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7 May 2026, 21:02
This Analyst Says XRP’s Bottom Is In. Here’s the Next Move
A tightening price structure now defines XRP’s higher-time frame chart. Momentum has slowed, yet price action shows a clear pattern forming near a key support zone. This setup has drawn attention after crypto analyst Crypto Michael (@MichaelXBT) shared a chart and a direct view on what comes next. He stated that XRP has hit its bottom and predicts that a major rally is imminent. His chart focuses on a multi-month falling wedge that now approaches resolution. XRP bottom is in Major bullish rally imminent pic.twitter.com/ULFFtScM2t — Crypto Michael (@MichaelXBT) May 6, 2026 Key Support for the Falling Wedge The chart shows XRP on the weekly timeframe. Its price has trended downward since mid-2025, when it hit its all-time high , forming lower highs along a clear descending resistance line. At the same time, a slower descending support line tracks the lows. This creates a narrowing wedge pattern. XRP now trades near $1.41, with the structure compressing toward the wedge’s apex. This often signals a pending breakout phase as volatility tightens. A highlighted horizontal zone sits near $2. This level previously acted as support and later as resistance. It now stands as a key reclaim level. XRP must exit the falling wedge and break above this area to confirm strength. Compression Points to Breakout Conditions Recent candles show smaller bodies and reduced volatility. This supports the idea of compression. The market shows less aggressive selling while buyers begin to stabilize the price above the lower trendline. The lower boundary of the wedge has held multiple tests, as XRP experienced flash crashes in early 2026. Each bounce reinforces its role as support. Meanwhile, the descending resistance line continues to cap rallies. This builds pressure within the structure. What Needs to Happen Next? For confirmation, XRP needs a decisive move above the descending resistance line. A weekly close above this trendline would signal a structural shift. The next step would involve reclaiming $2 as support. If XRP reached that level, it could open a path toward higher resistance zones seen earlier in 2025. Those areas sit above $2.5 and extend toward the $3 range. Volume will play a key role. A breakout without strong participation may lack follow-through. Sustained buying pressure would strengthen the case for continuation. After a prolonged consolidation phase , XRP has now hit its bottom, and Crypto Michael believes it can only go up from here. 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 This Analyst Says XRP’s Bottom Is In. Here’s the Next Move appeared first on Times Tabloid .
7 May 2026, 21:00
The rise of digital twins is letting firms bypass real people to boost profits
Large companies are moving away from traditional surveys and turning to AI-generated replicas of real people, a shift that offers faster insights but also sparks concerns about employment and data privacy. A viral TikTok can make a brand famous in hours, but many companies still rely on twelve-week research cycles. By the time results arrive, the data is often obsolete. There’s often a delay between getting feedback and understanding what it means. Because of this, big companies can struggle to respond quickly when trends change fast. Many companies believe that digital twins are the solution. These are digital copies of real things, systems, or even people. Companies use them to try out ideas and see what might happen before doing it in real life. Major banks and pharmaceutical companies are already utilizing this technology to predict how people would react to important events or freshly released items. Testing happens in seconds instead of weeks The technology is currently gaining momentum in high-tech businesses. Researchers at the University of Glasgow built a digital twin system that uses machine learning to check computer networks. Their new method can measure how well a network is working in just 4.78 seconds. Older methods took about 33 hours to do the same job. Because it is so much faster, engineers can test many more situations, especially as networks become more complex. The same demand for quick information is altering consumer research. A startup named Brox has generated 60,000 digital duplicates of actual individuals. These are not simply estimates, but highly detailed profiles based on extensive interviews, with some comprising up to 300 pages of material about a single person. Instead of depending primarily on traditional statistical models, firms may now run multiple simulations in hours rather than months. Hamish Brocklebank, who runs Brox, explained the difference. “You can create 10,000 truly synthetic digital twins [using LLMs], but the answers will still normalize into a very tight distribution, which is not realistic when you’re actually asking real people,” he said. Because Brox already has these twins ready to go, a major pharmaceutical company can ask the digital crowd questions and get reliable results in hours, skipping the entire step of finding real people to interview. Automation targets higher-paid workers The rapid push toward automation has a disadvantage. According to MIT economist Daron Acemoglu , many businesses utilize automation primarily to save money rather than to increase efficiency. According to his research, employers are more willing to replace people with higher compensation. The study also demonstrated a significant impact on income inequality. Automation accounted for 52% of the increase in income disparity between 1980 and 2016. Acemoglu noted that the higher a worker’s pay, the more corporations are incentivized to automate that position. He also argued that this focus on cutting labor costs has reduced many of automation’s potential benefits. According to the research, efforts to lower wages erased 60% to 90% of the productivity gains automation was supposed to create, resulting in what he described as relatively weak productivity growth. Privacy is also becoming an important problem. A team at IMDEA Networks Institute uncovered that prominent AI systems , including ChatGPT, Claude, and Perplexity AI, use tracking techniques developed by Google and TikTok. These trackers may collect information about what users talk about, such as chat titles and web addresses. Digital twins are formed utilizing highly personal information, such as childhood experiences, behaviors, and relationships. When paired with third-party tracking, these technologies can gather and handle massive volumes of sensitive data. The AI simulation and digital twin industry is expected to reach $21.33 billion by 2030. *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:c37a672c-c3b7-4143-bc66-bf1250cca7b4-4" data-testid="conversation-turn-10" data-scroll-anchor="false" data-turn="assistant"> As companies use more and more very realistic virtual versions instead of real people, there are growing concerns about losing jobs and about privacy. Another issue is how real these systems can look. Digital twins and AI tools can seem so real that some people might even think they are truly conscious or “alive.” Your bank is using your money. You’re getting the scraps. Watch our free video on becoming your own bank
7 May 2026, 19:35
Inside OpenAI’s safety crisis: Former employees testify in Musk lawsuit
BitcoinWorld Inside OpenAI’s safety crisis: Former employees testify in Musk lawsuit Elon Musk’s legal campaign to dismantle OpenAI’s for-profit structure is forcing a rare public examination of how the company’s shift toward commercial products may have compromised its founding mission: ensuring that artificial general intelligence (AGI) benefits all of humanity. On Thursday, a federal court in Oakland heard testimony from a former employee and a former board member who described a pattern of safety lapses and governance failures inside the AI lab. Safety teams disbanded as product pressure mounted Rosie Campbell joined OpenAI’s AGI readiness team in 2021 and left in 2024 after her team was disbanded. Another safety-focused group, the Super Alignment team, was shut down during the same period. Campbell testified that when she joined, the culture was heavily research-oriented, with frequent discussions about AGI and safety. “Over time it became more like a product-focused organization,” she said. Under cross-examination, Campbell acknowledged that significant funding is necessary for building AGI, but argued that creating a super-intelligent model without adequate safety measures contradicts the mission she originally signed up for. She pointed to a specific incident where Microsoft deployed a version of OpenAI’s GPT-4 model in India through its Bing search engine before the company’s Deployment Safety Board (DSB) had evaluated it. While the model itself posed no major risk, Campbell stressed the importance of setting strong precedents. “We want to have good safety processes in place we know are being followed reliably,” she testified. Board governance under scrutiny The deployment of GPT-4 in India was one of the red flags that led OpenAI’s non-profit board to briefly fire CEO Sam Altman in November 2023. Tasha McCauley, a board member at the time, testified about concerns that Altman was not forthcoming enough for the board’s unusual structure to function effectively. She described a pattern of misleading behavior, including Altman lying to another board member about McCauley’s intention to remove a third board member, Helen Toner, who had published a white paper with implied criticism of OpenAI’s safety policies. McCauley also noted that Altman failed to inform the board about the decision to launch ChatGPT publicly, and that his disclosure of potential conflicts of interest was inadequate. “We are a non-profit board and our mandate was to be able to oversee the for-profit underneath us,” she told the court. “Our primary way to do that was being called into question. We did not have a high degree of confidence at all to trust that the information being conveyed to us allowed us to make decisions in an informed way.” When OpenAI’s staff rallied behind Altman and Microsoft worked to restore the status quo, the board reversed course, and the members opposed to Altman stepped down. This episode lies at the heart of Musk’s argument that the transformation of OpenAI from a research organization into one of the largest private companies in the world broke the implicit agreement among its founders. Expert testimony and broader implications David Schizer, a former dean of Columbia Law School who is serving as an expert witness for Musk’s team, echoed McCauley’s concerns. “OpenAI has emphasized that a key part of its mission is safety and they are going to prioritize safety over profits,” Schizer said. “Part of that is taking safety rules seriously, if something needs to be subject to safety review, it needs to happen. What matters is the process issue.” With AI already deeply embedded in for-profit companies, the implications extend far beyond a single lab. McCauley argued that the governance failures at OpenAI should be a reason to embrace stronger government regulation of advanced AI. “If it all comes down to one CEO making those decisions, and we have the public good at stake, that’s very suboptimal,” she said. Conclusion The Oakland hearing underscores a fundamental tension at OpenAI: the pressure to commercialize AI products versus the non-profit mission of ensuring safe AGI. As Musk’s lawsuit proceeds, the testimony from former employees and board members is providing an unusually detailed look at how internal safety processes and governance structures have evolved—or failed to evolve—alongside the company’s rapid growth. For regulators, investors, and the public, the case is becoming a critical test of whether corporate accountability can keep pace with AI’s accelerating capabilities. FAQs Q1: What is the central issue in Elon Musk’s lawsuit against OpenAI? The lawsuit argues that OpenAI’s shift from a non-profit research organization to a for-profit commercial entity violated its founding mission of developing AGI safely for the benefit of humanity. The court is examining whether this transformation broke implicit agreements among the founders. Q2: What specific safety failures were highlighted in the testimony? Former employee Rosie Campbell testified that the company’s Deployment Safety Board was bypassed when Microsoft deployed GPT-4 in India. She also noted that two key safety teams—the AGI readiness team and the Super Alignment team—were disbanded as the company became more product-focused. Q3: How does this case affect the broader AI industry? The case is being watched closely as a potential precedent for how AI companies balance safety and profit. Witnesses have called for stronger government regulation, arguing that relying on a single CEO to make decisions affecting public safety is “suboptimal.” The outcome could influence how other AI labs structure their governance and safety processes. This post Inside OpenAI’s safety crisis: Former employees testify in Musk lawsuit first appeared on BitcoinWorld .
7 May 2026, 19:02
Once the Reset Happens, Here’s How Much XRP You Need to Become Richer
Crypto advisor Paulatalkscrypto (@Paulatalksirh) posted a striking claim this week. She put a number on XRP’s potential, reminding the community that 5,000 XRP at $10 per token equals $50,000. That figure caused a conversation about how much XRP a person actually needs to hold before a major price shift changes everything. What the Data Shows The image attached tells a clear story about XRP distribution . Only 631 accounts hold 5,868,827 XRP or more. That represents just 0.01% of all XRP accounts. Move to the 1% threshold, and the minimum balance drops to 52,265 XRP. At the 10% level, 630,693 accounts hold at least 2,502 XRP. The data shows that XRP concentration is steep. The gap between the top 0.01% and the top 10% is enormous. Most holders sit far below the balances that would position them for life-changing returns at higher price points. Once the reset happens how many XRP will you need to hold to become essentially wealthier and rich in 2026 Imagine XRP at $10! If Ripple prevails, 5,000 XRP could be worth $50,000. You're sitting on a potential goldmine with XRP – the next big thing pic.twitter.com/6K6tsAwh8D — Paulatalkscrypto (@Paulatalksirh) May 5, 2026 The Reset Conversation Paulatalkscrypto also shared a video featuring a long-time XRP holder who raised the stakes considerably. He has held XRP since it traded around $0.07. He recalled a conversation he had years ago about what it would take to be considered wealthy once a major financial reset occurs. He stated that when XRP and the XRP Ledger carry “the bulk of all currency transfers throughout the world,” the average person would only need to hold about 10 XRP to reach millionaire status . He added that at that point, holding even 1 XRP would be “extremely rare,” reserved only for those with serious wealth. Ripple’s Success is Important Paulatalkscrypto’s post connects this wealth potential directly to Ripple. She believes that if Ripple succeeds, 5,000 XRP could be worth $50,000, which would put XRP at $10. Ripple has spent years building partnerships across the globe and acquiring licenses to move money internationally. XRP is at the center of this global network, and the company’s success could positively impact XRP’s price. What It All Points To The distribution data, the analyst’s post, and the video all point in the same direction. XRP holders who accumulate now, while the asset’s price remains accessible , position themselves ahead of a potential structural shift. The data shows that very few people hold significant amounts. That scarcity, combined with the possibility of mainstream institutional adoption, is what drives the conversation. 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 Once the Reset Happens, Here’s How Much XRP You Need to Become Richer appeared first on Times Tabloid .
7 May 2026, 17:22
Bitcoin could reach $1 million in five years says VanEck
🚀 $BTC could hit $1 million within 5 years, according to VanEck research head Matthew Sigel. He links the massive potential to adoption trends and institutional interest. Continue Reading: Bitcoin could reach $1 million in five years says VanEck The post Bitcoin could reach $1 million in five years says VanEck appeared first on COINTURK NEWS .
7 May 2026, 16:26
CoreWeave trades close to 2026 peak ahead of Q1 results
CoreWeave will present Q1 results after the markets close on Thursday. The company expects 100% revenue growth, but increasing net losses due to aggressive capital expenditures. CoreWeave prepares to report with a positive outlook, and its Q1 results may serve as a signal for the AI narrative. CRWV stocks are expected to trade with increased volatility, reflecting past performance during earnings season. The expectation is for a $1.97B to $2B in quarterly revenues, coinciding with the previous guidance and down from a projected $2.29B. Revenues are still up by around 100% year-on-year. CoreWeave prepares to gauge the effect of capex spending CRWV expects a loss of $0.85 to $0.89 per share, mostly due to the large-scale capital expenses for a full pivot to AI. CoreWeave abandoned Ethereum mining during the 2018 bear market, becoming one of the first mining companies to pivot to cloud services. Later, the company switched to AI data centers with cloud services. CoreWeave is still considered the model and the first mover of the AI pivot, starting much earlier than other crypto miners. In the past years, CoreWeave took up institutional debt and specialized in AI infrastructure financing. The company mostly taps the debt markets to finance its NVIDIA GPU clusters, accumulating $29.8B in debt. CoreWeave has an exclusive focus on GPU-based compute, meaning it is the go-to cloud service for AI startups that cannot get access to their own GPU clusters. The high-speed compute services may be key during the expected wave of agentic AI and other low-latency applications of LLM. CoreWeave also partners with Meta (Nasdaq: META), Microsoft (Nasdaq: MSFT), and is aggressively investing in data centers for the purposes of OpenAI, the main rival of Anthropic. CoreWeave has one completed and three planned data centers . It is precisely the access to GPU clusters that has turned CoreWeave into one of the key companies in the AI space. According to Zacks Research , CoreWeave is a ‘shovels’ company, offering the indispensable hardware component for growing LLM. How will CRWV shares move after the Q1 call? CRWV currently trades at $130.47, near its highest level for 2026. The shares trade with over 18% implied volatility , suggesting futures markets are pricing in higher volatility compared to the 20-day average. CRWV traded near its highest levels for 2026, but the shares expected volatility around the Q1 report. | Source: Yahoo Finance . CRWV has a relatively high short open interest as a percentage of the free float. A total of 14.5% of the free float shares are shorted, with 1.7 days to cover. While CRWV has a ‘hold’ recommendation from Zacks Research, the attempts to short suggest downward volatility, especially after the Q1 earnings call. CoreWeave is the bellwether in general sentiment for computation companies, setting the model of balancing its debt and real demand for its services. The performance of CoreWeave may serve as a gauge for companies with similar models. Former miners like Hut8 have also switched to offering GPU compute. Core Scientific (Nasdaq: CORZ) is also closely watched, as it prepares to host a 200MW data center for CoreWeave. Iris Energy (Nasdaq: IREN) has set out on its own, acquiring its own fleet of NVIDIA GPUs. IREN is the growth leader for the past five days, with over 33% in stock appreciation. Still letting the bank keep the best part? Watch our free video on being your own bank .
