Justin Bieber has revealed plans for a SKYLRK phone on August 18, 2026, seeking builders with working projects. The singer wants to expand SKYLRK into consumer technology through an existing hardware partnership. Bieber shared the request on X, inviting developers, hardware teams and companies to present ready smartphone concepts. His post directs interested builders to Phone@SKYLRK.com, suggesting a faster route into smartphone development.Bieber wrote, “I wanna make a SKYLRK phone. if you've already been building something special and it's ready to go… show me.” The message does not confirm an actual SKYLRK smartphone or reveal any launch schedule. Bieber also has not disclosed specifications, pricing, software plans or potential manufacturing partners.The approach suggests SKYLRK could enter phones without building an entire hardware operation internally. An existing prototype could give the brand a starting point for development and production.SKYLRK already has connections with consumer technology through its phone accessories. The brand also continues expanding beyond apparel with lifestyle products and technology-focused releases.A smartphone would still require major work across processors, displays, cameras, batteries and connectivity. Software development, network support, manufacturing and long-term updates would also require experienced technology partners.The move comes as SKYLRK builds a broader lifestyle identity around Bieber’s name. Recent brand activity has included pop-up stores, footwear, apparel and audio products.For now, the SKYLRK phone remains a public concept rather than a confirmed product. The next step depends on whether a suitable hardware team answers Bieber’s call.Also Read: India Smartphone Shipments Rise Despite Price Hikes in Q2 2026Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Your Charger Could Be a CameraTiny cameras disguised inside everyday objects are becoming part of the broader home-security conversation. Charger cameras can combine a familiar power adapter with video recording capabilities. Their compact design can make them less obvious than conventional security cameras. That convenience also raises important privacy questions.Discreet DesignCharger cameras are designed to resemble ordinary power adapters. Their familiar appearance can make them visually less noticeable than traditional cameras. This makes them potentially useful for discreet monitoring. However, people should always consider consent, privacy and applicable laws before using hidden cameras.Home MonitoringA charger camera can provide a view of an indoor area while occupying the space of a normal adapter. Some products advertise motion detection and video recording capabilities. This can make them attractive for basic monitoring. They are generally better suited to specific indoor areas than broad outdoor surveillance.Motion DetectionMany compact security cameras include motion-detection features that can trigger recording when movement is detected. This can reduce unnecessary footage and make important events easier to review. Some models may also send alerts through connected systems. Feature quality varies significantly between products.Video RecordingCharger cameras can record video for later review, depending on the model and storage system. Some use local memory, while others may connect to network-based storage. Buyers should check resolution, storage limits and recording duration. These factors determine how useful the camera will actually be.Security & PrivacyA hidden camera can create serious privacy concerns when people are recorded without their knowledge. Laws governing surveillance and consent differ by location. Users should avoid private spaces where recording would violate expectations of privacy. Responsible installation matters just as much as technical capability.The Future of Home SecurityMiniaturized cameras show how security technology is becoming increasingly embedded in everyday objects. They can offer convenient monitoring, but discreet surveillance demands careful use. Strong passwords, secure storage and clear consent practices are essential. The smartest security setup protects both property and people's privacy.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Cloud gaming shifts demanding game rendering from devices to remote servers.Higher bandwidth supports better resolutions, frame rates and streaming quality.Low latency, stable connections and minimal packet loss improve responsiveness.Cloud gaming is changing the way people play demanding PC and console titles. Instead of relying entirely on a local gaming PC or console to render a game, cloud gaming services run the title on remote servers and stream the resulting video to the player’s device.That shift changes the hardware equation. A powerful graphics card can improve traditional gaming performance, but it cannot eliminate delays caused by a poor internet connection. For cloud gaming, bandwidth, latency, jitter, and connection stability can directly determine how responsive a game feels.Cloud Gaming Moves Heavy Processing to Remote ServersIn a standard gaming system, the CPU and GPU in a personal computer or console are responsible for rendering the game’s image.Cloud gaming transfers most of that work to the hardware in the data center. Cloud gaming platforms such as NVIDIA GeForce NOW enable gamers to stream PC games to their devices without rendering them locally. Currently, NVIDIA offers more than 1,500 games via the GeForce NOW service.That implies that even a simple machine can play resource-intensive games in the cloud, as long as the computer has sufficient processing power to handle video streams and an adequate network connection.The compromise is quite obvious: the game will no longer rely on the user’s GPU but will depend heavily on the network.Download Speed Matters, But There is a LimitCloud gaming continuously streams game frames to the player. That requires considerably more bandwidth than conventional online multiplayer gaming, where only gameplay data needs to travel between the player and server.NVIDIA’s GeForce NOW requirements provide a useful reference. The service requires at least 15 Mbps for 720p at 60 fps and 25 Mbps for 1080p at 60 fps. For higher-resolution and higher-frame-rate streaming, NVIDIA lists requirements of 35 Mbps for 1600p at 120 fps and 45 Mbps for 4K at 120 fps.Those figures show why internet speed becomes part of the gaming setup. A connection that struggles to maintain the required bandwidth can lead to reduced image quality, buffering, stuttering, or interruptions.However, simply upgrading to the fastest broadband plan available does not automatically solve cloud gaming problems.Latency Can Matter More Than Raw SpeedLatency, commonly measured by ping, is the time it takes for data to travel between the player’s device and the remote server. In cloud gaming, every button press or mouse movement must reach the server, and the resulting frame must be returned to the player.That creates an additional delay that does not exist to the same extent when a game runs locally.NVIDIA requires less than 80ms of latency from an NVIDIA data center for GeForce NOW. For the best experience, it recommends latency below 40ms.The difference can be particularly noticeable in competitive games. However, delays can arise if the network spends too much time transferring input and receiving feedback as frames.Thus, a 500 Mbps network that experiences high latency can be even less effective for cloud gaming than lower-speed connections with low latency.Also Read: How to Play Google Doodle Games? Guide to Google's Hidden GamesJitter and Packet Loss Cause InstabilityOther aspects of network performance matter. Jitter means the amount of latency that users experience varies from moment to moment.While a consistent network that guarantees stable ping times will be more responsive than one that experiences high and then low values at unpredictable times, NVIDIA states that jitter must be considered and tested when troubleshooting latency. The third problem associated with the gaming experience is called packet loss.It occurs when certain packets are lost resulting from network instability, despite good performance on speed tests.Why Ethernet Can Make a DifferenceThe connection between the gaming device and home router also matters. NVIDIA recommends a hardwired Ethernet connection for GeForce NOW, while a 5GHz Wi-Fi connection can provide a good alternative.A wired connection can reduce some of the instability associated with wireless interference and congestion. That becomes particularly useful when several devices in the same household are streaming video, downloading files, or using bandwidth-intensive applications.NVIDIA also lists routers designed to support cloud gaming features such as quality-of-service profiles, which can help prioritize gaming traffic and improve streaming performance.Also Read: Microsoft May Turn to Activision for Future Halo GamesHardware Still Plays a RoleCloud gaming does not make local hardware irrelevant. The device still needs enough processing capability, memory, and graphics support to decode the incoming stream.For Windows PCs, NVIDIA lists a 64-bit version of Windows 10 or later, a dual-core x86 or x64 CPU running at 2.0 GHz or faster, 4GB of system memory, and a GPU supporting DirectX 11 or later among its GeForce NOW hardware requirements.But once those requirements are met, upgrading to a substantially more powerful GPU may not solve network-related lag.Cloud gaming shifts performance demands from local hardware to internet infrastructure. Understanding bandwidth, latency, jitter and packet loss helps gamers choose suitable connections, reduce lag, improve responsiveness and avoid unnecessary hardware upgrades that cannot fix network-related problems.Why this Matters The Real Priority for Cloud GamersCloud gaming effectively turns the internet connection into another piece of gaming hardware. Bandwidth determines whether the device can receive the stream at the desired quality, while latency determines how quickly inputs and responses travel between the player and the cloud.A stable connection, low latency, minimal jitter, and limited packet loss can therefore matter more than simply paying for the highest advertised download speed.The lesson for gamers is simple: if you are considering upgrading your laptop or adding a more powerful GPU for cloud gaming, make sure you check your connection first. A good network connection to the server will give you better response times than spending money on a device upgrade that won’t be used at all.FAQs1. What is cloud gaming latency?Cloud gaming latency is the delay between your input and the game server's response, affecting responsiveness and the overall gameplay experience.2. How much internet speed does cloud gaming need?NVIDIA recommends at least 15 Mbps for 720p at 60 fps and 25 Mbps for 1080p at 60 fps.3. Is internet speed more important than gaming hardware?For cloud gaming, yes. Remote servers handle rendering, making bandwidth, latency and connection stability more important than powerful local hardware.4. What latency is good for cloud gaming?NVIDIA recommends latency below 40ms for the best GeForce NOW experience, while latency under 80ms meets its requirement.5. Does Wi-Fi affect cloud gaming performance?Yes. Wireless interference and congestion can increase instability. NVIDIA recommends Ethernet or a 5GHz Wi-Fi connection for better performance.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The crypto market has seen a surge of interest lately, with investors looking for coins backed by real numbers rather than promises. This article rounds up four names that fit the profile.Established names like BNB and Solana continue posting strong usage figures across their networks, while NEAR Protocol is drawing attention for its work on AI and cross-chain infrastructure. Alongside them, a newer project called BlockDAG has been building out a fast-growing ecosystem of its own, from a live stablecoin to a busy casino and sportsbook.Together, these four projects offer very different entry points and risk profiles for anyone weighing the top crypto to buy right now. Each one is worth a closer look before deciding where to put money to work.1. BlockDAG: The High-Utility Blockchain to Watch A stablecoin is now live in beta. A casino and sportsbook has taken in more than $200 million in wagers. A network is running at 7,000 transactions per second. An AI product is tied to a $500 million jump in valuation. That is the run BlockDAG has put together in just the past few weeks, and the stablecoin is the latest piece tying it all together. Holders can now mint BDUSD against BDAG collateral, pay fees in BDAG, and track the entire process on-chain from start to finish.The recent AI launch also stands out, since it adds a working layer on top of a network already built to handle payments and smart contracts through its DAG-based structure.Plus, buying in now unlocks huge return potential, as new coins are priced at $0.0000017, allowing for huge bulk buying: $100 for 5 million BDAG, up to $5,000 for 250 million. And there’s no vesting or bonus codes attached, keeping everything straightforward.Looking ahead, there’s still more to come, including BlockDAGX.io, a full exchange expected to launch with spot trading, futures trading, and dedicated Apple and Google apps. A Super App is also in the works, meant to combine mining, claiming, staking, trading, storage, gaming, transfers, payment cards, and everyday spending into a single place.Stack the stablecoin, the casino adoption, the rising utility, and the low entry price. With more catalysts still ahead, it is easy to see why BlockDAG is being called the top crypto to buy among experts.2. Dogecoin: The Large-Scale Crypto EcosystemBNB stands out because it is more than just a cryptocurrency: it is the core asset powering one of the world’s largest blockchain ecosystems. It is used to pay transaction fees, participate in governance, and support activity across BNB Chain, giving the token practical utility beyond simply being held as an investment. The ecosystem has also continued to grow, with BNB Chain reporting millions of daily active users and substantial transaction activity. Another reason investors watch BNB closely is its supply-reduction system. In July 2026, the 36th quarterly burn removed more than 1.6 million BNB from circulation, reducing total supply to about 133.17 million. BNB Chain is also becoming increasingly relevant to tokenized assets, stablecoins, DeFi and AI applications. With low fees, fast transactions and continued technical upgrades, BNB combines an established ecosystem with several growing areas of crypto adoption. 3. Hedera: Bridging AI and Web3 NEAR Protocol stands out because it is designed to make blockchain technology faster, easier to use, and capable of handling large amounts of activity. Its technology uses sharding, which essentially allows the network to spread workloads across multiple parts of the blockchain instead of forcing everything through one lane. This gives NEAR an advantage as demand for scalable blockchain infrastructure grows. What makes NEAR particularly interesting is its focus on AI and autonomous agents. The network is being developed as infrastructure where AI-powered applications could eventually interact, move assets, and complete transactions on their own. NEAR Intents is another major strength, allowing users to describe what they want to accomplish while specialized participants handle the transaction across different networks. The project is therefore targeting several major crypto trends at once: AI, cross-chain activity, scalability, and decentralized applications. If adoption continues expanding, NEAR has significant long-term potential. 4. Scalable Network for Digital Finance Solana is considered one of crypto’s strongest networks because it focuses on a simple but important goal: making blockchain transactions fast and inexpensive enough for everyday use. Its technology can process activity quickly while keeping fees very low, making it attractive for trading, payments, DeFi, gaming, and other applications. Solana currently has a large and active ecosystem, with millions of monthly active addresses and billions of monthly transactions reported by the network. Its appeal is also expanding beyond traditional crypto. Major financial institutions are increasingly using Solana for tokenized stocks, funds, Treasuries and other real-world assets. As of late July 2026, the network hosted about $3.7 billion in non-stablecoin real-world assets across more than 313,000 holders. Solana is also continuing to improve its technology, with upgrades targeting greater capacity and faster confirmations. Together, strong usage, low costs, institutional adoption and ongoing development make SOL one of the most compelling major cryptocurrencies. Which Is The Top Crypto to Buy Now?BNB continues to benefit from its scale and steady supply reductions, with the ecosystem's next major test likely to come as tokenized assets and stablecoins expand further on BNB Chain. NEAR's bet on AI-driven infrastructure could pay off if cross-chain automation keeps gaining ground, while Solana's growing footprint in tokenized real-world assets gives it a credible shot at maintaining its current pace through the rest of the year.Still, BlockDAG is the clear winner for those seeking the top crypto to buy now. A live stablecoin, a casino that has already taken in more than $200 million in wagers, a network running at 7,000 TPS, and an AI launch all point to a project moving fast on multiple fronts at once.With coins priced at $0.0000017 and no vesting attached, the window to get in before BlockDAGX.io and the Super App go live is narrowing by the day.

Protect Progress, a Fairshake-linked political action committee, spent more than $2 million opposing Democrat Oliver Gilbert in Florida’s 24th congressional district. Federal Election Commission records showed the spending as of Tuesday. However, digital assets had not become a major issue in the primary.Fairshake Affiliate Targets Florida Democratic PrimaryGilbert is seeking the seat held by Representative Frederica Wilson, who endorsed him at a June 22 event. Wilson previously voted against the CLARITY Act and GENIUS Act in Congress.State Senator Shevrin Jones is also seeking the Democratic nomination. An early August poll placed Jones ahead of Gilbert. Meanwhile, Stand With Crypto rated Jones as ‘strongly supports’ after he completed its questionnaire.Before Protect Progress entered the race, neither leading Democratic candidate appeared to have made digital assets a central campaign issue. The PAC’s involvement then brought crypto-linked political spending into the contest.Gilbert Criticizes Crypto-Backed Political SpendingGilbert said Donald Trump’s ‘tech billionaire buddies’ were behind what he called ‘crypto con artists trying to buy a Democratic primary.’ He criticized the outside spending directed against his campaign.The ads also included fake Miami Herald headlines unrelated to digital asset policy. A Fairshake spokesperson said the underlying facts in the advertisement were true and cited reporting from the Miami Herald.The spokesperson did not explain why the PAC directed the spending against Gilbert. Why did Protect Progress spend more than $2 million against Gilbert when crypto policy had not become a major campaign issue? Fairshake gave no reason.Also Read: Fairshake-Backed Candidates Win Key US Party PrimariesFairshake Expands Spending Across 2026 Election RacesFairshake reported a $193 million war chest as of January. Its affiliates include Protect Progress, which supports Democrats, and Defend American Jobs, which supports Republican candidates.By June, Fairshake had already directed more than $82 million into primaries and special elections through advertising. Protect Progress also spent more than $150,000 supporting Representative Lois Frankel in Florida’s 23rd district.Defend American Jobs reported $1.5 million in combined advertising supporting Nick Begich, Sydney Gruters and Harriet Hageman. Meanwhile, voters in Alaska, California, Florida and Wyoming were choosing congressional candidates on Tuesday.The 2026 primaries will help determine control of the House and Senate in the next Congress. Both chambers are on recess until September. The Senate then expects to vote on the CLARITY Act.ConclusionFairshake affiliate Protect Progress spent more than $2 million opposing Oliver Gilbert despite limited crypto debate in Florida’s Democratic primary. The spending forms part of Fairshake’s broader 2026 election activity, backed by a reported $193 million war chest and more than $82 million deployed by June.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The Microsoft ExitPeyush Bansal’s entrepreneurial journey took a decisive turn after he left Microsoft in the US. An engineering graduate from McGill University, Bansal joined Microsoft in 2007 and worked on its Office team. Despite a promising career, he wanted to build something with a larger impact. He eventually returned to India, leaving behind the security of a prestigious technology job.Starting with SearchMyCampusBack in India, Bansal began exploring problems that technology could solve. In 2008, he launched SearchMyCampus, an online classifieds platform aimed at college students. It offered services around accommodation, books, jobs, and other student needs. The venture gave Bansal an early understanding of online consumers while teaching him how to build and operate a business from the ground up.Spotting an Untapped OpportunityThe idea for eyewear emerged from Bansal’s interest in solving overlooked consumer problems. He explored the challenges involved in selling glasses online, including prescription processing, lens manufacturing, and customer trust. His earlier US venture, Flyrr, also gave him valuable exposure to the online eyewear market. Eventually, he saw an opportunity in India, where the category remained largely unorganized and underserved.Lenskart Takes ShapeLenskart began operations in India in November 2010, initially selling contact lenses online. Within months, the company expanded into eyeglasses and sunglasses. The challenge was not simply putting products online; customers needed confidence about prescriptions, fit, quality, and returns. Lenskart responded by combining technology, customer support, and flexible policies, gradually making online eyewear more accessible to Indian consumers.From Online Store to OmnichannelBansal understood that eyewear could not remain purely an online business. Lenskart opened its first retail store in New Delhi in 2013, combining physical stores with its digital platform. This approach allowed customers to experience products offline while retaining the convenience of online shopping. The company subsequently expanded its manufacturing, technology, and retail capabilities, creating an integrated eyewear ecosystem.Building Beyond IndiaLenskart gradually evolved from an Indian online eyewear startup into a broader omnichannel business. Its expansion has extended beyond India into markets including Japan, Southeast Asia, and the Middle East. Forbes India reported in 2026 that Lenskart serves 15 countries, highlighting how Bansal’s original ambition evolved into a global consumer brand built around technology and affordable eyewear.The Bigger Entrepreneurial LessonBansal’s story is less about one sudden breakthrough and more about repeatedly identifying problems worth solving. He moved from Microsoft to student services, experimented with online eyewear, and eventually focused on Lenskart. That willingness to change direction became central to his entrepreneurial approach. Today, his journey reflects how persistence, customer understanding, and long-term conviction can transform an unconventional idea.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

ASUS Oxiis E250G1 Turns Regular Bikes Electric: ASUS has entered the e-bike conversion space with the Oxiis E250G1 Intelligent Bike Booster. The clip-on device attaches to a bike's seatpost and adds electric assistance without replacing the wheel or changing the gears.How Does the ASUS Bike Booster Work?: The Oxiis uses a friction-drive system. A motorised roller presses directly against the rear tyre to provide power. This means riders can keep their existing bicycle instead of installing a hub motor or replacing the wheel.250W Motor Delivers Extra Power When Needed: The E250G1 has a 250W rated motor designed to provide assistance while cycling. ASUS has also highlighted Adaptive Boost Technology, which can automatically adjust assistance when riders face slopes or headwinds.Up to 51 Km Range With Removable Battery: The booster packs a removable battery of around 159Wh. ASUS says the system can deliver up to about 50–51 km of range, depending on the riding mode and conditions. Eco mode focuses on extending the distance between charges.Lightweight Design Makes It Easy to Carry: The complete unit weighs about 3.7–3.8 kg, including the battery. It is designed to be attached and removed easily, with ASUS showcasing a setup that can be carried when electric assistance is not needed.Works With Many Types of Bicycles: The Oxiis supports wheels from 16 to 29 inches, including 700C setups, and tyres up to around 60 mm wide. It can suit city, road, gravel and folding bikes, although some bicycle designs are excluded.Three Riding Modes Plus Wireless Smart Sensing: Riders can choose between Eco, Normal and Sport modes. A wireless cadence sensor detects pedalling, while the companion app adds controls for the system. A built-in rear light also includes braking detection for added visibility.USB-C Charging Takes About 2 Hours: The removable battery supports 100W USB-C Power Delivery charging and can reach a full charge in roughly two hours. The unit is also designed to handle wet conditions, with ASUS showing water-resistant protection for everyday riding.Launch Date, Price, Plus Key Limitations: ASUS is expected to bring the Oxiis E250G1 to market later in 2026. Reports put the expected price around €500–€600, but official regional pricing and availability remain unconfirmed. Full-suspension bikes and carbon seatposts are not supported, while rough surfaces may affect performance.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OverviewRemote ID broadcasts a drone's identity and position locally, but only authorized agencies can trace that data to an owner.Full enforcement began in March 2024, making compliance a daily operational fact rather than a future deadline.The rule's real impact lies in what it reveals about pilot location, not in the identifier itself.A drone overhead is not just an aircraft anymore. With Remote ID, it sends out a signal showing its location, speed, and sometimes where the pilot stands. This changes who sees what. Anyone nearby with a receiver can pick up the signal. Authorities can go further and match that signal to registration records. This lets them find out who is flying the drone.The public simply sees the flight taking place. Officials, though, can trace it back to a real name. By 2026, this is not a future rule people are preparing for. It already shapes how drones operate and how incidents get investigated today.The real question for owners has shifted. It is not about whether Remote ID exists, but how much it reveals, who can act on that information, and where privacy still holds up.What the Broadcast Actually Contains?Under 14 CFR Part 89, a compliant drone transmits a defined set of data points while airborne. The identifier is either a manufacturer serial number or a session ID, and it carries no name attached. Position, altitude, and velocity update at least once per second, accurate to within 100 feet most of the time. A timestamp and an emergency status flag round out the message.The location element depends on the equipment. A drone with Remote ID built in broadcasts the pilot's live ground position for the entire flight. A drone using an external broadcast module instead sends only the fixed takeoff point. That single difference changes how much a bystander can learn about where a pilot is standing.What never appears in the signal matters just as much. There is no video, no sensor output, no flight log, no destination, and no pilot name. The transmission runs on the same unlicensed spectrum used by Wi-Fi and Bluetooth, so any compatible device within range can pick it up passively, without the pilot knowing a receiver is nearby.Two Different Audiences, Two Different Levels of AccessRemote ID splits visibility into two distinct layers, and confusing them is where most coverage goes wrong.A member of the public can tell that a drone is flying and roughly where the pilot is standing. That is the information available through the Remote ID broadcast itself. Connecting the identifier to a name requires DiSCVR, the FAA's lookup tool built on DroneZone registration data. Access runs through Department of Homeland Security approval, and it works only on submitted queries tied to specific incidents. It does not passively track drones in the background, and a missing match does not prove a pilot broke any rule.Also Read: LiPo vs Li-Ion Drone Batteries: Which is Better for Your Drone in 2026?Compliance Rules Worth KnowingRegistration status decides whether Remote ID applies. Recreational drones weighing 250 grams or more at takeoff need it. Any drone flown commercially under Part 107 needs it too, regardless of weight, since added payload can easily push a light drone past that threshold.Aircraft built after September 2022 come with Remote ID built in. Older drones can add an external module, but that choice comes with a real limitation: the pilot must keep the aircraft in visual line of sight at all times, and the drone becomes ineligible for beyond-visual-line-of-sight operations. For anyone planning advanced commercial work, built-in Remote ID is not optional in practice.Two paths avoid the requirement entirely. Sub-250g recreational drones fall outside registration altogether. Flights inside an FAA-Recognized Identification Area also skip the broadcast requirement, provided the pilot stays within approved boundaries and keeps visual contact with the aircraft. These zones expire every 48 months and need renewal.Enforcement Has Real Teeth NowFull enforcement started in March 2024, and it changed how incidents get investigated. When a drone appears somewhere it should not be, authorities can use Remote ID to locate the control station in real time. If the situation calls for it, an agency with DiSCVR access can submit the identifier and retrieve a matching registration record. Before this system existed, tracing an unauthorized flight to its operator often depended on physical observation, which rarely worked in crowded or complex environments.The FAA also frames Remote ID as groundwork for expanded beyond-visual-line-of-sight operations. Drones relying on broadcast modules stay excluded from that future, which gives operators a clear incentive to move toward built-in compliance rather than treating it as a temporary fix.Also Read: Best Cheap Drones in 2026: Top Budget Picks for Beginners and CreatorsFinal ThoughtRemote ID was never meant to solve every concern about drones overhead. It answers one question well: who is flying, and roughly where are they standing? Trespass law, no-fly zones, and platform policy still carry the rest of the accountability burden. As BVLOS operations grow more common, the gap between identification and full oversight will only become more visible, and that gap deserves closer attention than it currently gets.You May Also Like:DJI Mavic 4 Pro Review: Is the Flagship Drone Worth $2,199?Top 10 Racing Drones in 2026 for Speed EnthusiastsGoogle Explores AI, Server and Drone Manufacturing Investments in IndiaFAQs1. What is Drone Remote ID in 2026?Drone Remote ID is a system that broadcasts identification and flight information from applicable drones while they are in flight, helping authorities and nearby observers identify and locate the aircraft.2. What information does Drone Remote ID broadcast?Depending on the applicable system and jurisdiction, Remote ID can broadcast information such as the drone's identification, location, altitude, and the location of the control station or take-off point.3. Can the public see who owns a drone through Remote ID?Not directly. The public may be able to receive Remote ID broadcast information nearby, but the owner's personal registration information is generally restricted to authorized authorities under the applicable framework.4. Do all drones need a Remote ID in 2026?No. Requirements depend on factors such as the drone's registration status, weight, intended use, and applicable exemptions. In the U.S. framework outlined in the article, certain sub-250-gram recreational drones and flights within qualifying FRIAs may be exempt under specific conditions.5. What does Remote ID mean for drone owners' privacy?Remote ID does not make an owner's personal information publicly available by default, but it can make certain flight and location information locally visible to compatible receivers. This creates privacy considerations around operator location, flight activity, and how authorities handle information collected during incidents.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Apple is expected to launch its next-generation smartphones next month, with the iPhone 18 Pro, iPhone 18 Pro Max and iPhone Ultra reportedly set to debut first. The standard iPhone 18 model could arrive early next year. The three flagship smartphones are expected to be powered by Apple’s A20 Pro chipset.A20 Pro Could Use TSMC’s 2nm ProcessAccording to a tipster citing supply chain sources, Apple’s unreleased A20 Pro chipset could be the first mobile SoC to be fabricated using TSMC’s 2nm process. The tipster ‘Fixed-focus digital cameras’, translated from Chinese, shared the information in a Weibo post.The A20 Pro is expected to power the iPhone 18 Pro, iPhone 18 Pro Max and iPhone Ultra, which is reportedly Apple’s first book-style foldable smartphone. Apple has yet to confirm these details.Performance Could Improve by 18 PercentThe A20 Pro is tipped to offer a significant performance improvement over the A19 Pro chipset used in the iPhone 17 Pro and iPhone 17 Pro Max. According to the tipster, the new chipset could deliver an 18 percent performance improvement while reducing power consumption by about 30 percent. The efficiency gains could help improve performance without a corresponding increase in power consumption.However, the shift to the new manufacturing process is reportedly expected to increase Apple’s procurement costs ‘significantly’.Apple Could Cut OLED Panel CostsWhile the A20 Pro may cost Apple more, the company could offset some of these manufacturing costs elsewhere. A recent report said Apple has renegotiated deals with LG and Samsung for OLED panels for the iPhone 18 Pro series.Apple is expected to pay the two suppliers about $68 (roughly Rs. 6,500) for each OLED panel. This is reportedly notably lower than what the company paid for the iPhone 17 Pro Max’s OLED panel.Also Read: Apple iPhone 18 May Get 12GB RAM Upgrade for Advanced AI FeaturesiPhone 18 Pro Could Be More ExpensiveThe iPhone 18 Pro and iPhone 18 Pro Max are expected to debut early next month and are reportedly set to be Apple’s most expensive non-folding smartphones yet. Apple’s CEO has already hinted at an ‘unavoidable’ price hike, which is said to affect both old and new iPhone models.More details about the iPhone 18 Pro series are expected to emerge in the coming weeks.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The Financial Accounting Standards Board has proposed guidance that could let some stablecoins qualify as cash equivalents under US accounting rules. At the same time, Visa and Mastercard are expanding their stablecoin settlement strategies.The proposal would add examples to the existing definition of cash equivalents without changing that definition. FASB said the update aims to address inconsistent accounting treatment for digital assets such as stablecoins.FASB Sets Conditions for Stablecoin Cash TreatmentUnder the proposal, a digital asset would need an on-demand contractual redemption right. Holders would also need a direct right to redeem the asset with its issuer for a known cash amount. The issuer would need to maintain at least one-to-one segregated reserves. Those reserves would need to consist of short-term and highly liquid assets.FASB also provided examples of assets that would not qualify. An active secondary market alone would not satisfy the requirements when holders lack a direct issuer redemption right.A token backed by crypto assets and gold would also fail the test because those reserves carry valuation risks. Companies could still decide whether to present qualifying assets as cash equivalents. They would also need to consider relevant laws and regulations. FASB is accepting public comments on the proposed update until November 19.Visa Seeks Licensed Partners for Stablecoin SettlementMeanwhile, Visa has started seeking proposals from potential partners for stablecoin settlement and over-the-counter trading, according to CoinDesk. The company wants firms with crypto exchange licenses in several major markets.Those markets include the United States, Canada, the United Kingdom, and Singapore. The selected partner would support swaps between multiple stablecoins and help settle Open USD, or OUSD.OUSD counts Stripe, Visa, and Mastercard among its backers. The project aims to provide a compliant and fully reserved stablecoin for enterprises and regulators. Visa also launched its Visa Stablecoin Platform last month. The platform targets financial institutions and fintech companies that want to custody and settle stablecoins.The service seeks to connect traditional financial systems with stablecoin infrastructure. It also gives Visa a larger role in regulated digital asset settlement. What happens if accounting clarity and payment infrastructure develop at the same time?Also Read: XRP vs Stablecoins: Can Ripple’s Token Compete in Global Payments?Mastercard Expands Through BVNK as Competition GrowsMastercard has also expanded its stablecoin strategy through its acquisition of BVNK that provides infrastructure for businesses to issue, accept, and settle digital currencies. By integrating BVNK, Mastercard aims to give partners a simpler route into stablecoin payments. That approach places it in direct competition with Visa's settlement platform.Both payment companies are targeting a market that increasingly uses stablecoins for cross-border payments, remittances, and treasury operations. They are also focusing on regulated infrastructure and licensed counterparties.The involvement of Stripe, Visa, and Mastercard in OUSD shows growing institutional participation in stablecoin projects. OUSD targets enterprise use while maintaining full reserves and compliance. FASB will determine an effective date for its accounting update after reviewing stakeholder feedback. Its consultation remains open until November 19.ConclusionFASB has proposed conditions for treating some stablecoins as cash equivalents, while Visa and Mastercard are expanding stablecoin settlement infrastructure. The developments place redemption rights, reserves, licensing, accounting treatment, and payment integration at the center of the growing stablecoin market.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Ripple USD (RLUSD) is becoming an increasingly important part of the XRP Ledger’s (XRPL) liquidity strategy. Unlike XRP, whose market price fluctuates, RLUSD is designed to maintain a 1:1 value with the US dollar and is backed by segregated reserves of cash and cash equivalents. That combination gives XRPL something increasingly important for payments and tokenized finance: a native dollar-denominated asset that can trade directly against XRP and other issued tokens.RLUSD Is Building Significant ScaleRLUSD has expanded rapidly since launching in late 2024. By August 2026, the stablecoin had reached approximately $1.76 billion in market capitalization, reflecting growing institutional demand for dollar-denominated blockchain settlement. Its distribution has also widened. Binance announced RLUSD spot trading in January 2026 with XRP/RLUSD and RLUSD/USDT pairs, initially supporting Ethereum and planning XRPL support. More exchange availability can deepen trading markets by bringing additional buyers, sellers and market makers into RLUSD pairs.RLUSD Can Add Dollar Liquidity to XRPL’s DEXXRPL has a decentralized exchange built directly into the protocol, alongside Automated Market Makers introduced through XLS-30.AMMs hold two assets and allow users to provide liquidity in return for LP tokens and trading fees. XRPL’s payment engine can automatically route trades through order books, AMMs or a combination of both to obtain an efficient rate. This means deeper XRP/RLUSD pools could make it easier to move between a volatile bridge asset and dollar-denominated liquidity.For example, XRPL pathfinding could execute a transaction from one issued currency into RLUSD through XRP when that route offers the best available price. Stablecoin Liquidity Could Expand Cross-Border PaymentsRipple is already building around this model. In June 2026, Ripple and Bitso announced that Mexican peso-backed MXNB would join XRPL payment infrastructure alongside RLUSD. The aim is to support more efficient liquidity and settlement between the US and Mexico.Such markets could eventually create liquidity paths such as:USD → RLUSD → XRP → MXNB → MXNThe exact route would depend on available liquidity and pricing rather than requiring XRP in every transaction. RLUSD is also being incorporated into newer use cases. Ripple's June 2026 XRPL AI Starter Kit supports XRP and RLUSD for machine-to-machine payments using X402 infrastructure. XRP and RLUSD Can Serve Different RolesRLUSD does not necessarily remove the need for XRP. RLUSD provides stable dollar liquidity, while XRP can serve as a bridge between otherwise fragmented trading pairs. More RLUSD activity could consequently increase the number of useful liquidity routes involving XRP rather than simply competing with it.Also Read: How XRPL Permission Delegation Could Change Crypto Wallet Management Final ThoughtsRLUSD could make XRPL liquidity deeper and more practical by providing a native dollar asset for payments, trading and tokenized finance.If adoption continues, the larger effect may be a more interconnected liquidity network where RLUSD provides stable value, XRP provides bridging liquidity, and XRPL’s DEX and AMMs automatically connect the two.FAQs:1. What is RLUSD?RLUSD is Ripple’s US dollar-backed stablecoin designed to maintain a 1:1 value with the dollar. It is backed by reserve assets and is intended for payments, trading, treasury activity and blockchain settlement.2. How could RLUSD improve XRP Ledger liquidity?RLUSD can create additional dollar-denominated trading pairs on XRPL’s built-in DEX and AMMs. More active pairs can attract market makers and give users additional routes for moving between XRP, stablecoins and issued assets.3. Does RLUSD compete directly with XRP?Not necessarily. RLUSD provides price stability, while XRP can serve as a bridge asset between currencies and liquidity pools. The two assets can therefore perform different roles within the same payment or trading route.4. How can RLUSD support cross-border payments?RLUSD can act as a digital dollar settlement asset, while XRPL pathfinding can route payments through XRP or other available liquidity when appropriate. Integrations with assets such as MXNB could expand fiat-to-fiat settlement options.5. Why are XRPL AMMs important for RLUSD?AMMs allow users to supply pairs such as XRP/RLUSD and earn trading fees while providing liquidity. Deeper pools can reduce slippage and make larger conversions between XRP and dollar-denominated assets more efficient.

TablePlus Interface - TablePlus offers a clean, intuitive interface that helps developers navigate databases, tables, queries, and records without unnecessary complexity.Multiple Database Support - TablePlus supports multiple database systems, allowing developers to manage different databases from one consistent application and familiar workflow.SQL Query Editor - Its SQL editor helps developers write, execute, organize, and review queries efficiently while working directly with connected databases.Data Editing - Developers can quickly view and modify database records through TablePlus, reducing repetitive command-line operations during everyday database maintenance.Secure Connections - TablePlus provides secure database connections, helping developers protect credentials and maintain controlled access while working across development environments.Database Navigation - TablePlus makes database navigation straightforward, helping developers locate schemas, tables, columns, indexes, and records without switching between multiple interfaces.Query Organization - Developers can save and organize frequently used SQL queries, making repeated database tasks faster and reducing unnecessary query rewriting.Developer Productivity - By combining database browsing, editing, querying, and connection management, TablePlus reduces friction across common database development and maintenance workflows.Cross-Platform Workflow - TablePlus supports major desktop platforms, enabling developers to maintain a familiar database management workflow across different operating systems and projects.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

SapiensSapiens by Yuval Noah Harari examines the evolution of humanity, civilisation and societies. Naval Ravikant has praised it as one of the best books he has read, highlighting its ideas, observations and mental models. The book encourages readers to rethink history, human behaviour and the forces shaping modern civilisation.The Sovereign IndividualThe Sovereign Individual by James Dale Davidson and William Rees-Mogg explores how technology and economic change could reshape society and institutions. Naval has described it as the best book he read after Sapiens. Its ideas around the information age make it particularly relevant to entrepreneurs and technology enthusiasts.Poor Charlie’s AlmanackPoor Charlie’s Almanack by Charlie Munger combines biography, speeches and practical wisdom. Naval considers it more than a conventional business book, describing it as guidance on overcoming oneself and living successfully. Its emphasis on mental models, rational thinking and multidisciplinary learning strongly aligns with Naval’s approach to decision-making.The Beginning of InfinityThe Beginning of Infinity by David Deutsch explores knowledge, explanations, science and human progress. Naval has repeatedly recommended the book, describing it as intellectually demanding but transformative. Its central argument that problems can be solved through better explanations connects with his interest in rationality, first-principles thinking and continuous intellectual exploration.The Lessons of HistoryThe Lessons of History by Will and Ariel Durant condenses broad historical patterns into a relatively short volume. Naval appreciates its ability to identify larger themes across human history while remaining concise. The book offers readers a framework for understanding recurring patterns in civilisation, conflict, economics and social development.Reality is Not What it SeemsReality Is Not What It Seems by Carlo Rovelli explores the history and ideas behind quantum gravity. Naval described it as one of the best books he had read, appreciating its combination of physics, philosophy, poetry and history. It reflects his preference for books that challenge conventional thinking and expand intellectual curiosity.SiddharthaSiddhartha by Hermann Hesse follows a man's search for wisdom, meaning and self-understanding. Naval has called it a strong philosophical introduction and said he has given away more copies of it than any other book. Its exploration of experience, knowledge and personal discovery makes it a distinctive recommendation.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Trevor Noah called Google Gemini the ‘GLP-1 of tech’ at the Made by Google 2026 event in New York. Google highlighted Gemini across Pixel 11 phones and other new devices on August 12. The company aims to make AI handle routine digital tasks with less effort and screen time. Google also said Gemini now has more than one billion monthly users worldwide.Noah made the comparison while discussing how Gemini can handle everyday tasks for users. “They take things off of your plate,” Noah joked during the talk show style presentation. The line described Google’s effort to turn Gemini from a chatbot into a more useful digital assistant. More than 100 million Gemini users now access the service through iOS devices, Google said.Google placed Gemini at the center of the new Pixel 11 experience. The company introduced features that can translate content across podcasts, YouTube videos, and other apps. A new ASL to text feature also aims to improve accessibility for American Sign Language users.Another new feature called Rambler improves speech input by removing filler words. It also cleans sentences and helps capture the speaker’s intended meaning more clearly.Google also upgraded Magic Cue into Proactive Assistance for Pixel devices. The feature can find useful information from messages and offer relevant suggestions. A restaurant recommendation, for example, can bring up reviews, menus, and directions automatically.Gemini also reaches Google’s latest smartwatch features through Pixel Watch 5. Google added Gemini access alongside new health focused tools and Google Health Coach.The event showed Google’s larger plan for Gemini across phones, watches, and other devices. The focus now shifts from simply answering questions toward handling everyday digital tasks.Also Read: Gemini 3.7 Flash Arrives: Why Google Is Betting on Faster AI for Agentic WorkflowsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Bitcoin exchange reserves are one of the most closely watched on-chain indicators as they show how much BTC is sitting in wallets associated with cryptocurrency exchanges. Changes in these balances can offer clues about potential selling pressure, investor custody preferences and market liquidity.According to CryptoQuant, exchange reserves represent the total amount of Bitcoin held across identified exchange addresses at a particular time. How Bitcoin Exchange Reserves WorkWhen users transfer BTC from personal wallets to an exchange, the exchange’s reserve generally rises. When Bitcoin is withdrawn to self-custody, reserves decline.Suppose exchanges collectively hold 2 million BTC. If users deposit another 100,000 BTC, reserves rise to 2.1 million BTC. If 150,000 BTC is subsequently withdrawn, the reserve falls to 1.95 million BTC.Analytics providers estimate these figures by identifying and clustering blockchain addresses associated with centralized exchanges. CryptoQuant notes that historical figures can change as newly discovered exchange addresses are added to its datasets. Why Rising Exchange Reserves Can MatterBitcoin deposited on a spot exchange becomes more readily available for trading.CryptoQuant therefore treats sustained increases in spot-exchange reserves as a potential indication of greater sell-side supply. Similarly, rising exchange inflows have historically been associated with increased selling pressure since holders may be preparing to trade their BTC. However, this is not a guaranteed bearish signal. Bitcoin can enter an exchange for collateral, internal transfers, market-making or other purposes without being sold.Falling Reserves Can Signal Reduced Liquid SupplyThe opposite trend can also provide useful information. When Bitcoin moves from exchanges into private wallets, fewer coins are immediately available in exchange order books. CryptoQuant describes sustained reserve declines as potentially reflecting self-custody and longer-term holding behavior. If demand remains strong while readily tradable supply falls, that scarcity can become supportive for prices. But withdrawals alone do not guarantee that Bitcoin will appreciate.Exchange Reserves are Not the Same as Proof of ReservesThe two metrics are often confused. Exchange-balance analytics estimate BTC controlled by exchanges using blockchain-address clustering. Proof of reserves, meanwhile, attempts to demonstrate assets that an exchange claims to control. Glassnode notes that its proof-of-reserves data covers self-reported exchange addresses and is a narrower dataset than its broader exchange-balance metrics.Reserves also do not reveal the exchange’s complete liabilities. CryptoQuant says reserves matter for withdrawal capacity and trading liquidity, but other financial information is necessary when evaluating an exchange’s overall health. Also Read: Austria’s New Bitcoin Tax Report Gives Investors a 2026 ToolBitcoin exchange reserves show where BTC is located and how much supply is available for trading. Rising reserves can indicate increasing potential sell-side liquidity, while sustained withdrawals can point toward self-custody and reduced liquid supply. Investors should combine reserves with net flows, trading volume, derivatives positioning and broader market conditions rather than treating the metric as a standalone price signal. Why this Matters Final ThoughtsBitcoin exchange reserves are a useful indicator of how much BTC is readily available for trading on centralized platforms. Rising balances can point to greater potential selling pressure, while falling reserves may reflect stronger self-custody and reduced liquid supply. However, reserve data should be used alongside other on-chain and market indicators rather than as a standalone signal.FAQs:1. What are Bitcoin exchange reserves?Bitcoin exchange reserves represent the amount of BTC held in wallets identified as belonging to centralized exchanges. Analytics firms estimate these balances by tracking and clustering known exchange addresses.2. What does it mean when Bitcoin exchange reserves rise?Rising reserves mean more BTC is being held on exchanges and is potentially available for trading. This can increase potential sell-side liquidity, although deposits do not necessarily mean investors intend to sell.3. Why can falling Bitcoin exchange reserves be bullish?Falling reserves can indicate that investors are withdrawing BTC into self-custody or longer-term storage. If demand remains strong while immediately tradable supply declines, that can create a more supportive supply environment.4. Are exchange reserves the same as proof of reserves?No. Exchange-reserve metrics estimate how much BTC exchanges control based on blockchain addresses, while proof of reserves is designed to demonstrate assets held by a particular platform. Neither alone provides a complete view of an exchange’s liabilities.5. Can Bitcoin exchange reserves predict BTC prices?Not reliably on their own. Reserve trends can provide useful context about available supply and investor behavior, but prices are also influenced by derivatives, ETF flows, macroeconomic conditions, liquidity and market sentiment.

iPhone 18 Pro May Get Apple's First 2nm Chip: What the A20 Pro Could ChangeCiting supply chain sources, tipster “Fixed-focus digital cameras” (translated from Chinese) has shared new details in a post on Weibo regarding the next-generation Apple Silicon chipset, which is expected to power the upcoming iPhone 18 Pro, iPhone 18 Pro Max, and iPhone Ultra, the company's first book-style foldable. The leaker claims that the Cupertino-based tech giant's unreleased A20 Pro chipset will be the first SoC to be fabricated using TSMC's 2nm process. The leaker claims that the iPhone 18 Pro's A20 Pro chipset will deliver significantly better performance than last year's A19 Pro SoC, which powers the iPhone 17 Pro and iPhone 17 Pro Max. According to the tipster, the chipset will provide an 18 percent performance enhancement, along with a power consumption reduction of about 30 percent.iPhone 18 Pro Max Could Get Exclusive Variable Aperture Camera: LeakAccording to a Weibo post by tipster Ice Universe (translated from Chinese), Apple could make the variable aperture camera exclusive to the iPhone 18 Pro Max. While the tipster stopped short of revealing additional details about the component, it was suggested that its the sensor's physical size could be one of the reasons why it may only be accommodated on Apple's larger Pro model. The tech giant will reportedly only offer top-tier imaging in a handset that could weigh as much as a “brick”, the tipster added. This suggests that the purported smartphone could be heavier than its predecessor, with the inclusion of the variable aperture camera resulting in the trade-off.Apple's iPhone 18 Pro launch is shaping up to be one of the biggest smartphone events of 2026. While Apple has yet to officially confirm the date, recent reports point to a September 9 event, with pre-orders potentially opening on September 12 and the phones going on sale around September 18. Follow this live blog for the latest developments, launch schedule updates, expected specifications, pricing and other iPhone 18 Pro news.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Key Takeaways :AI skills now bring major demand and wage advantages across the technology job market.Traditional skills such as Python, SQL, APIs and databases remain essential for reliable AI work.The strongest career path combines solid technical foundations with practical AI expertise.The tech job market has changed fast in 2026. Artificial intelligence now sits inside software development, data work, cybersecurity, cloud services, marketing technology and many other fields. At the same time, core skills such as Python, SQL, databases, APIs, Git and system design still hold strong value. This creates a clear question for students, career switchers and junior tech workers: should AI skills come first, or should traditional tech skills get priority?The strongest answer is not a choice between the two. Traditional technical skills should form the base, while AI skills should come on top of that base. Current job data supports this approach. The market rewards people who can understand technology and also use AI to solve real problems.AI Skills have Gained Real Market ValueAI skills now carry a clear financial advantage. PwC's 2026 AI Jobs Barometer reports an average 62% wage premium for workers with AI skills. The figure rose from 57% a year earlier. The report also finds 40% higher productivity growth at companies with greater AI exposure than at companies with lower exposure.LinkedIn also reports strong growth in AI-related work. Its 2026 labor market research says 1.3 million new AI-enabled jobs have appeared across the world during the past two years. LinkedIn also reports a 70% year-over-year rise in US jobs that require AI-literacy skills.These figures show a major shift. AI knowledge no longer belongs only to machine learning specialists. Basic AI literacy now has value across many office and technology roles.Traditional Tech Skills Still MatterAI has not removed the need for core technical knowledge. In several areas, strong fundamentals have become even more useful.The 2025 Stack Overflow Developer Survey found that 84% of developers use or plan to use AI tools. Among professional developers, 51% use AI tools every day. Yet the same survey found a major trust problem. Some 46% of developers do not trust AI output, while only 33% trust it.The survey also found that 66% of developers feel frustrated by AI answers that seem almost correct. Another 45% say AI-generated code can take more time to debug.These results reveal an important skill gap. AI can produce code, but technical knowledge still helps a developer test that code, find errors, check security and choose the right design. A person without core knowledge may struggle to spot an answer that looks correct but fails in a real system.Also Read - 15 Most Important AI Skills Every Professional Needs by 2027AI Works Best with Technical FoundationsTraditional skills and AI skills now work together. Python supports AI applications. SQL supports data work. APIs connect AI models with software products. Databases support AI applications and retrieval systems. Cloud skills help teams deploy AI products. Git remains useful for version control and code management.Stack Overflow data supports this connection. Among developers who build AI agents, 43% use Redis for memory and data management, while 43% use Grafana and Prometheus for observability.This shows a simple reality: AI products still need software infrastructure. A strong AI tool cannot replace the need for databases, servers, APIs, testing, security and reliable code.AI Has More Than One Skill LevelAI skill also means more than prompt writing. The first level includes AI literacy, prompt design, output checks, privacy awareness and safe AI use. The second level includes AI-assisted coding, testing, documentation and code review.The next level covers LLM APIs, retrieval-augmented generation, embeddings, agents and AI evaluation. A deeper level includes machine learning, statistics, linear algebra, deep learning, model training and MLOps.Not every tech career needs the deepest AI layer. A cloud engineer may need AI application skills without becoming a machine learning engineer. A cybersecurity professional may gain more value from AI security than from model training. A software developer may need LLM APIs and agents rather than advanced neural network theory.The Job Market Rewards Hybrid SkillsThe World Economic Forum's Future of Jobs Report 2025 lists AI and big data among the fastest-growing skills through 2030. It also places networks and cybersecurity, technological literacy, creative thinking and adaptability high on the list. The report expects 39% of core worker skills to change by 2030.PwC adds another important signal. Skills in AI-exposed jobs now change 66% faster than skills in the least AI-exposed jobs. Its 2026 report also says AI-exposed junior roles are seven times more likely to ask for traditionally senior skills such as leadership.This trend raises the value of judgment. AI can handle more routine work, so employers can expect junior workers to solve harder problems sooner.What Should Come First?For a complete beginner, core technical skills should come first. Python, SQL, Git, APIs, computer fundamentals and problem-solving offer a strong base. AI literacy should start at the same time, with simple tools and practical use.For someone with solid programming knowledge, AI application skills deserve immediate attention. LLM APIs, RAG, agents, evaluation and AI automation can add strong value to existing technical ability.For a future AI or machine learning engineer, deeper foundations matter even more. Python, algorithms, statistics, linear algebra, machine learning and cloud deployment provide the route toward advanced AI work.Also Read - Top Django Libraries Every Python Developer Needs in 2026The Real AdvantageThe strongest career profile in 2026 does not come from choosing AI over traditional technology. It comes from combining technical depth with AI skills.AI can speed up code work, research, analysis and automation. Technical knowledge can provide the judgment needed to check those results and turn them into reliable products.The lesson from current labor data is clear: traditional tech skills remain the foundation, while AI skills add leverage. The best first step is therefore a strong technical base with early AI exposure, followed by deeper AI skills as career goals become clearer.FAQs1. Should AI skills come before traditional tech skills?For beginners, traditional technical foundations should come first, with basic AI skills learned alongside them.2. Are traditional tech skills becoming outdated?No. Skills such as programming, databases, APIs, cloud and cybersecurity still support modern AI systems.3. Which AI skills have the most value?AI literacy, LLM APIs, RAG, agents, AI automation and AI-assisted development offer strong practical value.4. Is prompt engineering enough for a tech career?Prompt skills alone may not provide enough depth. Technical knowledge plus AI skills creates a stronger career profile.5. What is the best skill combination for 2026?A strong combination includes programming, data skills, problem-solving, AI literacy and practical experience with AI applications.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

What Is JustCall?JustCall is a cloud-based business communication platform designed to simplify calling and customer interactions. It enables businesses to make and receive calls through the internet while connecting communication workflows with other business tools. By combining voice, messaging, automation and analytics, JustCall helps teams manage customer conversations more efficiently.Cloud TelephonyAt the core of JustCall is cloud telephony, which eliminates the need for conventional phone infrastructure. Businesses can make and receive calls using internet-connected devices from different locations. This flexibility supports remote and distributed teams while helping companies reduce communication complexity and manage business numbers through a central platform.AI-Powered CommunicationArtificial intelligence adds another layer of intelligence to business calling. JustCall can support features such as call transcription, conversation analysis, summaries and actionable insights. These capabilities help teams understand customer interactions without manually reviewing every conversation, allowing sales and support professionals to focus more on customers and important business decisions.CRM IntegrationJustCall connects business calling with customer relationship management systems, bringing communication data closer to customer records. Teams can access relevant interaction histories and manage conversations within connected workflows. This integration reduces information gaps between sales and support teams while helping businesses maintain more consistent and personalised customer experiences.Call AutomationAutomation helps businesses streamline repetitive communication processes. Teams can create workflows for activities such as follow-ups, notifications and customer outreach. By reducing manual tasks, automation allows employees to spend more time on complex conversations and revenue-generating activities. It can also help organisations maintain faster and more consistent customer responses.Analytics and InsightsBusiness calling generates valuable operational data, and analytics helps companies turn that information into actionable insights. JustCall provides tools for monitoring calls, agent performance and communication activity. Managers can use these insights to identify performance trends, understand customer interactions and improve sales or support processes based on measurable communication data.Smarter Business CallingJustCall represents the shift from traditional business phones to intelligent communication platforms. By combining cloud telephony, AI, CRM integration, automation and analytics, it gives organisations a connected approach to customer communication. The technology can help businesses improve productivity, strengthen customer engagement and build more data-driven calling strategies.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Good afternoon! Here’s your quick roundup of the latest developments across AI chips, tech funding, graduate employment, cryptocurrency regulation, and artificial intelligence.What’s New Today: Cerebras has launched a new AI server system designed to accelerate chatbot responses and improve inference performance. AI property-management company EliseAI is reportedly targeting a $3.7 billion valuation through a proposed $300 million funding round. Meanwhile, one in five fresh Singapore university graduates remains jobless, US regulators are advancing separate crypto proposals, and India’s SraVaani AI model now supports speech recognition across 65 languages and dialects.Fast-Track InsightsCerebras launches a new system to accelerate AI chatbots.EliseAI reportedly targets a $3.7 billion valuation with funding.One in five Singapore graduates remains seeking jobs.SEC and FASB advance separate proposals for crypto.SraVaani brings AI speech recognition to 65 languages.Cerebras Launches New AI Server System to Speed ChatbotsCerebras Systems has launched its new CS-4 server system, designed to accelerate AI inference and chatbot responses. The system uses three large Cerebras chips, including the new WSE-3 Turbo, alongside upgraded networking components. Built on the company’s Nexus architecture, the system uses 50% fewer components and is expected to be available in Q3 2026. Read MoreEliseAI Targets $3.7 Billion Valuation with New FundingAI property management company EliseAI is reportedly in talks to raise $300 million at a $3.7 billion valuation. Andreessen Horowitz and Bessemer Venture Partners are discussing leading the round. EliseAI was valued at $2.2 billion after its 2025 funding round, meaning the proposed deal could significantly increase its valuation within a year. Read MoreOne in Five Singapore Graduates Still Seek JobsOne in five fresh graduates from Singapore’s six autonomous universities were still seeking employment in June, amid cautious hiring, economic uncertainty, and increasing AI adoption. About 3,600 of 18,000 graduates remained unemployed, while 9,100 had secured jobs. Singapore is expanding work-based learning, apprenticeships, and skills programs to improve graduate transitions into employment. Read MoreSEC and FASB Advance Separate Crypto Rules Amid DelaysThe US Securities and Exchange Commission and Financial Accounting Standards Board have advanced separate proposals affecting the crypto industry. The SEC proposed exemptions for certain crypto asset investment contracts, while FASB proposed allowing some stablecoins to qualify as cash equivalents. The developments come as the broader Clarity Act remains stalled in Congress. Read MoreSraVaani Brings Speech Recognition to 65 Indian LanguagesSraVaani-1.0, an open-source speech recognition model developed by IISc’s SPIRE Lab and ARTPARK, covers 65 Indian languages and dialects, focusing strongly on low-resource and tribal languages. The system was trained using extensive Indian speech datasets and shows competitive results against other models. Its released checkpoint is available through Hugging Face. Read MoreJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Jorge Valdivia is a technology and product leader who helps B2B SaaS companies scale across product, engineering, and platform strategy, with a focus on AI and enterprise value creation. As CTO at Fleetio, he operates at the intersection of product, technology, and business strategy, aligning architecture with revenue growth and long-term market positioning.AI has become the defining technology story of the last several years. With new models emerging almost weekly, companies race to add AI-powered features to their products, and businesses across industries seek ways to automate work and improve decision-making.Yet as AI becomes more accessible, access to AI is no longer a competitive advantage. The real advantage lies in the data, expertise, and operational context behind it. All software companies have access to the same foundational AI models, but what separates meaningful AI solutions from generic ones is the depth of information and quality of the product they're built on and their ability to apply that information to real-world customer problems.In fleet maintenance, where every decision affects costs, uptime, compliance, and safety, that distinction makes a difference. Customers need software that helps them make better decisions in the moments that matter. That's where the next generation of AI-powered service advisors is creating value.From Systems of Record to Systems of OutcomesFor much of the SaaS era, success was defined by becoming the system of record for a particular workflow. Businesses wanted a centralized place to store information, manage processes, and maintain visibility across their operations. That foundation remains important, but customer expectations have changed. Organizations are now asking what outcomes the software is helping achieve. The shift is subtle but significant. Customers no longer evaluate technology solely based on the information it collects; rather, they evaluate it based on the decisions it improves and the tangible results it delivers.This evolution is particularly evident in fleet management. Fleets generate enormous amounts of information, including repair records, inspection reports, telematics data, maintenance histories, vendor invoices, and diagnostic information. While the main challenge a few years ago was collecting data, it’s now become knowing what to do with it. The future of enterprise software will belong to platforms that can transform operational data into measurable business outcomes.Why an AI Service Advisor Needs More Than AIThe promise of an AI Service Advisor is to help maintenance teams make faster, smarter decisions, but the effectiveness of those recommendations depends entirely on the information available to the system. An AI Service Advisor trained on a limited dataset may be able to summarize information or identify broad trends, but a service advisor informed by more than a decade of real-world maintenance decisions and outcomes can do something far more valuable. It can identify patterns, predict outcomes, and recommend actions based on how similar situations have played out thousands of times before. The difference is context. Fleet operations are filled with decisions that appear simple on the surface but carry meaningful financial consequences. Should a repair be approved? Is a service recommendation necessary? Is a recurring fault likely to become a larger issue? Which maintenance actions will reduce long-term costs? The answers are rarely found in a single data point. They emerge from years of accumulated operational knowledge. This is why the most effective AI solutions are built on data, workflows, and domain expertise that have been refined over time.The Foundation MattersFor many organizations, AI feels like the beginning of a new chapter. In reality, AI is often the result of years of foundational work. Over the past decade, Fleetio has built a platform that captures maintenance activity, repair decisions, service histories, vendor interactions, and operational workflows across thousands of fleets. That foundation was built through years of customer collaboration, product development, and industry learning, resulting in a deep understanding of what effective fleet management looks like. That distinction matters because fleet management is not an intuitive domain. Unlike consumer software categories, where most users already understand the problem space, fleet operations require specialized knowledge developed through experience. Understanding maintenance strategies, asset lifecycles, repair economics, and operational tradeoffs takes time. As organizations look to deploy AI, those years of accumulated expertise become a significant competitive advantage. Models can be replicated, but domain knowledge cannot. The companies that will lead the next phase of AI adoption are the ones that have spent years building the right foundation that intelligence depends on.Turning Data Into DecisionsThe true test of analytics is whether it influences decisions. While many software platforms can identify trends after the fact, fewer can help customers act in the moment. Consider a common maintenance scenario. An asset is in the shop for service, and a vendor recommends additional repairs or replacement parts. Historically, a fleet manager would need to manually review the recommendation, compare it against maintenance records, and determine whether the work is justified.An AI-powered service advisor can surface relevant historical information instantly. It can recognize patterns, identify similar repairs across the fleet, and evaluate whether the recommendation aligns with historical outcomes. The value is in helping customers make a better decision at the exact moment that decision needs to be made. This is where analytics becomes a competitive differentiator. Instead of simply telling customers what happened, intelligent systems help determine what should happen next. When multiplied across hundreds or thousands of assets, even small improvements in decision quality can produce significant operational and financial impact. For one of our customers, Auto-Chlor, this technology resulted in $280K+ of avoided, unnecessary repair spend and a reduction in outsourced maintenance costs of about 15% in the past year. That’s a 4x return on investment for them, and that’s the kind of tangible results customers are looking for.Building Trust Through IntelligenceIn operational environments, trust matters as much as intelligence. Fleet managers operate in a world where maintenance decisions affect safety, compliance, budgets, and uptime. They need confidence that recommendations are grounded in reliable information and aligned with their operational realities. This is why Fleetio's approach to AI focuses on bounded intelligence rather than unrestricted autonomy. AI agents operate within defined workflows, evaluating specific conditions and helping customers navigate repetitive, time-sensitive decisions. An agent might assess whether a repair falls within policy thresholds or identify recurring asset issues that deserve additional attention. These systems augment human expertise rather than replace it. Humans still provide the context that data alone can’t capture. An asset's operating environment, local weather conditions, attached equipment, staffing constraints, or business priorities may influence a decision in ways that no model can fully anticipate, so the goal is for AI to help them focus their attention where it creates the most value.Analytics is the New Competitive MoatAs AI capabilities continue to mature, competitive advantages are shifting. The conversation is moving away from who has access to AI and toward who can generate the most meaningful outcomes with it. Increasingly, the answer comes down to analytics. Organizations that possess extensive proprietary datasets and deep domain expertise can deliver recommendations that are more accurate and more actionable than generic solutions. They can identify patterns others can’t see and provide guidance that reflects years of operational experience.For SaaS companies, this represents a significant shift. The most resilient businesses will help customers act on stored data by connecting historical records to present-day decisions and transforming workflows into intelligence, allowing AI to solve real problems rather than simply automate existing processes.The Future of Customer Problem-solvingThe future of enterprise software will be defined by who can best combine intelligence, expertise, and operational context to help customers achieve better outcomes. Platforms built on years of historical data and real-world operational knowledge possess a distinct advantage.Analytics is emerging as the true differentiator in the SaaS space. Organizations that succeed will be those that transform proprietary data into actionable intelligence, helping customers make smarter decisions with greater confidence.