Pashto Medium

AI productivity in Pakistan has attracted increasing attention as artificial intelligence becomes part of everyday work. Businesses, universities, banks, and technology firms now use AI tools to complete tasks more quickly. These systems help users write content, analyze data, prepare reports, and automate routine work. While AI reduces effort and saves time, its impact on overall economic productivity remains limited.

The situation reflects a growing challenge. Individual efficiency is improving, yet national output is not increasing at the same pace. This difference suggests that faster work alone cannot transform economic performance.

Artificial intelligence has gained traction across several sectors in Pakistan. Educational institutions use AI for research and learning activities. Businesses employ automation tools to support operations. Financial institutions apply AI to customer interactions and reporting processes.

Current areas of adoption include:

• Education and academic research
• Banking and financial services
• Small and medium-sized enterprises
• Software development
• Freelance and digital work

Although adoption is increasing, AI productivity in Pakistan still faces structural barriers.

AI often enables workers to finish tasks in less time. Developers generate code faster. Office staff prepare documents more efficiently. Customer service teams handle requests more quickly.

However, many organizations continue using outdated systems. They introduce AI without changing existing procedures. As a result, inefficiencies remain embedded within daily operations.

This approach limits the broader benefits of AI productivity in Pakistan and reduces its influence on organizational performance.

Technology alone cannot improve productivity. Many workplaces lack the skills and systems needed to maximize AI benefits.

Several obstacles continue to affect progress:

• Limited understanding of AI tools
• Shortages of technical training
• Unequal digital access
• Weak automation planning
• Slow organizational processes

These issues prevent many organizations from fully integrating AI into decision-making and workflow management.

The impact of AI varies by sector. Students complete assignments more quickly, but educational outcomes remain inconsistent.

Small businesses use AI for marketing and administration. Yet many companies report limited improvements in growth and expansion.

Software teams accelerate development tasks. However, testing, collaboration, and maintenance still require substantial time.

Banks improve reporting speed, but core productivity indicators show little change.

Improving AI productivity in Pakistan requires organizational and policy changes. Businesses must redesign processes rather than simply adding new tools.

Key priorities include:

• Developing AI-related skills
• Modernizing workflows
• Expanding digital infrastructure
• Supporting AI-driven innovation
• Focusing on value creation

Experts view this shift as a critical requirement for long-term economic progress. A promising future depends on transforming AI from a convenience tool into a driver of sustainable productivity growth.

The world's first Prefabricated Computing Center Base has started operations in Qingdao, located in eastern China's Shandong Province. The facility introduces a new approach to building computing infrastructure. Compared with conventional facilities, it can reduce construction time by nearly 70%, helping speed up project delivery.

A computing center depends on a reliable energy system for continuous operation. The Prefabricated Computing Center Base serves as the central power hub that supplies stable electricity to computing equipment. Consistent power delivery plays a major role in maintaining computing performance and system reliability.

Design and Cost Advantages

The facility features a modular structure with dimensions of about 53 meters in length and 41 meters in width. It occupies approximately 2,200 square meters of space.

Compared with traditional computing center bases, the project offers several benefits:

• Construction time shortened by nearly 70%
• Land requirements reduced by more than 30%
• Overall project costs lowered by about 20%
• Civil engineering expenses reduced by nearly 80%
• Faster deployment for computing infrastructure projects

These improvements support more efficient infrastructure development while reducing resource consumption.

Support for Green Electricity

One notable feature of the Prefabricated Computing Center Base is its ability to connect directly to renewable energy sources. This setup enables the facility to use 100% green electricity.

The design can help token users lower electricity costs by around 30%. Energy-storage systems further strengthen operational efficiency. An intelligent coordination platform continuously aligns power supply with computing demand. This process helps improve energy utilization and may reduce overall computing expenses.

High Power Reliability

Data centers require uninterrupted electricity to support intensive computing tasks. Even a power interruption lasting only seconds can disrupt operations and create financial losses.

To improve stability, the Prefabricated Computing Center Base includes multiple redundant power circuits. This configuration allows the system to achieve a power reliability rate close to 100%.

The design helps maintain continuous operations and supports demanding computing workloads without major interruptions.

Expansion Plans for the New Model

The facility has already been connected to a company-operated data center. Wider deployment is expected later this year.

Developers plan to introduce the Prefabricated Computing Center Base across national-level data center clusters and regional computing hubs. The project provides a scalable and low-carbon option for future computing infrastructure development. It also offers a practical framework for expanding computing capacity while improving energy efficiency and deployment speed.

//With input from CGTN

Hydrogen coal co-combustion technology China has reached a new stage of development in power generation systems.

Password Security remains a major concern as cyber threats continue to evolve. Kaspersky experts analyzed 231 million unique passwords found in major password leaks between 2023 and 2026. The study uncovered several patterns that make many passwords vulnerable to attacks.

The analysis revealed that 68.2% of passwords can be hacked within a day. Researchers also found that 60.2% of all analyzed passwords can be cracked in about one hour, regardless of their length.

Key Findings From the Password Security Research

Several common patterns appeared throughout the leaked passwords:

• 53% of passwords ended with numbers.
• 17% started with numbers.
• Nearly 12% contained date-like number sequences from 1950 to 2030.
• About 3% included keyboard patterns such as "qwerty" or "ytrewq".
• Many passwords used simple numeric sequences like "1234".

These predictable structures make Password Security weaker because attackers often test such combinations first.

Common Symbols Used in Passwords

Many online services require passwords with at least 10 characters. They also require one uppercase letter and either a number or a special symbol.

However, the research showed that following only these rules may not provide full protection against AI-powered attacks.

Among leaked passwords:

• The "@" symbol appeared in 10% of cases.
• The "." symbol appeared in 3% of passwords.

Because these symbols appear frequently, attackers often include them in password-cracking attempts.

Popular Words Reduce Password Security

Kaspersky experts also examined the words people use in passwords. The study found that positive words appeared more often than negative ones.

Frequently used words included:

• love
• magic
• friend
• team
• angel
• star
• eden

Other words such as "hell," "devil," "nightmare," and "scar" also appeared in leaked passwords.

According to Kaspersky Data Science Team Head Alexey Antonov, common symbols, dates, and numbers make attacks easier, especially when placed at the beginning or end of passwords.

How to Improve Password Security

Researchers recommend avoiding single-word passwords. Adding a number or symbol at the end does not make a password strong enough.

Better Password Security practices include:

• Use passwords with 16 or more characters.
• Avoid predictable dates and number patterns.
• Mix different character types throughout the password.
• Use less common character combinations.
• Store credentials with a password manager.

The study highlights an important lesson. The longer and less predictable a password becomes, the harder it is to crack. Effective Password Security depends on creating passwords that attackers cannot easily anticipate.

China Germany industrial rivalry is reshaping global markets and supply chains today. China Germany industrial rivalry now impacts automotive, machinery, and energy sectors strongly. Germany faces rising competition as China expands advanced manufacturing capabilities and digital innovation rapidly.

Kim Jong Un mother name secrecy remains a major topic in North Korea politics. Kim Jong Un leads the state under strict narrative control. He has never publicly mentioned his mother’s name in official speeches. This silence shapes leadership messaging inside North Korea.

The Kim dynasty links its authority to the myth of Mount Paektu. Kim Jong Un mother name secrecy supports this ideological framework. The state highlights revolutionary heritage tied to Kim Il Sung. Mothers of past leaders received symbolic national honor.

Kim Jong Un mother name secrecy contrasts with earlier public family recognition. Ko Yong Hui remains less visible in official propaganda. She was born in Osaka in 1952. Her family background traces to Korean residents in Japan. These communities are known as Zainichi Koreans.

Ko Yong Hui’s heritage includes migration history during the colonial period. Many returned migrants once faced mixed state perception. North Korea labeled some returnees as ideologically risky. Social classification affected access to institutions and resources. Kim Jong Un mother name secrecy reflects this historical sensitivity.

The leadership lineage of Kim Jong Il also shaped state narrative rules. Kim Jong Un mother name secrecy differs from earlier maternal references in propaganda. Previous leaders’ mothers received public reverence and naming honors. The current approach avoids similar public identification patterns.

Kim Jong Un mother name secrecy continues to influence political messaging systems. Official narratives focus on controlled family representation. The state prioritizes ideological stability over personal disclosure. Analysts link this approach to lineage legitimacy strategy in governance.

In conclusion, Kim Jong Un mother name secrecy remains embedded in state communication practice. It connects leadership identity with controlled historical framing. The policy maintains consistent silence around Ko Yong Hui. This structure reinforces continuity within North Korea’s ruling narrative system.

//With input from BBC Story

The Google floating search bar is an experimental desktop feature under Project Loom in Chrome Canary. The Google floating search bar appears as a keyboard-triggered overlay independent of any browser window. The Google floating search bar routes queries directly into AI tools without extra clicks. Google aims to simplify desktop search through this interface design.

The Google floating search bar separates search input from the traditional Chrome URL bar. Users activate the Google floating search bar using a key combination on desktop systems. The interface resembles Spotlight Search on macOS and PowerToys Run on Windows. The Google floating search bar replaces conventional browsing steps with direct query handling. It provides an "Ask anything" field as the primary interaction point.

The Google floating search bar integrates AI tools as the default search method. Users can upload images and analyze documents directly within the Google floating search bar. The system also supports AI-generated artwork from the same interface. A plus menu expands functionality inside the Google floating search bar. The Google floating search bar combines search, analysis, and creation in one overlay.

The feature remains in experimental status within Chrome Canary developer builds. Access to the Google floating search bar requires enabling developer flags. Google has previously modified or removed similar experimental features before release. Industry observers consider adoption of the Google floating search bar still uncertain.

The Google floating search bar reflects Google's push toward AI-first desktop interaction. Its final rollout depends on testing outcomes and user feedback.

The AI environmental impact is becoming a growing global concern, according to a United Nations warning. The UN urges countries to address the rising ecological pressure caused by rapidly expanding artificial intelligence systems.

The AI environmental impact is linked mainly to data centers that power AI systems. These facilities consume large amounts of electricity for computation and cooling. They also require significant water resources to prevent overheating during continuous operation.

A recent UN report highlights that the AI environmental impact extends beyond data centers alone. It includes chip manufacturing, rare mineral extraction, and electronic waste generation. These processes add further strain on natural resources.

The report notes that billions of daily AI interactions increase the AI environmental impact. Every prompt, image generation, and online search requires computing power. This continuous demand significantly raises energy consumption across global systems.

Experts warn that the AI environmental impact may intensify as AI adoption grows. Expanding infrastructure could increase carbon emissions and pressure on water supplies. Land use for new facilities also contributes to environmental stress.

The United Nations recommends that governments and companies prioritize sustainability in every artificial intelligence-related decision. They encourage efficient technologies, cleaner energy use, and better resource management. Investors are also urged to support environmentally responsible AI development.

The AI environmental impact must be considered in future planning to avoid long-term ecological damage. Without strong policies, AI growth could place heavy strain on global ecosystems and resources.

The UN stresses balanced development of artificial intelligence technology. It emphasizes that innovation should not come at the cost of environmental stability. Sustainable practices are essential for managing the AI environmental impact responsibly.