hodler

8 May 2026, 07:02

Top Trader to Jake Claver: XRP to $1200+ Is Not Happening By the End of 2026

The XRP community is familiar with bold price targets, as well-known figures across social media regularly attach eye-catching numbers to the asset. XRP has always attracted this kind of attention, but when the predictions reach a certain level of ambition, respected voices in the space tend to respond. That is exactly what happened recently when PharaohX33, a well-known presence in the XRP community, addressed the latest round of forecasts from Jake Claver. The Prediction That Prompted a Response Influencer Jake Claver, known for making high-conviction XRP calls, set a price target of $1,200 to $2,500 for XRP by the end of 2026 . He has made aggressive predictions before, and critics have challenged him publicly on multiple occasions. He has not backed down, and his latest forecast drew responses from across the community, including one from PharaohX33. Jake is a cool guy But lets be realistic… $XRP to $1200+ is not happening by the end of 2026. Let's get back over $2.00 first. One step at a time. I would LOVE to be wrong, but I won't be. https://t.co/MsmWpPtGVS — 𓂀 (@PharaohX33) May 6, 2026 Keeping Predictions Grounded Although PharaohX33 did not personally dismiss Jake Claver, he acknowledged him positively before shifting the focus to the numbers. His position was straightforward: a $1,200+ target for XRP by the end of 2026 is not realistic. What PharaohX33 emphasized was a return to basics. He pointed to $2 as the more immediate priority , urging the community to focus on recovering that level before entertaining four-digit projections. His message was one of measured progress. Take it one step at a time. He also stated he would love for the prediction to come true, but expressed confidence that it would not. While the majority of the community believes that XRP can grow significantly, PharaohX33 suggests focusing on realistic targets. Focusing On Realistic Levels PharaohX33’s response to this situation did more than challenge a number. It offered a perspective that many in the community may find grounding during a period when conviction-heavy forecasts are constant . Claver’s prediction, even at a fraction of his stated range, would represent significant upside. A move to $150 to $250 would still mark a dramatic shift from XRP’s current price of $1.42. PharaohX33’s point is that extraordinary targets require extraordinary steps, and XRP has not taken such a leap. The Bigger Picture on XRP Forecasts Bold predictions are not unique to XRP, but the asset generates them more frequently than most. The community continues to debate fair value , potential use cases, and what a realistic ceiling looks like in the current cycle. PharaohX33’s response adds a grounded perspective to the ongoing debate, focusing attention on immediate targets before looking toward triple and quadruple-digit levels. 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 Top Trader to Jake Claver: XRP to $1200+ Is Not Happening By the End of 2026 appeared first on Times Tabloid .

8 May 2026, 05:00

Bitcoin slips to $79,000, DOGE leads majors losses as negative funding rates set 10-year record

Bitcoin pulled back from this week's $81,500 high after U.S. forces fired on Iranian targets, while crypto futures markets logged their 67th straight day of negative funding rates, the longest streak in a decade per K33 Research.

8 May 2026, 04:00

Hyperliquid Q1 Report—The ‘House Of All Finance’ Is Nearer Than Ever, Here’s Why

On Thursday, the Hyperliquid Research Collective (HRC) released the first-quarter (Q1) blockchain report on Hyperliquid (HYPE). The report highlights strong progress in several core areas, as well as weaker performance in others. The document also points to a broader narrative for the platform, arguing that Q1 brought Hyperliquid closer to its “House of All Finance” vision—even as wider market conditions made the quarter tough by historical standards. Hyperliquid Records 70% Outperformance Vs Bitcoin According to the report, Hyperliquid generated $215 million in gross revenue during Q1. That figure was paired with a buyback of 4.9 million HYPE tokens, underscoring the firm’s emphasis on token value support. Despite the declines seen in some operational metrics, the HYPE token delivered standout results, climbing 444% across the quarter. The report says this allowed HYPE to outperform Bitcoin (BTC) by 70% over the same period. Related Reading: VanEck Forecast: Bitcoin Could Climb To $1,000,000 By 2031, Research Head Says At the same time, not every measure moved higher. The report notes that holder revenue fell 33%, perpetual (perp) volume dropped 15%, and average open interest compressed 23%. The report attributes these changes to the environment the market was in, describing Q1 as the worst quarter for the market since 2018. In that context, Bitcoin fell 26%, and total crypto market capitalization recorded outflows of more than $900 billion, which the report frames as a major drag on activity and income. The Hyperliquid report also breaks down how the quarter unfolded. Hyperliquid’s quarter low was $1.16 billion in January, marking a 20% decline compared with the end of 2025. It says that February and March helped stabilize the picture, with March emerging as the strongest month for locked liquidity. Specifically, total value locked (TVL) rose from $1.4 billion to a peak of $1.8 billion, before settling by quarter-end at $1.69 billion. “House Of All Finance’ Gains Traction Activity on the Hyperliquid side remained an important bright spot. The report shows HIP-3 deployer volume grew sharply—from nearly $25 billion in January to $68 billion in March—and finished the quarter at 33% of daily perp volume. Looking at broader DEX activity, Hyperliquid reported that total HyperEVM DEX volume declined 40% quarter-over-quarter (QoQ), landing at $9.2 billion compared with $15 billion recorded during the fourth quarter of last year. Beyond the numbers, the Q1 Hyperliquid report emphasizes that this quarter felt different in terms of the company’s strategic positioning. HRC says Q1 was the moment when Hyperliquid’s “House of All Finance” thesis became “undeniable.” Related Reading: Bitcoin At $82K, But Metrics Don’t Smile: Network Activity Down, Spot Demand Negative—What’s Next? The Hyperliquid Research Collective report ties that claim to developments that landed around the same time, including a benchmark update: S&P Dow Jones Indices, through an officially licensed benchmark, signed with Tradexyz, identifying the Hyperliquid HIP-3 deployer dominance as a key part of the ecosystem. The report also points to institutional and investment momentum, noting that Grayscale, VanEck, and Bitwise submitted filings for HYPE exchange-traded funds (ETFs). The report further highlights expanding institutional support, including the addition of Ripple Prime support to Hyperliquid for institutional clients. At the time of writing, Hyperliquid’s native token, HYPE, was trading at $42, having recorded losses of 1.7% over the previous 24 hours. Nevertheless, it is one of the best performers of the second quarter so far, having gained 17% over the past thirty days. Featured image created with OpenArt, chart from TradingView.com

7 May 2026, 21:55

AI free-trial abuse is becoming a costly problem for startups, Stripe says

AI startups are increasingly struggling with a type of fraud that barely existed a few years ago: automated users signing up in bulk to drain expensive computing resources before companies can stop them. Stripe Chief Executive Patrick Collison said the problem has become widespread among AI firms using the company’s payment infrastructure. Speaking on the TBPN podcast, Collison said roughly one in six new accounts created on some AI platforms now appears to be fraudulent. The abuse centers on inference tokens, the computing credits required to run AI models. Fraudsters create fake accounts, consume the free allocations offered to new users, then disappear without paying. In some cases, access is reportedly resold through online channels that distribute low-cost AI credentials. Fortune reported details from Stripe executives on May 7. Strip’s Collison warns AI companies are facing a new type of fraud The issue is hitting startups particularly hard because AI products carry real usage costs from the moment someone begins interacting with a model. Unlike traditional software companies, AI firms cannot onboard millions of free users without paying for the underlying compute power needed to process prompts and generate responses. Emily Sands, Stripe’s Head of Data and AI, said some attackers are operating at speeds that make manual fraud reviews ineffective. “One of the things that’s really scary about that is that these attackers can burn inference costs, can rack up massive usage bills that they never intend to pay, and they can do that very, very quickly because they are consuming tokens at machine speed,” Sands told Fortune. According to Sands, abuse involving AI free trials has more than doubled over the past six months. Researchers tracking AI security vulnerabilities say the attacks often exploit weak credential controls rather than sophisticated hacking techniques. Many AI systems still rely on broad API permissions that allow automated agents to access large portions of backend infrastructure once credentials are obtained. A March 2026 report from security research firm Grantex found that most leading open-source AI agent projects lacked granular identity separation between agents, making it difficult to isolate compromised accounts without rotating entire system credentials. The broader market for stolen credentials is also expanding. Cybersecurity company SpyCloud said it recovered 18.1 million exposed API keys and machine credentials from criminal marketplaces in 2025, including millions tied to AI-related services. Some startups are beginning to change how they handle user acquisition Some startups are already changing how they handle user acquisition because of the rising costs. Industry executives say companies that once relied heavily on free trials are now shortening trial periods, imposing stricter rate limits, or requiring payment details earlier in the signup process. Stripe said it has expanded its Radar fraud-detection system to evaluate AI account registrations using indicators such as device fingerprints, IP reputation, and email-domain history. The company said the system blocked more than 3.3 million potentially risky signups across eight AI companies during the past month. The company is also exploring payment systems designed to reduce unpaid usage altogether. Stripe has backed a blockchain-based project called Tempo that would allow AI services to charge customers continuously as compute resources are consumed. Crypto exchange Coinbase is developing a similar system known as x402 , focused on real-time payments between applications and APIs. Supporters of the approach believe instant settlement could reduce fraud exposure by removing the delay between resource consumption and payment collection. Even so, security analysts say the problem reflects a broader tension inside the AI industry: startups are racing to grow as quickly as possible while many of the underlying security and identity systems remain immature. If you're reading this, you’re already ahead. Stay there with our newsletter .

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