hodler

21 Apr 2026, 17:41

New York Fintech, Prediction Market Giant Kalshi Eyes US Market for Crypto Perpetual Derivatives

Kalshi, the Commodity Futures Trading Commission (CFTC) regulated exchange known for its prediction markets, is reportedly preparing to launch crypto perpetual futures for the U.S. market. Key Takeaways: Kalshi plans to launch CFTC-regulated crypto perpetual futures for U.S. traders on April 21, 2026. The move targets a share of the derivatives market after Kalshi’s valuation

21 Apr 2026, 17:37

Bitcoin Inflows to Deposit Wallets Spike to Bear Market Levels, Raising Exhaustion Fears

More than 106,000 BTC flowed into Binance deposit addresses on April 21, with another roughly 130,000 BTC hitting OKX, volumes not seen since the tail end of the last bear market, according to on-chain analyst Darkfost. The timing is worth paying attention to, as Bitcoin has been grinding sideways for nearly three months now, and the data suggests the market may be running out of patience before it runs out of sellers. What the Exchange Inflows Signal For context on the numbers, Binance averages around 44,000 BTC in daily deposit-address inflows across the year, and OKX averages around 74,000, meaning Tuesday’s readings were more than double those baselines on both exchanges. Darkfost was clear about what these flows actually represent. When someone decides to sell on an exchange, their Bitcoin typically travels first to a deposit address before the platform sweeps it into its operational wallet. So the spike is not noise; it is a trail left by holders getting ready to sell. He also said that it shows that traders can’t decide whether to be hopeful about a new uptrend or scared of losing more money. But what makes this reading harder to interpret as simply bearish is what Darkfost said alongside it: “In this environment, even minor price fluctuations are enough to rapidly shift market sentiment from extreme fear to strong optimism, while the broader short-term trend remains unchanged.” He closed with the line that probably stuck with most people who read it: “Markets are not always broken by volatility. Sometimes they are exhausted by consolidation.” Looking at derivatives data from that same 24-hour period, it shows that more than 112,000 traders lost money, totaling about $277 million. The biggest loss was a $6.43 million Bitcoin position on Hyperliquid. Macro Pressure Affecting BTC The three-month range did not happen in a vacuum, with BTC essentially tracking geopolitical headlines for weeks. It ran from below $70,500 to $75,000 as ceasefire talks got going the week of April 14, pushed briefly to $76,000, then spent days bouncing between $73,500 and $75,600 before the Strait of Hormuz reopening gave it one last push higher. However, as CryptoPotato reported, the US and Iran resumed strikes against each other over the weekend after Iran once again closed the Strait of Hormuz. Bitcoin had briefly touched $78,400, its highest in ten weeks, after Trump made positive statements about peace talks, then gave most of it back after Iran denied those claims and the military exchanges picked back up. Right now, the asset is trading above $76,000, up more than 2% in the last seven days, per data from CoinGecko. The upticks are more pronounced across longer timeframes, with BTC gaining more than 11% over two weeks and 10% in the last 30 days. But it is still nearly 13% below its level from one year ago and sits close to 40% below its all-time high of over $126,000 achieved in October 2025. The post Bitcoin Inflows to Deposit Wallets Spike to Bear Market Levels, Raising Exhaustion Fears appeared first on CryptoPotato .

21 Apr 2026, 17:36

New York Sues Coinbase, Gemini Over Prediction Market Offerings

"Gemini and Coinbase’s so-called prediction markets are just illegal gambling operations," alleged New York AG Letitia James.

21 Apr 2026, 17:30

Clarifai Deletes 3 Million OkCupid Photos in Shocking Facial Recognition AI Data Scandal Following FTC Probe

BitcoinWorld Clarifai Deletes 3 Million OkCupid Photos in Shocking Facial Recognition AI Data Scandal Following FTC Probe In a landmark data privacy development, artificial intelligence platform Clarifai has deleted three million user photos obtained from dating app OkCupid to train facial recognition algorithms, following a Federal Trade Commission investigation that uncovered potential privacy policy violations spanning more than a decade. The deletion, confirmed through court documents reviewed by Reuters, represents a significant moment in the ongoing tension between AI development and user privacy rights. Clarifai OkCupid Facial Recognition Data Timeline Revealed The FTC investigation reveals a complex timeline beginning in 2014. According to court documents, Clarifai founder and CEO Matthew Zeiler emailed OkCupid co-founder Maxwell Krohn about accessing the dating platform’s data. “We’re collecting data now and just realized that OKCupid must have a HUGE amount of awesome data for this,” Zeiler wrote. The email correspondence suggests both companies recognized the value of OkCupid’s extensive user-generated content for AI training purposes. OkCupid, owned by Match Group, subsequently provided Clarifai with millions of user-uploaded photographs. The data transfer also included demographic information and location data. This exchange occurred despite OkCupid’s privacy policies, which should have prohibited such data sharing according to the FTC’s findings. The relationship between the companies extended beyond data sharing, as OkCupid executives had previously invested in Clarifai. FTC Investigation Uncovers Systemic Privacy Concerns The Federal Trade Commission initiated its investigation in 2019 following a New York Times article that detailed Clarifai’s use of OkCupid images. The AI company had developed technology capable of estimating age, sex, and race from facial analysis. This revelation triggered regulatory scrutiny that would continue for years. According to the FTC’s allegations, Match Group and OkCupid deliberately concealed the data-sharing arrangement from users. The commission further claimed the companies attempted to obstruct the investigation. These allegations highlight growing concerns about transparency in data practices within the technology sector. Regulatory Response and Settlement Terms The FTC and Match Group reached a settlement last month, though OkCupid and its parent company did not admit to allegations of deceiving users. The regulatory action resulted in specific prohibitions against future misconduct. OkCupid and Match Group are now “permanently prohibited from misrepresenting or assisting others in misrepresenting” their data collection and sharing practices. While the FTC cannot impose fines for first-time offenses of this nature, the settlement establishes important precedents for AI data sourcing. The agency’s action signals increased regulatory attention on how companies obtain training data for artificial intelligence systems, particularly when that data involves personal user information. AI Training Data Ethics and Industry Implications The Clarifai-OkCupid case raises fundamental questions about ethical AI development. Facial recognition technology requires vast datasets for training, but sourcing this data presents significant privacy challenges. Industry experts note several critical considerations: Informed Consent: Users must understand how their data will be used Transparency: Companies should disclose data-sharing partnerships Purpose Limitation: Data should only be used for specified, legitimate purposes Data Minimization: Companies should collect only necessary information The incident demonstrates how quickly ethical boundaries can blur when companies pursue AI advancement. Furthermore, it highlights the tension between innovation and regulation in fast-moving technology sectors. Broader Context of Facial Recognition Regulation This case emerges amid growing global scrutiny of facial recognition technology. Several jurisdictions have implemented or proposed restrictions on facial recognition use: Jurisdiction Regulatory Status Key Provisions European Union AI Act Implementation High-risk classification for most facial recognition uses California, USA AB 1215 (Temporary Ban) Three-year moratorium on police body camera facial recognition Portland, Oregon City Ordinance Bans private entity use of facial recognition in public spaces Illinois, USA Biometric Information Privacy Act Requires consent for biometric data collection The regulatory landscape continues evolving as policymakers balance innovation concerns with privacy protections. The Clarifai-OkCupid settlement contributes to this ongoing conversation by establishing clearer boundaries for data sourcing practices. Technical Aspects of Data Deletion and Model Retraining Clarifai’s response to the FTC investigation involved comprehensive technical measures. The company deleted not only the three million photographs but also any AI models trained using that data. This approach represents a significant undertaking in machine learning development. Retraining facial recognition models without problematic datasets requires substantial computational resources and time investment. The deletion process also raises questions about auditability—how regulators can verify complete data removal from complex AI systems. These technical challenges underscore the importance of proper data governance from the initial collection phase. User Privacy and Platform Responsibility Dating platforms like OkCupid collect particularly sensitive user information, including photographs, personal preferences, and location data. This case highlights the special responsibility these platforms bear in protecting user privacy. When users share intimate details about their lives and preferences, they reasonably expect platforms to honor stated privacy commitments. The incident also demonstrates the limitations of privacy policies as protective measures. Despite OkCupid’s policies theoretically prohibiting the data sharing that occurred, the transfer happened anyway. This reality suggests that policy language alone cannot guarantee privacy protection without robust enforcement mechanisms and corporate accountability. Future Implications for AI Development The Clarifai-OkCupid settlement will likely influence how AI companies approach training data acquisition. Several trends may emerge from this regulatory action: Increased due diligence in data sourcing partnerships More comprehensive documentation of data provenance Greater transparency about AI training methodologies Stronger internal governance for data ethics compliance Earlier engagement with regulatory bodies on data practices As artificial intelligence continues advancing, establishing ethical frameworks for development becomes increasingly urgent. This case provides concrete examples of both problematic practices and regulatory responses that can guide future industry standards. Conclusion The Clarifai OkCupid facial recognition data scandal represents a pivotal moment in AI ethics and data privacy regulation. The deletion of three million photographs and associated AI models following FTC investigation highlights growing regulatory scrutiny of training data practices. This case underscores the critical importance of transparent data sourcing, informed user consent, and ethical AI development frameworks. As facial recognition technology continues evolving, balancing innovation with privacy protection will remain an ongoing challenge requiring collaboration between companies, regulators, and users. FAQs Q1: What exactly did Clarifai do with OkCupid user photos? Clarifai used approximately three million OkCupid user photographs to train facial recognition artificial intelligence. The AI platform developed technology capable of estimating age, sex, and race from facial analysis based on this training data. Q2: Why was this data sharing problematic? The data transfer violated OkCupid’s own privacy policies, which should have prohibited such sharing. Users were not informed that their photographs would be used for AI training purposes, raising significant informed consent concerns. Q3: What consequences did OkCupid and Match Group face? The FTC settlement permanently prohibits OkCupid and Match Group from misrepresenting their data collection and sharing practices. While no fines were imposed for this first-time offense, the companies face ongoing regulatory scrutiny and potential penalties for future violations. Q4: How did the FTC discover this data sharing arrangement? The investigation began in 2019 after a New York Times article revealed Clarifai’s use of OkCupid images for facial recognition development. The FTC then examined the relationship between the companies, uncovering email correspondence and documentation about the data transfer. Q5: What does this mean for future AI development? This case establishes important precedents for ethical AI training data sourcing. Companies will likely face increased scrutiny regarding data provenance, user consent, and transparency in their AI development practices, potentially slowing some development while improving ethical standards. This post Clarifai Deletes 3 Million OkCupid Photos in Shocking Facial Recognition AI Data Scandal Following FTC Probe first appeared on BitcoinWorld .

21 Apr 2026, 17:28

Shiba Inu Price Eyes Breakout as Support Holds and Bullish Signals Build

Shiba Inu remains locked in a tight range as bearish pressure lingers across the broader trend. Price action shows continued consolidation, yet underlying signals point to a potential shift. Technical structure and on-chain activity now suggest conditions for a possible reversal are forming. Market watchers highlight growing momentum that could define the next major move. Descending Channel and Key Support Shape Outlook Shiba Inu trades at $0.000006058, holding within a defined range on the daily chart. The broader trend still points downward, with the token correcting sharply from previous highs. It remains down over 93% from its October 2021 peak of $0.0000885. It has also dropped 86% from the March 2024 high of $0.00004567. Analyst Celal Kucuker stated that a bullish technical setup could trigger a reversal. He explained that SHIB has traded inside a descending channel since March 2024. According to him, the upper boundary has repeatedly blocked upward attempts. Meanwhile, the lower boundary has acted as support during periods of weakness. Recent price action pushed SHIB close to the channel’s bottom. The token touched this level in early February after falling to $0.0000050. It has since recovered and now trades near a multi-year support trendline. Kucuker noted that a horizontal support level has also held firm since launch. This level marked bottoms during the 2021 correction and the 2023 bear market. He added that holding this support could build momentum for a decisive upward move. The structure, combined with strong community backing, continues to support recovery expectations. Shiba Inu Price Targets and On-Chain Data Signal Momentum Shift Kucuker projected an initial target above $0.000010, representing an 87% increase from current levels. He explained that this level aligns with the midpoint of the descending channel. A move toward this range would confirm early strength in price recovery. He further stated that SHIB could eventually reach $0.000070. This would mark a 1,060% increase and return the token to multi-year highs. SHIB last traded near this level in November 2021. On-chain data also supports the developing narrative. Open interest has risen by 7.4% over the past 24 hours. This increase suggests growing activity in futures markets. Analysts noted that such trends often precede price shifts driven by derivatives positioning. According to the exchange flow data adds another layer of insight. Around 507 billion SHIB tokens moved off exchanges into private wallets within 24 hours. This pattern indicates accumulation rather than distribution. Market participants appear to favor long-term holding over short-term selling. Together, technical structure and on-chain signals continue to shape expectations. The coming sessions may determine whether SHIB confirms a breakout or extends its consolidation phase.

21 Apr 2026, 17:16

Nium taps Coinbase to add USDC into global payments network

Nium integrates Coinbase’s infrastructure to enable USDC-based cross-border payments, allowing businesses to settle in fiat or stablecoins without relying on prefunded accounts.