Security warning issued over OpenClaw AI agent

Cybersecurity authorities have warned that vulnerabilities in the OpenClaw AI agent could expose sensitive data. Officials in China say weak default security settings may allow attackers to exploit the system.

Experts in China warned that prompt injection attacks could manipulate OpenClaw when it accesses online content. Malicious instructions hidden in websites may cause the AI agent to reveal confidential information.

Researchers have also identified risks involving link previews in messaging apps such as Telegram and Discord. Investigators in China say attackers could trick the system into sending sensitive data to malicious websites.

Security specialists in China advise organisations to strengthen protections around AI agents. Recommendations include isolating systems, limiting network access and installing trusted software components only.

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Seoul deepens ties with global AI developers

South Korea is pursuing a partnership with AI company Anthropic as part of a national strategy to strengthen technological capabilities. Officials are working toward a memorandum of understanding with the developer of the Claude AI system.

The initiative follows discussions between South Korea’s science minister and Anthropic’s chief executive, Dario Amodei, during an AI summit in New Delhi. Authorities are also preparing for the company’s planned office opening in the city in 2026.

Government leaders in South Korea have already expanded cooperation with OpenAI. Policymakers say the strategy aims to build ties with leading global AI developers while supporting domestic innovation.

Officials are also developing a homegrown AI foundation model with local companies. The programme forms part of a national plan to position the country among the world’s leading AI powers.

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AI and robotics could offset impact of aging populations in Asia

Declining fertility rates have long been considered a major risk to economic growth, but analysts suggest the outlook may not be entirely negative for several advanced Asian economies. Rising investment in AI and robotics is increasingly viewed as a way to offset labour shortages caused by ageing populations.

According to analysts at Bank of America Global Research, technological innovation driven by AI and robotics could support productivity growth even as workforces shrink. Strong ecosystems in semiconductors, technology hardware, and industrial machinery allow some countries in the region to deploy advanced technologies faster and at lower cost than many other parts of the world.

South Korea currently has the highest robot density in the world, with about 1,012 industrial robots per 10,000 manufacturing workers. China has 470 and Japan 419, both significantly above the global average of 162, according to 2024 figures from the International Federation of Robotics.

Analysts say governments across East Asia are accelerating the adoption of AI and robotics to address demographic pressures. In particular, China, South Korea, and Japan have expanded investments in robotics, AI systems, and advanced manufacturing technologies to maintain economic productivity.

Population projections highlight the scale of the challenge facing these economies. By 2050, about 37 percent of Japan’s population and nearly 40 percent of South Korea’s population are expected to be aged 65 or older, while China’s share could reach around 31 percent.

Despite concerns about slowing growth, economists argue that advances in AI and robotics could weaken the traditional link between economic output and workforce size. Automation technologies not only replace routine tasks but also enhance human productivity in many industries.

A study by the Bank of Korea estimated that demographic pressures could reduce the country’s gross domestic product by 16.5 percent between 2023 and 2050. However, wider adoption of AI and robotics could limit the decline to around 5.9 percent under favourable conditions.

Some analysts caution that the economic benefits of automation may not be evenly distributed. While AI and robotics can improve productivity, technological gains often benefit capital owners and highly skilled workers more than others.

Economists also warn that consumption may slow as the number of households declines, while governments may face greater fiscal pressure from higher pension and healthcare costs. Policymakers may need to invest in workforce retraining and education to help workers adapt to the growing role of AI and robotics in the economy.

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Google Earth AI supports disease forecasting and public health planning

Researchers are increasingly combining geospatial data with predictive modelling to anticipate health risks.

In that context, Google has introduced new capabilities within Google Earth AI designed to help public health experts forecast outbreaks and identify vulnerable communities.

The system integrates environmental information such as weather patterns, flooding and air quality with population mobility data and health records.

These insights allow researchers to analyse how environmental conditions influence the spread of diseases, including Dengue Fever and Cholera.

Several research initiatives are already testing the models. In collaboration with the World Health Organisation Regional Office for Africa, forecasting tools combining Google’s time-series models with geospatial data improved cholera prediction accuracy by more than 35 percent.

Academic researchers are also applying the technology to other diseases. Scientists at the University of Oxford have used Earth AI datasets to improve six-month dengue forecasts in Brazil, helping local authorities prepare preventative responses.

The technology is also being tested for chronic disease analysis. In Australia, partnerships with health organisations are exploring how geospatial models can identify regional health needs and support preventative care strategies.

Combining environmental intelligence with health data could enable public health systems to shift from reactive crisis management to earlier detection and prevention of disease outbreaks.

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China prioritises AI and tech self-reliance in new five-year plan

A new five-year development plan approved by lawmakers in Beijing places innovation and advanced technology at the centre of future economic growth. The strategy is designed to strengthen technological capabilities and position China as a leading global tech power.

The plan outlines ambitions to upgrade China’s industrial sector, expand domestic research capacity, and reduce reliance on foreign technologies. Priority sectors include AI, robotics, aerospace, biotechnology, and quantum computing. Officials see these industries as key drivers of economic growth over the coming decades.

AI features prominently in the strategy, with the term appearing dozens of times in the policy document. Beijing plans to expand AI-related industries, invest in large computing clusters, and support the development of advanced systems capable of performing complex tasks beyond traditional chatbots.

China also aims to increase spending on science and technology, with government research budgets rising by around 10 percent annually. The plan sets a target of expanding research and development investment by at least 7 percent per year, reflecting Beijing’s intention to strengthen domestic innovation capacity.

Efforts to achieve greater technological self-sufficiency come amid continued tensions with the United States over trade and technology restrictions. Export controls on advanced semiconductor technologies have highlighted China’s dependence on foreign chips, prompting the government to pursue breakthroughs across the semiconductor supply chain and emerging technologies.

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France pushes EU AI gigafactories to support European technology

In the EU, France is calling for planned European AI ‘gigafactories’ to focus on testing and scaling European technologies rather than primarily increasing demand for hardware from companies such as Nvidia.

The large computing facilities are intended to provide the infrastructure needed to train advanced AI systems. However, officials in France argue that the projects should strengthen Europe’s technological capabilities rather than reinforce reliance on foreign suppliers.

Several EU countries, including Poland, Austria and Lithuania, support using the infrastructure to improve Europe’s digital resilience.

The initiative forms part of the European Commission’s wider plans to expand computing capacity and support the development of a stronger European AI ecosystem.

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OpenAI says ChatGPT advertisements remain limited to the US

Despite speculation that the feature was expanding internationally, OpenAI has clarified that advertisements in ChatGPT are currently available only to users in the US.

Questions about a broader rollout emerged after references to advertisements appeared in the platform’s updated privacy policy. Some users interpreted the language as evidence that advertising would soon be introduced globally.

OpenAI said the policy update does not signal an immediate expansion. According to the company, advertising features are still being tested within the US as part of a gradual deployment strategy.

ChatGPT advertisements were introduced in February 2026 and appear below responses generated by the chatbot. The ads are shown only to logged-in users on free subscription tiers and are not displayed to users under eighteen.

Company representatives stated that advertising systems operate independently from the AI model that generates responses. According to OpenAI, advertisers cannot influence or modify the content produced by ChatGPT.

The company also said it does not share user conversations or personal chat histories with advertisers. However, advertisements may still be personalised based on user queries, which has prompted discussions about how conversational interfaces could shape consumer decisions.

OpenAI indicated that it is adopting a cautious, phased approach before considering any wider rollout of ChatGPT advertising features in other markets.

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OpenAI plans to integrate Sora video generation into ChatGPT

According to reports, OpenAI is preparing to integrate its AI video generator Sora directly into ChatGPT, a move that could expand the platform’s capabilities beyond text and image generation.

Sora currently operates as a standalone application and web service. Integrating the tool into ChatGPT could dramatically increase its visibility and usage, particularly given the chatbot’s massive global user base.

The company released an updated version of the model in 2025 that allows users to create, remix and even appear inside AI-generated videos. Bringing those features into ChatGPT would represent a major step toward making video generation a mainstream function within conversational AI systems.

Competition in the generative video market is intensifying. Companies, including Google, are developing similar technologies, with the company’s Gemini platform offering video creation powered by the Veo system. Other developers are also launching text-to-video models as the field rapidly expands.

Despite the potential growth, integrating video generation into ChatGPT may significantly increase operating costs. Running large AI systems requires vast computing resources and energy, and the chatbot already costs billions of dollars annually to operate.

Although OpenAI earns revenue from subscriptions, the majority of ChatGPT users currently use the free version. The company is therefore exploring additional monetisation strategies, including advertising and new premium services.

Integrating Sora into ChatGPT could therefore serve both strategic and financial goals, strengthening the platform’s position in the competitive generative AI market while expanding the types of content users can create.

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AI tools encourage exploration in creative tasks

AI is often associated with automation and job replacement, yet new research from Swansea University suggests a different role. Findings indicate that AI can serve as a creative collaborator, encouraging exploration and deeper engagement during design tasks.

Researchers from the university’s Computer Science Department ran an experiment with over 800 participants using an AI-supported system to design virtual cars.

Rather than optimising results, the system generated galleries with varied design ideas, including effective, unusual, and intentionally flawed concepts.

According to lead researcher Sean Walton, exposure to AI-generated suggestions increased participants’ involvement. Many users spent longer working on the task and produced stronger designs after interacting with the system’s diverse proposals.

The study in ACM Transactions on Interactive Intelligent Systems argues that traditional methods for evaluating AI tools are too narrow. Researchers believe broader assessments are needed to measure how AI affects human thinking, emotions, and creative exploration.

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AI technology set to reshape farming and rural life in South Korea

South Korea has launched a national agenda to expand AI across agriculture, aiming to boost productivity and improve living standards in rural communities. Officials from the Ministry of Agriculture, Food and Rural Affairs and the Ministry of Science and ICT presented the strategy as part of a wider digital transformation effort.

Plans include expanding smart farm models that reduce labour-intensive tasks and allow more farmers to benefit from automated technologies. Shared machinery centres and autonomous farming tools such as drones will be developed with support from the Rural Development Administration.

Authorities also intend to apply AI to agricultural distribution through smart logistics facilities that manage receiving, sorting and shipping processes. Around 300 smart Agricultural Products Processing Centres are expected to operate nationwide by 2030.

Livestock grading systems using AI will be introduced to improve accuracy and consumer trust across pork and beef processing facilities. Officials aim to raise the share of AI-graded meat from 19.4 percent in 2025 to 70 percent by 2030.

Beyond production, the programme seeks to expand ‘smart rural communities’ offering AI-based services such as transport, daily living support and farming assistance. Policymakers believe that a stronger digital infrastructure will help rural regions respond to climate pressures and an ageing population.

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