey pots of data. The Real Threat Today: Phishing and User Error In a dose of practical reality, Saylor highlighted what he sees as the much greater, present-day risk for individual Bitcoin users: phishing attacks. While futuristic quantum threats capture headlines, malicious actors are actively exploiting simpler vulnerabilities right now. Phishing involves tricking users into revealing their private keys, seed phrases, or login credentials through fake websites, emails, or messages. This type of social engineering doesn’t require breaking complex cryptography; it preys on human error and lack of awareness. Saylor’s emphasis on phishing serves as a crucial reminder that while we debate theoretical future threats, the most common ways people lose their Bitcoin today are through preventable security lapses directly related to how they handle their private information and wallet access. This is a significant aspect of personal Crypto Security that often gets overshadowed by more technical discussions. Understanding the Quantum Computing Threat to Bitcoin To appreciate Saylor’s perspective, it helps to understand what the potential quantum threat actually entails. Bitcoin relies on sophisticated cryptography for its security, primarily: SHA-256: Used for mining and generating addresses. Considered highly resistant, even to quantum attacks. ECDSA (Elliptic Curve Digital Signature Algorithm): Used for creating digital signatures to authorize transactions. This is the part potentially vulnerable to a sufficiently powerful quantum computer running Shor’s algorithm, which could theoretically derive a private key from a public key. The primary concern is related to the ECDSA signatures. When you send Bitcoin, you use your private key to create a signature that proves you own the funds. This signature, along with your public key (derived from your private key), is broadcast to the network. Currently, deriving the private key from the public key is computationally infeasible. A powerful enough quantum computer, however, could potentially make this feasible, allowing an attacker to steal funds from an address whose public key has been revealed (i.e., an address that has sent a transaction). It’s important to note that addresses that have received funds but never sent any transactions (and thus haven’t revealed their public key) are considered much safer from this specific quantum threat. Is Bitcoin Security Quantum-Proof? Not Yet, But Adaptable Saylor’s confidence stems from the belief that the blockchain industry is not static. According to reports like the one from Decrypt referencing his comments, Saylor is confident the industry can and will adapt if the quantum threat escalates from theoretical to practical. This adaptability could involve: Transitioning to Post-Quantum Cryptography (PQC): Researchers are actively developing new cryptographic algorithms designed to be resistant to quantum computer attacks. Bitcoin’s protocol can be upgraded through soft or hard forks to incorporate these new algorithms. Changing Address Types: Encouraging or defaulting to address types (like SegWit or Taproot) that reveal the public key only when spending, minimizing the exposure window. Future upgrades could potentially use PQC for generating addresses and keys from the outset. Community Consensus: Bitcoin’s decentralized nature means any significant protocol change requires broad consensus, which can be slow but ensures robustness and careful consideration of new threats and solutions. While Bitcoin’s current cryptography isn’t explicitly ‘quantum-proof’ in all aspects (specifically ECDSA after public key exposure), the ability of the open-source development community to identify threats and implement upgrades provides a path forward. Saylor’s point is that there is ample time and capability within the ecosystem to address this long before it becomes a catastrophic problem. Comparing Risks: Quantum vs. Phishing vs. Other Threats Let’s put the risks into perspective, as highlighted by Saylor: Threat Type Likelihood Today Potential Impact Primary Target Mitigation Quantum Computing Attack (on ECDSA) Very Low (requires massive, currently non-existent quantum computer) High (potential to steal funds from exposed public keys) Bitcoin addresses with exposed public keys; potentially other crypto/traditional systems first Future protocol upgrades (PQC), using newer address types, holding funds on unspent addresses Phishing/Social Engineering High (daily occurrence) High (direct loss of user funds) Individual users User education, hardware wallets, strong passwords, 2FA, verifying URLs Exchange Hacks Moderate (less frequent than phishing, but impactful) High (loss of funds held on exchange) Centralized exchanges Holding keys yourself (cold storage), using reputable exchanges, enabling exchange security features This comparison underscores Saylor’s point: while the Quantum Computing Threat is a fascinating long-term theoretical challenge, the immediate, practical threats like phishing pose a far greater risk to the average user’s Crypto Security today. Actionable Insights for Bitcoin Holders Given Saylor’s perspective and the current landscape, what should Bitcoin holders focus on? Prioritize Present Security: Spend time learning about and implementing strong personal security practices against phishing, malware, and social engineering. Use hardware wallets for storing significant amounts of Bitcoin. Educate Yourself: Understand how Bitcoin transactions work and the difference between public and private keys. Be wary of unsolicited messages or requests for your seed phrase. Stay Informed on Protocol Developments: While not an immediate concern, keep an eye on discussions within the Bitcoin development community regarding post-quantum cryptography and potential future upgrades. Don’t Panic About Quantum: The quantum threat is a known challenge being researched. It’s not a sudden, unavoidable doom hanging over Bitcoin. The time scales for quantum computers capable of breaking Bitcoin’s ECDSA are still uncertain, providing a window for the protocol to evolve. Focusing on the fundamentals of securing your private keys and being vigilant against social attacks is the most impactful way to protect your Bitcoin Security right now. Conclusion: Bitcoin’s Resilience vs. Real-World Risks Michael Saylor’s comments offer a reassuring perspective on a complex, futuristic threat. By calling the quantum computing risk to Bitcoin “overblown,” he correctly redirects attention to the more pressing, everyday security challenges faced by users, such as phishing. His confidence in the industry’s ability to adapt underscores the dynamic nature of the Bitcoin protocol and its underlying technology. While quantum computing is a powerful emerging field that warrants monitoring, it is not an immediate existential threat to Bitcoin. The network’s decentralized design, combined with the ongoing work of developers and the potential for future cryptographic upgrades, provides a strong foundation for long-term resilience. For now, the most effective way to maintain Crypto Security is through user education, vigilance, and robust personal security practices against the very real and present dangers that exist today. To learn more about the latest Bitcoin trends, explore our article on key developments shaping Bitcoin institutional adoption . This post Bitcoin Security: Why Michael Saylor Says Quantum Threat is Overblown first appeared on BitcoinWorld and is written by Editorial Team

11 Jun 2025, 05:10

Franklin Templeton Benji Platform Unlocks Astonishing Real Time Yield Crypto on Tokenized Assets

BitcoinWorld Franklin Templeton Benji Platform Unlocks Astonishing Real Time Yield Crypto on Tokenized Assets In a significant move signaling the convergence of traditional finance and decentralized technology, global asset management giant Franklin Templeton has rolled out an innovative feature on its Benji platform. This development is poised to redefine how investors perceive and earn from digital holdings by introducing Real Time Yield Crypto on tokenized assets, calculated down to the second. This isn’t just an incremental update; it’s a fundamental shift towards greater efficiency and transparency in earning potential within the digital asset space, initially leveraging the power of the Stellar Network XLM . What is the Franklin Templeton Benji Platform and Real Time Yield Crypto? The Franklin Templeton Benji platform represents the firm’s foray into the digital asset realm, specifically focusing on tokenized securities. Tokenization involves representing real-world assets, like bonds or stocks, as digital tokens on a blockchain. The Benji platform aims to provide investors with access to these tokenized versions, combining the stability of traditional assets with the technological advantages of blockchain. The newly launched “intraday yield” feature is a core component of the Real Time Yield Crypto offering. Traditionally, yield on investments like bonds is calculated and distributed periodically (e.g., monthly, quarterly). This new feature on Benji allows the yield to be calculated and accrued continuously, second by second. This means investors can see their earnings accumulate in near real-time, providing unprecedented transparency and potentially enabling more flexible investment strategies. Key aspects of this feature include: Continuous Calculation: Yield is calculated every second the asset is held. Real-Time Visibility: Investors can view their accrued yield as it happens. Enhanced Liquidity: The ability to see yield accrue in real-time can impact decisions around holding periods and liquidity needs. Initial Focus: The feature is initially live for certain tokenized assets on the platform. Why Tokenized Assets are Gaining Traction for Digital Asset Yield Tokenized Assets are not just digital representations; they carry the potential to inherit the benefits of the underlying blockchain technology. This makes them particularly attractive for generating and managing yield. Unlike traditional paper certificates or even purely digital database entries, tokenized assets on a blockchain can offer: Increased Liquidity: Potentially easier to trade and transfer 24/7. Fractional Ownership: Enabling investors to own a portion of high-value assets. Enhanced Transparency: Ownership and transaction history can be immutably recorded on a public or permissioned ledger. Streamlined Processes: Automation of corporate actions, like yield distribution, through smart contracts. The move by Franklin Templeton to integrate Digital Asset Yield calculation at such a granular level highlights the potential for tokenization to improve upon traditional financial mechanisms. By making yield calculation real-time and transparent, it addresses common pain points in traditional finance related to settlement times and opaque earning processes. This innovation on the Benji platform could set a new standard for how yield is managed and experienced in the digital asset ecosystem. The Role of the Stellar Network XLM in Enabling Intraday Yield Franklin Templeton’s choice to initially launch this feature on the Stellar Network XLM is strategic. Stellar is designed for facilitating cross-border payments and asset issuance, focusing on speed, low transaction costs, and reliability. These characteristics are crucial for supporting a feature that requires continuous, low-latency updates like intraday yield calculation. The Stellar network’s infrastructure is well-suited for handling the volume and frequency of transactions or data updates needed to calculate and potentially distribute yield second-by-second. Its focus on regulated assets and enterprise use cases aligns with Franklin Templeton’s position as a major financial institution. The efficiency and cost-effectiveness of transactions on Stellar likely played a significant role in enabling this granular yield feature, which might be prohibitively expensive on other, less efficient blockchains. The announcement also mentioned plans to expand this feature to other supported networks, indicating a multi-chain strategy for the Benji platform. However, the initial rollout on Stellar underscores its current suitability for this specific application of Digital Asset Yield . The Astonishing Benefits of Intraday Real Time Yield Crypto The introduction of Real Time Yield Crypto offers several compelling advantages for investors and the broader market: Improved Transparency: Investors have a clear, constant view of their earnings, removing guesswork and delayed reporting. Enhanced Capital Efficiency: Knowing the exact yield accrued at any given moment allows for more informed decisions about when to buy, sell, or transfer assets, potentially optimizing capital use. Increased Attractiveness of Tokenized Assets: Making the yield process more dynamic and visible can increase the appeal of Tokenized Assets compared to their traditional counterparts or even other static digital assets. Foundation for Complex Strategies: Real-time data is essential for developing and executing sophisticated trading or investment strategies that rely on precise yield information. Bridging TradFi and DeFi: This feature brings a level of transparency and efficiency often associated with decentralized finance (DeFi) into the realm of traditional asset management via tokenization. This granular approach to yield calculation, facilitated by platforms like Franklin Templeton Benji on networks such as the Stellar Network XLM , represents a significant step towards a more dynamic and investor-friendly digital asset ecosystem. Navigating the Challenges and Future Outlook While the concept of Real Time Yield Crypto on Tokenized Assets is groundbreaking, its widespread adoption faces potential challenges: Regulatory Clarity: The regulatory landscape for tokenized securities and digital asset yield products is still evolving in many jurisdictions. Technical Integration: Ensuring seamless integration with various investor interfaces, reporting systems, and potentially other blockchain networks requires robust technical infrastructure. Investor Education: Educating traditional investors about the mechanics and benefits of tokenized assets and real-time yield is crucial for adoption. Market Liquidity: The liquidity of specific tokenized assets on platforms like Benji will be key to realizing the full benefits of real-time yield visibility. Despite these hurdles, the trend towards tokenization and more dynamic yield mechanisms seems irreversible. Franklin Templeton’s move is likely to spur other major financial institutions to explore similar innovations. The expansion of the feature beyond Stellar to other networks will further broaden its reach and impact on the landscape of Digital Asset Yield . In Summary: A New Era for Digital Asset Yield Franklin Templeton’s introduction of real-time, second-by-second yield calculation on its Franklin Templeton Benji platform for Tokenized Assets is a landmark development. By leveraging the efficiency of networks like the Stellar Network XLM , they are offering investors unprecedented transparency and control over their Digital Asset Yield . This move signifies the growing maturity of the tokenization space and highlights the potential for blockchain technology to fundamentally improve traditional financial products. As this feature expands to other networks, it will likely accelerate the adoption of tokenized securities and set a new standard for yield distribution in the digital age, making Real Time Yield Crypto a tangible reality for more investors. To learn more about the latest DeFi and Tokenization trends, explore our articles on key developments shaping institutional adoption in the digital asset space. This post Franklin Templeton Benji Platform Unlocks Astonishing Real Time Yield Crypto on Tokenized Assets first appeared on BitcoinWorld and is written by Editorial Team

11 Jun 2025, 04:48

Apple announced updates to its AI model

Apple announced yesterday at the WWDC 2025 upcoming updates on its AI model to feature across the intelligence suite. The model underperformed on its benchmark compared to old models from rival firms such as OpenAI.However, the tech giant argued that the On-Device and Apple Server have been improved compared to their predecessors and can understand more than 15 languages. According to human testers, the newest on-device model that runs locally on iPhones and other devices performed similarly to old models from Google and Alibaba regarding text generation. Human testers rated Apple Server, designed to run in the company’s data centers, behind OpenAI’s year-old GPT-4o. In a separate evaluation, they favored Meta’s Llama 4 over Apple Server in the ability to analyze images. The ratings surprised Apple since Llama 4 Scout performed poorly compared to AI labs like Google, Anthropic, and OpenAI. Developers feel skeptical about Apple’s promise of innovation Developers feel negatively towards these years’ WWDC releases, including Apple’s small On-Device AI model. Atul Kakkar, chief product officer of AI-powered personal finance app Origi, revealed that as a developer, he did not feel the intensity of excitement around what Tim Cook’s company released. He believes the annual WWDC event was once tech’s buzziest affair, but now it’s surrounded by skepticism that the iPhone maker can keep pace with AI giants. Apple doesn't report benchmarks for their AIs, reporting on an ill-documented head-to-head evaluation But even by their standards, Apple's latest on device models are mostly worse than the open Gemma 3-4B from Google or Qwen 3-4B And their server LLM is similar to Llama 4 Scout pic.twitter.com/hwpOG5Lgyp — Ethan Mollick (@emollick) June 10, 2025 The tech giant is under pressure to keep up by continually updating its AI tools for developers and building a thrilling consumer experience within the Apple Intelligence suite. Grant McDonald, chief executive and co-founder of the AI-powered parenting advice app Bobo, said that Tim Cook’s company is doing interesting things but is not enough to break through the noise. McDonald believes that letting developers build AI-powered applications with its On-Device small AI models could be the value the company hopes to deliver. Small AI models are trained on small datasets and use less computing power, meaning they can be run on an iPhone rather than large servers in the cloud. He said running models on a device is practically cheaper than cloud-based ones, such as GPT and Gemini. Developers have doubted that On-Device models can perform well compared to cloud-based ones. One developer said they won’t be able to fine-tune them on a proprietary dataset. McDonald said the on-device models will be good enough for some apps but not for Bobo. The parenting app customized its AI model with proprietary data from sleep consultants, lactation consultants, speech pathologists, and other parenting experts. Apple’s AI research division struggles to catch up with competitors The tech giant promised a Siri upgrade to feature more personalized content, but this upgrade has been delayed. Some customers have sued the company for marketing products that have not yet been delivered. Researchers said that while AI models perform very well in math and science, complex problems provide just the illusion of thinking. The tech giant delayed developing large language models and implementing AI in its devices to stay out of the conversation. At WWDC , the company unveiled Apple Intelligence for AI features, which the community considered underwhelming. Researchers have figured out that LRMs start to fail after a certain point. It shows that all reasoning models exhibit a similar pattern in which accuracy progressively declines as problem complexity increases until zero accuracy. According to Researchers, Reasoning models initially apply more thinking tokens, but as complexity increases, they give up, and counterintuitively, their reasoning effort begins to reduce despite increasing problem difficulty. According to Dipanjan Chatterjee, a Forrester Research Analyst, the silence surrounding Siri was deafening. He revealed that no amount of text correction or cute emojis can fill the awaited interactive AI experience that he knows Siri would be capable of. He believes that the end for Siri is near if the firm does not act fast. The company did not provide a precise timetable for Siri’s upgrade. Still, it indicated that it won’t happen until next year at the earliest, according to Craig Federighi, a top software executive in the company. Your crypto news deserves attention - KEY Difference Wire puts you on 250+ top sites