Automated Phishing Attacks: AI can generate convincing phishing emails, messages, and websites at scale, making social engineering attacks harder for people to recognize.Deepfake Scams: Generative AI creates realistic voices, images, and videos that criminals can use for impersonation, fraud, misinformation, and targeted social engineering attacks.Faster Malware Development: AI can help attackers modify malicious code quickly, potentially creating new variants that evade traditional detection systems and security controls.Automated Vulnerability Discovery: AI systems can analyze software and infrastructure rapidly, identifying weaknesses that attackers could exploit before organizations have enough time to patch.Smarter Cyber Defense: Security teams increasingly use AI to analyze enormous datasets, detect unusual behavior, prioritize threats, and accelerate incident response operations.AI-Powered Password Attacks: Machine learning can improve password guessing by identifying patterns, increasing the efficiency of credential attacks against vulnerable accounts and systems.Autonomous Cyberattacks: AI agents could eventually coordinate reconnaissance, exploitation, persistence, and lateral movement with limited human intervention, increasing attack speed dramatically.Real-Time Threat Detection: AI continuously monitors network activity and user behavior, helping security platforms identify suspicious patterns before they become serious incidents.AI Versus AI Security: Organizations and attackers are increasingly using competing AI systems, creating an escalating technological race between automated offense and defense capabilities.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Silencio 200T — Best for premium noise cancellation: Silencio 200T combines hybrid ANC, dual-mic ENC, large drivers and extended battery life, making it suitable for lengthy daily commutes.Silencio 111 — Best balanced ANC option: Silencio 111 balances strong hybrid ANC, comfortable listening, multiple EQ modes and long playback for workdays, travel and entertainment needs.Duke Plus — Best budget ANC choice: Duke Plus targets budget-conscious commuters with ANC, ENC, extended playback and gaming mode, delivering versatile functionality without premium pricing expectations.Thunder Neo — Best for clear calls: Thunder Neo focuses on clear calls through ENC, while dual pairing and quick charging make switching devices convenient during commutes.Thunder — Best affordable everyday option: Thunder offers ENC, Bluetooth 6.0, lengthy playback and gaming mode, providing essential wireless features for affordable everyday listening and calls.ANC — Essential for noisy commutes: Strong ANC helps reduce traffic, engine and surrounding noise, allowing commuters to enjoy music at comfortable listening levels during daily travel.ENC — Better call clarity outdoors: ENC improves microphone clarity during calls by reducing surrounding noise, making these headphones useful for work calls and conversations outdoors daily.Battery life — Crucial for long journeys: Long battery life reduces charging interruptions, an important advantage for commuters who spend several hours travelling or listening every day.Comfort — Important for all-day wearing: Comfortable earcups and lightweight construction matter for extended wear, helping reduce pressure and fatigue during lengthy listening sessions throughout travel.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Key Takeaways :Kar Saathi gives taxpayers simple AI-based guidance on ITR forms, tax rules and return procedures.India’s tax system now has fewer sections, rules and forms under the Income Tax Act, 2025.The AI tool can handle common questions, while complex tax matters may still need expert advice.Income tax filing in India has entered a new digital phase with Kar Saathi, an AI-powered tax assistant from the Income Tax Department. The department launched Kar Saathi as part of its wider plan to make tax services easier to understand and access.The government announced Kar Saathi on March 20, 2026, under the PRARAMBH 2026 tax awareness programme. The new Income Tax Act, 2025 also came into force on April 1, 2026. Kar Saathi now forms part of the department’s upgraded digital tax system and offers round-the-clock help with common tax questions.The basic idea remains simple. Instead of searching through long tax documents, forms and instructions, a taxpayer can ask a tax-related question in normal language. Kar Saathi then provides guidance on the relevant tax process.Why Kar Saathi Matters in 2026?The timing of this AI tool holds special importance. India has moved to a new income tax law after decades under the earlier framework. The new law aims to make the tax system shorter and easier to follow.The government has highlighted a major reduction in the size of the law. The number of sections has fallen from 819 to 536. The number of rules has dropped from 511 to 333. The number of forms has also declined from 399 to 190.These changes can make tax rules easier to understand, but taxpayers still face questions about which form to choose, which provisions apply and how to complete a return. Kar Saathi adds a conversational layer to this new system.Big Tax System Needs Simple Digital HelpThe scale of India’s tax system shows why such a tool can matter.For Assessment Year 2024-25, the Income Tax Department recorded 7.28 crore ITRs by July 31, 2024. The figure stood at 6.77 crore in the previous year, which marked 7.5% growth.The same period saw 58.57 lakh first-time ITR filers. On July 31 alone, taxpayers filed 69.92 lakh returns. At the peak, the portal handled 5.07 lakh ITRs in one hour and 917 ITRs in one second. More than 3.2 crore successful logins took place on July 31.The department also recorded 6.21 crore e-verified ITRs. Aadhaar OTP accounted for 5.81 crore of those verifications. The e-filing helpdesk handled about 10.64 lakh taxpayer queries during that filing period.These figures show the huge volume that the tax system handles every year. An AI assistant can take care of many basic questions and help taxpayers find the right information faster.Also Read - Russia Introduces New Tax Laws for Cryptocurrency TransactionsHow Kar Saathi Can Help With ITRs?Kar Saathi can guide taxpayers through several common tax tasks. These include questions about ITR forms, tax rules, deductions, refunds, notices, e-verification and other e-filing procedures.For example, a taxpayer with salary income, mutual fund capital gains and shares in an unlisted company may need help with ITR form selection. The answer depends on the nature of income and other details. ITR-2, for example, covers individuals and Hindu Undivided Families who do not have business or professional income but have certain situations such as capital gains, more than one house property or unlisted equity shares.A conversational assistant can explain the relevant conditions in simpler language and direct the taxpayer towards the appropriate form. This can reduce the need for repeated searches across tax documents.2026 Tax Filing Has Already Gone DigitalThe new system has moved beyond an early launch stage. The Income Tax Department’s portal now offers ITR-1 to ITR-5 for Assessment Year 2026-27 through online and offline utilities. ITR-6 and ITR-7 currently have Excel utilities available.The latest portal information also shows active tax services for the current assessment year. This gives Kar Saathi a live tax environment in which it can guide taxpayers through current procedures and forms.The 2026 tax cycle has also produced a fresh measure of the system’s scale. More than 5.9 crore ITRs had reached the Income Tax Department by July 31, 2026. The department’s official social media account also confirmed that figure.New Tax Rules Add More Reasons for AI HelpThe new tax regime has also changed several important tax calculations. For Assessment Year 2026-27, the new-regime slabs start with nil tax up to ₹4 lakh. Income from ₹4 lakh to ₹8 lakh attracts 5%, ₹8 lakh to ₹12 lakh attracts 10%, ₹12 lakh to ₹16 lakh attracts 15%, ₹16 lakh to ₹20 lakh attracts 20%, ₹20 lakh to ₹24 lakh attracts 25%, and income above ₹24 lakh attracts 30%.The Section 87A rebate also rose to ₹60,000 for eligible taxpayers with total income up to ₹12 lakh under the new regime.Such changes can create basic questions about tax liability, rebates and return details. Kar Saathi can help explain these provisions in a more direct format.Kar Saathi Does Not Replace Tax ExpertsKar Saathi can simplify common tax questions, but complex cases still need professional judgement. Issues related to complicated capital gains, foreign income, foreign assets, business income, disputes or tax litigation may require a chartered accountant or tax lawyer.The government also continues to support taxpayers through physical assistance centres. This shows that the new model does not depend only on AI. Digital assistance and human support can work together.Kar Saathi matters as India’s tax system grows digital and millions of taxpayers file returns each year. An AI assistant can make complex tax rules easier to understand, reduce confusion about forms and procedures, and give access to official guidance. Its role could make the tax return process less stressful. Why This Matters?What Kar Saathi Means for Indian Taxpayers?Kar Saathi marks a wider shift in India’s tax system. The government has reduced the size of the new tax law, redesigned its digital portal and added an AI assistant that works around the clock.The strongest numbers explain the need for this change. India handles more than 7 crore ITRs in a major filing cycle, while the latest 2026 season has already crossed 5.9 crore returns by July 31. With millions of taxpayers and a large number of first-time filers, simple access to tax information can make a real difference.Kar Saathi therefore represents more than a chatbot. It places an AI help layer at the front of India’s digital tax system and aims to turn difficult tax instructions into simpler answers. The real test will come from how accurately and consistently it handles the huge range of questions that arise during every ITR season.FAQs :What is Kar Saathi?Kar Saathi is an AI tax assistant from the Income Tax Department that helps taxpayers understand tax rules, ITR forms and return procedures.How can Kar Saathi help with ITR filing?It can explain form choices, tax rules, deductions, rebates, refunds, notices and e-verification in simple language.Is Kar Saathi available 24×7?Yes. The government designed Kar Saathi as a round-the-clock digital assistant for common taxpayer queries.Can Kar Saathi replace a chartered accountant?No. The tool can help with routine tax questions, while complex cases may require advice from a tax professional.Why did the government launch Kar Saathi?The government aims to give taxpayers easier access to tax information and reduce confusion around the new Income Tax Act, forms and return procedures.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Ethereum’s staking economy is tightening effective ETH float, but staking alone is unlikely to drive a sustained H2 2026 rally. Data shows that the amount of Ethereum (ETH) staked has reached a new all-time high, with approximately 41.7 million ETH currently staked, accounting for about 34% of Ethereum’s total supply. Meanwhile, ETH’s price has weakened, declining from around $3,400 in January to approximately $1,900. Despite this, staking volume continues to grow. Market analysis suggests that as the number of staked ETH increases, the staking reward mechanism continues to generate returns, with validators consistently receiving rewards and reinvesting a portion back into staking, further expanding the total staked ETH. This creates a holding incentive, but weak fee burn, positive net issuance, and restrictive macro conditions mean price upside still needs stronger network usage and institutional inflows. Estimates say Lido holds 9.46 million ETH, equivalent to roughly 22.9% of total stake, and currently quotes about 2.2% APR. DeFiLlama’s broader liquid-staking category holds roughly $35.16 billion in TVL. On-chain Staking DynamicsStaking removes base ETH from immediately tradable supply, although liquid-staking tokens such as stETH restore transferability and DeFi collateral utility. The staked share was already at a record 33.33% in late July and is now near 34%. Validators earn consensus rewards plus priority fees and MEV when proposing blocks. Risks include downtime and slashing; Lido’s nearly 23% share also keeps staking concentration in focus.  Supply, Issuance and BurnEIP-1559 burns base fees, while proof-of-stake issues new ETH to validators. Ultrasound money’s recent seven-day annualized rates imply approximately 1.07 million ETH of annual issuance versus only about 9,000 ETH burned, roughly 2,940 issued and 25 burned per day. If sustained, this suggests nearly 88,000 ETH of net new supply monthly. Recent staking growth can reduce freely available base ETH faster than issuance expands supply, but stETH means ‘staked’ does not necessarily mean economically illiquid. Institutional DemandInstitutional staking access has changed materially. BlackRock’s iShares Staked Ethereum Trust ETF held 194,989 ETH at March 31, of which 153,136 ETH was staked, according to its SEC filing. Grayscale’s ETHE reported 2.10% net staking rewards as of August 7, while its Ethereum Staking Mini ETF reported 2.61%. Ethereum ETFs also attracted approximately $359 million of net inflows in July. Also Read: Ethereum Price Prediction for August 2026Price ImplicationsStaking and price are not mechanically correlated. The staking ratio reached records even as ETH remained more than 60% below its August 2025 all-time high near $4,946. Glassnode publishes a staking series, but the evidence supports treating staking as one variable rather than a standalone price model. Staking is a bullish structural support, not a complete H2 2026 thesis. ETH’s prospects improve if ETF demand, network fees and EIP-1559 burn strengthen while staking remains elevated. Investors should view the roughly 2.6% staking yield as carry, not guaranteed appreciation, and account for ETH volatility, slashing, smart-contract, liquidity, concentration and macro risks. FAQs:1. How much Ethereum is currently staked?Approximately 41.7 million ETH is currently staked, representing roughly 34% of Ethereum’s total supply. The rising staking ratio indicates that holders continue committing ETH to network validation despite weaker prices.2. How does staking affect the price of Ethereum?Staking can reduce the amount of base ETH immediately available for trading, potentially tightening supply when demand increases. However, liquid-staking tokens such as stETH mean staked ETH is not necessarily completely removed from market liquidity.3. What returns can investors earn from Ethereum staking?Staking yields vary depending on the platform and method used. Lido currently quotes an APR of around 2.2%, while some institutional staking products have recently reported net staking rewards of roughly 2%-2.6%.4. Why could Ethereum ETFs matter for staking demand?Staking-enabled investment products allow institutional investors to gain ETH exposure while also capturing staking rewards. If adoption increases, these products could create an additional source of structural demand for ETH.5. Can staking push ETH higher in the second half of 2026?Staking could provide meaningful structural support by reducing freely available ETH and creating yield-based holding incentives. However, a sustained rally would likely also require stronger ETF inflows, higher network activity, increased fee burns and supportive macroeconomic conditions.

GTA 6 is releasing globally on November 19, 2026, on consoles. In India, the Standard Edition of the game will cost around Rs. 5,999, while the Ultimate Edition will cost Rs. 7,499. However, there is a surprise for gamers who still prefer physical games. The retail box will not have a Blu-ray disc, instead, buyers will get a download code.In one of his recent interviews, Take-Two CEO Strauss Zelnick said, “It doesn't really make sense for the consumer when the game is this big. Sony is withdrawing the physical discs for PlayStation games from January 2028, and Take-Two Interactive will make the same decision 14 months earlier.”For GTA 6, players who want a physical edition have to go to a retail store, purchase a box containing the game, and then they get the code inside, instead of the physical disc. Once the code is redeemed on the Xbox or PlayStation Store, the game will be available for download like a digital purchase. Players who buy the game physically before November 20 will receive the Vintage Vice City Pack as a bonus. A significant percentage of Take-Two’s business is already digital. The change also does not seem to have hurt demand. Zelnick called GTA 6 pre-orders ‘unprecedented’ and ‘astonishing,’ although he did not share sales numbers.This could be a big change for Indian gamers. A disc can be sold, lent to a friend, or bought second-hand. A redeemed download code cannot be used in the same way. Buyers will also need enough storage space and an internet connection to download the game.Also Read: PlayStation Fans Slam Sony Over Disc RemovalWhat GTA 6 Means for Indian GamersGTA 6 could be an early sign of where console gaming is heading. Physical boxes may remain on store shelves, but the disc inside could slowly disappear.This matters in India, where used games can help players save money. Someone who spends Rs. 5,999 on GTA 6 may not recover part of that cost by selling the game later.GTA 6 is still one of the biggest game launches in years. Its huge pre-order demand shows that players are ready to buy it. However, the missing disc may also change what Indian gamers expect from a physical game.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview:Use the spoiler-free clues to work through today’s four Quordle grids.Check the starting letters and repeated-letter clue to narrow down the possible answers.Scroll further only when you’re ready to reveal today’s complete Quordle solutions.Quordle players looking for help with today’s puzzle can use the clues below before revealing the four five-letter answers. The August 11 puzzle brings together words linked to the start of something, a fistfight, lukewarm water, and informal language used in everyday conversation.Unlike traditional word games, Quordle requires players to solve four words simultaneously. Every guess is applied to all four grids, making it important to track letters, their positions, and possible word patterns.Quordle Hints for August 11Players who are stuck can use the following clues without immediately giving away the answers.Word 1 (Top Left): The start of something.Word 2 (Top Right): A fistfight.Word 3 (Bottom Left): Like lukewarm water.Word 4 (Bottom Right): Informal language used in everyday conversation.There is another clue for players who need an additional push. One of today’s words has a pair of repeated letters.The four answers begin with O, B, T, and S, respectively.One Last Clue Before AnswersThe starting letters can help narrow down the possibilities. Look for a five-letter word beginning with O and linked to a beginning, a B word describing a fistfight, a T word meaning lukewarm, and an S word associated with informal everyday language.If you want to solve the puzzle without spoilers, this is the point to stop reading.Quordle Answers for August 11Spoiler alert: The four answers to today’s Quordle are:ONSETBRAWLTEPIDSLANGWhat do Today’s Quordle Answers Mean?ONSET: Refers to the beginning or start of something, particularly an event or condition.BRAWL: Describes a rough or uncontrolled fight, usually involving several people.TEPID: Means slightly warm or lukewarm and is commonly used to describe water or another liquid.SLANG: Refers to informal words and expressions commonly used in everyday conversation.How Difficult was Today’s Quordle?Today’s Quordle uses four familiar words, but the clues come from different categories. ONSET and TEPID can be narrowed down through their definitions, while BRAWL is a direct fit for the fistfight clue. SLANG becomes easier with the starting letter and its connection to informal speech.The varied clues make this Quordle a test of vocabulary, letter recognition, and interpretation. Players who solved all four without checking the answers have cleared today’s challenge.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

NVIDIA announced partnership with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent financing platforms focused on large-scale computing infrastructure. The initiative is designed to make data centres and related computing capacity easier to finance through institutional capital rather than relying solely on technology companies to fund expansion from their own balance sheets.Wall Street Enters the Data Centre Financing RaceThe partnership marks a significant step in the growing relationship between technology companies and private capital. Demand for computing capacity has surged as businesses, cloud providers and technology developers expand their data centre footprints.Under the new model, financial institutions will assess projects based on factors such as expected demand, utilization, cash flow and the residual value of the infrastructure. This approach could allow computing facilities to be treated more like traditional infrastructure assets, opening the sector to a much broader pool of long-term investors.NVIDIA said the financing platforms are expected to mobilize more than $500 billion in third-party capital. The company could potentially backstop up to $125 billion, or approximately one-quarter of the targeted financing, although the precise structure and timing of individual transactions have not yet been disclosed.NVIDIA Moves Beyond Selling ChipsThe announcement represented an important expansion of NVIDIA's role in the technology infrastructure market. The company is best known for supplying the processors used in advanced computing systems, but its latest strategy places it closer to the financing and development of the facilities where those systems operate.The company described these facilities as ‘AI factories’, large computing sites designed to process workloads and generate services for customers. NVIDIA argued that financing these facilities as productive infrastructure could make it easier for developers, governments, enterprises and cloud operators to secure the computing capacity they need.The push came as major technology companies commit enormous sums to expanding data centre capacity. Reuters reported that major technology companies are expected to spend more than $730 billion this year on capital expenditure, highlighting the scale of the infrastructure buildout currently underway."Compute has become a critical infrastructure asset," KKR co-Chief Executives Joe Bae and Scott Nuttall said, highlighting the firm's interest in combining NVIDIA's computing platform with KKR's infrastructure and capital-markets expertise.Also Read: G42 Joins NVIDIA's Open AI Alliance with 37 Global Tech LeadersWhat the Financing Push Means for NVIDIAFor NVIDIA, bringing institutional investors into infrastructure financing could help accelerate deployment of its hardware while potentially creating a larger and more predictable customer base. It also reflects a broader shift in the technology industry, where computing infrastructure is increasingly viewed as a long-term investment opportunity rather than simply an operating expense.However, the scale of the proposed financing also raises questions about demand and returns. Investors will need to assess whether future data centres can generate sufficient revenue and utilisation to justify the capital being deployed.With no detailed timetable for the $500 billion target yet announced, the success of NVIDIA's strategy will depend on how quickly projects are approved, financed and brought online. For now, the partnership signals that Wall Street is becoming increasingly involved in funding the infrastructure needed to support the next phase of the global technology industry.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

WhatsApp is testing a new search button for iPhone users who want to find old messages faster. The feature appeared in iOS beta version 26.31.10.70 through TestFlight on August 10. WhatsApp is working on the tool to make searching within long chats easier. The new button could open chat search directly without opening the chat information page. WABetaInfo spotted the feature while checking the latest WhatsApp beta for iOS.The new search button would appear when users scroll up through older messages in a chat. It would sit near the bottom of the screen and offer quick access to search. Tapping the button would open the usual search box inside the same conversation. WABetaInfo said, “This would let users enter search mode without ever leaving the chat.”The button would also hide when users return to the newest messages. This keeps the chat screen simple and avoids adding another permanent button.The current iPhone method takes more steps to find an old message. Users need to open the chat, tap the contact or group name, then choose Search. The new shortcut could reduce this process to a single tap.The feature could help people who often search through long group chats or older conversations. It could make finding old links, plans, names, files, or other details much quicker.WhatsApp has also made other search changes on iPhone recently. The company has worked on better search filters, recent searches, and search tools for older Channel posts.The new in-chat search shortcut remains under development and is not available to regular users. WhatsApp has not shared a public release date for the feature. The company could also make changes before releasing it more widely.Also Read: 200+ WhatsApp Group Names for School, Office, Travel, Gaming FriendsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

The FTSE 100 opened 22.37 points lower at 10,840.13 as Middle East concerns continued to weigh on sentiment and send oil higher. Brent crude futures rose 1.78% to $89.28 per barrel. US West Texas Intermediate (WTI) rose 1.85% to $83.65 per barrel. Sterling fell to $1.3511 on Tuesday from $1.3522 in the previous session. Against the euro, it fell to €1.1702 from €1.1708.Gainers, LosersOn the upside, BP climbed 1.62% to 533.10p. Lion Finance Group advanced 1.28% to 12,660p, while Shell gained 1.21% to 3,338p. Babcock International Group rose 1.13% to 1,204p, IG Group Holdings added 1.10% to 1,375p, and Scottish Mortgage Investment Trust gained 1.00% to 1,418.50p.On the downside, Spirax Group plunged 9.61% to 6,915p. IMI declined 1.46% to 3,096p, while Diploma slipped 0.66% to 7,530p. Next fell 0.64% to 15,530p, Coca-Cola Europacific Partners dropped 0.57% to 7,815p, and AstraZeneca edged 0.47% lower to 11,934p.Seeing Machines Revenue JumpedSeeing Machines has shifted into profitability following a boost from high-margin royalties and new European safety legislation. The group, which builds camera and AI software, reported a 45% jump in revenue to $76.3 million, up from $52.8 million. In the second half of the year, revenue surged 128%. This came from a 135 year-on-year jump in royalties revenue to $33.9 million after global car manufacturers rapidly scaled up integration of Seeing Machines’ systems in light of new European legislation. The firm expects earnings before tax to come between $10.7 million and $11.7 million for the second half, a swing from a $13.7 million loss in the first half. It expects to close the fiscal year with $4.3 million in cash.Heathrow Recorded Busiest Day of the YearHeathrow said it recorded its busiest day of the year so far despite a slight fall in overall passengers compared to the same time last year. UK’s busiest airport said 7.85 million passengers had passed through the hub through July, down 1.5% on last year. The airport marked its busiest day of 2026 on the 19th July as 267,000 passengers flew through the airport. “Expanding Heathrow will help ensure the UK remains home to Europe’s leading hub and continues to benefit from the trade, investment and tourism that increased connectivity will bring,”  said Thomas Woldbye, chief executive.Funding Circle Secures £500M CommitmentFunding Circle has landed a £500 million funding commitment from investment manager Castlelake. The finance platform revealed Castlelake had joined its backers, which the firm says reflects the performance of its technology, data and credit expertise. “This agreement further expands our deep and diverse funding base and means we can say yes to even more small businesses, putting vital funding to work to support the real economy and drive economic growth across the UK,” Dipesh Mehta, chief capital officer at Funding Circle, said. Also Read: S&P 500 Holds Near Record High as Oil Gains and Technology Stocks FallGlobal Market ViewIn the US, the Nasdaq led stocks lower at Monday's close, down 0.3%. The Dow Jones Industrial Average fell 0.1%, and the S&P 500 dropped 4 points. In Asia on Tuesday, Tokyo's Nikkei 225 rose 2.08% to 66,970.22, while China’s Shanghai Composite dipped 0.82%. Hong Kong’s Hang Seng declined 0.97%, and South Korea’s Kospi edged higher by 0.73%. In India, both the Nifty 50 and the Sensex fell by 0.54% and 0.46%, respectively.

As of August 11, 2026, the XRP ETFs combined hold a total net inflow of $950.05 million. However, XRP trades near $1.01 with a decline of 2.38% in the past 24 hours, while falling 6% over the last seven days and its 30-day realised volatility is roughly 50%, suggesting ETF inflow has not created a durable price floor. XRP ETF Inflows Slow SharplyOn September 17, 2025, the SEC approved generic listing standards allowing qualifying commodity-based crypto ETPs to list without separate 19b-4 approval for each product. Canary’s XRPC launched in November, followed by Bitwise, Franklin Templeton and Grayscale products. US XRP products had attracted about $1.2 billion of net inflows by January 2, 2026, yet the latest signal is softer. XRP ETFs logged a fourth consecutive week of inflows in early August, but the weekly amount fell about 93% to roughly $1 million. “XRP’s positioning looks patient in its own right, with order flow staying large even as volume metrics turn neutral, quiet absorption rather than capitulation or a confirmed breakout,” Iliya Kalchev, analyst at Nexo, said in an email.Bitwise’s fund held 296.7 million XRP as of August 9, while Franklin’s XRPZ held 240 million XRP as of August 6, both use Coinbase Custody. Coinbase reported $245.9 billion of total customer assets on the platform at June 30, although XRP-specific institutional custody outside disclosed funds remains unspecified. Market, Custody, On-Chain SignalsCoinGecko showed about $936 million of 24-hour volume and a $63.3 billion market capitalization. XRP-linked fund returns underscore weak 2026 performance; Bitwise was down 41.7% YTD through July 30 and Franklin 43.1% through August 6. Glassnode showed 41,842 active addresses over 24 hours, and 30-day annualised realised volatility of about 50.1%. Its seven-day correlation with Bitcoin was about +0.70; a comparable current XRP-ETH coefficient was unspecified. Labeled exchange wallets held roughly 12.7 billion XRP, about 20% of circulating supply, although Glassnode warns recent data can change as labels update. CryptoQuant reported that transfers above 1 million XRP represented 55.3% of Binance XRP outflow value in early August.Cross-exchange 1% market depth was unspecified, but major XRP ETFs showed 30-day median bid-ask spreads near 0.08%-0.09%. Also Read: How XRP Ledger is Building a Privacy Layer for Tokenized Wall Street AssetsConclusionBitwise warns that US or foreign regulation can adversely affect the fund. The next rally therefore depends more on sustained net creations, declining liquid exchange supply and broader crypto risk appetite than on ETF availability. For investors, growing ETF AUM is constructive, but slowing weekly flows, 50% volatility and high Bitcoin correlation argue against assuming institutional demand alone will lift XRP. A stronger bullish signal would be persistent ETF inflows. FAQs:1. How much money has flowed into XRP ETFs in 2026?Combined XRP ETF net inflows stood near $950 million as of August 11, 2026. Earlier in the year, US XRP products had attracted about $1.2 billion before subsequent redemptions reduced cumulative flows.2. Are XRP ETF inflows pushing the XRP price higher?Not consistently. XRP was trading near $1.01 despite continued ETF demand, showing that fund inflows have so far been insufficient to offset broader selling pressure and weak crypto market sentiment.3. Which XRP ETFs hold the most assets?Bitwise’s XRP ETF and Franklin Templeton’s XRPZ are among the largest products. Bitwise held roughly 296.7 million XRP, while Franklin held around 240 million XRP in early August.4. Could institutional demand trigger the next XRP rally?Yes, but institutional flows would likely need to remain consistently strong. Rising ETF creations combined with declining exchange supply and improving broader crypto sentiment would provide a more convincing bullish setup.5. What are the biggest risks for XRP investors?Major risks include XRP’s roughly 50% realised volatility, changing ETF flows, regulatory developments and its high correlation with Bitcoin. Large exchange balances can also create additional selling pressure during weak markets.

Adani Group stocks rallied up to 3% on Tuesday after a US court ended a legal overhang. Adani Green Energy led gains, while Adani Enterprises, Adani Ports and Adani Power advanced across Indian exchanges. The market remained weak as rising crude prices and uncertainty surrounding the US-Iran deal weighed on sentiment. The rally followed Judge Nicholas Garaufis’ dismissal of criminal charges against Gautam Adani and Sagar Adani in Brooklyn.The dismissal with prejudice permanently bars the criminal case from being reopened, sharply reducing event risk for investors. According to court proceedings, the ruling also covered Adani Green Energy Chief Executive Vneet Jaain. US prosecutors accused the defendants in 2024 of bribery and misleading American investors during fundraising.Adani Group rejected those allegations and maintained compliance with applicable laws and regulations throughout proceedings. The ruling now shifts attention toward group performance, cash flows, expansion plans and infrastructure projects. Broad buying pushed the market value of ten listed Adani companies above Rs. 18 lakh crore.Adani Green Energy climbed about 3.4%, while Adani Enterprises gained around 1.7% during trading today. Adani Ports rose 1.4%, while Adani Power, Adani Energy Solutions and Adani Total Gas also advanced. ACC, Ambuja Cements and NDTV also joined the broader group's move with smaller gains across counters.Abhishek Bhilwaria, Partner at BhilwariaFinserv, said the move reflected a “massive sigh of relief” among investors. The market could now refocus on growth, cash flows and major domestic infrastructure projects, Bhilwaria said.Gautam Adani welcomed the decision through a post on X, calling it ‘humility and deep respect.’ The post highlighted continued faith in truth, fairness and the rule of law throughout proceedings.The rally shows how legal clarity can outweigh weak market sentiment in the short term. Global risks remain, however, as crude prices and geopolitical uncertainty could continue influencing Indian equities.Also Read: Adani Energy Shares Climb to Rs. 1,553 After Rs. 10,000 Crore Fundraise PlanJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

AirPods Pro 2: Best overall deal: Look for discounts on AirPods Pro 2, offering active noise cancellation, transparency mode, and strong everyday performance.AirPods 4: Best affordable option: AirPods 4 remain a practical choice for shoppers seeking Apple’s latest design, reliable audio, and lower pricing.AirPods 4 with ANC: Best noise cancellation: The ANC-equipped AirPods 4 deliver noise cancellation in a compact design, making them ideal for commuting and travel.AirPods Pro 3: Premium upgrade: Shoppers seeking Apple’s newest premium earbuds should compare AirPods Pro 3 pricing, features, and available Prime Day discounts.Check Amazon’s limited-time discounts:  Prime Day pricing can change quickly, so compare current AirPods prices before completing your purchase during the sale.Compare older and newer models: Older AirPods generations may offer deeper discounts, but newer models can provide better features and longer software support.Watch for coupon-based savings: Some AirPods listings may combine sale prices with additional coupons, potentially lowering the final checkout price significantly.Consider Apple ecosystem compatibility: AirPods work particularly well with iPhone, iPad, Mac, and Apple Watch, making them valuable for existing Apple users.Buy before Prime Day ends: Prime Day offers are time-sensitive, and popular AirPods models can return to regular pricing once promotional deals expire.Read More StoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Almost every retail trading platform now advertises artificial intelligence. Far fewer explain which part of the workflow the machine has actually taken over, and that distinction is the only one that matters when comparing them against each other. OneRoyal tops this ranking for covering more of that workflow inside one account than any other platform on the list.Retail trading AI clusters into five distinct jobs: generating signals, reading sentiment from news and social text, scanning markets for setups that match criteria, recognising chart patterns, and tracking scheduled events. Each relies on different techniques, and almost no platform covers all five, which is why two platforms can advertise the same three letters and deliver almost nothing in common.Signal generation and pattern recognition lean on supervised machine learning trained on historical price series. Sentiment work runs on natural language processing applied to news wires and social feeds. Scanning sits closer to conventional rules-based filtering with machine learning layered over the ranking, which is why it reached retail products first and remains the cheapest of the five to build.How the seven were rankedCoverage of the five jobs came first: how many a platform automates natively, not just claims to. Depth came second, meaning whether the output is usable on its own or merely a starting point. Asset coverage came third, since automation confined to one asset class has a ceiling. Independent recognition of the technology counted last, as corroboration.1. OneRoyalThe AI research tools map onto all five jobs directly, and OneRoyal is the only platform on this list where that is true. Signal generation runs through SignalX. Sentiment reading is handled by Action News, processing market-moving text as it lands. Discovery sits with AssetIQ and a market scanner. Chart pattern work is automated by Autochartist, and scheduled events are tracked through an integrated economic calendar. The whole suite runs on Acuity, with no separate subscription attached to any of it.In fairness, the calendar is the least model-driven of the five, closer to a structured data feed than to machine learning, and most brokers offer one. The other four are where the real separation from the rest of this list sits.Coverage runs across more than 2,000 CFD instruments, with currency pairs, equities, commodity and index exposure all reachable from the same terminal. Asset breadth matters more than it appears: automation trained only on American stocks becomes useless the moment a trader looks at oil or a currency cross.Jeddah Fintech Week named the platform Best AI Trading Technology in 2025, and Global Forex Awards Retail gave it Best AI Tools Global the same year. Twenty years of operating history sit behind the brand, which now reports clients across 163 countries, subject to local availability rules.2. TrendSpiderChart pattern recognition is what this one automates well. Trendlines, support and resistance levels and Fibonacci retracements get drawn without manual input, across stocks, forex, crypto and futures. Beyond the drawing itself, users can train predictive models without writing code, and an assistant will read a chart and answer questions about it in plain language. Scanning and sentiment stay outside its remit.3. Trade IdeasOpportunity discovery is the whole product. Holly, its signal engine, works through American equities continuously and surfaces intraday candidates with entry, exit and stop levels already defined, a narrower job than most platforms here attempt and a more finished output than any of them deliver. Charting stays deliberately thin.4. TradingViewJudged strictly on automation, this sits below its reputation.The analytical work stays manual by design. What sits underneath is a scripting language that has let users publish an enormous public catalogue of custom indicators, plus conditional alerts, and orders route out to a linked brokerage for execution.5. eToroPortfolio replication is the automated function here, not signal generation. CopyTrader mirrors a chosen investor's positions in real time, a genuine form of automation even though no model is generating the underlying decisions. Smart Portfolios apply that same idea through an in-house investment team instead of an algorithm. Research tooling is lighter than elsewhere on this list.6. Interactive BrokersAggregation is the automated part: an unusually wide instrument universe spans dozens of global exchanges, with external research feeds subscribed to individually and consolidated into one interface. Interpretation stays with the trader, and assembling that stack takes real configuration effort.7. Saxo BankAutomation is where this one finishes last, and not for a weak reason. Its strength runs the other way entirely, toward analysis written by people and published daily across macro and single names, which is exactly what appeals to anyone who trusts a strategist's judgment over model output. Measured purely on what gets automated, though, seventh is where it lands.What the ranking can't tell youWhere a platform lands here shows what it automates. It says nothing about how reliably. The Bank of England noted in its July 2026 Financial Stability Report that professional trading firms are deploying autonomous AI mainly for research, coding support and surveillance, not for fully autonomous trading, pointing to the difficulty of anticipating AI outputs reliably in markets where relationships shift without warning.If institutions with dedicated quantitative teams are keeping AI in an advisory role, retail traders evaluating any platform on this list should calibrate the same way. Coverage of a job is a different claim from trustworthiness in executing it.Match the platform to the specific job that needs automating. Ignore the size of the claim on its homepage. OneRoyal earns the top spot here for covering all five, four of them genuinely model-driven and one a structured data feed, in a single account with nothing else to subscribe to.Disclaimer: This material is provided for general information and educational purposes only. It does not constitute investment advice, investment recommendation, financial promotion, or an offer to buy or sell any financial instrument or crypto asset. Trading CFDs and/or crypto-related products involves a high level of risk and may not be suitable for all clients. You should not trade with funds you cannot afford to lose. Past performance and market sentiment are not reliable indicators of future results.

Bitcoin’s increasing institutional adoption strengthens its position as the ‘digital gold.’ However, 2026 data still shows a clear gap between Bitcoin and gold, especially around stability, the level of institutional demand, and any real downside protection.Gold Leads on Performance, StabilityAs of August 11, 2026, Bitcoin was trading near $64,000, while spot gold sat around $4,433 per ounce.Over the past year, Bitcoin declined nearly 46% from around $118,731 in August 2025. Gold, on the other hand, has advanced approximately 32% from close to $3,358 over the same stretch.Over three years, both have delivered solid returns. Bitcoin has climbed around 117% from about $29,398 in August 2023, and gold has gained roughly 132% from near $1,914.The difference becomes clearer during market declines. Bitcoin dropped from its October 2025 record near $126,000 to around $60,018 in February 2026, representing a drawdown of about 52%. Gold’s fall from roughly $5,595 in January to around $4,030 in early August was closer to 28%.Bitcoin’s 30-day realised annualised volatility also stood at 32.3%, compared with a 27.3% implied-volatility proxy for gold.Institutional Demand Tells Two Different StoriesGold continues to benefit from demand that Bitcoin has yet to replicate: central-bank buying.Central banks purchased a net 345 tonnes of gold during the first half of 2026. Poland added 82 tonnes, while China purchased around 40 tonnes.Gold ETFs also recorded approximately $11 billion of net inflows through July, equivalent to 39 tonnes. Total global gold ETF assets reached around $530 billion.Bitcoin’s institutional presence remains significant. US spot Bitcoin ETFs held approximately $79.5 billion in net assets by August 7, while BlackRock’s IBIT alone accounted for roughly $47.8 billion.However, Bitcoin ETF flows have been weaker this year, with estimated net redemptions of around $4.7 billion through August 10.Bitcoin’s Hedge Behaviour Remains UnstableBitcoin’s relationship with gold also remains inconsistent. Its 30-day correlation with gold stood at just +0.12, while the 90-day correlation had already drifted above +0.60. Earlier in 2026, that correlation had slipped down close to -0.80.This abrupt change implies that Bitcoin can, at times, align with gold, but the relation still seems inconsistent to label BTC as a steady safe haven asset.Also Read: How Central Bank Gold Buying is Supporting the Gold Price Rally?ConclusionBitcoin is clearly becoming more institutional, but 2026 data does not yet support the idea that it has replaced gold as a hedge.Gold currently offers stronger defensive characteristics through central-bank accumulation, positive ETF inflows, lower drawdowns and stronger one-year returns. Bitcoin, meanwhile, continues to behave more like a high-volatility macro asset influenced by liquidity and investor risk appetite.For investors, Bitcoin may work better as a complement to gold rather than a substitute. Gold remains the stronger defensive asset, while Bitcoin offers higher potential upside alongside significantly greater risk.

OnePlus has started the closed beta of ColorOS 17 for the OnePlus 15 and OnePlus 15R in India, marking the first public step toward replacing OxygenOS. The company opened applications on August 6 and 7 for Indian users, offering only 300 testing slots for each device. The beta aims to collect feedback before a wider rollout while helping OnePlus prepare its transition to Oppo's unified software platform.The program is available only for Indian variants of the OnePlus 15 and 15R running supported firmware versions. Selected users must hold a OnePlus Community account, sign a confidentiality agreement, and join an official Telegram group for direct interaction with the software team. OnePlus also warned that the beta may include crashes, app compatibility issues, and unexpected bugs, making regular data backups essential.ColorOS 17 represents a major software change for the brand as OnePlus moves away from OxygenOS. The company previously said the transition would combine engineering resources with Oppo, helping deliver faster updates and a more consistent software experience across devices.The latest beta also gives Indian users an early chance to experience the redesigned interface before the stable release. Reports suggest ColorOS 17 introduces refreshed visuals, stronger AI features, improved memory management, and better customization while keeping the shared software foundation that already powers recent OnePlus devices. OnePlus has not announced the stable rollout timeline or confirmed how the migration will affect long term software policies. Testers can expect regular updates during the closed beta, while most users will likely wait for the stable release before making the switch. OnePlus said the software will provide a "more stable, reliable, and future-ready software experience" as the company completes its transition to ColorOS. Also Read: OnePlus Freedom Sale 2026: Top Discounts on Smartphones, Tablets, and AccessoriesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Key Takeaways :Faster voice AI: Realtime 2.1 cuts p95 latency by at least 25% through improved caching.More capable agents: The API supports audio, images, function calls, MCP, WebRTC, WebSocket, and SIP.More pricing flexibility: Realtime 2.1 mini offers lower audio costs for high-volume voice applications.OpenAI Realtime API gives software a direct path to natural voice conversations. A traditional voice system may turn speech into text, send it to a language model, then turn the answer back into speech. Realtime can handle speech-to-speech dialogue in one model flow. This design cuts delay and helps an AI agent react to pauses, interruptions, noise and changes in speech.The latest models, GPT-Realtime-2.1 and GPT-Realtime-2.1 mini, arrived in July 2026. OpenAI says these models cut p95 latency by at least 25% across Realtime voice models through better cache use. GPT-Realtime-2.1 also adds better alphanumeric recognition, silence and noise control, interruption behavior, instruction control and tool use. These changes matter when a wrong number or poor interruption response can harm a call.How the Realtime API Works?A Realtime session keeps a live connection between an app and the model. Audio can move into the session and back from the model with very little delay. The API supports WebRTC, WebSocket and SIP, so developers can choose a setup that fits the product.WebRTC fits browser and mobile apps. WebSocket suits server-side systems. SIP opens a path to phone systems and call centers. The model can also use text and images along with audio. Realtime 2.1 supports function calls, so the model can ask an external system for an order check or account lookup.This setup can turn a voice assistant into a useful agent rather than a simple chatbot. A customer can ask about an order, and the agent can check company data before it gives an answer. The same process can work with account details, appointments, support cases and other business tools.Realtime 2.1 and Realtime 2.1 MiniGPT-Realtime-2.1 targets cases that need better logic, tool use and instruction control. Its price is $4 per 1 million text input tokens, $24 per 1 million text output tokens, $32 per 1 million audio input tokens and $64 per 1 million audio output tokens. Image input costs $5 per 1 million tokens; cached audio input costs $0.40 per 1 million tokens.GPT-Realtime-2.1 mini targets high-volume and cost-sensitive voice products. It costs $0.60 per 1 million text input tokens, $2.40 per 1 million text output tokens, $10 per 1 million audio input tokens and $20 per 1 million audio output tokens. Image input costs $0.80 per 1 million tokens; cached audio input costs $0.30 per 1 million tokens. Both models have a 128K context window.The price gap matters at large call volumes. Realtime 2.1 mini has audio input and output rates about 3.2 times lower than the full 2.1 model. This makes the mini model a strong fit for services with many simple voice requests.Also Read - OpenAI Responses API: Features, Use Cases, ExamplesWhen the Realtime API Makes Sense?The API fits products where voice forms the core experience. Customer support shows the value. A caller can explain a problem while the agent checks account data, finds an order, calls a tool and gives an answer.Phone agents offer another strong use case. SIP support lets a voice agent connect to phone infrastructure rather than old menu trees. The agent can choose the right tool or service from plain speech.The API also fits language practice, hands-free assistants and field support. These products need quick replies and a natural flow. A delay can make a voice conversation feel stiff, even when the answer itself remains correct.Realtime also fits cases where an agent must act during a conversation. A voice assistant can check stock, access a customer record or request a service through an external tool. That ability gives the API a clear role in customer service and other task-based voice products.When a Different API Works Better?Realtime does not suit every AI task. A text chatbot can use the standard Responses API with less system complexity. A large batch of recorded calls may suit a transcription model. A product that only needs speech-to-text does not need a full speech-to-speech agent. A simple text-to-speech feature also needs no Realtime session.This distinction can save both development effort and API cost. Realtime makes the most sense when a product needs live voice dialogue, quick replies and direct tool access. A standard API can offer a cleaner design when those needs do not exist.Also Read - 5 Ways OpenAI’s NextSlide Acquisition Could Transform ChatGPTBigger Shift in Voice AIOpenAI's July 2026 launch of GPT-Live shows the wider direction of voice technology. GPT-Live uses a full-duplex design, so the model can listen and speak at the same time. It can react to pauses, interruptions and changes in pace before each turn ends.That shift gives the Realtime API a larger role. It no longer looks like a basic voice layer for a chatbot. It supports agents that can hear, reason, speak and act in one live conversation.For serious voice products, GPT-Realtime-2.1 offers the stronger option, while GPT-Realtime-2.1 mini gives high-volume products a lower-cost path. The right choice depends on call complexity, tool use, response quality and total audio volume.FAQs1. What is the OpenAI Realtime API?The OpenAI Realtime API helps developers build live voice applications that can hear speech, respond with audio, understand images, and call external tools.2. What are the latest Realtime models?The latest models are GPT-Realtime-2.1 and GPT-Realtime-2.1 mini. Both offer a 128K context window and support audio, text, images, and function calling.3. How much does Realtime 2.1 cost?Realtime 2.1 costs $32 per 1 million audio input tokens and $64 per 1 million audio output tokens. Realtime 2.1 mini costs $10 and $20 respectively.4. When should the Realtime API be used?The API fits live voice agents, customer support, phone systems, language practice, hands-free assistants, and services that need real-time tool use.5. Does Realtime API support phone calls?Yes. SIP support allows Realtime agents to connect with phone infrastructure, which makes the API useful for call centers, phone support, and conversational IVR systems.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Good morning! Here’s your quick roundup of today’s biggest developments across AI chips, deep-tech startups, hiring trends, crypto, and AI security.What’s New Today: Microsoft is all set to unveil its next-generation Maia 300 AI chip as it looks to reduce reliance on NVIDIA. Deep-tech startup Discovered Materials has raised $9 million to accelerate AI-powered semiconductor materials discovery. India’s fresher hiring outlook has improved overall, although IT hiring intent has weakened. Trump Media reported a $238.1 million quarterly loss as cryptocurrency holdings declined. Meanwhile, an OpenClaw AI agent hacked a gym booking system, highlighting the security risks of increasingly autonomous AI systems.Fast-Track InsightsMicrosoft prepares to unveil its next-generation Maia 300 AI chip.Discovered Materials raises $9 million in seed funding.Fresher hiring rises overall as IT demand cools.Trump Media reports a $238.1 million quarterly loss.OpenClaw AI agent hacks a gym booking system.Microsoft Eyes New AI Chip to Challenge NVIDIAMicrosoft is reportedly preparing to unveil its next-generation Maia 300 AI chip as early as September. The move comes as major cloud companies develop custom processors to reduce their dependence on NVIDIA’s AI accelerators. Microsoft is also reportedly seeking significant manufacturing capacity from TSMC as it scales its in-house AI silicon strategy. The Maia 300 push could strengthen Microsoft’s position in the growing AI infrastructure market.  Read MoreDiscovered Materials Raises $9 Million in Seed FundingDeep-tech startup Discovered Materials has raised $9 million in a seed funding round led by Lightspeed India Partners. Y Combinator and Peak XV Partners also participated in the round. The startup is using AI agents to discover new materials for semiconductor chips and aims to accelerate the journey from laboratory research to chip manufacturing. Read MoreFresher Hiring Gains Despite IT Demand CoolingIndia’s fresher hiring outlook has strengthened for the second half of 2026, with overall employer hiring intent rising to 75% from 73% in the first half. However, IT hiring intent declined to 76% from 81%. Retail, e-commerce, technology startups and manufacturing are driving demand for entry-level talent as hiring patterns diversify beyond traditional IT roles.  Read MoreTrump Media Reports $238 Million Loss as Crypto Holdings FallTrump Media & Technology Group reported a $238.1 million net loss for the second quarter of 2026, with cryptocurrency-related losses weighing on its results. The company recorded about $190.4 million in unrealised losses on digital assets as crypto prices declined. The results underline the financial impact of the company’s growing exposure to cryptocurrency holdings.  Read MoreOpenClaw AI Agent Hacks Gym System, Raising Security ConcernsAn AI agent using OpenClaw reportedly exploited a vulnerability in a gym’s reservation system while attempting to secure a spot for its user. The agent bypassed normal booking restrictions and manipulated the waitlist, demonstrating how autonomous AI systems can exploit poorly secured software when given access to digital tools. The incident has renewed concerns over AI agents operating with broad permissions and limited safeguards.  Read MoreJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Technocraft Ventures IPO is performing strongly so far on its third day. According to reports, until Tuesday afternoon, it’s been subscribed 7.71 times. Investors had placed bids for 6.41 crore shares against 83.17 lakh shares on offer. The Non-Institutional Investor (NII) portion led the race with 12.52 times subscription. The retail portion was subscribed 7.49 times, while Qualified Institutional Buyers (QIBs) subscribed 4.50 times.The IPO includes a fresh issue worth Rs. 201.51 crore and an offer for sale of Rs. 50.37 crore. Technocraft Ventures plans to use Rs. 150 crore from the fresh issue for working capital. The remaining money will be used for general business needs and issue expenses.Technocraft Ventures works in the engineering and construction space. Its projects include roads, highways, water projects, urban infrastructure, and power transmission. The IPO allotment is expected on August 12. Investors can check their allotment status through the NSE website or Bigshare Services. The shares are expected to list on both NSE and BSE on August 14.The strong NII response has been one of the biggest highlights of the IPO. Retail investors have also shown healthy interest. Still, a high subscription does not guarantee strong listing gains. Market conditions and the company'sperformance will also play a role.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Crypto lending remains a major part of decentralized finance in 2026, allowing investors to earn interest on digital assets or borrow against their holdings without selling them. DeFi currently holds roughly $75.2 billion in total value locked (TVL), with lending representing one of its largest segments. Here are a few prominent crypto lending platforms in 2026, based on lending activity, liquidity, product range, and accessibility.1. AaveAave remains the largest DeFi lending protocol. Current DeFiLlama data shows approximately $14.37 billion in TVL, $25.59 billion supplied and $11.21 billion in active loans across 23 chains. The protocol generated around $29.06 million in fees over the past 30 days. Aave supports variable-rate borrowing and non-custodial lending across numerous assets. Its scale remains a major advantage for users seeking deeper liquidity.2. MorphoMorpho has grown into Aave’s closest major competitor, with around $7.85 billion TVL, $12.23 billion supplied and $4.38 billion in active loans. Over the last thirty days, protocol fees reached around $20.72 million.Morpho differs through permissionless lending markets and curated vaults. Individual strategies can produce different outcomes, like one AUSD RWA vault recently showed a 7.98% net APY, showing how yields can swing depending on strategy and risk levels.3. Coinbase Crypto-Backed LoansCoinbase provides a more familiar route into crypto-backed borrowing, with its loans powered by Morpho on Base.Eligible customers can borrow up to $5 million in USDC against Bitcoin, $1 million against Ethereum, and $100,000 against SOL, XRP, ADA, LTC or DOGE. The service is particularly suited to investors who want liquidity without selling their crypto or directly navigating DeFi applications.4. Kamino FinanceSolana-based Kamino Lend right now holds about $1.06 billion in TVL, while there is nearly $1.99 billion supplied and around $930 million in active loans. The 30-day fees sit near $3.59 million.Kamino advertises lending-vault yields that can climb to 16.75% APY, but in practice results are different depending on the asset, the vault, and market conditions.5. CompoundCompound remains among DeFi’s more established algorithmic lending protocols. For Compound V3, the latest figures point to about $1.15 billion in value that’s secured via Chainlink-powered markets.Its rates adjust themselves based on supply and borrowing pressure, which makes it comparatively simple for seasoned DeFi participants.Crypto lending gives investors another way to gain yield, or maybe just unlock liquidity without having to sell their holdings. Still, the difference between platforms in terms of liquidity, offered rates, and risk level is high, so choosing a platform is becoming more important as DeFi lending keeps expanding.Why this Matters?Also Read: Brazil Sets 24-Hour Crypto Transfer Delays Starting January 2027Which Crypto Lending Platform is Best?By scale, Aave leads with $14.37 billion TVL, after that comes Morpho with about $7.85 billion. Coinbase stands out for accessibility and borrowing limits, while Kamino gives a strong Solana-focused alternative.However, higher yields should not automatically mean it is the best platform. Smart contract vulnerabilities, variable rates, collateral volatility and liquidations remain notable risks. Aave alone had processed more than 310,000 liquidations worth $4.65 billion from its launch through early February 2026, showing how quickly leveraged crypto loans can get shut down once collateral values drop.FAQs:1. What are the best crypto lending platforms in 2026?Aave, Morpho, Coinbase, Kamino Finance and Compound are among the prominent options. They differ significantly in liquidity, supported assets, blockchain networks, yields and borrowing structures.2. Which crypto lending platform has the highest TVL?Among the five platforms covered, Aave leads with approximately $14.37 billion in TVL. It also has about $25.59 billion supplied and $11.21 billion in active loans.3. How much can users borrow through Coinbase?Eligible Coinbase customers can borrow up to $5 million in USDC against Bitcoin and $1 million against Ethereum. Limits of up to $100,000 apply to supported assets including XRP, SOL, ADA, LTC and DOGE.4. What APY can investors earn from crypto lending?Returns vary significantly between assets and protocols. For example, Kamino advertises lending-vault yields reaching up to 16.75% APY, while a Morpho AUSD RWA vault recently displayed 7.98% net APY.5. Is crypto lending risky?Yes. Major risks include smart-contract exploits, collateral volatility, variable interest rates and liquidation. Aave had processed more than 310,000 liquidations worth $4.65 billion through early February 2026.

Hyderabad, India, August 11, 2026 – Workato®, the leading Control & Execution Platform for Enterprise AI, today announced the opening of its third AI Collaboration Hub, located in Hyderabad, joining existing hubs in San Francisco and Singapore. The Hyderabad hub is a working space built on a simple conviction: the next wave of enterprise AI will be built together with an ecosystem of customers and partners.Located at Aurobindo Orbit, Hyderabad Knowledge City, HITEC City, the hub at its core is the Enterprise AI Collaboration Centre - a space where Workato customers, global system integrator (GSI) partners, developers, and Workato's own engineers sit in the same room and co-design, build, and ship agentic AI solutions. The facility pairs collaboration zones and hot-desking with hands-on build labs, so that what starts as a whiteboard idea on Monday can be a running agentic workflow against a customer's real systems by Friday.Closing the gap where enterprise AI usually diesThe launch lands at a moment when most enterprise AI never makes it out of the prototypes. According to McKinsey & Company, nearly 80% of organizations report no tangible business impact from generative AI - and that gap has almost nothing to do with the models. It's the last mile: connecting AI to thirty-year-old ERP systems, regulated data, and multi-cloud infrastructure, with the governance to run safely at scale. That last mile is exactly what Workato's control & execution platform was built for, and the Hyderabad hub is where customers and partners now get to build across it, shoulder to shoulder with the engineers who created it.Why Hyderabad, why nowIndia has become a center of gravity for enterprise AI engineering - and not for the reasons most people assume. According to Stanford's 2026 AI Index Report, India is the second-largest contributor to global GitHub AI activity, accounting for nearly 20% of all AI development, and India and the United States together account for over half the world's AI workforce. But the real advantage is depth: engineers here work across the full stack - model architecture, enterprise systems design, and the governance layer that makes AI deployable in enterprise environments. Hyderabad holds a uniquely dense concentration of that talent.Since establishing its India operations in 2022, Workato India has grown to more than 200 employees across Hyderabad, Bengaluru, and Chennai, with India playing an increasingly central role in the company's global engineering and AI roadmap. The new hub deepens that investment and turns it outward - toward the customers and partners to co-ideate and co-build enterprise-grade solutions.What it means for customers and partnersFor customers, the hub compresses the distance between an AI idea and an AI outcome. Instead of trading documents and waiting on roadmaps, they co-engineer solutions against their own systems, in real time, with the people who built the platform. For GSI partners, it's a launchpad: a place to co-create repeatable agentic solutions, establish enterprise AI practices, and bring joint offerings to market at speed.“I grew up in Hyderabad, so opening this hub is personal - but why it matters to our customers is anything but sentimental. The hard part of enterprise AI was never the model; it's making AI work within real companies, with their enterprise systems, data, and compliance realities,” said Vijay Tella, CEO and Co-founder, Workato. “The engineers who can solve that - at the intersection of AI, enterprise architecture, and governance - are here. So, we opened a place where our customers and partners build production-grade AI with us, in the same room, and walk out with something tangible.”“Enterprise AI adoption requires more than powerful models; it demands seamless integration, intelligent orchestration, and enterprise-grade governance. Our collaboration with Workato combines Persistent's expertise in AI-led digital engineering and enterprise integration with Workato's automation and orchestration platform to help organizations operationalize AI at scale. The AI Collaboration Hub provides a valuable space for co-innovation, enabling teams to jointly design, build, and accelerate production-ready AI solutions that deliver measurable business outcomes” said Sameer Dixit, Corporate VP-Data, Integration & AI, Persistent Systems.“Customers want AI that delivers real business value-not just pilots. This hub enables us to co-innovate with Workato’s engineers and rapidly bring agentic solutions to market, helping customers realize value faster. Having our architects and Workato's engineers co-building in the same room, against a customer's real environment, cuts months out of the path from idea to deployed agentic workflow. It's how we scale enterprise AI delivery with the speed and governance our clients expect from us.” said Gopikrishnan Konnanath, Global Head, Digital Enterprise Applications, Tech Mahindra.Building the next generation of enterprise AI, in the openWith the AI Collaboration Hub, Workato is betting that enterprise AI advantage comes from co-creation - customers, partners, and developers building together, against real systems, with governance built in from day one. Hyderabad is where that bet gets built.About WorkatoWorkato is the leading Control and Execution Platform for Enterprise AI, the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500, including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors, Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.Social Media Pages:Website: https://www.workato.com/LinkedIn: https://www.linkedin.com/company/workato/posts/?feedView=allTwitter/X: https://x.com/workatoInstagram: https://www.instagram.com/workatohq/?hl=en