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Live Betting: Common Mistakes and How to Avoid Them – Tips from 1xBet

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Live betting differs from pre-match betting in that the odds change every few seconds depending on events on the field. 1xBet APP updates odds in real time for the NHL, NBA, NFL and other leagues popular in Canada. This dynamic creates additional opportunities, but also increases the number of mistakes that even experienced players make. We analyse the five main mistakes in live betting and give specific recommendations on how to prevent them.

Betting Under the Influence of Emotions

The first and most common mistake is making decisions based on emotions while watching a match. When your favourite team concedes a goal or makes an unexpected breakthrough, you feel the urge to place a bet immediately without analysing the situation.

An example from the NHL: the Toronto Maple Leafs are losing 0:2 after the first period. The odds on them winning rise from 2.10 to 4.50. It seems like a good time to bet, but statistics show that the team has only won 18% of matches when trailing by this margin this season.

1xBet provides real-time match statistics: puck possession, shots on goal, blocks. If a team is losing but dominating the statistics (60%+ possession, twice as many shots), the situation is different from a rout.

Make it a rule to wait at least 2-3 minutes after an emotional moment before placing a bet. During this time, evaluate the statistics and compare the current odds with the pre-match odds.

Chasing Losses

The second mistake is trying to win back after a series of unsuccessful bets by increasing the size of the next one. This is especially dangerous in live betting because events develop quickly and the temptation to bet more arises every few minutes.

At 1xBet, you can set betting limits in your account settings, which physically blocks the ability to bet more than planned.

Determine a fixed bet size before the start of the gaming session. For example, 2% of your bankroll. If your bankroll is £2,500, the size of a single bet is £50, regardless of previous results. After three consecutive losses, take a break for at least 30 minutes.

Ignoring the Context of the Match

The third mistake is betting only on the basis of the current score without considering the context. Live odds reflect not only the score, but also many other factors that many players overlook.

Factors affecting live odds in hockey:

  • Penalties — a team that is short-handed for 2 minutes has an 80% chance of conceding a goal when playing against a strong majority.
  • Injuries to key players — replacing the goalkeeper in the middle of the match changes the dynamics;
  • Fatigue — teams in back-to-back games (two matches in two days) perform 15% worse in the third period;
  • Motivation — games at the end of the season when one team is fighting for the playoffs and the other has already been eliminated.

Create a 5-point checklist before each live bet. Check the current score, match statistics, penalties, injuries, and the team’s schedule for the last week. If at least two points indicate against your bet, skip it.

Betting on Every Match

The fourth mistake is the desire to bet on every live event that is broadcast. 1xBet shows hundreds of matches every day from different leagues around the world. This creates the illusion that you need to take advantage of every opportunity.

Statistics show the opposite: players who place 10+ bets per day have a 40% lower ROI than those who place 2-3 selective bets. The reason is simple — it is impossible to thoroughly analyse ten different matches at the same time.

Canadian players should focus on the NHL, NBA, NFL, and CFL — leagues for which it is easier to find information in English. Statistical websites such as NHL.com provide detailed data on each team free of charge.

Choose a maximum of two sports leagues that you know best. Only place bets on matches in these leagues. Set a daily limit — no more than 3 live bets per day.

Not Understanding the Impact of the Wager on Live Bets

The fifth mistake concerns players who are playing through their welcome bonus. At 1xBet, the wagering requirements include accumulators with a minimum of 3 events and odds of 1.40. Many try to use live bets to fulfil the wager without understanding the complexity.

Live odds change quickly. An event with odds of 1.45 can drop to 1.30 in a minute if the team scores a goal. Putting together an accumulator of three live events with odds above 1.40 is more difficult than it seems.

Recommendations from 1xBet in the bonus rules: combine pre-match and live bets. Pre-match odds are stable and easier to analyse. Use live events as a supplement when you see an obvious advantage.

If you are wagering a bonus, place a maximum of 30% of your bets on live events. The remaining 70% should be pre-match accumulators, where you can calmly analyse all events an hour or two before the start. This reduces the number of impulsive decisions.

Typical Situations for Mistakes

Certain moments in matches provoke more mistakes than others:

  • The last 5 minutes of a hockey period — teams often score at the end, and the odds fluctuate sharply;
  • Overtime in basketball — every point critically changes the odds, players bet under time pressure;
  • Penalties in football — before and after penalties, the odds jump sharply, and many bet without waiting for the penalty to be taken;
  • The fourth quarter of the NBA with a difference of <5 points — the outcome is unpredictable, the odds are deceptively attractive;
  • Power play in the NHL — most last 2 minutes, bets on this period are often unprofitable.

Conclusion

Live bets require more discipline than pre-match bets. Avoid emotional decisions by waiting 2-3 minutes before placing a bet. Do not try to win back your losses by increasing the size of your bet — limit yourself to 2% of your bankroll per bet. Check the context of the match using a 5-point checklist. Limit the number of bets to 3 per day on familiar leagues. When wagering a bonus, use live betting in a maximum of 30% of cases. These rules are based on statistics of common mistakes and help to preserve your bankroll.

South Korea Approves State Investment Vehicle to Channel $350bn Into U.S. Projects Amid Tariff Pressures

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South Korea’s parliament has passed a special bill establishing a state-run investment corporation to oversee Seoul’s planned $350 billion investment in the United States, creating the legal framework needed to implement a key economic commitment made to Washington during recent trade negotiations.

The legislation, approved on Thursday, will create a government-financed entity tasked with managing and deploying the investment package, according to reports from Yonhap News Agency.

The corporation will be responsible for executing projects linked to the large-scale investment program pledged as part of Seoul’s effort to secure more favorable “reciprocal” tariff rates from the administration of Donald Trump.

The investment plan allocates $150 billion to shipbuilding and another $200 billion to projects across strategic sectors, with annual spending capped at about $20 billion.

Tariff Tensions Shaping Investment Strategy

The move comes amid trade tensions between Washington and Seoul, which have increasingly shaped industrial and investment policy in Asia’s fourth-largest economy. In January, Trump threatened to raise tariffs on South Korean goods to 25%, up from the 15% rate agreed under a bilateral trade arrangement signed in July 2025.

“South Korea’s Legislature is not living up to its Deal with the United States,” Trump wrote at the time on Truth Social, signaling frustration in Washington over delays in implementing elements of the agreement.

South Korea’s government moved to accelerate legislative approval for the investment vehicle after the warning, reflecting concerns that renewed tariffs could hit exports to one of its most important markets. Trade with the United States remains central to South Korea’s manufacturing economy, which is heavily reliant on exports ranging from semiconductors and automobiles to ships and industrial machinery.

The investment plan has unfolded against a shifting legal backdrop in the United States. Last month, the U.S. Supreme Court struck down a large portion of Trump’s tariff measures, forcing the administration to rework its trade enforcement strategy. In response, the White House imposed new duties of 10% under Section 122 of U.S. trade law, a provision that allows temporary tariffs to address trade imbalances.

South Korean officials say the ruling added uncertainty for exporters, but have indicated that the broader trade framework with Washington remains intact.

“Although the ruling increased uncertainties surrounding exports to the US, the overall export conditions secured through the Korea-US tariff agreement will largely remain intact,” Industry Minister Kim Jung-kwan said in February.

The investment program is also designed to deepen South Korea’s industrial presence in the United States, particularly in sectors considered strategically important.

Shipbuilding, which will receive $150 billion under the plan, has become a focal point as Washington seeks to rebuild maritime industrial capacity and reduce reliance on foreign shipyards.

South Korea already ranks among the world’s leading shipbuilding powers, with companies such as Hyundai Heavy Industries, Samsung Heavy Industries, and Hanwha Ocean dominating global orders for complex vessels, including LNG carriers. Expanding investment in U.S. shipyards could help bridge American capacity gaps while securing long-term commercial opportunities for South Korean industrial groups.

The remaining $200 billion earmarked for strategic sectors is expected to span advanced manufacturing, energy infrastructure, and emerging technologies, areas where Washington has been encouraging foreign investment to strengthen domestic supply chains.

Rising Trade Scrutiny

The legislation also arrives as Washington intensifies scrutiny of major trading partners. The U.S. recently launched investigations under Section 301 of the Trade Act targeting 16 economies, including South Korea. The probe could open the door to new tariffs if the United States determines that those countries have engaged in unfair trade practices.

Section 301 gives the U.S. government authority to impose duties or other trade restrictions on imports from nations judged to have violated international trade norms.

For South Korea, the new state-run investment vehicle is expected to serve both economic and diplomatic objectives: channeling large-scale capital into the U.S. economy while helping stabilize trade relations with a critical export market. Economists say the initiative reflects a broader shift in global trade dynamics, where strategic investment and industrial cooperation increasingly serve as tools to ease tariff tensions and secure market access.

The $350 billion program, if successfully delivered, would rank among the largest overseas investment commitments ever made by the South Korean government.

Perplexity AI Releases Personal Computer Virtual AI Platform 

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Perplexity AI has released Personal Computer, a new virtual AI platform and agentic system. This builds directly on their earlier Perplexity Computer which is a cloud-based, multi-model AI agent for automating workflows, research, coding, and tasks.

It’s described as an “always-on, local merge” with Perplexity Computer. Rather than a traditional hardware product or purely virtual and cloud setup, it turns a dedicated compact desktop—specifically recommended as a Mac mini—into a persistent, 24/7 AI agent that: Runs continuously in the background. Gains secure, local access to your machine’s files, applications, browser sessions, and tools.

Acts as your “digital proxy” or virtual employee, handling complex, long-running tasks autonomously; research, automation, file management, app interactions. Connects to Perplexity’s secure cloud servers for heavy computation, model orchestration using 19+ frontier models like those from OpenAI, Anthropic, Google, and advanced capabilities. Remains controllable from any device (phone, laptop, browser) anywhere, with full user approval required for actions and logging for transparency/security.

Emphasizes privacy and security, keeping sensitive local data on your hardware while leveraging cloud power. The core idea echoes the phrase “AI is the computer” — shifting from traditional OSes that follow instructions to an AI system that pursues objectives independently.

Perplexity Computer ? Cloud/remote agent that operates browser/interfaces for tasks (e.g., booking travel, filling forms, building apps). Personal Computer ? Extends this to your local environment via always-running hardware (like a spare Mac mini), enabling deeper integration with personal files/apps and true 24/7 persistence without relying solely on remote sessions.

It’s positioned as a rival to similar agentic tools references to OpenClaw/Claude Cowork in coverage, but with a focus on local+cloud hybrid for better privacy and capability on personal devices. Announced at Perplexity’s first developer conference (“Ask 2026”). Currently in early access/limited rollout: Users join a waitlist. Perplexity Max/Pro subscribers get priority.

There’s also a related Computer for Enterprise version for businesses. This launch has generated buzz for potentially transforming personal computing—turning idle hardware into a non-stop AI assistant. Early reports highlight excitement around its agentic power but note it’s still emerging, with real-world testing ongoing.

Personal Computer extends the cloud-based Perplexity Computer by running persistently on dedicated local hardware (like a Mac mini), merging secure local access to your files, apps, browser sessions, and tools with Perplexity’s multi-model orchestration (19+ frontier models).

This enables true 24/7 autonomous operation as a “digital proxy” or always-on AI employee. While Personal Computer is in early access (priority for Perplexity Max/Pro users), many use cases build on proven Perplexity Computer workflows, now enhanced with deeper local integration for personal files and persistent background execution.

Set it to run in the background overnight or while you’re away—e.g., scan emails for urgent items, summarize daily news relevant to your interests, organize downloaded files, or prepare morning briefings by pulling from local docs and web sources. Continuously track topics like personal finance, health metrics from local apps, or hobby projects.

Task persistence across devices: Start a complex task like planning a trip on your phone, let Personal Computer handle research/file organization on your local machine overnight, then resume from anywhere. Instruct it to research trending topics in your niche, build SEO-optimized outlines, generate images/videos, draft articles, and export organized files—all running asynchronously while you focus elsewhere. Bloggers and creators use this to replace multiple fragmented tools.

Weekly market/competitor scans: Set recurring tasks like “Every Monday, research top competitors, update a comparison spreadsheet from local files, create slides, and notify me”—ideal for solopreneurs or marketers.

 

Describe an app in plain English (e.g., a gym workout tracker with muscle-group organization, PR tracking, dark mode, no ads), and it codes, designs, deploys prototypes. Early users built and launched real apps like IronLog.co or fitness community platforms in hours/weekends using Perplexity Computer—Personal Computer adds local file integration for custom assets or testing.

Prompts like “Build an interactive S&P 500 bubble chart site” or “Create a fun dopamine-inducing website with a Snake game variant” result in shareable, functional outputs. Automate deep dives or generate financial dashboards pulling from APIs and local data. Set up automated daily/weekly reports on geopolitics, stocks, oil prices, or industry news, combining web data with your local files.

Connect to Snowflake, Salesforce, HubSpot, etc., for querying data, automating reports, or triaging support tickets—Personal Computer could extend this to local employee machines for hybrid personal/business use. Pull earnings transcripts, build revenue charts, or run ongoing market monitoring.

Sensitive local data stays on your hardware; actions require approval, full logging, and a kill switch. Early feedback highlights its strength for long-running, multi-step objectives (hours to months) over one-off chats. Real-world testing is ongoing—many users compare it favorably to tools like Claude Cowork or OpenClaw for depth and reliability.

Iran Reportedly Issued Threats to Target Facilities Associated with Major US Tech Companies 

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Recent reports indicate that Iran has issued threats to target facilities and infrastructure associated with major US tech companies, including Microsoft, Amazon, Nvidia, and others, amid the ongoing escalation in the regional conflict involving Iran, Israel, and the United States.

Iran’s Islamic Revolutionary Guard Corps (IRGC)-affiliated media, particularly the Tasnim news agency, published a list of potential targets under titles like “Iran’s New Targets” or references to “enemy technology infrastructure.” This follows claims of an Israeli strike on a bank in Tehran, which Iran described as illegitimate and prompted a shift toward targeting “economic centers and banks tied to the US and Israel.”

The named companies include: Amazon including AWS data centers and offices in locations like Tel Aviv, Haifa, and the Gulf. Microsoft (offices and cloud infrastructure). Nvidia (R&D centers, notably in Haifa, Israel). Others such as Google, Palantir, IBM, and Oracle.

These targets are primarily regional offices, cloud service facilities, data centers, and R&D sites in Israel, the UAE, Qatar, Bahrain, and other parts of the Middle East. Iran has framed this as expanding the war into “infrastructure warfare,” citing these companies’ alleged links to US/Israeli military applications.

Iran has reportedly already conducted drone strikes on Amazon Web Services (AWS) data centers in the UAE and Bahrain, causing regional outages for banking, payments, and other services. This has raised alarms about the vulnerability of physical tech infrastructure in the Gulf, where major US firms have invested heavily in AI and cloud expansion.

The threats appear focused on Middle Eastern assets rather than US homeland facilities, likely aiming to disrupt economic/digital ties, retaliate asymmetrically, and pressure Gulf states aligned with the US/Israel. Analysts note this could jeopardize trillions in tech investments and AI growth in the region.No confirmed strikes on the newly listed non-Amazon targets have been reported, but the rhetoric has heightened concerns, with some companies reportedly assessing or adjusting operations for employee safety.

Cyber threats to tech firms, particularly major US companies like Microsoft, Amazon, Nvidia, Google, Oracle, IBM, and Palantir, have escalated significantly in the context of the ongoing Middle East conflict. The most immediate and prominent threat stems from Iran’s stated intentions to target physical infrastructure associated with these companies.

Iran’s Islamic Revolutionary Guard Corps (IRGC)-affiliated media, including the Tasnim news agency, has published lists labeling offices, data centers, cloud facilities, and R&D sites as “Iran’s new targets” or “legitimate targets.” This rhetoric frames the expansion into “infrastructure warfare,” retaliating against perceived US/Israeli-linked economic and technological assets.

Iran has already conducted drone strikes on Amazon Web Services (AWS) data centers in the UAE and Bahrain, causing regional outages affecting banking, payments, enterprise services, and consumer apps. These are described as the first known military attacks on a major US hyperscaler’s physical infrastructure.

Iran cites these companies’ alleged ties to US/Israeli military operations. The threats intensified after an alleged Israeli strike on a Tehran bank, prompting a shift to economic/digital targets. This represents a hybrid threat blending physical kinetic attacks with potential cyber elements, though reports so far emphasize physical strikes disrupting cloud availability and regional digital services.

Beyond the Iran-specific escalation, tech companies face a range of evolving cyber risks: AI-Driven Attacks: Sophisticated phishing, malware, and adaptive threats using generative AI to evade detection. Increasingly strategic attacks stealing and threatening to leak data.

Exploitation of third-party vendors and zero-day flaws. Nation-state actors including Iran-aligned groups targeting critical infrastructure, with reports of Iranian hacktivist mobilization post-escalation. Rising as a top intrusion vector. These general trends compound regional risks, where physical damage to data centers could cascade into widespread cyber-disruption.

Threats jeopardize trillions in AI/cloud investments in the Gulf. Outages have already hit services; prolonged conflict could stall regional AI growth. Firms like Amazon, Google, Nvidia, and others are assessing sites, implementing emergency protocols, temporarily pausing operations, or shutting facilities for employee safety.

Highlights vulnerabilities of hyperscale cloud infrastructure in geopolitically volatile areas, potentially forcing diversification of data storage and rethinking “secure” locations. The situation remains fluid amid the broader US-Israel-Iran conflict—no major new confirmed strikes on the expanded list (beyond prior AWS hits) —but the rhetoric and precedent raise serious concerns for tech sector resilience.

Agentic AI in Business: Why Change Will Hit Faster Than Most Executives Expect

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For years, business leaders have heard the same promise about artificial intelligence. Better forecasting, smarter analytics, faster service, cleaner reporting. Much of that sounded useful, but not always urgent. Agentic AI changes the mood completely. This is not just software that answers questions or summarizes documents. This is software designed to take action, make decisions within defined limits, and move work forward without waiting for constant human nudges. That shift matters more than many boardrooms seem ready to admit.

The early misunderstanding comes from treating agentic systems as a polished chatbot with extra features. That view misses the real point. Business tools now operate in environments where speed, automation, and digital identity are tightly linked, much like the difference between a casual account setup and a carefully managed instagram proxy workflow built for control, continuity, and scale. In the same way, agentic AI is not impressive because it talks well. It is disruptive because it can coordinate steps, trigger processes, and keep moving toward a goal.

Why This Version of AI Feels Different

Traditional enterprise software usually waits for instruction. A dashboard shows data. A workflow tool sends a reminder. A reporting system describes what already happened. Agentic AI pushes beyond that passive role. It can monitor conditions, interpret priorities, choose from approved actions, and complete sequences that once required several people across several tools.

The real acceleration comes from compound effects. One useful agent saves an hour. Ten agents change a team’s weekly rhythm. A network of agents begins to alter expectations around response times, staffing needs, and decision speed. At that point, the discussion stops being theoretical. The operating model itself starts to shift.

The First Signs Companies Tend to Miss

Many leaders look for disruption in obvious places. They expect a total platform overhaul or a headline-grabbing product launch. That is not always where the first meaningful change appears. More often, the first signs are operational.

  • Routine approvals start moving faster
    Small decisions that once sat in inboxes for hours begin moving in minutes.
  • Teams spend less time coordinating simple tasks
    Fewer follow-up messages are needed when systems can assign, check, and escalate automatically.
  • Internal service functions become more responsive
    HR, finance, procurement, and support teams start resolving repetitive requests with less delay.
  • Managers notice cleaner execution, not just better reporting
    The value shifts from seeing work to finishing work.
  • Employees begin relying on systems for next-step guidance
    Instead of asking what should happen next, staff increasingly receive structured action paths from AI-supported tools.

These signals can look minor in isolation. Together, though, they point to something larger. Agentic AI does not simply add efficiency to the edge of a business. It begins to reshape the center.

Resistance Will Not Come Only From Technology

The interesting part is that technical limitations may not be the biggest obstacle. Culture will probably slow adoption more than software. Many executives are comfortable with AI as an assistant but uneasy with AI as an active operator. Analysis feels safe. Action feels political. Once a system starts influencing priorities, timing, and execution, old questions return. Who is accountable? How much autonomy is acceptable? Which decisions must stay human?

Those questions are valid. Blind trust would be reckless. Still, excessive hesitation carries its own cost. Competitors do not need perfect systems to gain an advantage. An imperfect but useful agentic setup can still reduce delays, lower administrative drag, and free strong employees for higher-value work. In business, small gains repeated every day become strategic advantages long before they look dramatic on paper.

There is also a status issue buried underneath the technology debate. Agentic AI changes how authority feels. In many organizations, influence has long been tied to gatekeeping information, reviewing small decisions, and controlling process flow. When software begins handling part of that flow, leadership roles must evolve. That can create quiet resistance, even when the business case looks obvious.

Questions Smart Businesses Should Ask Early

Before the second list, one fact deserves a clear look. The right question is no longer whether agentic AI will matter. The better question is where the first high-trust use case should begin. Businesses that wait for perfect certainty may end up learning from competitors instead of leading the shift.

  • Which processes involve repetitive decisions with clear rules?

  • Where does work slow down because too many small approvals pile up?

  • Which teams lose the most time to coordination rather than expertise?

  • What tasks need consistency more than creativity?

  • Where can human review remain in place while AI handles the first draft of action?

  • Which internal systems already contain enough structured data to support reliable automation?

These questions move the conversation away from hype and toward operational reality. That is where useful adoption begins. Not with futuristic slogans, but with pressure points that everyone already feels.

The Real Surprise Will Be the Speed of Normalization

The biggest reason executives may underestimate agentic AI is simple. Most technological change feels slow until the new behavior becomes ordinary. Email once felt optional. Cloud software once felt risky. Remote collaboration once felt like a compromise. Then the market adjusted, habits changed, and yesterday’s novelty became basic expectation.

Agentic AI is heading in the same direction, only faster. Once businesses see systems handling structured tasks with acceptable accuracy and measurable value, patience for manual bottlenecks will drop. Customers will expect quicker service. Teams will expect fewer repetitive chores. Leaders will expect more output from the same overhead.

That is why this shift matters now. Not because every company will transform overnight, but because the winners will start building practical habits before the laggards finish debating definitions. In business, the future rarely arrives with thunder. More often, it slips in through the side door, rearranges the furniture, and by the time the room feels different, the old layout is already gone.