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OpenAI bans China-linked accounts that allegedly used ChatGPT to create social media content aimed at influencing public opinion. The company revealed the findings in a report released on Wednesday. According to OpenAI, the accounts generated posts about AI data centers, electricity costs, and U.S. trade policies.

The report stated that a group of ChatGPT accounts from China produced content claiming AI data center expansion raised electricity prices for American households. OpenAI said the accounts were likely connected to a social media operations team at a private Chinese technology company. The firm reportedly worked with provincial-level government clients in China.

OpenAI bans China-linked accounts that also created content criticizing U.S. tariffs. The generated posts described tariffs as efforts to dominate technological competition. OpenAI found prompts directing writers to mention President Donald Trump while excluding references to Chinese President Xi Jinping.

The company said the campaign appeared designed to influence international audiences. However, OpenAI could not confirm any direct institutional affiliation.

According to the report, another network spread claims that ChatGPT user data had been compromised. OpenAI rejected those allegations and described them as completely false.

Key findings included:

• Content targeting AI data center development.
• Posts criticizing U.S. tariff policies.
• Messages focused on economic concerns.
• Claims regarding ChatGPT data security.
• Activity linked to likely inauthentic social media accounts.

OpenAI bans China-linked accounts as part of its efforts to prevent platform misuse. The company noted that most identified posts received little engagement. Despite that, OpenAI called the findings significant because they revealed tested narratives and influence strategies.

The company also described it as remarkable that American AI tools generated content about American AI policies. OpenAI added that its services remain unavailable in China, and the accounts accessed the platform through VPNs.

China's embassy in the United States told Reuters it was unfamiliar with the report and opposed what it called groundless attacks or smears against China.

The Samsung Element Biosciences investment marks a major step in precision medicine development. The Samsung Element Biosciences investment expands Samsung presence in genomic healthcare. The Samsung Element Biosciences investment supports advanced DNA sequencing innovation. It strengthens Samsung position in future medical technologies and data-driven healthcare systems.

Investment Details and Technology

Samsung Electronics invested 175 million dollars in Element’s Series E funding round. The Samsung Element Biosciences investment makes Samsung the largest shareholder. Element Biosciences operates from "San Diego" and launched in (2017). It delivers DNA sequencing accuracy near 99.99 percent. It also reduces analysis costs for large-scale genomic studies. The Samsung Element Biosciences investment strengthens collaboration in multi-omics technology.

Element integrates DNA, RNA, and protein analysis in one platform. This system improves efficiency in genomic diagnostics workflows. Samsung sees strong potential in precision medicine expansion. The Samsung Element Biosciences investment supports future healthcare innovation.

Key highlights include:

• $175 million Series E investment by Samsung Electronics
• Element’s multi-omics single-device analysis capability
• DNA sequencing accuracy reaching 99.99 percent
• Devices like Aviti 24 and upcoming Aviti Dx
• Focus on personalized cancer treatment support

Future Healthcare Integration

Samsung aims to combine wearable data with genomic analysis. Galaxy Watch and Galaxy Ring data will support personalized healthcare. The Samsung Element Biosciences investment enables AI-driven health solutions. Samsung integrates AI algorithms with Element software systems. This improves real-time genomic data processing speed. It enhances early disease detection accuracy.

Element CEO Molly He highlighted continued scientific advancement goals. Samsung President Roh Tae-moon emphasized AI and healthcare synergy. The Samsung Element Biosciences investment drives digital health expansion. This partnership supports next-generation medical diagnostics.

Samsung continues to explore long-term healthcare applications. The Samsung Element Biosciences investment strengthens its biotech strategy. It aligns genomic science with artificial intelligence systems. Healthcare platforms may evolve into fully personalized ecosystems. Data from wearables will merge with genomic databases. This integration supports faster clinical decision-making processes. It also improves risk prediction for chronic diseases. The Samsung Element Biosciences investment may reshape global diagnostics markets. It positions Samsung strongly in life sciences innovation. The collaboration builds scalable digital health infrastructure worldwide. 

Anthropic has introduced Claude Fable 5, a new Mythos-class artificial intelligence model built for safe general use. The company announced the launch on Tuesday and described it as its most capable public model to date.

According to Anthropic, Claude Fable 5 delivers stronger performance across several professional tasks. The model performs well in software engineering, knowledge work, computer vision, and scientific research. It also handles longer and more complex assignments more effectively than previous Claude models.

Anthropic stated that Claude Fable 5 can work independently for longer periods. The model can manage advanced workflows while maintaining reliable performance.

Key highlights include:

• Enhanced software engineering capabilities
• Improved scientific research support
• Stronger computer vision performance
• Better handling of complex tasks
• Extended autonomous operation

The company has implemented conservative safeguards to reduce misuse risks. These measures focus particularly on cybersecurity-related activities.

Certain requests will automatically route to Opus 4.8 instead of Claude Fable 5. Anthropic expects these safeguards to activate in less than five percent of average sessions.

Most cybersecurity, chemistry, and biology questions will receive responses from Opus 4.8. This approach aims to maintain responsible AI deployment while supporting legitimate use cases.

Anthropic also released Claude Mythos 5 to selected cyber defenders and infrastructure providers. The model uses the same foundation as Fable 5 but operates with fewer restrictions.

Mythos 5 is part of Project Glasswing and replaces the Claude Mythos Preview. Anthropic claims it offers the strongest cybersecurity capabilities available in any model today.

Both Claude Fable 5 and Mythos 5 cost $10 per million input tokens and $50 per million output tokens.

Claude Fable 5 remains available through Pro, Max, Team, and seat-based Enterprise plans until June 22. After that date, users must spend credits for access. Anthropic plans to restore subscription access once capacity reaches a stable level.

The announcement marks an important step in Anthropic's AI roadmap while balancing capability and responsible deployment.

• OpenAI Lockdown Mode introduces a new security feature against prompt injection attacks.
• OpenAI Lockdown Mode restricts how ChatGPT interacts with web-based content sources.
• OpenAI Lockdown Mode focuses on limiting exposure to malicious embedded instructions.

The company designed OpenAI Lockdown Mode to disable live web browsing entirely.
OpenAI Lockdown Mode allows only cached content for safer information retrieval.
It also blocks web images while still allowing image generation inside ChatGPT.

OpenAI Lockdown Mode limits deep research tools and agent mode functionality.
Even with safeguards, OpenAI Lockdown Mode is not fully immune to manipulation attempts.

Lockdown Mode Security Approach

OpenAI Lockdown Mode aims to reduce data exfiltration from prompt injection threats.
It helps organizations control how external content interacts with AI systems.
The feature especially supports environments handling sensitive information across workflows.

• Disables live web browsing for controlled access environments.
• Restricts OpenAI Lockdown Mode to cached web content only.
• Prevents retrieval of web images while allowing generated images.
• Limits agent and deep research tools for safer operations.
• Reduces exposure to prompt injection from external sources.

OpenAI Lockdown Mode strengthens compliance for enterprises using generative AI at scale.
OpenAI Lockdown Mode helps reduce unintended exposure from external prompt manipulation attempts.
Organizations can configure OpenAI Lockdown Mode depending on their operational security requirements.
This update reflects growing demand for safer enterprise AI deployment strategies worldwide.

OpenAI Lockdown Mode continues to evolve with feedback from enterprise users.
Future updates may expand protections and refine web interaction controls further.

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.