Invest ideasNews
17 Feb 2026, 09:55
Financial Advisors Constantly Asked by Clients About XRP: Grayscale Exec
Interest in XRP is extending well beyond retail investors, as a senior executive at Grayscale Investments says financial advisors are frequently fielding client questions about the asset. Rayhaneh Sharif-Askary, Head of Product and Research at Grayscale, shared this information during XRP Community Day. Visit Website
17 Feb 2026, 09:02
XRP Ledger 2013 Data Tied to Elon Musk Involvement
Crypto analyst Steph Is Crypto has published a tweet asserting that early XRP Ledger data reveals a substantial transfer of XRP in 2013 to an account labeled “Musk.” In the post, he wrote, “BREAKING: Early XRP Ledger data shows a massive XRP transfer to an account labeled Musk, pointing to early involvement tied to Elon Musk back in 2013.” The claim was accompanied by screenshots from an XRP Ledger explorer interface displaying transaction records dated November and December 2013. The images show multiple payment entries, including several outgoing transfers of 5,000,000 XRP each to accounts labeled “~musk,” “~asimov,” “~andreessen,” and “~thiel.” Another entry indicates an activation transaction involving approximately 16,783,000 XRP connected to the “~musk” account. The screenshots appear to be sourced from XRPSCAN, a blockchain explorer for the XRP Ledger . The transaction history displayed in the image includes timestamps, transaction hashes, wallet addresses, and amounts denominated in XRP . The most prominent detail highlighted by Steph Is Crypto is the 5,000,000 XRP payment directed to the account labeled “~musk” on November 30, 2013. BREAKING: Early $XRP Ledger data shows a massive XRP transfer to an account labeled Musk, pointing to early involvement tied to Elon Musk back in 2013. pic.twitter.com/QE1nNdxKPg — STEPH IS CRYPTO (@Steph_iscrypto) February 15, 2026 Details Shown in the Attached Ledger Screenshots The ledger data visible in the images reflects activity from late 2013, shortly after the XRP Ledger was launched. Several large transfers of 5,000,000 XRP are shown as outgoing transactions from the same source account to different destinations. The account “~musk” appears alongside other labels referencing surnames associated with prominent figures. One transaction entry dated November 25, 2013, indicates an “ACTIVATED” status involving over 16 million XRP linked to the “~musk” label. Subsequent entries show outgoing transfers of 5,000,000 XRP to that same labeled account. Additional smaller inbound payments of 60.999000 XRP and 1.700000 XRP appear in December 2013. Steph Is Crypto’s tweet suggests that these data point to early involvement connected to Elon Musk. However, the screenshots only display a label and do not provide direct verification of the identity behind the account. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Mixed Reactions in the Comment Section The tweet generated contrasting responses from users. One commenter, identified as LadyP, questioned the assumption behind the claim, writing, “Well, we hope it was Elon and not like, someone called Bob Musk.” The remark reflects skepticism regarding whether the account label definitively corresponds to Elon Musk. Another user, SEAblitz, challenged the authenticity of the screenshots, stating, “The Photoshop on this is the worst I’ve seen on here. Just ask Grok to do it next time.” This comment raises doubts about whether the images accurately represent genuine XRP Ledger data. Steph Is Crypto’s post frames the discovery as significant historical evidence. At the time of writing, no independent confirmation has been presented establishing that the “~musk” account is directly linked to Elon Musk . The tweet relies on publicly visible ledger labels and transaction records from 2013 to support its claim of early involvement. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post XRP Ledger 2013 Data Tied to Elon Musk Involvement appeared first on Times Tabloid .
17 Feb 2026, 08:45
Ripple Beats Bitcoin and Ethereum to Emerge as Fourth Strongest Brand Intimacy Crypto Project
Global brand-intimacy research firm MBLM ranks Ripple as the fourth-strongest crypto brand by emotional connection, ahead of industry giants such as Bitcoin and Ethereum. In its latest ranking, MBLM highlights Ripple’s strong standing in the sector, emphasizing the depth of users’ emotional connection to the brand compared to other established crypto entities. Visit Website
16 Feb 2026, 23:15
Gold Forecast: Researchers See Prices Hovering Near $5,000 in Q1 2026
Gold is expected to trade around current prices through the first quarter, according to Sucden Financial market strategists, even as prices pulled back modestly on Feb. 16 amid thin holiday liquidity and profit-taking. Gold Prices Cool but Analysts Maintain $5,000 Q1 View In its Q1 2026 Quarterly Metals Report, Sucden Financial’s Head of Research Daria
16 Feb 2026, 20:15
Satoshi's 2010 Post Sheds Light on Bitcoin-Gold Comparison
Galaxy Digital Head of Research Alex Thorn has recalled a 16-year-old thought experiment from Satoshi Nakamoto to defend the "digital gold" narrative.
16 Feb 2026, 18:00
Ricursive Intelligence’s Meteoric Rise: How an AI Chip Design Startup Secured $335M and a $4B Valuation in Just Four Months
BitcoinWorld Ricursive Intelligence’s Meteoric Rise: How an AI Chip Design Startup Secured $335M and a $4B Valuation in Just Four Months In a funding spectacle that has captivated the semiconductor and artificial intelligence sectors, Ricursive Intelligence has demonstrated a staggering trajectory. The startup, founded by AI pioneers Anna Goldie and Azalia Mirhoseini, announced a $300 million Series A round at a $4 billion valuation in April 2025. This landmark deal, led by Lightspeed Venture Partners, arrived merely two months after a $35 million seed round led by Sequoia Capital, culminating in a total of $335 million raised within four months of launch. The rapid ascent underscores a seismic shift in how the foundational hardware for AI is created, moving from human-centric design to AI-driven automation. The Foundational Pedigree Behind Ricursive Intelligence The co-founders’ reputations provided the bedrock for investor confidence. Anna Goldie (CEO) and Azalia Mirhoseini (CTO) are luminaries within the AI research community, with careers that have moved in remarkable synchrony. Their professional journey began at Stanford University and continued at Google Brain, where they started on the same day. Subsequently, they joined AI safety lab Anthropic together, returned to Google, and ultimately departed to found Ricursive Intelligence—all on identical dates. Their most celebrated contribution is the Alpha Chip project at Google. This AI tool revolutionized chip design by generating high-quality semiconductor layouts in approximately six hours—a task that traditionally consumes human engineering teams over a year. The technology was instrumental in designing multiple generations of Google’s proprietary Tensor Processing Units (TPUs), which power its AI services. This proven track record in delivering production-ready technology directly translated into immense investor trust. Redefining the AI Hardware Landscape Ricursive Intelligence operates in a unique niche. Unlike numerous startups aiming to challenge Nvidia’s dominance in GPU manufacturing, Ricursive builds the AI tools that design the chips themselves . This strategic distinction makes them a potential partner to, rather than a competitor of, industry giants. Notably, Nvidia is an investor, alongside AMD and Intel, all of whom represent the startup’s target customer base. “We want to enable any chip, like a custom chip or a more traditional chip, to be built in an automated and very accelerated way. We’re using AI to do that,” CTO Azalia Mirhoseini explained. The company’s platform aims to handle the entire design process, from initial component placement through final verification, utilizing large language models (LLMs) and reinforcement learning. The Alpha Chip Legacy and Technical Breakthrough The core technology expands upon their Google research. The Alpha Chip system used a reward-based reinforcement learning model. An AI agent would propose a chip layout, receive a “reward signal” rating its quality, and then update its neural network to improve. After thousands of iterations, the agent achieved unprecedented speed and efficiency. Ricursive’s commercial platform seeks to generalize this learning across different chip architectures. Each design it completes theoretically enhances its capability for the next, creating a compounding knowledge base. This approach directly tackles the immense complexity of modern chips, which contain billions of microscopic components that must be placed for optimal performance and power efficiency. Market Impact and the AGI Ambition The funding surge reflects a critical bottleneck in the AI industry: chip design cycles are too slow . The lengthy, manual process of designing application-specific integrated circuits (ASICs) constrains the rapid iteration of AI models. Ricursive posits that by drastically accelerating hardware design, they can enable a “fast co-evolution” of AI models and the chips that power them. “Chips are the fuel for AI,” stated CEO Anna Goldie. “By building more powerful chips, that’s the best way to advance that frontier.” The founders’ long-term vision involves AI designing increasingly sophisticated hardware for AI, a recursive loop that could contribute to progress toward Artificial General Intelligence (AGI). More immediately, the technology promises significant gains in hardware efficiency, potentially delivering up to a 10x improvement in performance per total cost of ownership for AI labs. Overcoming Controversy and Industry Reception The path hasn’t been without friction. During their time at Google, their Alpha Chip work attracted internal controversy, including a campaign by a colleague to discredit their research—a situation detailed in a 2022 Wired report. Despite this, the technology proved its worth in creating Google’s most critical AI chips. Today, industry reception appears overwhelmingly positive. While Ricursive remains discreet about its early customers, the founders confirm engagement with “every big chip-making name you can imagine.” The startup has its pick of development partners, indicating strong market demand for its disruptive solution. Conclusion The story of Ricursive Intelligence is more than a record-breaking funding round. It represents a pivotal moment where AI turns its capabilities inward to optimize its own physical infrastructure. By raising $335 million at a $4 billion valuation in just four months, Goldie and Mirhoseini have validated a powerful thesis: the future of semiconductor advancement lies in AI-driven design automation. Their work could ultimately reduce the resource footprint of AI expansion and accelerate the entire field’s development, making Ricursive a company to watch as the hardware and software of intelligence continue to merge. FAQs Q1: What does Ricursive Intelligence actually build? Ricursive builds AI software platforms that automate and accelerate the design of computer chips. They do not manufacture physical chips but create the tools that chip makers like Nvidia, Intel, and AMD use to design them. Q2: Why is Ricursive’s $4 billion valuation significant after only four months? The valuation reflects extreme investor confidence in the founders’ proven track record (from Google’s Alpha Chip), the urgent market need to speed up chip design, and the company’s unique position as a toolmaker for the entire semiconductor industry rather than a direct competitor. Q3: How does Ricursive’s AI chip design technology work? It uses reinforcement learning. An AI agent generates a chip layout, receives a score on its quality, and learns from that feedback to improve future designs. The system learns across multiple projects, becoming faster and more efficient over time. Q4: Who are the main investors in Ricursive Intelligence? The $35 million seed round was led by Sequoia Capital. The $300 million Series A round was led by Lightspeed Venture Partners. Strategic investors also include major chipmakers like Nvidia, AMD, and Intel. Q5: What is the potential broader impact of AI-designed chips? Faster chip design can accelerate AI innovation overall by allowing hardware to evolve in tandem with software models. It could also lead to more energy-efficient chips, reducing the massive computational resource consumption of current AI development. This post Ricursive Intelligence’s Meteoric Rise: How an AI Chip Design Startup Secured $335M and a $4B Valuation in Just Four Months first appeared on BitcoinWorld .
