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  • Qualcomm’s Agentic AI Vision Could Reshape Smartphones — But Raises Data Privacy Concerns

    Qualcomm’s Agentic AI Vision Could Reshape Smartphones — But Raises Data Privacy Concerns

    Qualcomm CEO Cristiano Amon recently outlined a future where smartphones evolve from simple command receivers into proactive AI agents capable of understanding user intent and completing tasks autonomously. Speaking at the Snapdragon Summit 2026 in Maui, Amon described the transition to an ‘agentic age,’ where artificial intelligence becomes the central driver of the mobile experience.

    “We are going from a phone-centric model to an agent-centric model. Going forward, agents will become the center of experience. We can finally see what an AI phone truly means,” Amon said.

    To support this vision, Qualcomm unveiled two new mobile platforms: the Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Gen 6 Extreme. These chips are designed to handle substantial AI workloads locally, reducing the need to offload every task to the cloud. This local processing could enable faster, more private interactions — but it also requires the phone to access more personal data, such as calendars, messages, and shopping details, to anticipate user needs.

    Amon acknowledged the importance of user permission and context, stating, “The permission to use will be very important. And, so is context. Because the phone is very personal and specific to you. Agentic AI will need your phone to do a lot more than just execute tasks for you.”

    The shift could fundamentally change how users interact with their devices. Instead of manually controlling every step, users might only need to approve key actions while the phone handles the rest. Qualcomm expects this agentic model to extend beyond smartphones to PCs, smart glasses, wearables, and cars, creating a seamless ecosystem of interconnected devices.

    As AI agents take on more responsibility, the balance between convenience and privacy becomes critical. Users will need clear visibility into what their devices access and when they are allowed to act. Transparent permission controls and user oversight will be just as important as AI performance in earning trust.

  • Viture Unveils Vonder AI Glasses: Voice-Powered Wearable with ChatGPT, Gemini, and Claude Support

    Viture Unveils Vonder AI Glasses: Voice-Powered Wearable with ChatGPT, Gemini, and Claude Support

    Viture has introduced the Vonder, a new pair of AI-powered smart glasses that prioritize voice interaction and privacy over cameras and displays. Designed to resemble conventional eyewear, the Vonder weighs under 30 grams and relies on microphones, speakers, and onboard processing to deliver a screen-free AI experience.

    Unlike many smart glasses on the market, the Vonder does not include a camera or display. Instead, it focuses on voice-based features such as note-taking, hands-free calling, and memory recall. Audio recording is activated only when the user prompts it, and a physical Meeting Mode switch with an LED indicator provides additional control. After recording, the original audio is deleted and converted into text and memories stored in the companion app.

    At the core of the Vonder is its Personal Memory Graph, an AI system that organizes captured conversations and voice interactions. Users can choose from multiple AI models through the app, including Google Gemini, Anthropic Claude, and OpenAI ChatGPT. This approach allows the glasses to provide useful context from accumulated memories rather than simply storing raw recordings.

    Customization is a key selling point: buyers can select different frame shapes and finishes, and the glasses support prescription, progressive, and transition lenses. In the US, pre-orders begin on September 28 at a starting price of USD 299, with premium acetate frames starting at USD 399. Shipments are expected from November. International customers can register interest now.

    Viture emphasizes data privacy, stating that user data is protected with financial-grade encryption and that the company does not sell advertising or user data. The Vonder aims to offer a discreet, everyday wearable that blends AI assistance with the look and feel of ordinary glasses.

  • Alibaba Unveils Zhenwu V900 AI Chip to Power Domestic AI Ecosystem and Massive Data Center Expansion

    Alibaba Unveils Zhenwu V900 AI Chip to Power Domestic AI Ecosystem and Massive Data Center Expansion

    Alibaba has taken a significant step in advancing China’s domestic AI capabilities with the unveiling of its latest artificial intelligence chip, the Zhenwu V900. Developed by Alibaba’s semiconductor unit T-Head, the new accelerator is designed to handle both AI training and inference tasks, marking a key milestone in the company’s push to build a full-stack AI ecosystem.

    According to Alibaba, the V900 delivers three times the performance of its predecessor, the Zhenwu M890 chip, which was launched in May. While the company did not provide independent benchmark results to support this claim, the V900 is scheduled to enter mass production and commercial release in the first quarter of 2027.

    Zhenwu V900 Specifications

    The V900 comes equipped with 216GB of memory and offers 1,200GB/s of chip-to-chip bandwidth. It also supports FP8 and FP4 precision formats, which are becoming increasingly critical for efficient AI inference and large-scale model workloads.

    Alibaba stated, “The chip can be connected into clusters containing as many as 500,000 accelerators. This architecture is designed to handle demanding AI workloads that require thousands of processors to work together.”

    The company is also integrating the V900 with its broader hardware stack, including networking and storage components, allowing Alibaba to control more of the infrastructure required to train and deploy large AI models. This strategy directly links Alibaba’s chip development with its AI model roadmap, as more powerful accelerators provide the computing capacity needed for increasingly large models.

    Alibaba Expands AI Infrastructure

    Alibaba is also planning a major expansion of its cloud infrastructure. CEO Eddie Wu stated, “Alibaba Cloud aims to increase its global data-center capacity to more than 20 gigawatts by 2032.”

    The V900 highlights Alibaba’s effort to develop chips, AI models, and cloud infrastructure as one integrated ecosystem. This initiative comes as Chinese technology companies accelerate domestic AI chip development amid restrictions on access to advanced foreign processors.

    The tech giant further explained that demand for AI computing is growing rapidly while supply constraints limit the pace of expansion. Alibaba also plans to bring AI supernodes into commercial operation this quarter.

  • Apple’s New Mac Mini M6 and Mac Studio M5 Models Hit India: Full Pricing and Specs

    Apple’s New Mac Mini M6 and Mac Studio M5 Models Hit India: Full Pricing and Specs

    Apple has officially begun selling its latest Mac mini and Mac Studio desktop computers in India, introducing new processors, boosted AI performance, and expanded memory configurations. The refreshed lineup includes the Mac mini with M6 and M5 Pro chips, while the Mac Studio now offers M5 Max and M5 Ultra options.

    Both desktops went on sale on September 22 and are available through Apple Store locations, Apple’s online store, the Apple Store app, and authorized resellers across India.

    Mac mini M6: Starting at ₹99,900

    The new Mac mini with the M6 chip starts at ₹99,900 in India, with education pricing beginning at ₹88,900. Apple is also offering a Mac mini powered by the M5 Pro, starting at ₹2,09,900.

    The M6-powered Mac mini packs a 12-core CPU, 12-core GPU, and a dual 16-core Neural Engine. According to Apple, it delivers up to 40% faster CPU performance, twice the graphics performance, and up to four times faster AI performance compared to the previous-generation M4 model.

    Memory starts at 16GB of unified memory and can be configured up to 32GB, with memory bandwidth reaching 170GB/s. Connectivity has also been upgraded to Wi-Fi 7, Bluetooth 6, and improved 2.5Gb Ethernet, with an optional 10Gb Ethernet port.

    Mac Studio with M5 Max and M5 Ultra

    For professional users, the new Mac Studio starts at ₹2,79,900 with the M5 Max chip. The M5 Ultra version begins at ₹6,29,900. Education pricing is set at ₹2,56,900 and ₹5,84,900, respectively.

    The M5 Max configuration features an 18-core CPU, up to a 40-core GPU, and support for up to 128GB of unified memory. The M5 Ultra scales even further with up to a 36-core CPU, 80-core GPU, and 512GB of unified memory, delivering up to 1.2TB/s of memory bandwidth.

    Apple says the Mac Studio offers up to 4.3 times faster AI performance and up to 1.8 times faster graphics performance compared with specified previous-generation systems.

    Both new Macs emphasize on-device artificial intelligence, making them strong choices for creative professionals, developers, and AI-focused workloads.

  • CLOSEDQUORUM: The AI-Powered Malware That Uses Multiple Models to Choose Its Next Move

    CLOSEDQUORUM: The AI-Powered Malware That Uses Multiple Models to Choose Its Next Move

    Cybersecurity researchers have uncovered a new Windows malware strain that leverages multiple artificial intelligence models to guide its own actions during an attack. Named CLOSEDQUORUM by researchers at Cisco Talos, the malware represents a significant evolution in how cybercriminals may incorporate AI into malicious software.

    How CLOSEDQUORUM Works

    Unlike traditional malware, which follows a fixed set of instructions from its developers, CLOSEDQUORUM can communicate with up to four AI systems: Google Gemini, DeepSeek, Qwen, and Mistral. Researchers describe this arrangement as a kind of “hive mind,” where the malware can seek input from multiple models rather than depending on a single AI service.

    If one AI service becomes unavailable, the others can continue to provide responses, allowing the malware to keep operating without a human operator selecting its next action. According to Cisco Talos, CLOSEDQUORUM can choose from a predefined set of activities, including stealing login credentials and cryptocurrency-related information. However, researchers have not yet identified the malware’s creator or confirmed that it has been used in real-world attacks.

    A Growing Category of AI-Integrated Malware

    Cisco Talos has established the Cognitive Artifact Intelligence Research Network (CAIRN) to identify and study malware that incorporates AI. The researchers say AI-enabled programs often leave behind identifiable traces that can help security teams distinguish them from conventional malware.

    When Cisco Talos first searched for AI-powered malware, they found roughly nine named families and several proof-of-concept samples. After developing CAIRN, the team identified about 20 additional examples within a few months, suggesting this technique is quickly becoming more common.

    AI Moves Beyond a Tool for Attackers

    The discovery of CLOSEDQUORUM points to a shift in how AI is being used in cybercrime. Previously, discussions focused on attackers using AI to generate phishing emails, write malicious code, or automate tasks. Now, AI is being embedded directly into malware itself, providing real-time guidance during an operation.

    Cisco Talos researcher Matt Olney said attackers are beginning to “operationalize” AI, potentially allowing malicious campaigns to adapt to different systems and expand their reach. For security teams, this means monitoring AI-related indicators will likely become an increasingly important part of malware detection and analysis.

  • WhatsApp Begins Testing Third-Party AI Agents on iPhone—With a Privacy Catch

    WhatsApp Begins Testing Third-Party AI Agents on iPhone—With a Privacy Catch

    WhatsApp expands AI agent testing to iPhone

    WhatsApp is taking another step toward integrating third-party artificial intelligence into its messaging app. The latest beta release for iOS — version 26.37.10.70 — lets select iPhone users in limited countries connect external AI agents directly inside chats. The rollout follows earlier testing on Android, with WABetaInfo reporting the update on September 22. WhatsApp also confirmed that the feature supports independent agents built by outside developers.

    How the new AI agent feature works

    Eligible users can create up to five third-party agents and interact with them through dedicated one-to-one conversations. Setting up an agent begins in the WhatsApp settings menu, where users assign a name and profile photo. WhatsApp then generates an API key that links the agent to its external hosting service, allowing the agent to respond in the chat.

    According to WABetaInfo, the API key connects WhatsApp with the external service running the agent. Users can reset the key if needed, and the key should be kept private. WhatsApp may adjust the five-agent limit in the future.

    What agents can and cannot access

    Third-party agents are deliberately isolated from most WhatsApp data. They can only see information shared directly with them in their designated conversation. Agents cannot access other chats, contacts, or media stored in WhatsApp, and group chats and communities are not included in the current setup.

    Privacy limits: No end-to-end encryption for agent chats

    The most important caveat is privacy. While regular personal chats remain protected by end-to-end encryption, WhatsApp explicitly says communications with third-party agents are not end-to-end encrypted.

    Messages sent to an agent travel through a Meta service that manages the conversation for the provider. That means the agent provider can receive, process, and store messages in unencrypted form. The provider is also responsible for its own data practices, including how it handles requests for access, deletion, correction, or data portability.

    What users should consider before trying AI agents

    This feature adds new functionality without extending WhatsApp’s standard encryption protections. Anyone thinking about connecting a third-party AI agent should review the provider’s privacy terms carefully before sharing sensitive information.

    WhatsApp has not announced a broader release date for the feature. The iOS rollout is still limited, so the final experience could change before it becomes widely available.

  • Ethereum Approaches $2,800 Resistance as Spot ETF Inflows Reach $575.9M

    Ethereum Approaches $2,800 Resistance as Spot ETF Inflows Reach $575.9M

    Ethereum is hovering near $2,760 after a seven-day gain of roughly 14%, with the price pressing against resistance around $2,786 but unable to secure a sustained move above $2,800. The latest push comes as US spot Ethereum ETFs record a third consecutive day of net inflows and BitMine confirms another weekly ETH purchase.

    Spot Ethereum ETFs Extend Inflow Streak

    US spot Ethereum ETFs brought in $270 million in net inflows on September 21, according to Farside Investors. BlackRock’s ETHA led with $110.1 million, while Fidelity’s FETH added $73 million. That followed $143.7 million in inflows on September 18, which snapped a three-day outflow streak.

    Farside later recorded $162.2 million in net inflows for September 22, extending the streak to three sessions and lifting the combined total to $575.9 million. Some earlier reports citing two days and roughly $413.8 million captured the streak before the latest session was counted.

    The fund data confirms demand for ETF shares during those sessions, but it does not reveal how much of ETH’s price gain came from that demand. Ethereum rose alongside the broader crypto market, and flow data alone cannot isolate a single cause for the move.

    BitMine Adds More ETH to Its Treasury

    BitMine confirmed on September 21 that it purchased 27,562 ETH during the previous week. The company held 5,983,940 ETH as of September 20, representing about 4.9% of reported supply, and has said it aims to own 5%. BitMine also reported staking 5,067,309 ETH, roughly 85% of its holdings.

    Shortly after the update, Lookonchain flagged a 12,500 ETH withdrawal from Kraken linked to BitMine. The transfer may signal another addition, but BitMine’s confirmed balance predates the withdrawal. The company has not included those 12,500 coins in its cited holdings update, so its reported total remains 5.98 million ETH.

    BitMine chairman Tom Lee expects institutions to increase crypto exposure in the fourth quarter of 2026, saying such buying could add meaningful upside to gains since June 30. The comment reflects an expectation rather than confirmed future demand.

    Ethereum Faces Key Resistance Below $2,800

    The daily chart shows initial resistance at $2,786, followed by $2,894. ETH has held above $2,700 after pulling back from the first level. Nearby support sits at $2,626 and $2,544, with the 20-day exponential moving average around $2,537. The relative strength index near 71 points to strong recent momentum but also raises the risk of short-term pullbacks.

    One technical analysis identified $2,775 to $2,825 as a possible consolidation zone, with $3,050 as an initial upside target. The same analysis suggested a drop below $2,560 to $2,565 would raise doubts about the market structure. These are conditional readings, not guaranteed price levels.

    Ethereum also spent time below $2,800 during its 2025 rally. That earlier pattern adds context, but it does not set a timetable for 2026. For now, steady ETF inflows and BitMine’s confirmed purchase accompany a price test that remains unresolved: ETH has approached $2,800 without sustaining a move above it.

  • Ethereum Classic Surges 7.49% as Broader Crypto Rally Boosts ETC Trading Volume

    Ethereum Classic Surges 7.49% as Broader Crypto Rally Boosts ETC Trading Volume

    Ethereum Classic (ETC) jumped 7.49% to USD 9.18 as a widespread cryptocurrency market rally drove demand and trading activity across digital assets. The token traded between USD 8.56 and USD 9.29 after opening near USD 8.52. Meanwhile, Bitcoin gained 6.39% to USD 86,334, and the market saw approximately USD 800 million in short liquidations.

    The latest advance extended ETC’s seven-day gain to 26.93%. The cryptocurrency has also risen 18.48% this month and 30.19% over the past 90 days. Despite the rebound, ETC remains 50.73% lower over one year and trades 94.44% below its record high of USD 165.15 from May 7, 2021.

    Broad Crypto Rally Drives ETC Higher

    The wider cryptocurrency market provided the clearest catalyst behind ETC’s latest move. Bitcoin advanced 6.39% during the session, while XRP rose 9.79%. At the same time, the market recorded approximately USD 800 million in short liquidations. Such liquidations occur when traders betting on lower prices must close positions by buying assets back, which can accelerate an existing rally.

    As major cryptocurrencies gained, speculative activity also spread into smaller assets such as Ethereum Classic. ETC currently has a market capitalization of about USD 1.45 billion. Its smaller size means larger percentage moves can occur when market-wide trading activity rises sharply. Still, the available information contains no ETC-specific announcement that explains the price increase. There were no cited network upgrades, exchange listings, ETF developments, or other project events behind the move.

    ETC Trading Volume Surges as Momentum Builds

    Trading activity strengthened alongside the price increase. Daily ETC volume climbed to USD 0.0967 million, representing a 116.16% increase over its 30-day average. Its volume-to-market-cap ratio also reached 6.66%, compared to the average of 3.08%. Therefore, the latest price increase came with stronger market participation rather than minimal trading activity. Rising volume accompanied ETC’s push toward the session high of USD 9.29.

    The token also trades above its tracked moving averages and above the peaks of its recent 90-day range. This places USD 9.29 at the center of the next short-term price test. Even so, the rally follows a sharp rebound from depressed levels. ETC remains deeply below its historical peak and still records a substantial year-over-year decline.

    The available data does not include ETC-specific funding rates, open interest, or perpetual futures liquidations. As a result, the role of ETC derivatives cannot be measured from the supplied figures. Instead, the reported USD 800 million liquidation figure applies to the wider crypto market. The current evidence therefore links part of ETC’s momentum to sector-wide short covering rather than ETC-specific futures activity.

    USD 9.29 Becomes ETC’s Immediate Price Test

    The session high at USD 9.29 now forms the nearest reference point for ETC traders. The asset reached the level after beginning the period near USD 8.52. Under a short-term strategy, a daily close above USD 9.29 would mark a breakout signal, with a stop level near USD 8.84 and a possible profit-taking area at USD 10.50. A trailing stop could adjust exposure as the price changes.

    For a medium-term approach, the USD 8.03 to USD 8.52 area is identified as a potential pullback zone. A daily close below USD 7.75 would invalidate this setup. Meanwhile, the same framework keeps USD 9.29 as the initial target before any possible extension toward USD 10.50. The setup therefore depends heavily on whether ETC can preserve its recent momentum.

    The long-term strategy remains tied to Ethereum Classic’s proof-of-work structure and fixed-supply thesis. It proposes staggered purchases below USD 8.00 while recognizing the asset’s steep annual decline. A conservative approach calls for staying out of the market because ETC carries annualized volatility of 61.6%. This volatility remains relevant as the asset trades after a rapid multi-day advance. USD 9.29 now marks the immediate price level to watch as traders assess whether momentum can continue.

  • XRP Jumps 4% to $1.60 as Binance Reserves Hit Three-Month Peak

    XRP Jumps 4% to $1.60 as Binance Reserves Hit Three-Month Peak

    XRP has rallied 4.4% over the past 24 hours to trade near $1.60, outpacing Bitcoin and the broader cryptocurrency market. The move comes as trading volume jumped to $7.67 billion and Binance XRP reserves reached their highest level in three months.

    Altcoin Strength Fuels XRP Rally

    While Bitcoin gained just 0.05% and the overall crypto market rose 0.56%, XRP climbed 4.40% in the same period. The token also gained 24.52% over the past seven days, breaking out of a multi-week consolidation range.

    CoinMarketCap’s Altcoin Season Index rose 54.55% over the past week to 52, signaling broader strength among altcoins relative to Bitcoin. However, the index remains below the 75 threshold that officially marks an “altcoin season.”

    XRP’s daily trading volume surged 8.57% to $7.67 billion, according to CoinMarketCap live data. Prices may vary slightly across exchanges as trading continues.

    Analyst Sets $10 XRP Target

    Crypto commentator Ash Crypto posted on X that he is “aiming for USD 10” for XRP, calling the current market the start of the “biggest bull run in crypto history.” His post also projected targets of $250,000 for Bitcoin, $10,000 for Ethereum, and $1,000 for Solana.

    No timeframe was provided for these targets. For XRP to reach $10 from $1.60, it would require a 525% increase, far above the token’s immediate resistance levels.

    Key Support and Resistance Levels

    Traders are currently monitoring $1.55 as support and $1.70 as resistance. A daily close above $1.65 could bring $1.70 into play, while a drop below $1.55 would shift focus to $1.45. These levels outline possible trading scenarios rather than guaranteed outcomes.

    Binance Reserves at Three-Month High

    XRP reserves on Binance have risen to approximately 2.68 billion tokens, the highest level since June. According to a CryptoQuant analysis by Arab Chain, higher reserves mean more XRP is available within the exchange’s trading system, but this alone does not indicate selling intent.

    A separate CryptoQuant analysis found that average daily XRP deposits on Binance ran 663% above their quarterly baseline in recent sessions. Withdrawals also increased, leaving reserves only about 0.22% above that baseline. This suggests heavy two-way trading activity rather than a sustained buildup.

    XRP’s next move will likely depend on whether buying pressure continues as the price tests nearby resistance. Holding above $1.55 keeps $1.70 in focus, while losing that support would weaken the recent advance.

  • Bitcoin Bull Score Hits 80 as BTC Reclaims Key $83K Moving Average

    Bitcoin Bull Score Hits 80 as BTC Reclaims Key $83K Moving Average

    Bitcoin has climbed back above USD 80,000 with stronger market fundamentals than it showed during a similar price move in May. According to CryptoQuant, its Bull Score Index now stands at 80, a reading the firm describes as “Extra Bullish.”

    Bull Score Index Jumps to 80

    CryptoQuant Head of Research Julio Moreno said the firm’s Bull Score Index has reached 80, signaling a marked improvement in market conditions. When Bitcoin last traded near the same price in May, the index sat at 50, which corresponds to a “Neutral” reading.

    The Bull Score Index combines multiple market and on-chain signals into a single broader assessment of Bitcoin’s health. The jump from 50 to 80 highlights a clear shift in the underlying fundamentals between the two periods.

    Technical Reclaim and Price Action

    Bitcoin is up 14% over the past week and recently touched a seven-month high near USD 87,000. The rally has pushed the price above major long-term technical levels. CryptoQuant founder Ki Young Ju noted that Bitcoin has reclaimed its 365-day moving average near USD 83,000 and moved above USD 84,000.

    That long-term average is closely watched by market participants as a broad indicator of cycle conditions. Ju described the level as a key dividing line between bearish and bullish phases.

    On-Chain Metrics Reveal Stronger Holder Position

    Ju highlighted the market-value-to-realized-value (MVRV) ratio as another encouraging signal. MVRV compares Bitcoin’s market capitalization with its realized capitalization, which values each coin at the price when it last moved on-chain.

    Importantly, Ju said MVRV never fell below one during the current cycle, even during deep drawdowns. Previous bear-market bottoms saw more severe losses and stronger signs of capitulation among holders.

    Another model, the Profit and Loss (PnL) Index, also paints a healthier picture. That index combines MVRV, net unrealized profit and loss, and other profitability metrics. According to Ju, the PnL Index now shows less extreme cycle tops and bottoms, with bottom formations occurring at progressively higher levels of aggregate holder profitability. The 365-day moving average of the PnL Index has reached what he called a “meaningful inflection” point.

    ETF Inflows and Institutional Activity

    The improved sentiment extends beyond on-chain data. US spot Bitcoin exchange-traded funds recorded USD 998.95 million in inflows on Monday, their strongest single-day total in 11 months. Additionally, Strategy Inc. resumed buying Bitcoin after a pause of nearly a month.

    Regulatory momentum has also contributed to the positive backdrop. The US Securities and Exchange Commission has advanced its efforts to develop a regulatory framework for cryptocurrencies, which has helped lift overall market sentiment.

    Cycle Expectations Shift as Market Matures

    Despite the bullish signals, CryptoQuant’s Ju warns that Bitcoin’s growing size changes how much fresh capital is needed to drive similar percentage gains. He estimates that the current cycle has seen about USD 697 billion in realized-cap growth accompanying a 689% Bitcoin gain. In contrast, Bitcoin’s early years saw roughly USD 2.7 billion generate gains of over 55,000%.

    Ju now expects the current bull cycle to produce gains of about three to five times rather than another move above ten times. He also anticipates that any subsequent bear market will be milder than previous downturns, citing Bitcoin’s larger valuation and increased institutional ownership, which reduce the price impact of each new dollar entering the market.

    Looking Ahead

    Bitcoin’s Bull Score Index has risen to 80 as the asset reclaims its 365-day moving average near USD 83,000. Strong ETF inflows, positive MVRV readings, and higher holder profitability all distinguish the current setup from May. Yet the central question remains whether improving on-chain conditions can sustain the rally as Bitcoin’s larger valuation demands ever-greater capital inflows.