A Guardian investigation has found that Google’s AI Overviews have displayed false and misleading health information that could put people at risk of harm. The summaries, which appear at the top of search results, are generated using AI and are presented as reliable snapshots of key information.
The investigation identified multiple cases where Google’s AI summaries provided inaccurate medical advice. Examples included incorrect guidance for pancreatic cancer patients, misleading explanations of liver blood test results, and false information about women’s cancer screening.
Health experts warned that such errors could lead people to dismiss symptoms, delay treatment, or follow harmful advice. Some charities said the summaries lacked essential context and could mislead users during moments of anxiety or crisis.
Concerns were also raised about inconsistencies, with the same health queries producing different AI-generated answers at different times. Experts said this variability undermines trust and increases the risk that misinformation will influence health decisions.
Google said most AI Overviews are accurate and helpful, and that the company continually improves quality, particularly for health-related topics. It said action is taken when summaries misinterpret content or lack appropriate context.
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Chinese President Xi Jinping said 2025 marked a year of major breakthroughs for the country’s AI and semiconductor industries. In his New Year’s address, he said that Chinese technology firms had made significant progress in AI models and domestic chip development.
China’s AI sector gained global attention with the rise of DeepSeek. The company launched advanced models focused on reasoning and efficiency, drawing comparisons with leading US systems and triggering volatility in global technology markets.
Other Chinese firms also expanded their AI capabilities. Alibaba released new frontier models and pledged large-scale investment in cloud and AI infrastructure, while Huawei announced new computing technologies and AI chips to challenge dominant suppliers.
China’s progress prompted mixed international responses. Some European governments restricted the use of Chinese AI models over data security concerns, while US companies continued engaging with Chinese-linked AI firms through acquisitions and partnerships.
Looking ahead to 2026, China is expected to prioritise AI and semiconductors in its next five-year development plan. Analysts anticipate increased research funding, expanded infrastructure, and stronger support for emerging technology industries.
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AI is rapidly becoming the starting point for many everyday activities, from planning and learning to shopping and decision-making. A new report by PYMNTS Intelligence suggests that AI is no longer just an added digital tool, but is increasingly replacing traditional entry points such as search engines and mobile apps.
The study shows that AI use in the United States has moved firmly into the mainstream, with more than 60 per cent of consumers using dedicated AI platforms over the past year. Younger users and frequent AI users are leading the shift, increasingly turning to AI first rather than using it to support existing online habits.
Researchers found that how people use AI matters as much as how often they use it. Heavy users rely on AI across many aspects of daily life, treating it as a general-purpose system, while lighter users remain cautious and limit AI to lower-risk tasks. Trust plays a decisive role, especially when it comes to sensitive areas such as finances and banking.
The report also points to changing patterns in online discovery. Consumers who use standalone AI platforms are more likely to abandon older methods entirely, while those encountering AI through search engines tend to blend it with familiar tools. That difference suggests that the design and context of AI services strongly influence user behaviour.
Looking ahead, the findings hint at how AI could reshape digital commerce. Many consumers say they would prefer to connect digital wallets directly to AI platforms for payments, signalling a potential shift in how intent turns into transactions. As AI becomes a common entry point to the digital world, businesses and financial institutions face growing pressure to adapt their systems to this new starting line.
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Face-to-face interviews and oral verification could become a routine part of third-level assessments under new recommendations aimed at addressing the improper use of AI. Institutions are being encouraged to redesign assessment methods to ensure student work is authentic.
The proposals are set out in new guidelines published by the Higher Education Authority (HEA) of Ireland, which regulates universities and other third-level institutions. The report argues that assessment systems must evolve to reflect the growing use of generative AI in education.
While encouraging institutions to embrace AI’s potential, the report stresses the need to ensure students are demonstrating genuine learning. Academics have raised concerns that AI-generated assignments are increasingly difficult to distinguish from original student work.
To address this, the report recommends redesigning assessments to prioritise student authorship and human judgement. Suggested measures include oral verification, process-based learning, and, where appropriate, a renewed reliance on written exams conducted without technology.
The authors also caution against relying on AI detection tools, arguing that integrity processes should be based on dialogue and evidence. They call for clearer policies, staff and student training, and safeguards around data use and equitable access to AI tools.
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xAI is expanding its AI infrastructure in the southern United States after acquiring another data centre site near Memphis. The move significantly increases planned computing capacity and supports ambitions for large-scale AI training.
The expansion centres on the purchase of a third facility near Memphis, disclosed by Elon Musk in a post on X. The acquisition brings xAI’s total planned power capacity close to 2 gigawatts, placing the project among the most energy-intensive AI data centre developments currently underway.
xAI has bought a third building called MACROHARDRR. Will take @xAI training compute to almost 2GW.
xAI has already completed one major US facility in the area, known as Colossus, while a second site, Colossus 2, remains under construction. The newly acquired building, called MACROHARDRR, is located in Southaven and directly adjoins the Colossus 2 site, as previously reported.
By clustering facilities across neighbouring locations, xAI is creating a contiguous computing campus. The approach enables shared power, cooling, and high-speed data infrastructure for large-scale AI workloads.
The Memphis expansion underscores the rising computational demands of frontier AI models. By owning and controlling its infrastructure, xAI aims to secure long-term access to high-end compute as competition intensifies among firms investing heavily in AI data centres.
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Manus has returned to the spotlight after agreeing to be acquired by Meta in a deal reportedly worth more than $2 billion. The transaction is one of the most high-profile acquisitions of an Asian AI startup by a US technology company and reflects Meta’s push to expand agentic AI capabilities across its platforms.
The startup drew attention in March after unveiling an autonomous AI agent designed to execute tasks such as résumé screening and stock analysis. Founded in China, Manus later moved its headquarters to Singapore and was developed by the AI product studio Butterfly Effect.
Since launch, Manus has expanded its features to include design work, slide creation, and browser-based task completion. The company reported surpassing $100 million in annual recurring revenue and raised $75 million earlier this year at a valuation of about $500 million.
Meta said the acquisition would allow it to integrate the Singapore-based company’s technology into its wider AI strategy while keeping the product running as a standalone service. Manus said subscriptions would continue uninterrupted and that operations would remain based in Singapore.
The deal has drawn political scrutiny in the US due to Manus’s origins and past links to China. Meta said the transaction would sever remaining ties to China, as debate intensifies over investment, data security, and competition in advanced AI systems.
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SoftBank Group has completed a $41 billion investment in OpenAI, marking one of the largest private funding rounds on record. The deal gives the Japanese conglomerate an estimated 11 percent stake in the ChatGPT developer.
The investment reflects SoftBank chief executive Masayoshi Son’s renewed focus on AI and supporting infrastructure. The company is seeking to capitalise on rising demand for the computing capacity that underpins advanced AI models.
SoftBank said the latest funding includes an additional $22.5 billion investment, following an earlier $7.5 billion injection in April. OpenAI also secured a further $11 billion through an expanded syndicated co-investment from other backers.
The funding values OpenAI at roughly $300 billion on a post-money basis, though secondary market transactions later placed the company’s valuation closer to $500 billion. The investment follows SoftBank’s recent agreement to acquire DigitalBridge Group, a digital infrastructure investor.
OpenAI remains a central beneficiary of the global surge in AI spending. The company is also involved in Stargate, a large-scale data centre project backed by SoftBank and other partners to support next-generation AI systems.
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A new international study has shown that an AI model using deep transfer learning can predict spoken language outcomes for children following cochlear implants with 92% accuracy.
Researchers analysed pre-implantation brain MRI scans from 278 children across Hong Kong, Australia, and the US, covering English, Spanish, and Cantonese speakers.
Cochlear implants are the only effective treatment for severe hearing loss, though speech development after early implantation can vary widely. The AI model identifies children needing intensive therapy, enabling clinicians to tailor interventions before implantation.
The study demonstrated that deep learning outperformed traditional machine learning models, handling complex, heterogeneous datasets across multiple centres with different scanning protocols and outcome measures.
Researchers described the approach as a robust prognostic tool for cochlear implant programmes worldwide.
Experts highlighted that the AI-powered ‘predict-to-prescribe’ method could transform paediatric audiology by optimising therapy plans and improving spoken language development for children receiving cochlear implants.
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Illinois Secretary of State Alexi Giannoulias has warned residents to stay alert for fraudulent text messages claiming unpaid traffic violations or tolls. Officials say the messages are part of a phishing campaign targeting Illinois drivers.
The scam texts typically warn recipients that their vehicle registration or driving privileges are at risk of suspension. The messages urge immediate action via links that steal money or personal information.
The Secretary of State’s office said it sends text messages only to remind customers about scheduled DMV appointments. It does not communicate by text about licence status, vehicle registration issues, or enforcement actions.
Officials advised residents not to click on links or provide personal details in response to such messages. The texts are intended to create fear and pressure victims into acting quickly.
Residents who receive scam messages are encouraged to report them to the Federal Trade Commission through its online fraud reporting system.
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The booming influencer economy of Belgium is colliding with an advertising rulebook that many creators say belongs to another era.
Different obligations across federal, regional and local authorities mean that wording acceptable in one region may trigger a reprimand in another. Some influencers have even faced large fines for administrative breaches such as failing to publish business details on their profiles.
In response, the Influencer Marketing Alliance in Belgium has launched a certification scheme designed to help creators navigate the legal maze instead of risking unintentional violations.
Influencers complete an online course on advertising and consumer law and must pass a final exam before being listed in a public registry monitored by the Jury for Ethical Practices.
Major brands, including L’Oréal and Coca-Cola, already prefer to collaborate with certified creators to ensure compliance and credibility.
Not everyone is convinced.
Some Belgian influencers argue that certification adds more bureaucracy at a time when they already struggle to understand overlapping rules. Others see value as a structured reminder that content creators remain legally responsible for commercial communication shared with followers.
The alliance is also pushing lawmakers to involve influencers more closely when drafting future rules, including taxation and safeguards for child creators.
Consumer groups such as BEUC support clearer definitions and obligations under the forthcoming EU Digital Fairness Act, arguing that influencer advertising should follow the same standards as other media instead of remaining in a grey zone.
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