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11 Mar 2026, 00:52

Microsoft seeks court action to protect $5B Anthropic investment

Microsoft is asking a US court to block the Pentagon’s decision to temporarily classify the artificial intelligence company Anthropic as a supply-chain risk. The tech behemoth says such a move could disrupt the military’s access to advanced AI systems and risk billions of dollars invested in private companies. Microsoft recently said it would invest up to $5 billion in Anthropic, and the company claims it needs a court order to prevent contracts and technology already in use by the government from suffering immediate damage. Although the United States Department of Defense said it needs to defend its systems and operations, companies building AI tools are warning that abrupt restrictions could undermine partnerships and jeopardize America’s leadership in technology. Microsoft has filed a motion in the United States District Court for the Northern District of California, seeking a judge’s provisional restraining order that would prevent the Pentagon from applying its ban to Anthropic’s technology in all existing defense contracts. In that filing, Microsoft said such an order would provide time to implement a smoother deployment and avoid disruption to the military’s continued use of artificial intelligence tools. Without the restraining order, Microsoft warned that any companies operating on behalf of the Pentagon could be forced to rapidly transition products and contract terms that now depend on Anthropic’s AI models. This shift, the company said, could have ramifications for the Defense Department’s operations. “This may potentially disrupt US warfighters at a crucial moment,” Microsoft said in the filing. Microsoft submitted the request as an amicus brief, so it is not directly involved. However, the court’s ruling would have a potential “material impact” on its business and the overall industry, according to the company. The cost of its financing also influences the company’s participation. Microsoft plans to invest up to $5 billion in Anthropic, one of the fastest-growing artificial intelligence firms in the United States, in November. Microsoft’s a huge investor in OpenAI , a rival developer. Pentagon labels Anthropic a supply-chain risk The controversy erupted last week when the Pentagon formally barred Anthropic’s technology from defense contracts, and it designated the company a supply-chain risk. This label has traditionally been associated with companies tied to foreign adversaries. Such contractors working with the Defense Department under the order must certify that Anthropic’s AI models are not used in systems or services linked to Pentagon work. Anthropic quickly sued the department over its decision, alleging that the designation was both unprecedented and unlawful, and charging the federal government. The company said the ruling could damage its business significantly and threaten contracts worth hundreds of millions. The debate centers around Anthropic’s AI models, called Claude. The company had been negotiating with the Pentagon regarding how the technology would be used, but the talks broke down. Anthropic wanted assurances that its systems would not be used to conduct fully autonomous weapons or for mass domestic surveillance. As the situation unfolds in the US, Anthropic is planning to open a new office in Sydney in the coming weeks as it expands its presence in Australia and New Zealand. According to the company’s Economic Index, the two countries rank fourth and eighth globally in per capita Claude.ai usage. The Sydney office will become Anthropic’s fourth hub in the Asia-Pacific region. Tech workers and AI researchers back Anthropic The controversy has also drawn support for Anthropic from across the artificial intelligence community. More than 30 employees from OpenAI and Google DeepMind filed a statement supporting Anthropic’s lawsuit. Among the signatories was DeepMind’s chief scientist, Jeff Dean. In the court filing, the researchers argued that the government’s designation was an arbitrary use of power that could harm the broader AI industry. They noted that if the Pentagon was dissatisfied with its contract with Anthropic, it could simply have ended the agreement and chosen another provider instead of labeling the company a supply-chain threat. The employees also warned that the move could undermine US competitiveness in artificial intelligence by discouraging open discussion of the technology’s risks and limits. Shortly after the Pentagon announced the designation, the Defense Department signed a deal with OpenAI, a development that some OpenAI employees reportedly protested. The smartest crypto minds already read our newsletter. Want in? Join them .

11 Mar 2026, 00:19

Oracle's stock rallies by 8.7% after earnings beat with +44% revenue of $8.9 billion

Oracle shares climbed hard after the company posted quarterly numbers that beat Wall Street estimates and lifted its fiscal 2027 revenue target. The stock rose as much as 10% in extended trading on Tuesday before trimming some of that jump. By press time, ORCL was still up 8.7%. The market reaction came after the software company reported adjusted earnings per share of $1.79, ahead of the $1.70 expected by analysts tracked by LSEG. Revenue came in at $17.19 billion, above the $16.91 billion consensus. The company also gave new guidance for the fiscal fourth quarter that kept investors focused on its cloud and AI buildout. Oracle said it expects adjusted earnings per share in a range of $1.92 to $1.96 in constant currency, and $1.96 to $2.00 in U.S. dollars. It said total revenue should grow 18% to 20% in constant currency and 19% to 21% in U.S. dollars. For cloud revenue, the company projected growth of 44% to 48% in constant currency and 46% to 50% in U.S. dollars. That is where a lot of the heat in this report sits. Oracle lifts forecasts as cloud demand and AI contracts pile up A major number in the report was remaining performance obligations, or RPO, which ended the quarter at $553 billion. That was up 325% from a year earlier and up $29 billion from the prior quarter. The company said most of that jump in the third quarter came from large AI contracts. It also said it does not expect to raise extra funds to support most of those deals because the equipment is largely covered upfront. In some cases, customers prepay so Oracle can buy the needed GPUs. In other cases, customers buy the GPUs themselves and provide them to Oracle. The company left its fiscal 2026 outlook unchanged. It still expects $67 billion in revenue for that year and $50 billion in capital expenditures. For fiscal 2027, though, it raised total revenue guidance to $90 billion. That upgrade mattered. So did the message behind it. Oracle said demand for cloud capacity used for AI training and inferencing is still running ahead of supply. It also said some of the biggest buyers of AI cloud capacity have improved their financial position, giving the company room to meet and likely beat its fiscal 2027 growth target. There was also a shareholder payout update. The board declared a quarterly cash dividend of $0.50 per share on outstanding common stock. The dividend will go to stockholders of record at the close of business on April 9, 2026, with payment set for April 24, 2026. Oracle funds expansion and rebuilds software teams around AI coding tools Back in February, the company said it planned to raise up to $50 billion through debt and equity financing and said it did not expect to issue any more bonds beyond that amount during calendar year 2026. Within days, Oracle raised $30 billion through a mix of investment-grade bonds and mandatory convertible preferred stock. The company said demand was huge and that the order book was heavily oversubscribed. It also said the at-the-market equity portion of the financing program has not started yet. The company tied a lot of its future plan to changes inside its engineering work.Oracle said AI models used to generate computer code have become efficient enough that it is reorganizing product development teams into smaller and more productive groups.It said the new coding tools let it build more software faster and with fewer people. Oracle also said this is helping it create more SaaS applications across more industries at a lower cost, while making those application suites more competitive and more profitable. Larry Ellison, Oracle’s owner, chief technology officer, and executive chairman, used the earnings call to make that point directly. He said, “Thank God we have these coding tools now that allow us to build a comprehensive set of software, agent-based software, to implement, to automate a complete ecosystem like healthcare or financial services.” Larry added, “That’s what we’re doing at Oracle. That’s why we think we’re a disruptor. That’s why we think the SaaS apocalypse applies to others but not to us.” CEO Mike Sicilia pushed the same line.He said he does not agree with the idea of a Saaspocalypse. Mike said, “I do think that AI tools and their coding capabilities would be a threat if we weren’t adopting them, but we are, and very rapidly.” He added, “We are building brand new SaaS products using AI and also embedding AI agents right into our existing applications suites.” Sicilia also said customers are not telling the company they want to throw out their core systems overnight. Mike said, “I’ve not yet met a customer who tells me they’re ready to give away their retail merchandising system, their core banking system, demand deposit account systems, electronic health record systems, and some cobbling together of niche AI features are going to replace all of that overnight.” He added, “In fact, we hear quite the opposite from the customers.” Claim your free seat in an exclusive crypto trading community - limited to 1,000 members.

10 Mar 2026, 22:00

Crypto Gaming Enters New Era With Pudgy World’s Debut

Pudgy Penguins has launched its long-teased browser-based crypto game, “Pudgy World”. “Creative Freedom Without Compromise” In a post made on the social network X on March 10 , the CCO and Co-Founder of Pudgy Penguins, known as Chefgoyardi, announced the long waited release of “Pudgy World”. In the post, he shared a detailed summary of the designing process of the game. “We created custom world-building tools using open-source web technology, giving us a lightweight editor built for speed and rapid iteration.”, he explained. Self expression, creative freedom and community building seem to be the driving forces behind the game, as the Pudgy’s ethos consists in the creation of an “experience intuitive for everyone, including people who have never picked up a game before”. Chef added: Our asset pipeline lets artists work in Maya, Cinema4D, or Blender while custom Houdini scripts automatically convert everything into a web-optimized format. Creative freedom without compromise. The game is free‑to‑play, runs in the browser with no download, and lets players explore 12 different towns in “The Berg,” complete quests to help a penguin named Pengu find Polly, and join mini‑games as customizable penguin avatars. A “No-Crypto” Crypto Game The first impressions of some players describe the game as “very accessible”, as it was structured to “run directly on PC without needing a separate instalation”. X user Namnin gave a detailed explanation on the gameplay experience, describing it as a cute, very casual game, “easy to play while doing quests with friends or family”. When you start the game, you choose your own penguin. You can do some basic customization, including color, costume, and accessories. You will travel the world with this penguin. The main setting of the game is ‘THE BERG,’ a huge map with an Antarctic island concept. From here, you can travel to various towns. Portal movement is possible. You can complete missions, level up, and obtain items. One early tester on YouTube, Cagy, called Pudgy World ‘a pretty nice world’ and ‘probably one of the best games in crypto right now,’ adding that ‘there’s not much crypto here’ and that it just feels like hanging out and playing simple mini‑games with friends inside a shared world. A Cozy Crypto Game Based on the impressions shared by users, and judging by the pictures and videos they provided, Pudgy World can be safely described as a “cozy multiplayer game”, with kid friendly aesthetics. This means that you can talk about this game entirely without even using the word crypto. This aligns with Pudgy Penguins’ leadership: they have consistently argued that crypto games need to “be games first,” using blockchain as invisible infrastructure to support ownership, interoperability and rewards rather than as the main selling point. A New Era For NFT Games In prior Pudgy games (like mobile party title Pudgy Party), Web3 elements such as wallets and NFTs were deliberately hidden: users auto‑get a wallet, but never see seed phrases, token tickers, or “connect wallet” pop‑ups, and gameplay comes first. Pudgy World even extends the brand’s toy‑to‑digital funnel: physical Pudgy toys come with QR codes that unlock a “Forever Pudgy” character in the online world, bridging Walmart shelves with an on‑chain identity layer. After the blow‑off top of play‑to‑earn, many leading NFT IPs are shifting toward “Web2‑feeling” games where crypto is optional or abstracted away, from mobile party titles to open‑world experiences and competitive skill‑based mini‑games. Pudgy Penguins is part of a broader NFT‑IP push that includes collaborations, mobile games like Pudgy Party, and a growing $PENGU token ecosystem tying toys, games and community together without forcing users through DeFi‑style UX. Cover image from ChatGPT, PENGUPUSD chart from Tradingview

10 Mar 2026, 19:00

Ripple Engineer Reveals Why Codius Project Failed Years Ago

A former Ripple senior engineer, Steven Zeiler, has reignited a long-forgotten discussion in the XRP community by explaining why the once-promising Codius project quietly faded from view years ago. Zeiler argued that the project lacked a token, and without one, it failed to gain traction. His claim drew sharp debate from validators and caught the attention of many community members. Why The Codius Project Failed On March 8, Zeiler, who now serves as a developer evangelist at the Yellow Network , took to X to offer a frank reflection on why Codius, the decentralized computing platform, never gained the traction its creators expected. Zeiler and his team built Codius after leaving Ripple , and looking back, the former senior engineer noted that the project was missing a crucial piece that he believes doomed it from the start. According to Zeiler, the technology behind Codius was solid, and the vision was clear. Still, the project lacked a native token to bootstrap the network or incentivize early adopters, the people who took the risk to deploy the software. He drew a direct comparison to the Ethereum blockchain , arguing that the “genius” of the ETH token gave people a tangible reason to get involved before the network proved itself. Zeiler connected this lesson directly to the launch of the Yellow token, framing native assets as essential for rewarding the risk-takers who deploy software, contribute to code, and build early momentum. He noted that continually enabling self-executing applications that do not rely on third-party brokers increases the value of the underlying network. The former Ripple senior executive concluded his post with a pointed observation that every great technology needs powerful incentives to scale. Community Pushes Back Against Zeiler Vet, a dUNL validator for the XRP Ledger (XRPL) , pushed back against Zeiler’s reasoning, arguing that the decision to create Codius without a native token was entirely intentional from the beginning. He noted that Codius was built to be token-agnostic via the Interledger Protocol, with no Initial Coin Offering (ICO) and no insider advantage, framing the absence of a native asset as a feature rather than a flaw. A community member challenged Vet by pointing out that Codius is still dead regardless of the original intent, suggesting it may have needed an additional component to survive. The same member noted that as XRP surged from fractions of a cent to over $3 , the project’s vision appeared to shift away from a ledger designed for all kinds of value toward one centered on XRP handling everything. In their view, the original vision was the stronger approach. Vet disputed the characterization, maintaining that Codius is not dead. He referenced an Interledger Foundation podcast from two years ago that suggested the former Coil team had been redirected to work on Codius development. Vet also rejected the framing around XRP, insisting it was always purpose-built as a best-in-class settlement layer and there was never any pivot in its intended role. Adding another layer to the story, a community member reminded others that Ripple’s former CTO, Joel Schwartz , had signaled back in 2023 that he was actively working to revive the Codius project, noting that recent technological advances had filled the gaps and addressed the challenges the project once faced. However, Schwartz stepped down as CTO at Ripple in September 2025, and no further updates on a potential Codius revival have emerged from his end.

10 Mar 2026, 18:45

YouTube Deepfake Detection: Critical Shield Expands to Protect Politicians and Journalists

BitcoinWorld YouTube Deepfake Detection: Critical Shield Expands to Protect Politicians and Journalists In a significant move to combat digital misinformation, YouTube announced on Tuesday, June 9, 2025, that it is expanding its pioneering AI deepfake detection technology. The platform is now offering this critical shield to a pilot group of government officials, political candidates, and journalists. This expansion directly addresses growing concerns about synthetic media’s potential to manipulate public perception and undermine democratic processes. YouTube’s Deepfake Detection Technology Expands Its Reach YouTube’s likeness detection system, which launched last year to creators in its Partner Program, now enters a crucial new phase. The technology functions similarly to YouTube’s established Content ID system. However, instead of scanning for copyrighted music or video, it identifies AI-simulated faces. These digital forgeries often leverage the likeness of notable figures to spread false narratives. Consequently, the platform aims to balance free expression with the unique risks posed by convincing synthetic media. Leslie Miller, YouTube’s Vice President of Government Affairs and Public Policy, emphasized the program’s importance. “This expansion is really about the integrity of the public conversation,” Miller stated in a press briefing. “We know that the risks of AI impersonation are particularly high for those in the civic space.” The pilot provides eligible individuals with a tool to detect unauthorized AI-generated content featuring their likeness. They can then request removal if the content violates YouTube’s policies. How the New AI Protection Tool Works The process for pilot participants involves several verification and action steps. First, individuals must prove their identity by uploading a government ID and a selfie. After creating a verified profile, they gain access to a dashboard. This interface shows matches where the detection technology has found potential unauthorized likeness use. Users can then review these matches and optionally submit removal requests. Importantly, not every detection will result in automatic removal. YouTube will evaluate each request against its existing privacy and harassment policies. The company explicitly recognizes that parody and political critique constitute protected speech. Therefore, the evaluation process must distinguish between harmful impersonation and legitimate creative or critical expression. This nuanced approach reflects the complex landscape of online content moderation. A Framework for Future Regulation and Monetization YouTube’s initiative aligns with broader legislative efforts. The company supports the proposed NO FAKES Act in Washington, D.C. This legislation seeks to create a federal framework for regulating the unauthorized use of an individual’s voice and visual likeness via AI. Furthermore, YouTube plans to evolve the tool’s capabilities. Future iterations may allow individuals to prevent violating uploads before they go live. Another potential feature could enable monetization of authorized synthetic content, mirroring the model of the Content ID system for copyright holders. The Challenge of Labeling AI-Generated Content Transparency remains a key pillar of YouTube’s strategy. The platform mandates labels for AI-generated content, but their placement varies. For most videos, the label appears in the description box. However, content deemed more “sensitive” receives a more prominent label directly on the video player. Amjad Hanif, YouTube’s Vice President of Creator Products, explained this discretionary approach. “There’s a lot of content that’s produced with AI, but that distinction’s actually not material to the content itself,” Hanif noted. He illustrated this by pointing out that an AI-generated cartoon may not require the same prominent disclaimer as a synthetic video of a political figure. This tiered labeling system attempts to provide context without overwhelming viewers with unnecessary disclaimers. Initial Impact and the Road Ahead So far, the volume of removal requests from the initial creator pilot has been “very small,” according to Hanif. He suggested that for many creators, awareness of what’s being created has been the primary benefit. Most detected uses have been benign or even additive to their channels. However, the stakes are demonstrably higher for deepfakes targeting politicians, officials, and journalists. The potential for such content to influence public opinion or disrupt elections creates an urgent need for robust detection tools. YouTube has not disclosed which specific individuals or offices will participate in the initial pilot. The company’s stated goal is to refine the technology through this limited test before making it broadly available. Looking forward, YouTube intends to expand its detection capabilities beyond visual likeness. Future developments may include protection for recognizable spoken voices and other forms of intellectual property, such as popular fictional characters. Conclusion YouTube’s expansion of its AI deepfake detection technology marks a proactive step in the fight against synthetic misinformation. By focusing first on the most vulnerable targets—politicians, government officials, and journalists—the platform addresses a critical threat to public discourse. The pilot program’s careful balance between protection and free expression, coupled with transparent labeling, sets a noteworthy precedent. As AI tools become more accessible, such defensive measures will be essential for maintaining trust in digital media and safeguarding democratic institutions. FAQs Q1: Who is eligible for YouTube’s new deepfake detection pilot program? Initially, the pilot is available to a select group of verified government officials, political candidates, and journalists. Participants must verify their identity with a government ID and a selfie to gain access to the detection and removal tool. Q2: Does YouTube automatically remove every AI-generated video detected by the system? No. The system flags potential unauthorized uses of a person’s likeness. The individual can then request removal. YouTube evaluates each request against its policies, protecting legitimate forms of expression like parody and political critique. Q3: How does YouTube’s deepfake detection technology work? It operates similarly to YouTube’s Content ID system. The technology scans uploaded videos for AI-simulated faces that match the likenesses of individuals enrolled in the protection program, using advanced pattern recognition algorithms. Q4: Will all AI-generated content on YouTube be labeled? Yes, but label placement varies. Most AI-generated content receives a label in the video description. Content considered “sensitive,” such as synthetic media of public figures, gets a more prominent label directly on the video player. Q5: What are YouTube’s long-term plans for this technology? YouTube aims to make the tool widely available over time. Future plans may include allowing individuals to block violating content before upload and expanding detection to cover synthetic voices and other intellectual property. This post YouTube Deepfake Detection: Critical Shield Expands to Protect Politicians and Journalists first appeared on BitcoinWorld .

10 Mar 2026, 18:15

ChatGPT Interactive Visuals Revolutionize Learning with Dynamic Math and Science Explanations

BitcoinWorld ChatGPT Interactive Visuals Revolutionize Learning with Dynamic Math and Science Explanations On Tuesday, June 9, 2025, OpenAI launched a transformative feature for its ChatGPT platform: dynamic visual explanations. This powerful new capability allows users to interact directly with mathematical and scientific concepts in real time, moving beyond static text to manipulable visuals. The feature represents a significant shift in AI-assisted learning, aiming to foster deeper conceptual understanding through direct engagement. ChatGPT Interactive Visuals Transform Abstract Concepts OpenAI’s new feature enables users to see formulas, variables, and relationships change instantly. Instead of merely reading an explanation, learners can now adjust parameters and observe immediate effects. For instance, when exploring the Pythagorean theorem, a user can drag sliders to modify the lengths of a triangle’s legs. Consequently, the hypotenuse length updates dynamically on the screen. This interactive approach applies to over 70 core concepts across mathematics and physics. The available modules cover a wide range of topics, providing a substantial toolkit for students and educators. Key subjects include fundamental laws and equations essential for STEM education. Binomial Square & Difference of Squares: Algebraic expansions and factorizations. Charles’s Law & Ohm’s Law: Core principles in physics and electronics. Coulomb’s Law & Kinetic Energy: Foundational concepts in electromagnetism and mechanics. Exponential Decay & Compound Interest: Critical models in finance and natural sciences. To activate a visual, users simply ask ChatGPT a relevant question. Queries like “Explain the lens equation” or “How do I calculate orbital velocity?” now trigger not just a textual response but also an interactive module. OpenAI confirms the feature is available to all logged-in users globally, reflecting its commitment to accessible educational tools. The Strategic Shift in AI-Powered Education The introduction of dynamic visuals marks a deliberate evolution in ChatGPT’s role. Previously, the tool primarily delivered answers. Now, it actively encourages users to engage with underlying mechanisms. This pedagogical shift aligns with constructivist learning theories, which emphasize knowledge building through interaction. Therefore, the potential for deeper, more durable understanding increases significantly. OpenAI reports that more than 140 million people use ChatGPT weekly for assistance with math and science. These subjects historically present high barriers to entry. Interactive demos can lower these barriers by making abstract relationships tangible. The launch follows other educational features from OpenAI, creating a cohesive learning suite. ChatGPT Educational Tool Function Release Timeline Study Mode Guides users through problems step-by-step Late 2024 QuizGPT Generates flashcards and administers quizzes Early 2025 Dynamic Visual Explanations Provides interactive, manipulable diagrams June 2025 Industry Context and Competitive Landscape OpenAI is not alone in pursuing interactive learning aids. In November 2024, Google’s Gemini AI launched its own suite of interactive diagrams. This parallel development signals a broader industry trend toward experiential AI education. Both companies recognize that the next frontier for generative AI extends beyond text generation to facilitating comprehension and skill development. The education community remains divided on AI integration. Some educators express concern about overreliance, potentially undermining foundational skill practice. Conversely, many teachers and students have already embraced these tools. They integrate them into daily study routines as supplemental tutors. The effectiveness of tools like dynamic visuals will likely depend on implementation. Used as a discovery aid, they can be powerful. Used as a shortcut, they may hinder learning. Technical Implementation and Future Roadmap The dynamic visuals feature leverages advanced rendering and real-time computation within ChatGPT’s interface. When a user adjusts a variable, the system recalculates dependent values and updates the visual model instantly. This requires robust backend processing to ensure a seamless, lag-free experience. OpenAI has prioritized an initial set of 70+ concepts known to be challenging. The company plans to expand this library based on user feedback and demand. Future expansions could include more advanced topics in calculus, organic chemistry, or quantum mechanics. Furthermore, integration with curriculum standards is a likely next step. This would allow teachers to align specific modules with lesson plans. The feature’s success will be measured by user engagement metrics and educational outcomes. Independent studies will be crucial to validate its impact on learning efficacy. Conclusion OpenAI’s launch of ChatGPT interactive visuals represents a major advancement in educational technology. By transforming passive information consumption into active exploration, the tool has the potential to reshape how millions approach difficult STEM subjects. Its arrival amidst a competitive landscape highlights the growing role of AI as an interactive pedagogical partner. Ultimately, the feature’s true value will be determined by its ability to translate engagement into genuine, lasting understanding for learners worldwide. FAQs Q1: How do I access the new interactive visuals in ChatGPT? You must be a logged-in user. Simply ask ChatGPT a question about a supported math or science concept, such as “Show me Hooke’s law.” If the topic is among the initial 70+ modules, the response will include an interactive diagram. Q2: Is this feature available for free users of ChatGPT? Yes. OpenAI has stated that dynamic visual explanations are available to all logged-in users, including those on free tiers. This ensures broad accessibility for students and learners. Q3: What subjects are currently covered by the interactive visuals? The launch library includes over 70 concepts in mathematics and physics. Examples include the Pythagorean theorem, linear equations, area of a circle, Ohm’s law, Coulomb’s law, kinetic energy, and exponential decay. OpenAI plans to add more topics over time. Q4: How does this feature differ from Google Gemini’s interactive diagrams? Both aim to provide manipulable educational content. The core difference lies in the platform and underlying AI model. ChatGPT’s integration may feel more seamless for existing users, while Gemini’s might be tied closer to Google’s ecosystem. The range of initial topics and interaction design also varies. Q5: Can teachers use this feature in classroom settings? Absolutely. Educators can use ChatGPT’s interactive visuals as a demonstration tool to illustrate complex concepts dynamically. It can supplement traditional teaching methods by providing students with a hands-on way to explore variables and relationships outside of class. This post ChatGPT Interactive Visuals Revolutionize Learning with Dynamic Math and Science Explanations first appeared on BitcoinWorld .