The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.
The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.
AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.
The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.
By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.
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OpenAI has launched GPT-4b micro, an AI model developed with longevity startup Retro Biosciences to accelerate protein engineering. Unlike chatbots, it focuses on biological sequences and 3D structures.
The model redesigned two Yamanaka factors- proteins that convert adult cells into stem cells, showing 50-fold higher efficiency in lab tests and improved DNA repair. Older cells acted more youthful, potentially shortening trial-and-error in regenerative medicine.
AI-designed proteins could speed up drug development and allow longevity startups to rejuvenate cells safely and consistently. The work also opens new possibilities in synthetic biology beyond natural evolution.
OpenAI emphasised that the research is still early and lab-based, with clinical applications requiring caution. Transparency is key, as the technology’s power to design potent proteins quickly raises biosecurity considerations.
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Residents of Tokyo have been shown a stark warning of what could happen if Mount Fuji erupts.
The metropolitan government released a three-minute AI-generated video depicting the capital buried in volcanic ash to raise awareness and urge preparation.
The simulation shows thick clouds of ash descending on Shibuya and other districts about one to two hours after an eruption, with up to 10 centimetres expected to accumulate. Unlike snow, volcanic ash does not melt away but instead hardens, damages powerlines, and disrupts communications once wet.
The video also highlights major risks to transport. Ash on train tracks, runways, and roads would halt trains, ground planes, and make driving perilous.
Two-wheel vehicles could become unusable under even modest ashfall. Power outages and shortages of food and supplies are expected as shops run empty, echoing the disruption seen after the 2011 earthquake.
Officials advise people to prepare masks, goggles, and at least three days of emergency food. The narrator warns that because no one knows when Mount Fuji might erupt, daily preparedness in Japan is vital to protect health, infrastructure, and communities.
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The discovery of hundreds of non-consensual deepfake images on a student’s laptop at the University of Hong Kong has reignited debate about privacy, technology, and accountability. The scandal echoes the 2008 Edison Chen photo leak, which exposed gaps in law and gender double standards.
Unlike stolen private images, today’s fabrications are AI-generated composites that can tarnish reputations with a single photo scraped from social media. The dismissal that such content is ‘not real’ fails to address the damage caused by its existence.
The legal system of Hong Kong struggles to keep pace with this shift. Its privacy ordinance, drafted in the 1990s, was not designed for machine-learning fabrications, while traditional harassment and defamation laws predate the advent of AI. Victims risk harm before distribution is even proven.
The city’s privacy watchdog has launched a criminal investigation, but questions remain over whether creation or possession of deepfakes is covered by existing statutes. Critics warn that overreach could suppress legitimate uses, yet inaction leaves space for abuse.
Observers argue that just as the snapshot camera spurred the development of modern privacy law, deepfakes must drive a new legal boundary to safeguard dignity. Without reform, victims may continue facing harm without recourse.
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A ransomware attack against dialysis provider DaVita has exposed the personal data of 2.7 million people, according to a notice on the US health department’s website.
The company first disclosed the cyber incident in April, saying it had taken steps to restore operations but could not predict the scale of disruption.
DaVita confirmed that hackers gained unauthorised access to its laboratory database, which contained sensitive information belonging to some current and former patients. The firm said it is now contacting those affected and offering free credit monitoring to help protect against identity theft.
Despite the intrusion, DaVita maintained uninterrupted dialysis services across its network of nearly 3,000 outpatient clinics and home treatment programmes. The company described the cyberattack as a temporary disruption but stressed that patient care was never compromised.
Financial disclosures show the incident led to around $13.5 million in charges during the second quarter of 2025. Most of the costs were linked to system restoration and third-party support, with $1 million attributed to higher patient care expenses.
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College students are increasingly turning to AI chatbots for emotional support, prompting concern among mental health professionals. A 2025 report ranked ‘therapy and companionship’ as the top use case for generative AI, particularly among younger users.
Studies by MIT and OpenAI show that frequent AI use can lower social confidence and increase avoidance of face-to-face interaction. On campuses, digital mental health platforms now supplement counselling services, offering tools that identify at-risk students and provide basic support.
Experts warn that chatbot companionship may create emotional habits that lack grounding in reality and hinder social skill development. Counsellors advocate for educating students on safe AI use and suggest universities adopt tools that flag risky engagement patterns.
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OpenAI’s rollout of GPT-5 has faced criticism from users attached to older models, who say the new version lacks the character of its predecessors.
GPT-5 was designed as an all-in-one model, featuring a lightweight version for rapid responses and a reasoning version for complex tasks. A routing system determines which option to use, although users can manually select from several alternatives.
Modes include Auto, Fast, Thinking, Thinking mini, and Pro, with the last available to Pro subscribers for $200 monthly. Standard paid users can still access GPT-4o, GPT-4.1, 4o-mini, and even 3o through additional settings.
Chief executive Sam Altman has said the long-term goal is to give users more control over ChatGPT’s personality, making customisation a solution to concerns about style. He promised ample notice before permanently retiring older models.
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Google has announced that Gemini will soon power its smart home platform, replacing Google Assistant on existing Nest speakers and displays from October. The feature will launch initially as an early preview.
Gemini for Home promises more natural conversations and can manage complex household tasks, including controlling smart devices, creating calendars, and handling lists or timers through natural language commands. It will also support Gemini Live for ongoing dialogue.
Google says the upgrade is designed to serve all household members and visitors, offering hands-free help and integration with streaming platforms. The move signals a renewed focus on Google Home, a product line that has been largely overlooked in recent years.
The announcement hints at potential new hardware, given that Google’s last Nest Hub was released in 2021 and the Nest Audio speaker dates back to 2020.
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Meta has frozen hiring in its AI division, halting a spree that had drawn top researchers with lucrative offers. The company described the pause as basic organisational planning, aimed at building a more stable structure for its superintelligence ambitions.
The freeze, first reported by the Wall Street Journal, began last week and prevents employees in the unit from transferring to other teams. Its duration has not been communicated, and Meta declined to comment on the number of hires already made.
The decision follows growing tensions inside the newly created Superintelligence Labs, where long-serving researchers have voiced concerns over disparities in pay and recognition compared with recruits.
Alexandr Wang, who leads the division, recently told staff that superintelligence is approaching and that significant changes are necessary to prepare. His email outlined Meta’s most significant reorganisation of its AI efforts.
The pause also comes amid investor scrutiny, as analysts warn that heavy reliance on stock-based compensation to attract talent could fuel innovation or dilute shareholder value without precise results.
Despite these concerns, Meta’s stock has risen by about 28% since the start of the year, reflecting continued investor confidence in the company’s long-term prospects.
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Private conversations with xAI’s chatbot Grok have been exposed online, raising serious concerns over user privacy and AI safety. Forbes found that Grok’s ‘share’ button created public URLs, later indexed by Google and other search engines.
The leaked content is troubling, ranging from questions on hacking crypto wallets to instructions on drug production and even violent plots. Although xAI bans harmful use, some users still received dangerous responses, which are now publicly accessible online.
The exposure occurred because search engines automatically indexed the shareable links, a flaw echoing previous issues with other AI platforms, including OpenAI’s ChatGPT. Designed for convenience, the feature exposed sensitive chats, damaging trust in xAI’s privacy promises.
The incident pressures AI developers to integrate stronger privacy safeguards, such as blocking the indexing of shared content and enforcing privacy-by-design principles. Users may hesitate to use chatbots without fixes, fearing their data could reappear online.
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