Crypto news digest: Ripple CEO reaffirmed XRP's role; SHIB slides to 2023 lows; BTC sees brief spike after US jobs report.
At a panel discussion at Consensus Hong Kong 2026 featuring Sharplink Gaming Chairman Joe Lubin and CEO Joseph Chalom, the two executives outlined how digital asset treasuries are evolving into a distinct institutional strategy.
Decentralized finance is a fast-paced environment, and individuals that follow technical development tend to discover the largest opportunities prior to making an appearance on the mainstream stage. Whereas most projects tend to rely on the hype of social media, there is a silent move towards protocols to be developed that establish real infrastructure at first. One particular new crypto project has already managed to overcome one of the significant milestones, demonstrating its usefulness and technical safety to an increasingly large world audience. It is picking up quickly as time to be an early participant starts to run out. The viewers of the charts have observed a gradual rise that is an indication of in-depth faith in the future of the platform. Mutuum Finance (MUTM) Mutuum Finance (MUTM) is a new crypto protocol that is meant to transform how people access liquidity and generate interest. It eliminates the banking institution through automated smart contracts. The essence of the system is a dual-market lending system to meet various financial requirements. The former is the Peer-to-Contract (P2C) market. This is designed in a manner that is fast and efficient. As an illustration, a user is able to deposit USDT into a common pool. This pool then will have the borrowing by others, in real time where the depositor gains interest. The second one is the Peer-to-peer (P2P) market. This is geared towards tailor-made offers. To provide an example, a lender and a borrower are free to make their own specific interest rates and terms on a loan on a niche asset. This protocol has already secured more than $20.5 million in investments. Better still the size of the community, which has shot to over 19,000 individual holders, is more impressive. Such a massive base is vital in that it guarantees that the protocol will be deep in liquidity and will have users by the time the protocol is launched. The trust has also been increased by the recent introduction of the V1 protocol on the Sepolia testnet, as it is possible to view the code in action before the mainnet. MUTM Growth and Supply Dynamics The MUTM token has long-term stability economics. There are a total number of 4 billion tokens in the project. Of this, 1.82 billion (45.5%) have been earmarked to be given out at the presale community level at an early stage. There are more than 840 million tokens which are sold so far, almost a half of all the allocated tokens have been sold. MUTM has taken a systematic course of appreciation since its inception. It began at an extremely low price of $0.01, and the price has already increased by 300% at this point. It implies that by this stage, the participants in the first round are already in a position to increase by 500%, within the time frame when the token will be officially launched at the price of $0.06. MUTM is at Phase 7, with the price being fixed at $0.04. The second stage will be the price increase by approximately 20%. This step up mechanism is imperative as it sets up a definite advantage to the quick acting people. Each sell-out brings the project one step further to its launch in the eyes of the public, so the present point of entry is one of the last opportunities to have tokens before the market swamps it. Security and Global Trust The last element of the puzzle of any serious DeFi project is security. This has been a priority area by Mutuum Finance who has gone ahead to complete major independent reviews. CertiK has given the project a high trust rating of 90/100 token scan, which proves that its token contract is reliable. Moreover, the team concluded an entire audit with Halborn Security . Halborn is a global company that has secured some of the largest companies in crypto. Their check-up went through all sections of the lending rationality and liquidation systems. A Bug Bounty of up to $50,000 is underway in order to further secure it. This would motivate professional developers to discover and disclose any small bugs before the majornet release. This kind of transparency is not common and it provides the investors with the tranquility that they require. Despite the first weeks of 2026, investors are in a hurry. Mutuum Finance is not simply a token; it is a financial infrastructure that proves it works. It is cutting an enormous niche in the DeFi arena through the integration of the safety of the Ethereum network and a versatile dual-market approach. The project is now in the ideal position to take its next big crypto jump as the V1 protocol testnet is live and the supply is steadily decreasing. For more information about Mutuum Finance (MUTM) visit the links below: Website: https://www.mutuum.com Linktree: https://linktr.ee/mutuumfinance
While ETH’s price action remains weak, rising institutional investor inflows and surging network activity suggest that Ether is building a base for a possible rally to $2,400.
Strateji made up 93% of January's corporate Bitcoin acquisitions, bolstering its market dominance. Hybrid digital credit products are gaining traction among leading crypto-focused firms. Continue Reading: Strateji Dominates Corporate Bitcoin Buying as Competition Wanes The post Strateji Dominates Corporate Bitcoin Buying as Competition Wanes appeared first on COINTURK NEWS .
A new stablecoin is being introduced through a joint effort by Securitize, Hamilton Lane, STBL, and OKX Ventures .
BitcoinWorld Spotify AI Development Breakthrough: How Claude Code Transformed Top Engineers into Strategic Architects In a stunning revelation that signals a fundamental shift in software development, Spotify announced during its fourth-quarter earnings call that its most effective developers have not written a single line of code since December 2024. This dramatic transformation stems from the company’s implementation of advanced AI systems, particularly through its internal “Honk” platform powered by Claude Code. The Stockholm-based streaming giant shared this groundbreaking development on February 5, 2025, highlighting how generative AI has fundamentally redefined engineering roles and accelerated product innovation at unprecedented speeds. Spotify AI Development Reaches Critical Tipping Point Spotify co-CEO Gustav Söderström made the remarkable statement during the company’s earnings presentation, explaining that top engineers now focus exclusively on strategic architecture and problem-solving while AI handles implementation. This transition represents what industry analysts describe as the most significant productivity leap in software development history. Consequently, Spotify deployed over 50 new features and enhancements throughout 2025, including AI-powered Prompted Playlists, Page Match for audiobooks, and About This Song functionality. The company’s development velocity has increased dramatically since implementing these AI systems. Industry experts immediately recognized the implications of Spotify’s announcement. According to Dr. Elena Rodriguez, Director of AI Research at Stanford University, “This represents the maturation of generative AI in professional environments. When companies like Spotify report that their best engineers have transitioned from coding to higher-level strategic work, we’re witnessing a fundamental restructuring of technical roles across industries.” The transformation aligns with broader trends in software development where AI-assisted coding tools have gained substantial traction among professional developers. Claude Code System Revolutionizes Development Workflow Spotify’s internal “Honk” platform, integrated with Claude Code, enables engineers to accomplish tasks that previously required extensive manual coding. The system supports remote, real-time code deployment using generative AI, fundamentally changing how development occurs. Söderström provided a concrete example during the earnings call: “An engineer at Spotify on their morning commute from Slack on their cell phone can tell Claude to fix a bug or add a new feature to the iOS app. Once Claude finishes that work, the engineer then gets a new version of the app, pushed to them on Slack on their phone, so that he can then merge it to production, all before they even arrive at the office.” The technical implementation involves several innovative components: Real-time collaboration interface that connects directly with development environments Automated testing integration that validates AI-generated code before deployment Version control synchronization that maintains proper development workflows Security validation layers that ensure code quality and compliance standards This system has reduced development cycles from weeks to hours for many features. Spotify reported that bug resolution times decreased by 78% since implementing the Claude Code integration. Additionally, feature deployment frequency increased by 340% compared to traditional development methods. The company credits this acceleration with enabling rapid experimentation and faster response to user feedback. Comparative Analysis: Traditional vs. AI-Assisted Development Development Phase Traditional Approach Spotify’s AI-Assisted Approach Time Reduction Feature Planning 2-3 days 4-6 hours 85% Initial Implementation 1-2 weeks 8-24 hours 90% Testing & QA 3-5 days 6-12 hours 80% Deployment 1-2 days 15-30 minutes 95% Strategic Advantages of Spotify’s Proprietary Dataset Beyond the technical implementation, Spotify emphasized its unique competitive advantage in building proprietary datasets that other large language models cannot easily replicate. Söderström explained that music-related queries often lack factual answers, creating opportunities for specialized training data. “For instance, if you asked what workout music is, you’d get different answers from different people, sometimes based on their geography. Americans tend to prefer hip-hop overall, though millions prefer death metal. And while a number of Europeans would work out to EDM, many Scandinavians like heavy metal,” he noted during the earnings call. This nuanced understanding of musical preferences represents a significant barrier to entry for competitors. Spotify’s dataset includes: Cultural context mapping across 184 markets Temporal preference patterns based on time of day and season Activity-based listening correlations for different user scenarios Social listening dynamics that influence music discovery The company has invested substantially in this data infrastructure since 2022, creating what Söderström described as “a dataset that we are building right now that no one else is really building. It does not exist at this scale. And we see it improving every time we retrain our models.” This proprietary advantage enables more sophisticated AI applications that competitors cannot easily duplicate using publicly available training data. Industry Impact and Future Implications Spotify’s announcement has immediate implications for the broader technology sector. Companies across software development, media, and entertainment are now reevaluating their AI adoption strategies. The success of Spotify’s implementation demonstrates that generative AI can move beyond experimental phases into core business operations. Furthermore, the transformation of engineering roles from code implementation to strategic architecture suggests significant workforce evolution across technical fields. Several key trends have emerged from Spotify’s experience: Role specialization acceleration as engineers focus on architecture and problem-solving Development democratization allowing faster prototyping and experimentation Quality improvement through standardized AI-generated code patterns Global collaboration enhancement with real-time remote development capabilities Industry analysts predict that similar transformations will occur across software companies within 12-18 months. According to recent surveys by GitHub and Stack Overflow, approximately 68% of professional developers now use AI-assisted coding tools regularly, with adoption rates increasing by 25% quarterly. The economic implications are substantial, with potential productivity gains estimated at $1.5 trillion across the global software industry by 2027. Expert Perspectives on the Development Shift Technology leaders have responded to Spotify’s announcement with both enthusiasm and caution. “This represents the natural evolution of software development,” commented Maria Chen, CTO of a major cloud services provider. “Just as compilers and integrated development environments transformed programming in previous decades, AI-assisted coding represents the next logical step. However, successful implementation requires careful attention to security, testing, and architectural oversight.” Educational institutions are already adapting their computer science curricula. Stanford University announced plans to integrate AI-assisted development modules into its core computer science program starting Fall 2025. “We need to prepare students for the reality of modern software development,” explained Professor David Wilson, chair of Stanford’s Computer Science Department. “This means emphasizing architectural thinking, problem decomposition, and AI collaboration skills alongside traditional programming fundamentals.” Ethical Considerations and Quality Assurance Spotify addressed several important considerations during its earnings call, particularly regarding AI-generated music and content moderation. The company explained that it allows artists and labels to indicate in a track’s metadata how the song was created while actively policing the platform for spam and low-quality content. This balanced approach acknowledges both creative possibilities and potential risks associated with generative AI in creative fields. The company has implemented several safeguards: Transparency requirements for AI-generated content Quality thresholds that maintain platform standards Human oversight layers for critical development decisions Continuous monitoring systems that detect anomalies in AI-generated code These measures address concerns about job displacement while emphasizing augmentation rather than replacement. Spotify reported that engineering headcount has remained stable during the AI implementation, with roles evolving toward more strategic functions. Employee satisfaction surveys indicate that engineers appreciate the reduction in repetitive coding tasks and increased focus on creative problem-solving. Conclusion Spotify’s revelation that its best developers have not written code since December 2024 marks a watershed moment in software development history. The successful integration of Claude Code through the company’s Honk platform demonstrates that generative AI has reached production-ready maturity for complex development environments. This Spotify AI development transformation has accelerated feature deployment, enhanced product quality, and fundamentally redefined engineering roles. As the company continues to leverage its proprietary datasets and refine its AI systems, the implications extend far beyond music streaming into the broader technology landscape. The transition from manual coding to strategic architecture represents not just a productivity improvement but a fundamental evolution in how software gets created and maintained in the AI era. FAQs Q1: What exactly did Spotify announce about its developers and AI? Spotify announced during its Q4 2025 earnings call that its most effective developers have not written any code since December 2024, instead focusing on strategic architecture while AI systems handle implementation through the company’s Claude Code integration. Q2: How does Spotify’s “Honk” platform work with Claude Code? The Honk platform enables remote, real-time code deployment using generative AI. Engineers can request features or bug fixes through Slack on mobile devices, receive AI-generated code, test the implementation, and deploy to production—all before reaching the office. Q3: What competitive advantage does Spotify have in AI development? Spotify possesses unique proprietary datasets about musical preferences that other LLMs cannot easily replicate. This includes cultural, temporal, and activity-based listening patterns that enable more sophisticated AI applications than those trained on publicly available data. Q4: How has development velocity changed at Spotify with AI assistance? Development cycles have decreased from weeks to hours for many features, with bug resolution times down 78% and feature deployment frequency increased by 340%. The company shipped over 50 new features in 2025 alone. Q5: What are the implications for software developers across the industry? Spotify’s experience suggests that developer roles will increasingly shift from manual coding to strategic architecture, problem decomposition, and AI system oversight. This represents an evolution rather than elimination of engineering positions, with emphasis on higher-level thinking and creative problem-solving. This post Spotify AI Development Breakthrough: How Claude Code Transformed Top Engineers into Strategic Architects first appeared on BitcoinWorld .
Wrapped Bitcoin will soon move between Ethereum and Solana through a new bridge powered by Hyperlane. The integration creates a direct path for Bitcoin-backed liquidity to enter Solana’s fast-growing ecosystem. Consequently, developers and traders gain a standardized route to deploy WBTC across chains. The move arrives as Solana trades inside a tight technical range, adding another catalyst to watch. Hyperlane Connects WBTC to Solana Open-source interoperability network Hyperlane will power the expansion through its Nexus Bridge. The infrastructure enables users to transfer native WBTC between Ethereum and Solana without relying on fragmented routes. Moreover, the bridge introduces a canonical method to move the asset into Solana’s DeFi markets. Wrapped Bitcoin launched in 2019 as the first ERC-20 token backed one-to-one by Bitcoin. It allows BTC holders to access decentralized finance on chains that do not support native Bitcoin transfers. Besides Ethereum, WBTC already circulates across multiple networks, reflecting sustained demand for tokenized Bitcoin exposure. However, the asset faced scrutiny in 2024 after BitGo shifted to a multi-jurisdictional custody structure with BiT Global. That restructuring prompted several platforms to reassess their exposure. Additionally, competition intensified when a rival tokenized Bitcoin product entered the market. Despite those challenges, WBTC remains one of the largest Bitcoin representations on-chain. Bitcoin Liquidity Meets Solana Speed The bridge positions Solana as a new venue for Bitcoin-based capital. Significantly, Solana’s high throughput and lower transaction costs may attract traders seeking efficient BTC liquidity. Consequently, decentralized exchanges and lending platforms on Solana could see deeper liquidity pools. This development also aligns with broader trends in cross-chain interoperability. Projects increasingly prioritize seamless capital movement rather than isolated ecosystems. Hence, Hyperlane’s integration strengthens Solana’s appeal to Bitcoin-focused investors. SOL Price Holds Range as Momentum Builds Meanwhile, Solana trades at $78.19, reflecting a 0.66% daily decline and an 8.43% weekly drop . The token records nearly $3.9 billion in 24-hour volume. With 570 million SOL in circulation, the network commands a market cap above $44 billion. According to Umair Crypto, SOL maintains a tight structure between $77 and $90. Price compresses within that band while momentum indicators attempt to break higher. Consequently, traders monitor the $85 level as a near-term pivot. A sustained move above $85 could open a path toward $100. However, bulls must reclaim $90 and convert it into support. Otherwise, upside attempts may remain temporary deviations. Failure to hold $77 could push SOL toward sub-$73 liquidity zones. Moreover, unstable volume structure adds uncertainty to the range. For now, range conditions dominate until a confirmed breakout reshapes the trend.
BitcoinWorld USD/JPY Plummets: Japan Election Sparks Yen Surge as Intervention Fears Loom TOKYO, March 2025 – The USD/JPY currency pair experienced significant downward pressure this week, sliding to multi-month lows as Japan’s recent election results bolstered the Yen’s position while raising substantial intervention concerns among global forex traders. Market analysts observed the pair dropping below the psychologically important 145.00 level, marking its steepest weekly decline since early 2024. This movement reflects complex interactions between political developments, monetary policy expectations, and international economic pressures that continue to shape currency valuations across Asian trading sessions. USD/JPY Technical Breakdown and Market Reaction Forex markets witnessed substantial volatility following Japan’s parliamentary elections. The USD/JPY pair declined approximately 2.3% during the initial 48-hour post-election period. Technical analysis reveals the currency pair broke through several key support levels that had held firm throughout most of 2024. Market participants responded to the political developments by adjusting their positions significantly. Consequently, trading volumes surged to nearly 150% of their 30-day average as institutional investors recalibrated their exposure to Japanese assets. Several factors contributed to this pronounced market movement. First, election outcomes suggested potential shifts in Japan’s economic policy direction. Second, international investors reassessed their risk appetite regarding Japanese government bonds. Third, changing expectations about the Bank of Japan’s monetary policy timeline influenced currency valuations. Market data indicates that options positioning shifted dramatically, with put options on USD/JPY increasing substantially in both volume and open interest. Technical Levels and Support Breakdown Support Level Previous Status Current Status Significance 148.50 Strong Support Broken 2024 Low 147.20 Moderate Support Broken 50-day MA 145.80 Psychological Level Broken Round Number 144.50 Next Support Testing 200-day MA Japan Election Results and Their Economic Implications Japan’s parliamentary elections produced outcomes that financial markets interpreted as Yen-positive. The ruling coalition maintained its majority but lost significant ground to opposition parties advocating for more assertive economic policies. This political shift suggests potential changes to Japan’s approach to several key economic areas. Market analysts immediately identified several implications from the election results that directly affected currency valuations. Political developments created expectations for potential policy adjustments in several areas. First, fiscal stimulus measures might undergo reconsideration. Second, structural reform implementation could accelerate. Third, Japan’s approach to international trade agreements might evolve. Fourth, energy policy direction could shift toward greater self-sufficiency. These factors collectively influenced investor sentiment toward Japanese assets and the Yen’s relative value. The election results particularly affected expectations regarding Japan’s monetary policy normalization timeline. Market participants now anticipate that political pressure might encourage the Bank of Japan to adjust its yield curve control framework more aggressively. Additionally, speculation increased about potential interest rate adjustments occurring sooner than previously projected. These changing expectations created immediate impacts on currency markets as investors repositioned their portfolios accordingly. Intervention Risks and Central Bank Dynamics Currency intervention concerns intensified significantly following the USD/JPY decline. Japan’s Ministry of Finance historically intervenes when Yen movements become excessively volatile or threaten economic stability. Current market conditions present several factors that increase intervention probabilities. First, the speed of the Yen’s appreciation raises concerns about disruptive market functioning. Second, export competitiveness considerations become more pressing with stronger currency valuations. Third, imported inflation dynamics shift with currency strength. Financial authorities monitor specific thresholds that might trigger intervention actions. Market analysts identify several key levels that could prompt official responses. The 140.00 level represents a particularly important psychological barrier. Additionally, three-month volatility measures exceeding 12% often attract official attention. Furthermore, speculative positioning extremes frequently precede intervention considerations. Market participants now carefully watch for verbal interventions from Japanese officials, which typically precede actual market operations. International coordination represents another crucial factor in intervention considerations. Japanese authorities typically consult with G7 counterparts before undertaking significant currency operations. Current global economic conditions create complex dynamics for such coordination. The United States faces its own currency policy challenges while managing inflation concerns. European central banks balance growth objectives with price stability mandates. These international considerations add layers of complexity to Japan’s intervention decision-making process. Historical Intervention Context Japan’s currency intervention history provides important context for current market conditions. Authorities last intervened in currency markets during 2022, when they spent approximately $60 billion to support the Yen. Previous intervention episodes reveal several consistent patterns. First, interventions typically occur after substantial unilateral movements. Second, verbal warnings usually precede actual market operations. Third, effectiveness varies depending on accompanying monetary policy signals. Fourth, international reaction significantly influences long-term outcomes. Global Economic Factors Influencing USD/JPY International economic developments simultaneously affect the USD/JPY currency pair alongside domestic Japanese factors. United States economic data releases created mixed signals for Dollar strength during the reporting period. Federal Reserve policy communications suggested continued caution regarding interest rate adjustments. Consequently, Dollar index movements exhibited heightened sensitivity to inflation data and employment figures. These international developments interacted with Japanese domestic factors to produce the observed currency movements. Several global economic trends particularly influence the USD/JPY relationship. First, interest rate differentials between the United States and Japan remain substantial despite narrowing expectations. Second, relative economic growth projections affect capital flow directions. Third, geopolitical risk perceptions influence safe-haven currency flows. Fourth, commodity price movements, particularly energy costs, create different inflationary pressures across economies. These interconnected factors create complex dynamics that currency traders must navigate continuously. International capital flows provide additional context for currency movements. Japanese investors continue adjusting their foreign asset allocations based on yield considerations and currency hedge costs. Meanwhile, foreign investors reassess their Japanese equity and bond exposures amid changing policy expectations. These capital flow dynamics directly influence currency supply and demand conditions. Additionally, corporate hedging activities increase during periods of heightened volatility, further affecting market liquidity and price discovery mechanisms. Market Participant Perspectives and Forward Expectations Financial institution analysts offered varied perspectives on the USD/JPY outlook following recent developments. Major bank research departments published updated forecasts reflecting the new political and economic landscape. Consensus expectations suggest continued Yen strength in the near term, though intervention risks create substantial uncertainty. Most analysts emphasize the importance of monitoring several key indicators moving forward. Market participants identified several crucial factors that will determine future USD/JPY direction. First, Bank of Japan policy communications will receive heightened scrutiny. Second, Japanese economic data releases, particularly inflation figures, will influence policy expectations. Third, Ministry of Finance statements regarding currency levels will guide intervention expectations. Fourth, international economic developments will continue affecting relative currency valuations. These factors collectively create a complex forecasting environment with multiple potential outcomes. Options market pricing reveals interesting insights about market expectations. Risk reversals shifted significantly toward Yen appreciation expectations. Implied volatility term structure steepened at the front end, indicating near-term uncertainty. Option skew measurements suggest asymmetric concerns about further Yen strength versus Dollar recovery. These derivatives market signals provide valuable information about professional trader positioning and sentiment that complements spot market analysis. Conclusion The USD/JPY currency pair faces substantial pressures from multiple directions as Japan’s election results support Yen strength while intervention risks create additional market complexities. Political developments have altered expectations about Japan’s economic policy direction and monetary normalization timeline. Consequently, currency markets experienced significant volatility with the USD/JPY pair sliding to multi-month lows. Intervention concerns remain elevated as authorities balance domestic economic considerations with international coordination requirements. Market participants must navigate this complex landscape while monitoring evolving political, economic, and policy developments that will continue influencing currency valuations throughout 2025. FAQs Q1: Why did the USD/JPY pair decline following Japan’s election? The USD/JPY declined because election results suggested potential shifts in Japan’s economic policies that markets interpreted as Yen-positive. These included expectations of accelerated monetary policy normalization and more assertive economic reforms, which increased demand for the Japanese currency. Q2: What levels might trigger Japanese currency intervention? Japanese authorities might consider intervention if the USD/JPY approaches the 140.00 level, if volatility becomes excessive (typically above 12% on three-month measures), or if movements appear disorderly and threaten economic stability. Verbal warnings usually precede actual market operations. Q3: How do election results affect Bank of Japan policy? Election results can create political pressure on the Bank of Japan to adjust its monetary policy timeline. The recent outcomes suggested potential acceleration of yield curve control adjustments and earlier interest rate normalization than previously anticipated, which strengthened the Yen. Q4: What global factors influence USD/JPY movements? USD/JPY responds to interest rate differentials between the US and Japan, relative economic growth prospects, geopolitical risk perceptions, commodity price movements (especially energy), and capital flows between the two economies. Federal Reserve policy and US economic data remain particularly important. Q5: How might this affect international investors in Japanese assets? Yen appreciation affects foreign investors through currency translation effects on Japanese asset returns. Stronger Yen reduces Dollar-denominated returns from Japanese stocks and bonds but may increase purchasing power for additional investments. Currency hedging costs and strategies require reassessment during such movements. This post USD/JPY Plummets: Japan Election Sparks Yen Surge as Intervention Fears Loom first appeared on BitcoinWorld .
Tens of thousands of people have downloaded what they believed were useful AI tools for their browsers, only to give hackers a direct path into their most private online activity, including emails. According to LayerX, over 260,000 Chrome users installed at least 30 malicious browser extensions masquerading as AI helpers. These claimed features, like chat support, email drafting, and content summaries, but in reality, they were quietly siphoning data in the background. Trusted AI name s us ed as cover The timing was not random. With people eagerly adopting AI tools for both work and personal use, attackers seized on that excitement to slip in under the radar. The bogus extensions claimed ties to familiar AI services such as ChatGPT, Claude, Gemini, and Grok, brands that inspire instant recognition and confidence. Although they went by different names, displayed varied logos, and carried distinct descriptions, all 30 extensions were fundamentally identical beneath the surface. They ran the same underlying code, requested the same broad permissions, and funneled data to the same concealed servers. LayerX researchers described the approach as “extension spraying”, flooding the store with near-identical variants to evade detection and removal by Chrome Web Store moderators. The strategy paid off: several even earned “featured” placement, boosting their apparent legitimacy and helping rack up more installations. What made these extensions particularly insidious was their method of operation. Instead of performing any genuine AI processing locally on the user’s device, they pulled in hidden full-screen overlays hosted on attacker-controlled servers, one confirmed domain being tapnetic.pro. This setup allowed the operators to alter the extension’s behavior on the fly, without ever submitting updates through Google’s review process. Users had no way to spot the shifts. Once active, the extensions could extract text, page titles, and other elements from any site a person visited, including protected pages that required logins, such as workplace portals or personal accounts, and relay everything to remote servers. Gmail users in the crosshairs Fifteen of the 30 extensions zeroed in on Gmail users specifically. LayerX dubbed this grou p th e “Gmail integration cluster.” Marketed under separate names and pitched for different uses, all 1 5 sh ared the exact same code targeting Gmail. It injected scripts directly into Gmail’s interface, repeatedly grabbing the text of any open conversations visible on screen. In simpler terms, full email content, including drafts and entire threads, could be pulled from Gmail and shipped off to the attackers’ servers. The report added that using Gmail’s built-in AI tools, such as smart replies or message summaries, sometimes triggered even greater capture of content, sending it beyond Google’s ecosystem. Thi s fi ts into a broader and worsening pattern. LayerX pointed out that only a month prior, they exposed 16 other extensions designed to steal session tokens from ChatGPT accounts, impacting over 900,000 users. In another case, two AI sidebar extensions leaked chat histories from DeepSeek and ChatGPT, affecting an additional 900,000 installs. With Chrome boasting roughly 3 billion users globally and Gmail serving 2 billion, the browser’s extension ecosystem makes an especially tempting target for this kind of operation. Anyone who is worried they’ve been hit can check LayerX’s published list of the malicious extensions. Simply head to “chrome://extensions” in your browser to inspect installed items and uninstall anything questionable. Enabling two-step verification on accounts is another smart ste p ri ght now. Zargarov delivered a blunt caution: “As generative AI continues to gain popularity, defenders should expect similar campaigns to proliferate.” Security professionals emphasize that the safest route is relying on AI features already integrated into trusted apps and platforms, rather than rolling the dice on unfamiliar third-party extensions. The smartest crypto minds already read our newsletter. Want in? Join them .