The Central Board of Secondary Education (CBSE ) faced tighter scrutiny. This comes after a post on social media that sought to defend their Online Score Management (OSM) system. Reportedly, this brought a whole new line of criticism against them.CBSE Post Triggers Fresh ControversyEntrepreneur Deedy alleged that the image used in the post was created with ChatGPT. He posted a tweet on its X account, “National Board of Education in India just generated an image on ChatGPT to  prove that they’re secure after a 19-year-old showed you can edit the marks of 2M test takers on their platform.” This post went viral quickly.Certain people pointed out that there were special indicators, identified by various detection tools, which implied that the picture in question was indeed generated artificially. Although these allegations were taken seriously very fast, the official position of CBSE about this problem is still unclear.The absence of the required information kept the topic alive for several days. Apart from this factor, the time of CBSE’s posting became another element that made many people upset. Namely, there had been recent reports on alleged vulnerabilities in the OSM service; although the board explained that the so-called breach happened only in test mode, it was too late. Therefore, certain people considered that such an approach to the issue undermined the importance of CBSE’s statement.Trust Deficit DeepensTrust in online examination platforms depends greatly on transparency and timely communication. Any inconsistency might add fuel to doubt, especially during such critical academic periods. Experts observe that the messaging should be in accordance with the facts. Visuals may affect credibility despite being a minor concern in certain situations.CBSE further claimed that there was no breach in its functioning system. It has been asserted that the assessment process is safe from interference. But CBSE has failed to comment on the AI image controversy. The outrage underlines one clear fact. In a delicate situation, everything counts. Transparency backed up by credible information is essential in such cases.Also  read: Meta Layoffs: 1,400 Washington Jobs Axed Amid Billion-Dollar AI InvestmentsJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

In 2026, financial firms are paying closer attention to the infrastructure that sits beneath trading, analytics, and client-facing products. As platforms expand and market conditions change faster, market data infrastructure is becoming less of a technical backdrop and more of a strategic advantage.Market data now supports multiple business functions at once. That means the quality of the infrastructure behind it can shape how quickly a firm adapts, how reliably it operates, and how easily it scales into new use cases.Infrastructure As A Business LayerFor many firms, market data used to be treated as a utility that simply had to work. That approach is no longer enough for those who want to differentiate themselves, serve multiple user groups, or expand into new markets without unnecessary friction.dxFeed works across institutional and retail market data delivery, which gives the company a broad view of how different clients use infrastructure in practice. In that kind of environment, the same core data may need to support different formats, workflows, and technical requirements depending on the business model.Scale Without Adding FrictionA lot of firms are looking for scale, but they do not want scale to come with constant rebuilding or complex integration overhead. It is not enough for infrastructure to handle more feeds or more instruments. It also has to remain manageable as the business grows.This is where consolidated, normalized market data becomes valuable. dxFeed presents its platform as a multi-asset environment designed to support a wider range of use cases from a single infrastructure layer, rather than forcing clients to assemble separate systems around every new requirement.Speed And ContinuityLatency still matters, but speed alone is rarely what makes a data environment useful in practice. What matters more is whether that speed is paired with continuity, so the infrastructure remains reliable during active sessions and periods of higher volatility.dxFeed emphasizes direct exchange connectivity, cloud-based delivery, redundancy options, and high uptime as part of its model. The practical value is not just faster delivery, but a setup that aims to stay stable when conditions become more demanding.Historical Data As A Practical AdvantageThe live feed gets most of the attention, but historical data is often what gives firms more room to analyze, test, and refine their decisions. Research teams, quantitative users, and product builders increasingly need access to replayable and structured historical market data, not just current prices.dxFeed’s historical data environment reflects that need. Its replay and extraction capabilities, along with cloud-based storage and access, show how historical depth has become part of the broader infrastructure conversation rather than a separate archival function.AI With A Practical RoleAI is now part of the market data discussion, but the strongest use cases are still the practical ones. The goal is usually to improve interpretation, highlight anomalies, or organize information more effectively, not to replace human judgment.dxFeed’s AI-related offerings, including Grenadier and SummerFox, fit that approach. They are positioned as tools for market microstructure analysis and market intelligence, which makes them relevant to teams that need better context around the data they already use.Flexibility Still Requires PlanningThere is also a realistic side to enterprise infrastructure. More flexible and customizable systems usually require more planning during integration, onboarding, and implementation. That is not necessarily a weakness. It is often the trade-off that comes with building for professional use cases.dxFeed reflects that reality through its range of APIs, connectivity methods, and delivery options. For firms that need a tailored setup, the value is in having a system that can adapt, even if the implementation path is more involved than a basic plug-and-play feed.What This SignalsThe broader signal is clear: market data infrastructure is now part of strategic planning, not just technical maintenance. Firms that build around reliable, scalable, and well-structured data are usually better positioned to support growth, improve operational clarity, and respond to new client demands.dxFeed fits into that conversation as a market data and technology partner focused on resilience, historical depth, multi-asset coverage, and AI-supported analytics. For firms thinking about infrastructure as a long-term advantage rather than a background function, that distinction matters.

Key Takeaways Ethereum whales continue large ETH accumulation despite recent market weakness.ETH staking growth reduces exchange supply and supports bullish sentiment.Heavy market leverage could trigger sharp price swings in the coming weeks.A large Ethereum whale has once again caught the attention of the crypto market. After a huge loss of more than $33 million, the investor placed another massive bet worth $13 million on ETH. The move surprised many traders as Ethereum has faced strong price pressure in recent weeks.Blockchain data showed that the whale opened a fresh leveraged position soon after the earlier loss. Instead of leaving the market, the investor chose to increase exposure to Ethereum. Such a step usually points to strong confidence in a future price rise.The crypto market now watches this wallet closely since whale trades often affect market mood. Large investors usually have access to deep research, market trends, and long-term plans. This fresh ETH purchase has therefore started new talks about Ethereum’s next move.Ethereum Faces Heavy Market PressureEthereum saw major price weakness throughout May 2026. ETH recently dropped below the key $2,000 level after strong selling pressure hit the crypto market. Fear across global financial markets also added more pressure on digital assets.At the same time, futures market activity rose sharply. Open interest in Ethereum futures reached record highs even as ETH prices moved lower. This situation often creates sudden market swings as too much leverage can lead to large liquidations.Many traders turned bearish after the decline. However, some analysts believe that too much negative sentiment may create conditions for a short squeeze. In such a case, fast price jumps force short sellers to close positions quickly, which pushes prices even higher.Why the Whale Still Believes in EthereumOne major reason behind the whale’s new bet comes from Ethereum staking data. More ETH holders now lock their coins in staking contracts than ever before. This trend reduces the amount of ETH available on exchanges.Lower exchange supply can help prices rise when fresh demand enters the market. Many long-term investors see this as a positive sign for Ethereum’s future.Another important reason comes from whale accumulation. Recent blockchain reports showed that large investors bought over $1 billion worth of ETH during the latest market dip. Such purchases usually show confidence from experienced traders.The whale may also believe Ethereum has entered an undervalued zone. Some investors see the recent drop as a temporary correction rather than a long-term problem. This belief often leads whales to buy during fear-driven selloffs.Ethereum Ecosystem Remains StrongDespite price weakness, Ethereum still leads the decentralized finance sector. The network controls around 55% of the stablecoin market, which keeps Ethereum at the center of the crypto economy.Major financial companies also continue work on Ethereum-based projects. Tokenization plans, blockchain payment systems, and smart contract tools still rely heavily on Ethereum infrastructure.Network upgrades also support bullish expectations. Developers continue efforts to improve transaction speed and lower gas fees. These changes may help Ethereum attract more users and institutions over time.Strong developer activity adds another positive signal. Ethereum still has one of the largest blockchain developer communities in the world. Many experts believe this gives the network long-term strength compared to smaller rivals.Also Read - How Ethereum Became a Leading Enterprise Blockchain PlatformRisks Still RemainEven with strong long-term signals, Ethereum still faces major risks. The recent fall below important support zones weakened market momentum. Some analysts believe ETH could move lower if global financial conditions become worse.Macroeconomic uncertainty continues to affect crypto markets. Concerns around interest rates, liquidity, and geopolitical tension have increased pressure on risky assets.Ethereum investment products also saw weaker inflows in recent weeks. Some institutional investors reduced exposure while waiting for clearer market direction.Heavy leverage across crypto derivatives markets creates another risk. Large liquidations can push prices down very quickly during panic periods.Whale Strategy May Focus on Long-Term GainsExperienced whale traders often use a strategy called averaging into positions. Instead of exiting after losses, they slowly add more funds if confidence in the asset remains strong.This method carries high risk but can also produce huge returns if the market later recovers. The whale’s latest move suggests belief that Ethereum may soon enter a recovery phase.Historical market data shows that several large Ethereum accumulations happened during periods of extreme fear. Some past whale purchases later turned into highly profitable trades after major market rebounds.Still, not every whale trade succeeds. Crypto markets remain highly volatile, and even large investors can face massive losses.Also Read - Is Ethereum Price Bounce Fragile as Another Sell-Off Looms?What Comes Next for EthereumEthereum’s short-term future now depends on whether buyers can regain control above the $2,000 level. A strong recovery could improve market confidence and attract fresh institutional demand.If bearish pressure continues, ETH may face more volatility before any stable rebound appears. Traders will closely watch whale activity, staking growth, and derivatives data for signs of the next major move.For now, the whale’s $13 million Ethereum bet has become one of the biggest stories in the crypto market. After a painful $33 million loss, the decision to place another large trade shows strong belief in Ethereum’s long-term future.The coming weeks may decide whether this bold move becomes a smart comeback or another costly mistake in the highly unpredictable world of cryptocurrency.FAQs1. Why did the Ethereum whale reopen a $13 million position after a massive $33 million loss?Despite suffering substantial previous liquidations, the investor leveraged a fresh $13 million position since macro accumulation metrics, rising staking trends, and long-term blockchain fundamentals suggest Ethereum is currently undervalued.2. How is the current price pressure affecting Ethereum?Ethereum faced major market weakness throughout May 2026, dropping below the key psychological $2,000 support level. This decline has been amplified by global financial uncertainties and a surge in futures market open interest, which increases the risk of sharp liquidations.3. What role does staking data play in supporting whale confidence?Record amounts of ETH are currently locked up in staking contracts, drastically reducing the active circulating supply available on centralized exchanges. This supply crunch creates a favorable environment for price recovery when fresh demand returns.4. How strong is the underlying Ethereum ecosystem right now?The network remains highly resilient, commanding roughly 55% of the global stablecoin market and leading the decentralized finance (DeFi) sector. It also maintains the largest developer community in the world, ensuring continued institutional infrastructure integration.5. What are the short-term technical targets for Ethereum?Ethereum's near-term outlook depends on buyers regaining firm structural control above the $2,000 level. Successfully flipping this line back into support could clear the path to trigger a short squeeze against over-leveraged bearish positions.

Bitcoin's price is down but futures traders are turning bullish. According to Glassnode data, perpetual futures funding rates for BTC have turned positive.A positive funding rate usually indicates that bulls are dominating the market. But as prices decline and the leverage heavily biased toward the long side, the risk for forced liquidation grows. It can result in a long squeeze where a further decline comes from long liquidations as prices drop.Funding Rates Shift From Bearish to BullishIn April and the first half of May, BTC funding rates were in the red, meaning traders were betting against BTC even as the price climbed. When BTC pushed higher, those short positions got squeezed out. The tone changed by mid-May. Funding rates started moving in the positive territory as traders positioned for more upside. The shift suggests the sentiment has turned positive but the price has not caught up yet.Bitcoin recently resumed its pullback towards the $75,900 level, and currently trades at $73,666.92 with an increase of 1.92% in the last 24 hours indicating that buyers are struggling to maintain the momentum.Long Liquidations Rise According to CoinGlass data, liquidations worth $104 million took place in the last 24 hours. Of this, over $85 million came from long positions.This indicates that most of the liquidated traders were BTC bulls. If BTC continues to drop and funding rates are above zero, then more long positions will likely be closed. More long liquidations would accelerate the drop.Technical Indicators Point to Bearish MomentumBTC price trades near $73,600 with a short-term bearish bias as it sits below the 50-day, 100-day, and 200-day Exponential Moving Averages (EMAs), clustered between $76,430 and $81,226.BTC fell below the 38.2% Fib retracement at $74,487, which suggests the current downward trend is extending rather than consolidating. The Relative Strength Index (RSI) stands at 36.23, indicating bearish momentum, while the Moving Average Convergence Divergence (MACD) remains below the signal line, reinforcing downside pressure. On the upside, immediate resistance is seen at the 38.2% Fib retracement at $74,487, with the 50-day EMA at $76,429 and 100-day EMA at $76,690 acting as stronger supply zones above. On the downside, immediate support is seen around the former trendline break region near $71,727, ahead of the 23.6% retracement at $68,950; a break below opens the door to deeper losses. Also Read: Bitcoin Price Faces Volatility Near $73,000 Support ZoneFAQs:1. Why is Bitcoin price under pressure despite bullish futures positioningBitcoin is under pressure because the spot price has weakened while futures traders remain heavily positioned on the long side. This creates liquidation risk if BTC continues to fall.2. What does a positive Bitcoin funding rate mean?A positive funding rate means long traders are paying short traders to keep their positions open. It usually shows bullish sentiment, but it can become risky when prices decline.3. What is a Bitcoin long squeeze?A long squeeze happens when falling prices force leveraged long traders to close their positions. These forced liquidations can add selling pressure and accelerate the decline.4. What are the key Bitcoin resistance levels now?Immediate resistance is near the 38.2% Fibonacci retracement at $74,487. Stronger resistance is seen near the 50-day EMA at $76,429 and the 100-day EMA at $76,690.5. What support levels should Bitcoin traders watch?Bitcoin’s immediate support is near $71,727, followed by the 23.6% Fibonacci retracement at $68,950. A sustained break below this zone may open the door for a deeper correction.

Course Coverage: Covers TCP/IP layers, addressing, protocols, and data flow across networks, ensuring a foundational understanding of communication systems and architecture principles.Skill Level: Designed for beginners to advanced learners, offering structured progression from networking basics to complex routing, switching, and troubleshooting concepts effectively.Hands-on Labs: Includes practical exercises using tools like Wireshark, subnetting, and simulations to reinforce theoretical concepts through real-world networking scenarios and configurations.Certification Value: Provides recognized credentials that validate networking expertise, improving employability and demonstrating proficiency in TCP/IP concepts to recruiters and industry professionals globally.Protocol Depth: Explores TCP, UDP, IP addressing, DNS, DHCP, and routing protocols, ensuring comprehensive knowledge of how modern networks operate and communicate efficiently.Industry Relevance: Aligns with current networking standards, including IPv6, cloud networking, and security practices, preparing learners for evolving technology environments and job requirements.Career Opportunities: Opens pathways to roles like network engineer, system administrator, and IT support specialist, with strong demand across industries and digital infrastructure sectors.Flexibility: Offers self-paced online learning with lifetime access, enabling learners to study anytime while balancing work, education, or other commitments conveniently.Advanced Learning: Includes specialization in routing protocols, network security, and enterprise architecture, helping professionals upgrade skills and handle complex networking infrastructures confidently.Read More Stories Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Anthropic reportedly overtook OpenAI in valuation after announcing a massive Series H funding round at a post-money valuation of $965 billion. The new financing represents a large increase over February, when the Claude maker was valued at $380 billion.Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital led the round. It also included $15 billion in previously made investments, including $5 billion from Amazon, the firm said. The new valuation puts Anthropic ahead of OpenAI, which was valued at $852 billion after a $122 billion in March.At a $965 billion valuation after the capital raise, Anthropic would be the 12th most valuable company, just below the $1 trillion mark. Revenue Growth Driven by Claude AdoptionAnthropic's revenue has grown notably in the past year. Compared with $30 billion in revenue earlier this year and $10 billion in annual revenue last year, the company reported a $47 billion revenue run rate. A separate report revealed that revenue from run rates had risen to $14 billion in February, demonstrating the rapid rate of enterprise adoption.The AI coding assistant, Claude Code, from Anthropic is a significant contributor to the demand. The company also unveiled Claude Opus 4.8 and added Claude Mythos Preview, a cybersecurity-focused model, to its current set of models, which is restricted to certain companies.“Claude is increasingly indispensable to our growing global community of customers, and we work tirelessly to make tools like Claude Code and Cowork more helpful, more powerful, and more adaptable to their needs,” Anthropic Chief Financial Officer Krishna Rao said in Thursday’s press release. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens.”Also Read: Google vs OpenAI and Anthropic: Who Will Lead the Next AI Cybersecurity Battle Globally?Infrastructure Deals Support AI ExpansionAnthropic stated the financing will enable it to broaden its compute sources, security studies, interpretability initiatives and customer interactions. The company has also reinforced its infrastructure partnerships with Amazon, Google, Broadcom, CoreWeave and SpaceX.Anthropic has pledged over $100 billion to Amazon in the next 10 years for its compute resources, among other things. It has also picked Micron, Samsung Electronics and SK Hynix as strategic partners for infrastructure development, aiming to decrease supply-chain constraints in the memory chip supply chain.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Key Takeaways Ethereum call options above 60% show strong bullish market sentiment.Open interest crossed $6.9 billion as more traders entered the market.Whale accumulation and institutional demand continue to support Ethereum prices.Ethereum continues to show strong bullish signals in the crypto market. New data from the options market shows that many traders expect ETH prices to rise soon. The biggest activity now sits near the $2,350 call option level.Ethereum stayed mostly between $2,100 and $2,400 in recent weeks. Even after market pressure, ETH managed to hold important support levels. This helped market confidence return.Recent reports show that Ethereum options open interest crossed $6.9 billion. Open interest means the total value of active contracts in the market. A higher number usually means more traders and more money entering the market.Many analysts believe this rise shows strong confidence in Ethereum for the rest of 2026.Big Activity Around $2,350The $2,350 level became one of the most important zones in the Ethereum options market. Traders bought a large number of call options near this price.A call option allows traders to bet on higher prices. Strong demand for these contracts usually means traders expect ETH to move above that level before the contracts expire.Data also shows that call options now make up more than 60% of total Ethereum options activity. This clearly shows bullish market sentiment.Many traders also opened positions near the $2,500 level. This shows that several investors expect Ethereum to continue its upward move.Also Read - Is Ethereum Price Bounce Fragile as Another Sell-Off Looms?Big Investors Support EthereumLarge financial firms continue to show interest in Ethereum products. Spot Ethereum ETFs, futures contracts, and crypto investment products attracted more institutional money in recent months.This helped Ethereum gain more trust among professional investors. More institutions also brought stronger liquidity into the market.CME Group recently expanded weekly Ether options contracts. This gave traders better tools to manage risk and build new positions.Market Data Shows Positive SentimentAnother important signal comes from the put-to-call ratio. This number compares bearish trades with bullish trades.Ethereum’s put-to-call ratio stayed between 0.75 and 0.93 in recent weeks. A number below 1 usually shows that bullish trades remain stronger than bearish trades.Some traders still keep protective positions since market risks still exist. However, overall market sentiment remains positive.Ethereum Holds Strong SupportEthereum continued to hold support near the $2,200 level. Buyers entered the market whenever ETH moved close to this zone.Many analysts believe a breakout above $2,420 could push Ethereum toward $2,600 in the coming months.Past market cycles showed similar patterns. Heavy call option activity often came before strong price rallies.Whale Buying Adds ConfidenceLarge Ethereum holders also bought more ETH during price dips. This whale activity helped reduce fear of a major market drop.Many traders watch whale wallets closely as large investors often enter positions before major price moves.Ethereum’s ecosystem also remains very strong. The network still leads the smart contract market. Decentralized finance projects, staking, and layer-2 networks continue to grow across the ecosystem.Also Read - XRP vs Ethereum: $5,000 Investment Comparison and Returns by 2028Risks Still RemainEven with strong bullish signals, some risks remain in the market. Global interest rates, crypto regulations, and overall market conditions could still affect Ethereum prices.Large options expiry dates may also create short-term volatility.Still, current market data continues to favor the bulls. Strong call option demand near the $2,350 level shows that many traders expect Ethereum prices to move higher in the near future.Rising open interest, strong institutional support, and stable price levels together create a positive outlook for Ethereum during 2026.FAQs1. What does strong $2,350 call activity mean?It indicates a high concentration of derivatives traders are purchasing contracts that profit when the market price of Ethereum moves above $2,350, signaling clear, near-term bullish expectations.2. What is Ethereum options open interest?Open interest represents the aggregate valuation of all open, active Ethereum derivatives contracts that have not yet been settled, exercised, or closed out within the market.3. Why are traders bullish on Ethereum?Market confidence is supported by a rising open interest that crossed $6.9 billion, substantial whale accumulation during localized price dips, and expanding institutional product liquidity.4. What is the current Ethereum support zone?Ethereum has established a reliable and resilient technical support cushion near the $2,200 baseline, where active buying demand consistently offsets downward spot market pressure.5. Can Ethereum move higher in 2026?Yes, technical data implies that clearing the immediate $2,420 resistance boundary could trigger a broader market breakout, paving a clearer path toward the $2,600 mark.

OverviewMost poor AI results trace back to weak prompts, not weak models, and fixing that requires just a few structural habits.ChatGPT, Claude, and Gemini each have distinct strengths; matching the prompt style to the right model significantly improves output quality.Practical techniques like role assignment, step-by-step task breakdown, and output formatting can transform how professionals use AI tools daily.The biggest productivity gap in AI adoption has nothing to do with technology. It has everything to do with how people communicate with the AI chatbots since millions of professionals now use ChatGPT, Claude, and Gemini every day. Yet, many of them walk away frustrated, convinced the tool underperformed. In most cases, the model did exactly what it was told. The problem is usually the instruction itself.Prompting is not a technical skill. It is a communication skill, and like any communication skill, a few deliberate habits can make an outsized difference.Why Your Prompt Is the ProductAI language models do not interpret intent. They respond to the given input they receive. Feed them something vague, and they return something generic. Feed them something precise, and the output shifts noticeably.One of the easiest ways to improve AI output is to specify the format from the start. Specify exactly what you want the AI to do. For instance, if a user asks for bullet points, a short answer, a detailed explanation, or if the user wants it formal or casual, etc.Consider the difference between 'Summarize this report' and 'Summarize this report in five bullet points, each one a sentence, focused on business implications.' The second prompt doesn't require more knowledge. It only requires more precision. ChatGPT responds well to rigid structural instructions. Claude handles open-ended format requests and nuanced layouts with more flexibility.Context Is the Variable Most People SkipAI models cannot understand intent without proper instructions or background context. When important details are missing, the model fills the gaps with broad assumptions, which often leads to generic or less relevant responses.Adding context takes thirty seconds and changes everything. Instead of 'Write an email about the delay,' try 'Write a brief, professional email to an enterprise client explaining a two-week project delay caused by a supplier issue. Keep the tone apologetic but solution-focused. ' The output becomes immediately usable.This principle extends to audience specification. The same concept explained to a first-year student, a senior finance executive, and a software engineer should read completely differently. Naming your audience explicitly is one of the fastest ways to eliminate irrelevant content from any response.Role Prompting and the Expert EffectIt's not a gimmick to assign a professional role to an AI model. This is a framing method that sets tone, depth, and perspective before the model writes a single word. For instance, take this prompt: 'You are a senior UX researcher with experience in fintech. Review this onboarding flow and identify friction points for first-time users.' That one instruction changes the vocabulary, the analytical lens, and the specificity of the response. Role prompting works across all three major models. It is especially effective for advisory, editorial, and analytical tasks.Matching the Model to the TaskNot all AI models are built the same way. Treating them as interchangeable is a common mistake that quietly costs time and quality.Gemini performs strongly on research-intensive queries and tasks combining text with images. It is particularly useful when real-time information matters. Claude is the better choice when the work requires careful thinking, tonal sensitivity, or longer, more considered writing. ChatGPT is more at home with structured tasks, code, and content that follows a repeatable format. Sometimes simply switching models is the smarter move. No prompt rewriting needed. The decision costs nothing.Iteration Over ReinventionWhen a response misses the mark, the instinct is to start over. That instinct is usually wrong. The model already holds the context of the entire conversation. A targeted refinement, such as ‘Good structure, but shorten it by half and make the opening line more direct,' consistently outperforms a blank slate. Iteration is how professionals use AI. Starting over repeatedly is how beginners use it.For complex tasks, break the work into sequential steps rather than bundling everything into one prompt. Ask for a list first. Then a summary. Then a headline. Each step builds on the last with greater accuracy than a single sprawling instruction ever could.Also Read: 5 AI Engineering Patterns That Make Offshore Teams Production-Ready in 2026Building a Prompt LibraryThe most efficient AI users are not just better prompters. They have already done the work before the session begins. A saved library of tested prompt templates, with placeholders for audience, format, topic, and tone, compresses future effort significantly. The prompt becomes infrastructure rather than improvisation. Also Read: How to Convert AI Prompts into One-Click Chrome ToolsFinal ThoughtAI models are not falling short. Most users simply have not yet learned how to communicate with them effectively. Format, context, role, audience, iteration: everything is important to get the job done. These are not advanced techniques, instead, they are the basics of clear communication applied to a new medium.Professionals who build these habits will not just get better outputs. They will work fundamentally faster. The models are ready. The question is whether the prompt is.You May Also Like:Three strategies from Subhani Shaik for organizations at scale to fix fragmented data and make AI deliverHow the Future of Gadgets is Moving Toward Ambient IntelligenceHow to Use Google AI Agents for Smarter Search Results: Step-by-Step GuideFAQ’s1. What are the most important AI prompting tips for beginners?The most important prompting tips include being specific about your goal, defining the output format clearly, giving enough context, and mentioning tone or audience. Simple, structured prompts usually produce better results than long and vague instructions.2. How do ChatGPT, Claude, and Gemini respond differently to prompts?ChatGPT performs well with structured formats, workflows, and coding tasks. Claude is stronger at long-form reasoning and detailed analysis. Gemini works effectively for research-focused tasks, source-based queries, and multimodal prompts involving text and images.3. Why do vague prompts produce weak AI responses?AI models depend heavily on instructions. When prompts are unclear, the model has to guess the goal, tone, or structure, which often leads to generic, inaccurate, or inconsistent responses that require additional editing and clarification.4. How can structured prompts improve AI-generated content quality?Structured prompts reduce ambiguity by defining objectives, constraints, audience, and formatting requirements upfront. This helps AI models generate more organized, relevant, and usable responses with fewer errors and less back-and-forth refinement.5. What is the difference between prompt engineering and normal AI chatting?Normal AI chatting is casual and conversational, while prompt engineering focuses on designing precise instructions to control output quality, reasoning, structure, and accuracy. It treats AI more like a tool that requires clear operational guidance.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Meta has cut around 1,400 jobs in Washington in its latest round of layoffs. The company continues to shift toward artificial intelligence while trimming costs across several teams globally.The layoffs are happening across industries as big tech companies continue to spend billions on AI tools, servers, and automation systems. To balance costs, many firms are cutting traditional office roles to keep expenses under control or at least manage them more effectively.For Meta employees, the latest job cuts have added to the uncertainty in an already unstable tech job market.Meta Continues Job Cuts While AI Spending RisesAccording to reports, Meta recently filed a Worker Adjustment and Retraining Notification (WARN) with the Washington State Employment Security Department, stating its plan to cut around 1,400 positions in Washington. This follows earlier layoffs, during which the company reportedly cut nearly 8,000 jobs. The latest cuts appear linked to Meta’s growing AI plans. Reports suggest that Software engineers, data scientists, content designers, and IT staff were among the hardest hit.The company's Bellevue office was most affected by the latest layoff, with 699 workers leaving the organization. The two Seattle offices combined, bidding goodbye to around 260 workers. Further, the Redmond office will lose 206 employees, along with 231 remote employees globally. Like many tech firms, Meta is now focusing more on automation and AI-powered systems. The company is investing heavily in data centers and AI models while trying to reduce operating costs elsewhere.AI is Changing How Big Companies OperateMeta’s latest layoffs show how artificial intelligence is changing the structure of large companies. Instead of building bigger office teams, many firms now prefer smaller groups supported by software and automated systems. Roles connected to recruitment, customer support, and business operations are becoming more vulnerable.Some companies believe AI can improve speed and reduce costs. Others fear businesses are moving too quickly without thinking about long-term effects on workers. The change is now spreading beyond tech companies into other industries as well.Also Read: AI vs Jobs: Meta Considers Cutting Thousands of Roles to Fund AI ExpansionMeta’s AI Push Has a Human SideWhile Meta keeps pouring a lot of funding into AI, the whole transition feels pretty rough, and it is affecting thousands of workers. Many people who lost their jobs are now stuck in a slower hiring market, especially in tech. Some former employees are criticizing the strategic decisions after noticing how quickly companies are replacing older, more traditional tasks with automation tools.Meta’s latest round of layoffs show the harsh side of this AI race. Tech firms can boost efficiency and cut costs, but people end up carrying the heaviest load when these shifts happen.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Key Takeaways :Claude Code reduces trading strategy development time from months to days.AI-powered backtesting helps traders test ideas with realistic market conditions.Multi-agent AI systems now improve market research, execution, and risk control.AI has changed the trading world. Many traders and developers now use AI tools to build fast and smart trading systems. One of the most popular tools in this space is Claude Code by Anthropic. This AI coding system helps people create trading bots, test strategies, study market data, and manage risk with less manual work.Anthropic shared that more than 90% of its own internal code is now generated with AI assistance. This news shows how powerful AI coding tools have become. Many financial firms, crypto traders, and independent developers now depend on Claude Code for market research and automation.Why Claude Code Became PopularBefore AI tools became common, trading strategy development took a lot of time. Developers had to write every line of code by hand. Testing also required weeks or even months. Claude Code changed this process in a major way.The system can create complete trading programs from simple text instructions. It can also connect with exchange APIs, read huge market datasets, fix coding errors, and improve trading rules. This saves both time and money.Another reason behind its success is its ability to work like a smart assistant instead of a simple chatbot. Older AI tools only gave short code snippets. Claude Code can study full projects, manage many files, and solve complex coding tasks without constant human input.This feature made the platform very useful for trading systems as modern trading requires many connected parts such as market data feeds, order execution systems, analytics dashboards, and risk controls.Building the Base of a Trading StrategyEvery trading strategy needs a clear structure. Claude Code helps developers create this structure very quickly. The first step usually focuses on market selection. Some traders prefer stocks, while others focus on crypto, forex, or futures.After market selection comes signal creation. A signal tells the system when to buy or sell. Many traders use indicators like moving averages, RSI, MACD, or volume analysis.For example, a simple momentum strategy may use a 50-day moving average with RSI confirmation. Claude Code can turn this idea into a complete Python trading bot within minutes.The platform also helps with stop-loss logic, take-profit levels, and position sizing rules. These parts are important since they protect capital during market volatility.Also Read - Are Friendly AI Chatbots Really Reliable?Market Data and API ConnectionsA trading strategy cannot work without reliable data. Claude Code supports direct connection with major exchanges and brokers. Popular platforms include Binance, Coinbase, Alpaca Markets, and Interactive Brokers.In 2026, AI-powered market analysis became more advanced. Modern systems now study not only price charts but also news headlines, social media discussions, and global economic reports.This gives traders a much wider market view. For example, a crypto strategy can react to major news within seconds. If a government announces new crypto rules, the system may reduce risk automatically before prices move sharply.Many firms now combine Claude Code with live news analysis tools for faster market reactions.Backtesting With AIBacktesting is one of the most important parts of strategy development. It allows traders to test ideas on old market data before real money enters the market.Claude Code can create full backtesting systems with very little manual effort. These systems study how a strategy would perform under different market conditions.Good backtesting includes trading fees, slippage, and liquidity limits. Without these details, results may look unrealistic.Research published in 2026 showed that AI-driven optimization systems can improve trading performance by changing strategy settings automatically based on market conditions.Claude Code also creates detailed reports after every test. These reports may include win rate, drawdown, Sharpe ratio, and overall profitability. This helps traders understand both the strengths and weaknesses of a strategy.Risk Management in Modern TradingRisk management has become even more important after the rise of AI-generated trading systems. Some automated systems can make dangerous decisions if proper limits do not exist.Strong trading systems usually include daily loss limits, maximum position size rules, and volatility filters. Claude Code can build these protections directly into the strategy.Security experts in 2026 also warned that autonomous AI systems may sometimes act in unexpected ways if they receive too much freedom. Given this, many firms now test AI trading systems inside secure cloud environments before live deployment.Modern setups often use Docker containers, AWS cloud systems, and Kubernetes clusters for better safety and monitoring.Cloudflare and Anthropic also expanded support for Claude-managed AI agents this year. This helped developers deploy automated systems with better security tools.Multi-Agent AI SystemsOne of the biggest trends in 2026 is the rise of multi-agent AI workflows. Instead of one AI model handling every task, companies now use several specialized AI agents together.One agent may focus on research. Another may study risk. A third may manage trade execution. This setup creates faster decision-making and better strategy performance.Anthropic’s 2026 Agentic Coding Trends Report highlighted multi-agent coordination as one of the fastest-growing areas in AI software development.Large trading firms now use these systems to improve market analysis and reduce human workload.Real Examples From 2026Several developers already shared successful results with Claude-powered trading systems. One public experiment used a $100,000 trading account managed with Claude-assisted automation. Reports showed returns above general market performance during volatile periods.Another developer built a complex AI trading bot within a few hours instead of several months. This shows how much development speed improved after AI coding systems entered financial markets.Most examples currently focus on crypto trading as crypto markets stay active 24 hours a day. However, the same technology also works for stocks, forex, options, and futures markets.Also Read - Anthropic vs OpenAI: The Enterprise AI Battle in 2026Challenges and Future OutlookDespite major progress, AI trading systems still face problems. Overfitting remains one of the biggest risks. Some strategies perform well on old data but fail badly in live markets.Latency issues, weak API connections, and sudden market shocks can also hurt automated systems. In some cases, AI tools may even create faulty logic that looks correct at first glance.Given these risks, most professional firms still keep human oversight in place. AI now acts more like a powerful assistant than a complete replacement for traders and developers.The future of AI-driven trading looks very strong. Experts expect future systems to include real-time learning, automatic portfolio balancing, advanced arbitrage detection, and smarter execution algorithms.Research published in 2026 suggests that AI agents are slowly moving toward long-term reasoning and adaptive decision-making. This may completely reshape the trading industry over the next few years.Claude Code already changed how trading systems are built. What once required months of work can now happen within days. For developers, traders, and financial firms, AI coding systems have become one of the most important tools in modern markets.FAQs1. What is Claude Code?Claude Code is an advanced, terminal-based AI coding system developed by Anthropic that allows developers to autonomously build, test, and manage complex software applications and automated trading infrastructure.2. Can Claude Code build trading bots?Yes. Claude Code can interpret natural language instructions to generate complete end-to-end trading bots, safely configure exchange API endpoints, debug code logic errors, and deploy operational files across multiple file directories.3. Which markets support Claude Code strategies?Strategies generated using Claude Code can be adapted for any major financial sector that offers algorithmic access, including cryptocurrency platforms, traditional stock exchanges, forex networks, futures markets, and options desks.4. Why is backtesting important?Backtesting evaluates a strategy's technical viability by simulating its performance against historical market data, accounting for crucial real-world friction variables like transaction fees, exchange slippage, and liquidity constraints before risking real capital.5. Is AI trading fully safe in 2026?No. Automated trading introduces risks like algorithmic overfitting, API execution latency, and unexpected system logic errors. Given this, professional trading operations maintain firm human oversight and deploy strategies within isolated cloud environments.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

IBM said it will invest more than $10 billion in quantum computing over the next five years, aiming to build a large-scale fault-tolerant quantum computer by 2029. The company also announced a separate $5 billion IBM and Red Hat initiative focused on open-source software security.The quantum plan comes after the Trump administration moved to take $2 billion in equity stakes across nine quantum computing companies. IBM is set to receive $1 billion for Anderon, a new quantum chip manufacturing venture in the USIBM Targets Fault-Tolerant Quantum ComputerIBM said the $10 billion quantum investment will support research and development, capital expenditure, manufacturing expansion, ecosystem partnerships, and acquisitions. The company said the funding will help strengthen its position in quantum computing as governments and companies increase spending in the sector.$IBM plans to invest more than $10B in quantum over the next 5 years, according to a filing. IBM also reaffirmed its target to deliver its first large-scale fault-tolerant quantum computer by 2029.— Wall St Engine (@wallstengine) May 28, 2026 The goal is to deliver a large-scale quantum computer by 2029 that can run complex calculations reliably. Fault tolerance remains a key challenge for the industry, as current quantum systems still face high error rates that limit wider commercial use.However, IBM said it has already deployed more than 90 quantum systems. It said that figure is higher than the number reported by all other industry players combined. The company also said more than 325 Fortune 500 companies, startups, universities, and government agencies use its quantum systems.Anderon Gets US Funding SupportIBM said it will contribute $1 billion to Anderon, which is planned as the first dedicated quantum chip manufacturing facility in the US The company also plans to provide intellectual property, assets, and workforce support to the venture.Anderon is expected to offer chipmaking technology to outside customers. IBM said the venture has already held talks with potential clients, while additional investors may join as the company grows.The federal support reflects Washington’s effort to secure US leadership in quantum computing and compete with China. The move follows rising interest in quantum technology for fields such as chemistry, biology, materials science, financial modeling, and cryptography.Still, doubts remain over how soon quantum computing can become widely useful. Alphabet CEO Sundar Pichai said last year that “practically useful” quantum computers were five to 10 years away, pointing to the technical barriers still facing the industry.Red Hat Project Focuses on Open SourceSeparately, IBM and Red Hat announced Project Lightwell, a $5 billion effort to improve open-source software security. The project will use advanced AI tools and more than 20,000 engineers to help companies find, test, and fix vulnerabilities across software supply chains.Introducing Project Lightwell from @IBM and Red Hat: a $5 billion, AI-powered, 20,000 engineer-strong, first-of-its-kind force to identify and fix open source vulnerabilities at scale.Read about our commitment to the future of open source in the AI era. https://t.co/Xh3lLMNpmz pic.twitter.com/1m0ToNiCQq— Red Hat (@RedHat) May 28, 2026 Open-source software powers much of modern enterprise technology. However, its wide use has made it a target for attackers especially as AI tools make it easier to identify security flaws. Project Lightwell is designed to act as a clearinghouse where companies can report issues, receive tested fixes, and share patches with open-source communities.IBM and Red Hat have already worked with early adopters, including Bank of America, Citi, Goldman Sachs, JPMorgan Chase, Mastercard, Morgan Stanley, Visa, and Wells Fargo. The commercial service is expected to launch within 30 days through subscription plans.Rob Thomas, IBM’s Senior Vice President of software, said clients would receive a ‘stamp of approval’ showing that their open-source software is safe for production use. Meanwhile, IBM shares rose 1.7% in premarket trading after the announcements.Also Read: IBM Completes $11 Billion Confluent Acquisition to Strengthen AI CapabilitiesJoin our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview: A strong business strategy helps companies stay focused, avoid confusion, and grow with clear long-term goals.Understanding customers, managing money wisely, and adapting to market changes are key parts of successful business planning.Modern businesses now combine leadership, technology, and smart decision-making to build stronger and more sustainable growth strategies.Starting a business is exciting, but growing it is the hard part. Many businesses begin with good ideas. Some even have strong products. Still, a lot of them struggle after a few years since there is no clear direction behind the work. That is where business strategy becomes important. A business strategy is simply a plan that helps a company move in the right direction. It helps business owners understand what they want, who their customers are, and what steps they should take next. Even small businesses with limited money can build a strong plan if they stay focused and think carefully before making decisions.Why Business Strategy MattersWithout a strategy, businesses feel lost. People work hard, but the results may be weak as there is no proper planning behind the effort. A strategy helps businesses focus on important things. For example, one company may want to improve customer service. Another may want to increase online sales. When goals are clear, decision-making becomes easier.Planning also helps businesses avoid wasting money. Many companies spend too much on things that do not really help growth. A proper strategy helps owners understand where money and time should actually go. Competition is another reason strategy matters today. Customers now have too many choices. Businesses need to understand what makes them different from others.Also Read: Why Apple Replaced its CEO Tim Cook?Step-by-Step Guide to Building a Business StrategyStart With Clear GoalsEvery business should know what it wants to achieve. Some businesses want more sales. Others may focus on customer trust or long-term growth. Simple and clear goals make planning easier.Understand Your CustomersBusinesses grow faster when they understand their customers properly. It is important to know:What customers needWhat problems do they faceWhat they expect from a product or serviceCompanies that listen carefully usually make better decisions.Study the MarketLooking at competitors can teach useful lessons. Business owners can learn what customers like, which trends are growing, and which mistakes to avoid. However, copying competitors completely is usually not a smart idea.Know Your StrengthsEvery business has something that makes it different. Some companies offer better prices. Some provide faster service. Others focus on quality or customer support. Understanding these strengths helps businesses build confidence.Keep the Plan SimpleMany people think business strategy should look complicated. That is not true. Simple plans are easier to follow and improve over time.Set Realistic TargetsTrying to grow too quickly creates pressure. Many businesses fail since they spend too much money too early. Slow and steady growth is usually safer.Manage Money ProperlyGood financial planning matters a lot. Businesses should avoid unnecessary spending and focus more on areas that actually help growth.Check Progress RegularlyA strategy should not stay frozen forever. Markets change. Customer behavior changes too. Businesses should review progress regularly and make changes when needed.Common Mistakes Businesses MakeOne common mistake is starting without a proper plan. Some businesses focus only on quick profits and ignore long-term growth completely. Another mistake is ignoring customer feedback. Customers point out problems that businesses fail to notice internally. Growing too fast is also risky. Many companies increase spending too early and later struggle with financial pressure.Some businesses also keep changing direction. This usually creates confusion for both employees and customers. And then there is the habit of copying competitors blindly. What works for another business may not always work for everyone.How Technology Helps Modern Business StrategyTechnology has changed business in many ways. Today, even small businesses use online tools daily. Social media helps companies reach customers faster. Digital marketing allows businesses to promote products without spending huge amounts of money. Many companies now use AI tools for customer support, content writing, and basic planning work.Automation tools also help reduce repetitive tasks. This saves time and allows teams to focus on more important work. Online support systems have also improved customer communication.Qualities of a Strong Business LeaderA business strategy works better when leadership is strong. Good leaders usually stay calm during difficult situations. They do not panic every time a problem appears. Communication also matters a lot. When leaders speak clearly, teams usually work better together. Adaptability is important too. Business markets keep changing, so leaders must stay open to learning new things. Problem-solving skills also help during difficult periods. Most successful business owners continue learning throughout their journey instead of thinking they already know everything.Strong leadership makes for a steadier team vibe. Employees become more self-assured, cooperation runs better, and the day-to-day workload feels less tangled. In many successful companies, productivity naturally increases as the work culture itself supports employees rather than keeping them under constant pressure.Also Read: From Dashboards to Decisions: How AI Copilots are Transforming CXO ProductivityClosing NoteBuilding a strong business strategy takes time. Most successful businesses grow slowly through planning, learning, and regular effort. A good strategy helps businesses stay focused and avoid unnecessary confusion. It also helps owners make smarter decisions during difficult situations. In an ever-changing market, businesses should stay flexible with the intent to improve. Consistency, patience, and smart planning matter more than quick success for sustainable growth.You May Also LikeBest AI Workflows for CXOs to Automate Daily OperationsInnovation vs Execution: How CXOs Can Balance Both EffectivelyBest Ways for CXOs to Build a Tech-Driven Organizational CultureFAQsWhat is a business strategy?A business strategy is a long-term plan that helps companies achieve goals, manage resources, and grow in a structured and organized way.How do businesses create a strong strategy?Businesses develop strong strategies by setting clear goals, understanding customers, analyzing competitors, managing finances carefully, and regularly reviewing progress.How does technology support business strategy?Technology helps businesses with marketing, automation, customer support, communication, analytics, and improving operational efficiency.What qualities make a strong business leader?Strong leaders usually have communication skills, adaptability, decision-making ability, problem-solving skills, and emotional stability during difficult situations.How often should businesses review their strategy?Businesses should review their strategy regularly, as markets, customer behavior, and industry trends continue to change.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

OpenAI may soon change how users share ChatGPT conversations online. A new leak suggests the company is testing colourful preview cards that appear before someone opens a shared chat link.The feature was spotted in a recent Android build of the ChatGPT app by Android Authority. The publication said hidden tools inside the app revealed multiple sharing layouts currently under development.New Sharing Layouts Spotted in AppCurrently, ChatGPT conversations are shared through standard links with basic previews. The leaked feature adds visual cards that display the conversation title along with a stylized background.According to the report, OpenAI is testing three formats:A plain white cardA blue gradient designA colourful multi-tone layoutThe cards appear designed for social media platforms and messaging apps where visual previews attract more attention than plain links. The report did not mention whether users would be able to customise colours or layouts before sharing.Screenshot Sharing Feature Also Under TestingThe Android app reportedly includes another unfinished feature tied to screenshots. Android Authority said the app can detect when users capture screenshots of conversations. OpenAI may eventually add quick-share options after a screenshot is taken.That could help users share specific replies, AI-generated images, or snippets from chats without posting an entire conversation link. Many users currently share ChatGPT outputs by manually taking screenshots and posting them on platforms such as X, Instagram, Reddit, and LinkedIn. A built-in sharing tool would simplify that process.OpenAI Pushing Deeper into Social SharingThe feature reflects a larger shift inside AI platforms. Chatbots are no longer used only for productivity tasks. Their outputs increasingly circulate across social media as public content.OpenAI has gradually expanded ChatGPT’s collaboration and sharing tools over the past year. The company previously introduced public chat links, memory features, and collaborative workspace functions.The preview cards appear to build on that strategy by making conversations easier to share and visually cleaner across apps. The feature could especially appeal to creators, students, educators, marketers, and professionals who regularly post AI-generated content online.Also Read: SpaceX and OpenAI IPO Plans Revive Wall Street Fears Over AI Bubble RiskNo Launch Timeline YetOpenAI has not officially announced the feature or confirmed a release date. Since the tools were discovered in an unreleased Android app build, the final version may change before rollout. Companies often test internal features that never reach public release.However, the leak offers an early look at how OpenAI plans to make ChatGPT conversations more shareable across digital platforms.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Overview –Today’s NYT Mini Crossword featured clever clues, including a standout Hermann Hesse reference and fun wordplay.Answers like MASH, OTTER, HORSE, and POSH gave the puzzle a mix of easy and tricky moments.NYT Games continues daily puzzle fun with Mini Crossword, Wordle, Connections, and Strands challenges.The NYT Mini Crossword is back with another fun puzzle for Thursday, May 28, 2026. Like every day, today’s Mini puzzle brings a fresh set of short clues and smart answers that make players think quickly. Some clues feel very easy at first, while others need a little extra thought before the answer becomes clear.Today’s crossword includes food-related clues, sports references, wordplay, and even a famous author’s name. One clue especially stands out because it talks about crossword puzzles inside the clue itself. That small twist gives today’s puzzle a fun and clever feel.Today’s Mini Crossword for May 28The Mini Crossword stays popular because of its short format. Many players solve it during breakfast, coffee breaks, or while traveling. Even though the puzzle looks small, a single difficult clue can slow down the whole grid. That challenge keeps puzzle fans coming back every morning.Here are all the clues, answers, and simple explanations for today’s NYT Mini Crossword.Mini Across Clues and Answers1A clue: Bangers and ___, classic British pub fareAnswer: MASHExplanation: “Bangers and mash” is a famous British meal made with sausages and mashed potatoes.5A clue: Crumbs used for coatingAnswer: PANKOExplanation: Panko means Japanese breadcrumbs often used for crispy fried dishes.6A clue: Animal that can use tools to open shellsAnswer: OTTERExplanation: Otters use rocks to break open shellfish while floating in water.7A clue: Dwells on angry feelingsAnswer: STEWSExplanation: Someone who “stews” keeps thinking about anger or frustration.8A clue: Author Hermann who writes disparagingly about crossword puzzles in "The Glass Bead Game"Answer: HESSEExplanation: The clue points to German writer Hermann Hesse, author of “The Glass Bead Game.”Also Read: NYT Wordle Answer Today for May 28, 2026: Hints and Expert Walkthrough RevealedMini Down Clues and Answers1D clue: Alternative to glossyAnswer: MATTEExplanation: Matte describes a flat surface without shine.2D clue: Poker paymentsAnswer: ANTESExplanation: Antes are small bets players place before poker games begin.3D clue: Depicts unfairly, as dataAnswer: SKEWSExplanation: Skewed data gives a misleading or unfair picture.4D clue: Basketball shooting game named for an animalAnswer: HORSEExplanation: HORSE is a popular basketball shooting game played on courts everywhere.5D clue: Expensively elegantAnswer: POSHExplanation: Posh means stylish, luxurious, and expensive-looking.A Fun Mix of Easy and Clever CluesToday’s puzzle gives a good mix of simple and tricky clues. Answers like MASH and HORSE feel familiar and easy to spot. Meanwhile, clues like HESSE and SKEWS make players pause for a moment before filling the grid.The HESSE clue becomes the highlight of today’s crossword. Crossword fans may enjoy the funny connection between a crossword puzzle and a clue about someone criticizing crossword puzzles in literature.The Mini Crossword keeps things short, but every word matters. That balance makes the game enjoyable for both beginners and longtime puzzle fans.NYT Games Continue Daily Puzzle FunThe NYT Mini Crossword remains one of the most played games from NYT Games. Along with the Mini Crossword, many players also enjoy Wordle, Connections, Strands, and Connections: Sports Edition every day.These games have become part of many morning routines because they offer quick entertainment and small brain challenges without taking too much time.Final WordsToday’s NYT Mini Crossword brought another entertaining puzzle filled with smart clues and fun answers. From food references to basketball games and literary names, the puzzle delivered a little bit of everything in a short format.Tomorrow awaits another fresh crossword grid with new clues, hidden tricks, and more wordplay challenges from NYT Games. Puzzle fans can once again look forward to testing speed, vocabulary, and solving skills with the next daily Mini Crossword.Also Read: Today’s NYT Mini Crossword Answers for May 27, 2026Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Marvel Rivals has received a new update on May 28. The latest patch notes have revealed a bucketful of fresh content for gamers, including gameplay changes and several bug fixes. The patch mainly focuses on improving match stability and adding more activities for players.The biggest addition that has instantly attracted players’ attention is the new Chrono-Rush Event. The event starts this weekend (29 May to June 22) and offers players special missions and extra rewards. The most exciting part of the event includes Chrono Tokens. Players can rack up these tokens without any upper limit. The more one plays, the more tokens one can collect. The schedule of the event is as follows:2026/5/29, 12:00:00 - 2026/6/1, 12:00:00 (UTC)2026/6/5, 12:00:00 - 2026/6/8, 12:00:00 (UTC)2026/6/12, 12:00:00 - 2026/6/15, 12:00:00 (UTC)2026/6/19, 12:00:00 - 2026/6/22, 12:00:00 (UTC)Additionally, the in-game store has received Black Cat and Wolverine bundles along with a range of other cosmetic items that players have been demanding for a while. These bundles will also be available starting from May 29. The update also includes a number of gameplay adjustments. Some heroes have received balance changes after player feedback from recent matches. A few character abilities now work differently, while certain attacks and cooldown times have been adjusted for better match balance.The latest patch has brought the Anti-Cheat Rank Compensation System as a trial starting from this week. If players encounter a cheater during a ranked match and report the ID, they will get back all the Ranked Points lost during that match, provided the system identifies the ID as a legit cheater. The update clearly shows the developers are closely watching community feedback. Most of the fixes target issues players had been discussing online over the past few weeks. Regular updates like this may help Marvel Rivals keep its growing player base active as competition in multiplayer games continues to increase.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Trendjacking has evolved from being a more reactive social media tactic into a serious tool for business growth. 78% of consumers prefer to discover products through short-term video, and are 70% more likely to purchase from influencers who are trending. Brands that engage with trends also have a higher chance of standing out in crowded places.Short-Term Video is a Dominant Medium for TrendjackingShort-term video is a dominant medium for trendjacking, with projections showing that it accounts for up to 90% of global traffic. Moments like this are no longer just good to engage in; they are essential. AI has also become an engine that helps brands to adopt trendjacking at scale. By capitalising on viral trends or moments with AI, it’s possible to plan, script, and even publish content fast enough to take advantage of trends while they are still relevant. Social listening is also a key trend here, and strengthens the case for businesses. With 62% of social media marketing agencies using real-time tools to identify trends before they peak in popularity, it’s now easier than ever to work by using data-led decisions, rather than taking a chance on something that may or may not materialise.Brands that have Successfully Adopted TrendjackingTrendjacking for businesses is all about capitalising on viral moments in a way that reflects brand fit, as well as contextual relevance. Many brands have done this successfully in the past, with humour being the biggest accelerator of success. 90% of people remember an ad if it’s funny. Some of the top brands that have successfully adopted trendjacking include IKEA. It was revealed that costume designer Michele Clapton used IKEA rugs to create the outfits for the authentic gear worn in the show Game of Thrones. She shaved, cut, and dyed them to make them look battle-ready. Following the reveal, IKEA saw a 775% increase in searches for their rugs, but capitalised on this further by creating mock assembly instructions on how to turn rugs into winter shoulder warmers.Other shows, like Breaking Bad, have also generated iconic memes that still circulate on the internet via marketing campaigns to this day. People who play the Huff N Even More Puff Grand game or other popular slots in the UK will know that the show was so big that there are even online casino games based on the series, alongside the iconic PH-style writing being present in the cover image. Green smoke also surrounds the roulette wheel, paying homage to Walter White and his work. Due to the viral nature of the show, Domino's also launched a campaign inspired by the moment where Walter White throws a pizza on a roof, showing how different verticals can effectively capitalise on big media moments, even if they had no direct connection to the original trend. Interestingly, many brands have also chosen to trendjack Spotify's Wrapped. Merriam-Webster is one example, where they detail common spelling mistakes which are made, as well as slip-ups with pronunciation. The tweet received over 100k views, showing how it’s possible to take a single viral moment, or anything that might be circulating on social media right now, and turn it into a valuable marketing campaign.With that said, brands do need to proceed with caution, as capitalising on trends without any creative edge can result in the opposite effect.

Overview:Today’s NYT Strands puzzle focused entirely on perfumes, aromas, and fragrance-related ingredients and scent categories.The spangram “FRAGRANCE” connected every puzzle answer through perfume-inspired scent terminology and aromatic word associations.Players identified fruity, floral, woody, and musky scent notes using carefully provided opening-letter cluesThe NYT STRANDS puzzle of May 28 focused on the theme of fragrances, scents, and the elements found in perfumes. The task required guessing all words connected to the aromas of substances such as those used in perfumes, candles, essential oils, and other fragrance-based products.The hint provided officially by the NYT for today is:‘Talking Scents’This tip made clear that each clue should be about aromas or fragrance-based items in some way. While it may seem overly broad at first glance, the hint proved to be more understandable once clues began appearing on the game board.The second tip made the guessing easier yet:‘Yes, things you smell’Opening Letters Hint and What They MeanIf players needed assistance without showing the full answer, the game provided the first letters of each word.PE: This is the key to the word Pear, which is a note of fruit fragrances used in perfumes.SA: These were the initials of Sandalwood, the most popular woody notes with the scent of creamy, warm wood.JAS: This is the code for Jasmine, a floral scent note often used in expensive perfumes and oils.MU: These were the initials of Musk, which is the deepest scent used as a perfume base.NE: These were the initials of Neroli, which is an oil produced from the orange blossoms.BE: These letters made up the word Bergamot, which is a citrus ingredient.What is Today’s Spangram?The most important clue in every Strands puzzle is the spangram. It connects the entire theme and usually stretches across the board.Today’s spangram is:FRAGRANCE: The word perfectly tied together all the answers and confirmed the perfume and scent-related category.Full NYT Strands Answers for May 28Here are all the correct answers from today’s puzzle:PearSandalwoodJasmineMuskNeroliBergamotEach answer represents a distinct fragrance family, ranging from fruity and floral to woody and musky.Also Read: Today’s NYT Strands Hints and Answers for May 27, 2026Why Today’s Puzzle Felt Easier After SpangramMany players found today’s NYT Strands difficult at first because the theme remained broad. Once ‘FRAGRANCE’ appeared as the spangram, the remaining words became much easier to identify.The puzzle stood out because it combined everyday scent references with perfume-industry terminology, making it enjoyable for both casual players and fragrance enthusiasts.NYT Strands continues attracting puzzle fans by mixing themed word searches with clever clue structures, and today’s fragrance-themed challenge delivered another satisfying solve.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Data Science: Linear Regression is an introductory online course offered by the Harvard T.H. Chan School of Public Health and delivered through edX. The course teaches learners how to implement linear regression models using R, understand confounding, and analyze relationships between variables. Through practical case studies, including sports analytics inspired by Moneyball, participants gain hands-on experience applying statistical modeling techniques to real-world datasets.What You’ll Learn in This Course?This course enables learners to:Understand the historical development of linear regression and its statistical foundationsDetect and interpret confounding variables in data relationshipsImplement linear regression models in R to analyze variable relationshipsApply regression techniques to practical scenarios and predictive analyticsEvaluate when regression is appropriate and understand its limitationsAccessibility and ValueThe 100% online, self-paced course runs for 8 weeks with an estimated time commitment of 1- 2 hours per week. The course is available free of charge (with optional paid certification) and is designed for beginners exploring data science fundamentals.Comprehensive CurriculumFoundations of Linear Regression: Learn statistical reasoning behind regression modelingConfounding and Bias Detection: Understand hidden variables affecting relationshipsRegression Implementation in R: Apply models using practical datasetsCase Study Applications: Explore predictive analysis through sports data examplesPractical Interpretation: Learn how to evaluate results and limitationsEligibility CriteriaNo prior advanced statistics experience requiredBasic familiarity with programming concepts helpful but not mandatorySuitable for beginners, students, and professionals entering data scienceWhat Makes This Course Stand Out?This course combines statistical theory with hands-on implementation using R, helping learners move beyond formulas to practical understanding. Real-world case studies demonstrate how regression informs decision-making in analytics-driven industries, making concepts easier to apply professionally.Final ThoughtsData Science: Linear Regression provides a strong foundation for understanding relationships between variables and making data-driven decisions. By combining statistical reasoning with applied coding experience, learners gain essential analytical skills relevant across industries.

AI video editors are helping creators make viral YouTube Shorts and Instagram Reels faster than ever in 2026.OpusClip is perfect for turning long YouTube videos, podcasts, and streams into engaging vertical Shorts automatically.Submagic creates dynamic captions, emojis, face tracking, and AI B-roll to make short videos more engaging instantly.InVideo AI can generate full Shorts from simple text prompts with AI scripts, voiceovers, visuals, and subtitles.Descript lets creators edit videos by editing text while also removing filler words like “um” and “uh” automatically.CapCut remains a favorite mobile-first editor with AI templates, auto captions, trendy effects, and easy Reel exports.Runway Gen-3 and DomoAI help creators produce cinematic, anime-style, and visually stunning AI-generated short videos.Vizard, VEED.io, and Klap make repurposing long-form content simple with auto-clipping, resizing, and multilingual captionsAI tools now save hours of editing with automatic hook detection, silence removal, subtitles, and viral-style formatting.Read More Stories Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp

Sony has launched the BRAVIA 7 II TV series featuring True RGB technology, aiming to deliver improved color accuracy, immersive visuals, and a premium home entertainment experience in the growing smart TV market. The biggest talking point here is Sony’s brand-new proprietary RGB Backlight Master Drive Pro technology, which independently controls red, green, and blue light sources with extreme precision.Sony Launches BRAVIA 7 II TV SeriesSony India has officially launched the BRAVIA 7 II, its first-ever True RGB LED television, marking what could genuinely be the most significant leap in LCD TV technology since quantum dots arrived on the scene.Conventional Mini LED and QLED televisions use white LEDs covered with colour filters to produce their picture. In True RGB technology, each individual LED in the BRAVIA 7 II’s backlight contains three separate red, green, and blue diodes that are driven independently. The result is a colour that is purer at the source. It translates to richer contrast, less blooming around bright objects, and a dramatically wider colour volume than what standard Mini LED displays can achieve.Key Features of Sony BRAVIA 7 II SeriesCheck out the key features of the latest smart TV.Also Read: Top Sony Bravia 55-inch TVs Compared: Price, Size, and FeaturesPrice & AvailabilitySony BRAVIA 7 II True RGB TV India price starts at Rs. 2,21,990 for the 55-inch variant, with the 65-inch model priced at Rs. 2,74,990. BRAVIA 7 II is available in five screen sizes. The 55-inch (140 cm) model carries a best buy price of Rs 2,21,990, while the 65-inch (165 cm) model is priced at Rs 2,74,990. The 75-inch (190 cm), 85-inch (215 cm), and 98-inch (248 cm) variants are coming soon, with the 98-inch model expected in July 2026.Pre-booking for both sizes begins from May 28, 2026, across Sony retail stores, the ShopatSC.com portal, and major e-commerce platforms.At Rs 2,21,990, the 55-inch model feels premium, but for buyers who want the absolute cutting edge of LCD television technology without stepping up to an OLED, the Sony BRAVIA 7 II makes a compelling and well-timed case for itself.Premium TV demand continues rising as consumers increasingly invest in larger screens, advanced display technologies, and immersive home entertainment setups. Growth in streaming, gaming, and smart home ecosystems is also pushing brands to deliver more cinematic, AI-powered, and feature-rich television experiences worldwide.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp