hodler

2 May 2026, 03:30

Bitcoin’s Defenders Launch ‘Evidence Base’ In Battle Against FUD

“If you’re trying to own someone, you’ll trigger their defenses and accomplish nothing.” That line sits at the heart of a new tool built by a Nordic Bitcoin education group — one that aims to change how Bitcoin supporters respond to criticism online. A Database Built For Speed Bitcoin Beyond 66 , a Bitcoin education platform based in the Nordic region, has released what it calls The Bitcoin Evidence Base — an open-source, AI-powered tool that generates responses to common claims about Bitcoin’s environmental footprint and energy use. The database pulls from more than 22 peer-reviewed research papers, Cambridge University reports, and data from ERCOT, the Texas power grid operator. The idea is simple: give Bitcoin supporters credible, ready-to-use information fast, before a social media post gains traction. “Most people don’t have time to read 22+ peer-reviewed papers,” the group said. “When someone posts criticism on social media, you need a credible response — fast.” Users submit a Bitcoin-related claim — via text or a link — and the tool returns a sourced, evidence-based reply. One study the database regularly cites is an April 2025 report from the University of Cambridge, which found that more than 52% of Bitcoin is now mined using renewable energy. The group also points to data showing Bitcoin’s renewable energy mix runs higher than that of the traditional banking sector. Three Tones, One Goal The tool does not deliver a one-size-fits-all reply. Users can choose from three response tones — direct, balanced, or soft — depending on the situation. That flexibility reflects a broader communication strategy the group credits to Bitcoin environmentalist Daniel Batten, whose “playbook” the database is built around. The approach asks users to first acknowledge whatever truth may exist in a criticism before walking through the evidence that challenges it. The goal is not to silence critics but to inform both the person posting and anyone else reading the exchange. The database is open for contributions. Supporters can submit research papers and website links to Bitcoin Beyond 66 for review and possible inclusion. Mining’s Green Shift Bitcoin mining’s environmental impact has been a point of public debate for over a decade. Critics — including some government bodies and United Nations officials — have raised concerns about its carbon footprint. But reports indicate that the energy profile of Bitcoin mining has shifted considerably, with a growing share of operations drawing from lower-carbon and renewable sources. Bitcoin Beyond 66 says outdated data and poorly designed studies continue to shape public opinion in ways the current research no longer supports. The Evidence Base is its answer to that gap — a living, crowd-sourced archive that backers hope will make accurate information on Bitcoin mining easier to find and share. Featured image from MetaAI, chart from TradingView

2 May 2026, 01:21

Stablecoin usage sees significant increases while JPMorgan remains skeptical

Stablecoins are moving more money than ever before. However, according to analysts at JPMorgan Chase, the bigger story isn’t just growth—it’s how efficiently that money is moving. Faster money, not necessarily bigger market Stablecoin activity is rising quickly as more payments shift to real-time systems. In a 2026 research led by Nikolaos Panigirtzoglou, summarized by Moneywise, JPMorgan highlighted a simple but powerful shift in expectations: “Consumers and businesses increasingly expect funds to move as fast as information.” (Source: Moneywise, 2026, summarizing JPMorgan Global Markets Strategy research) Primary context: https://www.jpmorgan.com/?utm_source=chatgpt.com They added: “The sharp growth in real-time payment signals that instant settlement is moving from a ‘nice-to-have’ to a ‘must-have.’” (Source: Moneywise, 2026) What this really means: People don’t want to wait for money anymore—and increasingly, they don’t have to. As payments become instant, stablecoins get reused more often. That higher turnover—what analysts call velocity —means the system can handle more activity without needing a much larger supply. The data: usage is racing ahead The total stablecoin market is now worth over $300 billion. That’s impressive—but what’s more striking is how much these assets are being used. According to Andreessen Horowitz: “Stablecoins processed $46 trillion in total transaction volume in the last year.” (Source: a16z Crypto, State of Crypto Report , 2025) Primary report: https://a16zcrypto.com/state-of-crypto-report-2025/ Another dataset from the same firm shows: “Stablecoins have done $9 trillion in volume in the last 12 months.” (Source: a16z Crypto, 5 More Charts That Explain Crypto , 2025) Primary dataset: https://a16zcrypto.substack.com/p/5-more-charts-that-explain-crypto Why this stands out: Even if the exact numbers vary, the direction is clear— usage is growing much faster than market size . That gap is exactly what JPMorgan is pointing to. A simple way to see the shift Here’s a clearer way to understand what’s happening: Metric 2022 2024 2026 (est.) Trend Stablecoin Market Cap ~$150B ~$250B $300B+ Steady growth Annual Transaction Volume ~$6T ~$20T $17T–$46T Rapid growth Implied Velocity (Volume ÷ Market Cap) ~40x ~80x 60x–150x Rising fast The takeaway: Stablecoins aren’t just growing—they’re working harder . Each dollar is being used more frequently, which is why transaction volume is pulling away from market cap. Regulation is helping bring this into the mainstream Rules are also starting to catch up with adoption. The GENIUS Act is one of the first major efforts to create a clear legal framework for stablecoins in the U.S. The law requires stablecoins to be backed one-to-one by high-quality reserves , such as U.S. dollars or Treasuries. Why this matters: When rules become clearer, more businesses and institutions are willing to participate. That doesn’t just increase supply—it increases how often stablecoins are used , which again feeds into higher velocity. Who dominates the market today? Even with all this growth, the market is still concentrated among a few major players: Issuer Flagship Stablecoin Est. Market Share Role in Velocity Tether USDT ~65–70% High trading activity, fast turnover Circle USDC ~20–25% Payments and institutional use Others Various ~5–10% Smaller but growing What this tells us: Not all stablecoins behave the same way. Some are used heavily in trading (high velocity), while others are gaining traction in payments and real-world finance. That mix will shape how the market evolves. So what’s really changing? Step back, and a clear pattern emerges: Stablecoins are being used more often. Transactions are happening faster. The system is becoming more efficient. This points to a bigger shift: Stablecoins are no longer just digital cash. They are becoming core financial infrastructure. Still letting the bank keep the best part? Watch our free video on being your own bank .

1 May 2026, 22:59

Meta has acquired Assured Robot Intelligence to strengthen its push into humanoid robots

Tech giant Meta has begun taking steps toward its long-touted plan of making humanoid robots. The social media firm has acquired Assured Robot Intelligence and folded its team into the company’s Superintelligence Labs unit, according to reports on Friday. The financial terms were not disclosed. At its core, Assured Robot Intelligence has been working on a difficult problem, like teaching machines to better understand people. Its AI models are designed to help robots interpret human behavior and respond to it in real-world, often unpredictable environments. The startup’s co-founders, Lerrel Pinto and Xiaolong Wang, will now join Meta’s robotics push, working alongside its Robotics Studio, which was set up in 2025 to develop the building blocks of humanoid machines. Both founders bring deep research experience. Wang previously worked at Nvidia. Pinto co-founded Fauna Robotics, which was acquired by Amazon earlier this year as part of its own robotics ambitions. Meta says the new team will focus on improving how robots move, learn, and interact, particularly when it comes to full-body humanoid motion. Meta is betting on robots next Meta disclosed its plan to build humanoid robots in February last year. People familiar with the matter noted the company was forming a dedicated team from the hardware division of Reality Labs, which was initially focused on building the company’s metaverse ambitions. In 2025, Reality Labs reported operating losses exceeding $19 billion. The company has now ditched its metaverse dream and is channeling its resources toward building humanoids. Meta will initially focus on robots that will take on household chores, according to reports. As of last year, the people said Meta had no intention of immediately building Meta-branded robots to compete with Tesla’s Optimus. However, they may take on that direction later in the future. Why Meta acquired Assured Robot Intelligence Last year, Meta’s CTO Andrew Bosworth mentioned that the software to power the robots is the biggest bottleneck for the company, not necessarily the hardware. “I don’t think the hardware is the hard part,” Bosworth said during Meta’s recent Connect conference. “I’m not saying the hardware isn’t also hard, but it’s not the bottleneck. The bottleneck is the software.” Assured Robot Intelligence is focused on building AI models that drive robots. If you want a calmer entry point into DeFi crypto without the usual hype, start with this free video.

1 May 2026, 22:25

Meta Humanoid Robotics Acquisition Powers Bold AI Ambitions for Physical Labor

BitcoinWorld Meta Humanoid Robotics Acquisition Powers Bold AI Ambitions for Physical Labor Meta has acquired humanoid robotics startup Assured Robot Intelligence (ARI) for an undisclosed sum. The social media giant confirmed the deal in an emailed statement to Bitcoin World. This acquisition marks a significant step in Meta’s push to develop advanced AI systems capable of physical interaction with the real world. Meta Humanoid Robotics Acquisition: Key Details The deal brings ARI’s entire team, including co-founders Lerrel Pinto and Xiaolong Wang, into Meta’s AI unit. Specifically, they will join the Superintelligence Labs research division. ARI had previously raised an undisclosed seed round from AI seed firm Aix Ventures. The startup focused on building foundation models for humanoid robots designed to perform various physical labor tasks, such as household chores. Co-founder Xiaolong Wang previously worked as a researcher at Nvidia. He also serves as an associate professor at UC San Diego. His list of prestigious awards highlights his expertise in robot learning and control. Co-founder Lerrel Pinto taught at NYU and co-founded Fauna Robotics, a kid-size humanoid startup that Amazon acquired last month. Pinto has also won several prestigious awards for his work in robotics. Meta researchers have been working on humanoid robotics technology for years. A leaked memo from a year ago outlined Meta’s ambitions to build a consumer-focused humanoid robot, including both AI models and hardware. The ARI acquisition directly supports these goals. A Meta spokesperson stated, “This team will bring deep expertise in how we can design our models and frontier capabilities for robot control and self-learning to whole-body humanoid control.” Why Physical AI Matters for Meta AI Ambitions Many AI experts now believe that achieving artificial general intelligence (AGI) requires training AI models in the physical world. Robots learn through direct interaction with environments, not just from data alone. This approach allows AI systems to understand cause and effect, spatial relationships, and physical constraints. Meta’s investment in humanoid robotics aligns with this growing consensus. The acquisition also reflects a broader industry sprint. Market forecasts vary widely, highlighting both the potential and uncertainty in this space. Goldman Sachs projects the humanoid robotics market could reach $38 billion by 2035. Morgan Stanley estimates a much larger figure of $5 trillion by 2050. This spread shows the enormous opportunity and the challenges ahead for technology still finding its footing. Expert Insights on Humanoid AI Robots Industry analysts view this acquisition as a strategic move to secure top talent and foundational technology. “Meta is betting that physical embodiment is a necessary component of general intelligence,” said a robotics researcher familiar with the deal. “By acquiring ARI, they gain expertise in whole-body control and self-learning that few other companies possess.” The ARI team’s background in both academia and industry strengthens Meta’s position. Wang’s work at Nvidia involved developing simulation environments for robot training. Pinto’s experience with Fauna Robotics, acquired by Amazon, demonstrates practical application of humanoid technology. Together, they bring a rare combination of theoretical knowledge and real-world implementation skills. Timeline of Meta’s Robotics Journey Meta’s interest in robotics is not new. The company has invested in AI research for over a decade. Here is a brief timeline of key events: 2013: Meta hires Yann LeCun to lead AI research, establishing FAIR (Facebook AI Research). 2021: Meta reorganizes AI efforts under the new AI unit, focusing on embodied AI. 2022: Researchers publish papers on teaching robots to manipulate objects using tactile sensors. 2023: Leaked memo reveals Meta’s plans to build a consumer humanoid robot. 2024: Meta acquires Assured Robot Intelligence to accelerate humanoid development. This timeline shows Meta’s gradual but determined shift toward physical AI. The ARI acquisition represents a concrete step toward making humanoid robots a reality. Impact on the Robotics Industry The acquisition signals growing competition among tech giants for robotics talent and technology. Amazon recently acquired Fauna Robotics. Tesla continues developing its Optimus humanoid robot. Google’s DeepMind has made significant strides in robot learning. Meta’s entry into this space adds another major player to the field. For startups, this trend means increased acquisition opportunities. However, it also raises the bar for developing truly innovative technology. Investors are paying close attention to humanoid robotics companies with strong research foundations. The ARI acquisition validates the importance of foundation models for robot control. Potential Consumer Applications If Meta successfully develops a consumer humanoid robot, the applications could be transformative. Possible use cases include: Household chores: Cleaning, cooking, and organizing living spaces. Elderly care: Assisting with mobility, medication reminders, and companionship. Education: Interactive learning tools for children and students. Disaster response: Navigating dangerous environments to rescue victims. Manufacturing: Performing repetitive tasks with precision and consistency. Each of these applications requires advanced AI capable of understanding and adapting to human behavior. ARI’s technology directly addresses this challenge. Challenges Ahead for Humanoid AI Robots Despite the progress, significant challenges remain. Humanoid robots must operate safely in unpredictable environments. They need to understand human intentions and social cues. Battery life, dexterity, and cost are also major hurdles. Meta’s research team will need to solve these problems before a consumer product becomes viable. Regulatory and ethical considerations also play a role. As robots become more capable, questions about job displacement, privacy, and safety arise. Meta will need to address these concerns proactively to gain public trust. Conclusion Meta’s acquisition of Assured Robot Intelligence represents a strategic investment in the future of humanoid robotics. By bringing top talent and foundational technology in-house, Meta positions itself to lead in the development of physical AI systems. The path to AGI may indeed require robots that learn through real-world interaction. This deal moves Meta closer to that goal, while also opening new possibilities for consumer applications. The humanoid robotics market, valued in the billions today, could grow to trillions in the coming decades. Meta is betting big on that future. FAQs Q1: Why did Meta acquire Assured Robot Intelligence? Meta acquired ARI to accelerate its development of humanoid robots capable of performing physical labor. The startup’s expertise in foundation models for robot control and self-learning directly supports Meta’s AI ambitions, including the pursuit of artificial general intelligence. Q2: What technology does Assured Robot Intelligence specialize in? ARI specializes in building foundation models for humanoid robots. These models enable robots to understand, predict, and adapt to human behaviors in complex environments. The technology focuses on whole-body control and self-learning through physical interaction. Q3: Who are the key people joining Meta from ARI? Co-founders Lerrel Pinto and Xiaolong Wang are joining Meta’s AI unit. Wang previously worked at Nvidia and is an associate professor at UC San Diego. Pinto co-founded Fauna Robotics, which Amazon acquired, and taught at NYU. Both have won prestigious awards for their robotics research. Q4: How does this acquisition fit into Meta’s broader AI strategy? Meta has been researching humanoid robotics for years. A leaked memo from 2023 outlined plans to build a consumer humanoid robot. This acquisition provides the foundational technology and talent needed to turn those plans into reality, supporting Meta’s goal of achieving AGI through physical world training. Q5: What are the market projections for humanoid robotics? Forecasts vary widely. Goldman Sachs projects the market could reach $38 billion by 2035. Morgan Stanley estimates a much larger figure of $5 trillion by 2050. This range reflects both the enormous potential and the uncertainty surrounding the technology’s development and adoption. This post Meta Humanoid Robotics Acquisition Powers Bold AI Ambitions for Physical Labor first appeared on BitcoinWorld .

1 May 2026, 20:02

Can XRP Reach $10k? Expert Says Watch This Video Until the End

John Squire (@TheCryptoSquire) posted a bold claim to his audience, stating that XRP could reach $10,000. He pointed to real adoption, institutional money, and trillions moving through the financial system. He shared a video alongside the post. That video lays out the case in detail. What the Video Argues Emily Stone, part of Squire’s marketing and research team, narrates the video. She opens with a direct question: What would it take for XRP to reach $10,000? Her answer cuts straight to the point. This is not about hype. It requires “a complete shift in the global financial system .” Stone notes current adoption as evidence that the shift is already moving. In Japan, millions of users are transacting with XRP across thousands of shops. She calls it “real demand, not speculation.” Ripple is also expanding into regulated markets like Australia, operating inside the financial system rather than outside it. #XRP COULD REACH $10K What if $XRP evolves into the core layer of global finance? Real adoption, institutional money, trillions moving through the system… this goes way beyond what most people are even thinking about. Watch this video until the end pic.twitter.com/4wET0U5LE7 — John Squire (@TheCryptoSquire) April 30, 2026 Garlinghouse’s Words Carry Weight Stone references Ripple CEO Brad Garlinghouse directly. She noted that Garlinghouse has called XRP the North Star of Ripple’s strategy. Stone explains that it signals XRP is not just a tool Ripple uses, but it is what Ripple builds around. Every partnership and every payment corridor exists to strengthen XRP’s utility . Squire responded to that point in his own post. He wrote that this is not just corporate speak. He sees it as a commitment to keeping XRP at the center of global finance. The $10,000 Scenario Stone discussed what would push XRP to $10,000. Governments would need to integrate it directly. Tokenized assets across every class, including real estate and stocks, would move through the XRP Ledger. Trillions in global payments would flow through blockchain infrastructure. Legacy systems would also step aside. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Under that scenario, demand rises sharply while supply stays fixed. Stone describes the math as looking “very different” at that scale. That is where large price movements become possible. She is clear that this outcome is not guaranteed. She calls it an extreme scenario. A what-if that she believes deserves serious attention. The video does not sell certainty, but presents a possibility and asks whether investors are paying attention. What’s Next for XRP? Squire’s post reinforces Stone’s core message. Real adoption is already happening. Institutional trust is building, and the infrastructure is being constructed inside regulated systems. That combination is what separates this scenario from ordinary speculation and makes the $10,000 target possible . 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 Can XRP Reach $10k? Expert Says Watch This Video Until the End appeared first on Times Tabloid .

1 May 2026, 18:15

Elon Musk Lawsuit Against OpenAI: The Explosive Legal Battle with Sam Altman Heats Up

BitcoinWorld Elon Musk Lawsuit Against OpenAI: The Explosive Legal Battle with Sam Altman Heats Up The Elon Musk lawsuit against OpenAI has entered a critical phase. Musk spent three days on the witness stand this week. The case centers on allegations that Sam Altman betrayed OpenAI’s original nonprofit mission. Emails, text messages, and Musk’s own tweets are now part of the court record. This legal battle is far from over. The Core of the Elon Musk Lawsuit Against OpenAI Musk’s argument is straightforward. He claims OpenAI’s conversion to a for-profit model violates its founding principles. The company was established as a nonprofit in 2015. Its goal was to develop artificial intelligence for the benefit of humanity. Musk alleges that Altman and the board prioritized profits over safety. The lawsuit seeks to block this transition. It also demands financial restitution. Court documents reveal internal conflicts. Musk’s testimony highlighted a key disagreement. He believed OpenAI should remain transparent. Altman, according to Musk, pushed for a more commercial approach. This friction led to Musk’s departure from the board in 2018. The lawsuit was filed in 2024. It has since drawn significant public attention. Key Evidence in the Sam Altman OpenAI Dispute The courtroom has seen a flood of evidence. Emails between Musk and Altman show early tensions. In one message, Musk warned about the risks of profit-driven AI. Another email from Altman discussed revenue strategies. These documents are central to the case. Emails: Reveal disagreements over OpenAI’s direction. Text messages: Show personal and professional friction. Tweets: Musk’s public statements are used as evidence. Board minutes: Document decisions about the for-profit shift. The court also heard from former employees. They testified about a culture shift at OpenAI. Early staff believed in the nonprofit mission. Later hires focused on product development. This change aligns with Musk’s claims. Impact on the AI Industry and Future Regulation The outcome of this lawsuit could reshape the AI sector. If Musk wins, other AI companies may face similar challenges. The case questions the ethics of for-profit AI development. Regulators are watching closely. The European Union is already drafting AI laws. The United States is considering new rules. Legal experts offer varied opinions. Professor Sarah Chen of Stanford Law notes, “This case tests the boundaries of corporate governance in tech.” She adds, “The verdict will set a precedent for nonprofit-to-for-profit conversions.” Other experts warn of unintended consequences. A ruling against OpenAI could slow innovation. It might also encourage more transparency. Timeline of the Musk v. Altman Legal Battle The dispute has a long history. Here is a timeline of key events: Year Event 2015 OpenAI founded as a nonprofit. 2018 Musk leaves the board. 2020 OpenAI announces GPT-3 and for-profit arm. 2023 ChatGPT launches, sparking public interest. 2024 Musk files lawsuit. 2025 Court hearings begin. This timeline shows the gradual shift in OpenAI’s strategy. The lawsuit aims to reverse this trend. Broader Implications for Artificial Intelligence Ethics The case raises fundamental questions. Can AI development be both safe and profitable? Musk argues no. He believes profit motives lead to rushed, unsafe products. Altman counters that funding is necessary for advanced research. This debate echoes across the tech world. Other AI leaders have weighed in. Demis Hassabis of DeepMind supports a balanced approach. He advocates for “responsible profit.” Yann LeCun of Meta argues that profit drives innovation. These differing views highlight the complexity of the issue. What Comes Next in the OpenAI Lawsuit The trial is expected to last several more weeks. More witnesses will testify. These include current and former OpenAI executives. The court will also review additional documents. A final verdict may take months. Both sides are preparing for appeals. The legal costs are already substantial. Musk is funding his own legal team. OpenAI is using corporate resources. The financial stakes are high. The reputational stakes are even higher. Conclusion The Elon Musk lawsuit against OpenAI is a landmark case. It challenges the core of AI development ethics. The battle between Musk and Altman is just beginning. The outcome will influence AI regulation, corporate governance, and public trust. As the trial continues, the world watches closely. This legal fight is a defining moment for the future of artificial intelligence. FAQs Q1: What is the Elon Musk lawsuit against OpenAI about? Musk claims OpenAI violated its nonprofit mission by converting to a for-profit model. He argues this prioritizes profits over AI safety. Q2: Who is Sam Altman in this context? Sam Altman is the CEO of OpenAI. He is the primary defendant in the lawsuit. Musk alleges Altman led the shift to a for-profit structure. Q3: What evidence is being used in the case? Emails, text messages, tweets, and board minutes are key evidence. They show disagreements over OpenAI’s direction. Q4: How could this lawsuit affect the AI industry? A ruling against OpenAI could set a precedent. It may lead to stricter regulations and more transparency in AI development. Q5: When will the trial end? The trial is ongoing. A verdict is expected in late 2025 or early 2026. Appeals could extend the timeline. This post Elon Musk Lawsuit Against OpenAI: The Explosive Legal Battle with Sam Altman Heats Up first appeared on BitcoinWorld .