The East Asian country is preparing to enforce a nationwide ban on mobile phone use in classrooms, yet schools remain divided over how strictly the new rules should be applied.
A ban that takes effect in March under the revised education law, and officials have already released guidance enabling principals to warn students and restrict smart devices during lessons.
These reforms will allow devices only for limited educational purposes, emergencies or support for pupils with disabilities.
Schools may also collect and store phones under their own rules, giving administrators the authority to prohibit possession rather than merely restricting use. The ministry has ordered every principal to establish formal regulations by late August, leaving interim decisions to each school leader.
Educators in South Korea warn that inconsistent approaches are creating uncertainty. Some schools intend to collect phones in bulk, others will require students to keep devices switched off, while several remain unsure how far to go in tightening their policies.
The Korean Federation of Teachers’ Associations argues that such differences will trigger complaints from parents and pupils unless the ministry provides a unified national standard.
Surveys show wide variation in current practice, with some schools banning possession during lessons while others allow use during breaks.
Many teachers say their institutions are ready for stricter rules, yet a substantial minority report inadequate preparation. The debate highlights the difficulty of imposing uniform digital discipline across a diverse education system.
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CryptoQuant data shows Bitcoin mining profitability has fallen to its weakest level in 14 months, as declining prices and rising operational pressure weigh on the sector. The miner profit and loss sustainability index dropped to 21, its lowest reading since November 2024.
Lower Bitcoin prices and elevated mining difficulty have left operators ‘extremely underpaid’, according to the report. Network hash rate has also declined across five consecutive epochs, reaching its lowest level since September 2025 and signalling reduced computing power securing the network.
Severe winter weather across parts of the eastern United States added further strain, disrupting mining activity and pushing daily revenues down to around $28 million, a yearly low. Weaker risk appetite across equities and digital assets has compounded the impact.
Shares in listed miners such as MARA Holdings, CleanSpark, and Riot Holdings have fallen by double-digit percentages over the past week. Data from the Cambridge Bitcoin Electricity Consumption Index shows mining BTC now costs more than buying it on the open market, increasing pressure on weaker operators.
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Google has unveiled AlphaGenome, a new AI research tool designed to analyse the human genome and uncover the genetic roots of disease. The announcement was made in Paris, where researchers described the model as a major step forward.
AlphaGenome focuses on non-coding DNA, which makes up most of the human genome and plays a key role in regulating genes. Google scientists in Paris said the system can analyse extremely long DNA sequences at high resolution.
The model was developed by Google DeepMind using public genomic datasets from humans and mice. Researchers in Paris said the tool predicts how genetic changes influence biological processes inside cells.
Independent experts in the UK welcomed the advance but urged caution. Scientists at University of Cambridge and the Francis Crick Institute noted that environmental factors still limit what AI models can explain.
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French streaming platform Deezer has opened access to its AI music detection tool for rival services, including Spotify. The move follows mounting concern in France and across the industry over the rapid rise of synthetic music uploads.
Deezer said around 60,000 AI-generated tracks are uploaded daily, with 13.4 million detected in 2025. In France, the company has already demonetised 85% of AI-generated streams to redirect royalties to human artists.
The tool automatically tags fully AI-generated tracks, removes them from recommendations and flags fraudulent streaming activity. Spotify, which also operates widely in France, has introduced its own measures but relies more heavily on creator disclosure.
Challenges remain for Deezer in France and beyond, as the system struggles to identify hybrid tracks mixing human and AI elements. Industry pressure continues to grow for shared standards that balance innovation, transparency and fair payment.
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European technology leaders are increasingly questioning the long-held assumption that information technology operates outside politics, amid growing concerns about reliance on US cloud providers and digital infrastructure.
At HiPEAC 2026, Nextcloud chief executive Frank Karlitschek argued that software has become an instrument of power, warning that Europe’s dependence on American technology firms exposes organisations to legal uncertainty, rising costs, and geopolitical pressure.
He highlighted conflicts between EU privacy rules and US surveillance laws, predicting continued instability around cross-border data transfers and renewed risks of services becoming legally restricted.
Beyond regulation, Karlitschek pointed to monopoly power among major cloud providers, linking recent price increases to limited competition and warning that vendor lock-in strategies make switching increasingly difficult for European organisations.
He presented open-source and locally controlled cloud systems as a path toward digital sovereignty, urging stronger enforcement of EU competition rules alongside investment in decentralised, federated technology models.
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ID Campus has opened in the French city of Angers as a new European hub dedicated to identity technologies and trust-based digital services. Led by sovereign provider iDAKTO, the initiative aims to bring together public institutions, startups, and researchers to advance secure online systems.
The campus will support innovation, training, pilot projects, and cross-sector collaboration. A key focus is the rollout of the European Digital Identity Wallet. Deeptech firms, research labs, and international delegations are expected to use the site for testing and cooperation.
The project’s development involved partnerships with public bodies in France, including France Titres, La Mission French Tech, and Angers Loire Metropole, reflecting a wider push to strengthen national and European authentication infrastructure.
The official launch brought together leaders from government and industry to discuss the rise in digital adoption and tightening regulatory frameworks across Europe, as secure digital identity systems become central to public services and cross-border transactions.
European digital sovereignty remains a core driver of the initiative, with policymakers seeking interoperable trust frameworks that reduce reliance on non-European technologies.
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OpenAI has begun testing advertising placements inside ChatGPT, marking a shift toward monetising one of the world’s most widely used AI platforms. Sponsored content now appears below chatbot responses for free and low-cost users, integrating promotions directly into conversational queries.
Ads remain separate from organic answers, with OpenAI saying commercial content will not influence AI-generated responses. Users can see why specific ads appear, dismiss irrelevant placements, and disable personalisation. Advertising is excluded for younger users and sensitive topics.
Initial access is limited to enterprise partners, with broader availability expected later. Premium subscription tiers continue without ads, reflecting a freemium model similar to streaming platforms offering both paid and ad-supported options.
Pricing places ChatGPT ads among the most expensive digital formats. The value lies in reaching users at high-intent moments, such as during product research and purchase decisions. Measurement tools remain basic, tracking only impressions and clicks.
OpenAI’s move into advertising signals a broader shift as conversational AI reshapes how people discover information. Future performance data and targeting features will determine whether ChatGPT becomes a core ad channel or a premium niche format.
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Google has launched Project Genie, an experimental prototype that allows users to create and explore interactive AI-generated worlds. The web application, powered by Genie 3, Nano Banana Pro, and Gemini, is rolling out to Google AI Ultra subscribers in the US aged 18 and over.
Genie 3 represents a world model that simulates environmental dynamics and predicts how actions affect them in real time. Unlike static 3D snapshots, the technology generates paths in real time as users move and interact, simulating physics for dynamic environments.
Project Genie centres on three core capabilities: world sketching, exploration, and remixing. Users can prompt with text and images to create environments, define character perspectives, and preview worlds before entering.
As users navigate, the system generates paths in real time based on their actions.
The experimental prototype has known limitations, including generation restrictions to 60 seconds, potential deviations from prompts or real-world physics, and occasional character controllability issues.
Google emphasises responsible development as part of its mission to build AI that benefits humanity, with ongoing improvements planned based on user feedback.
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The European Commission has opened a formal investigation into Grok after the tool produced millions of sexualised images of women and children.
A scrutiny that centres on whether X failed to carry out adequate risk assessments before releasing the undressing feature in the European market. The case arrives as ministers, including Sweden’s deputy prime minister, publicly reveal being targeted by the technology.
Brussels is preparing to use its strongest digital laws instead of deferring to US pressure. The Digital Services Act allows the European Commission to fine major platforms or force compliance measures when systemic harms emerge.
Experts argue the Grok investigation represents an important test of European resolve, particularly as the bloc tries to show it can hold powerful companies to account.
Concerns remain about the willingness of the EU to act decisively. Reports suggest the opening of the probe was delayed because of a tariff dispute with Washington, raising questions about whether geopolitical considerations slowed the enforcement response.
Several lawmakers say the delay undermined confidence in the bloc’s commitment to protecting fundamental rights.
The investigation could last months and may have wider implications for content ranking systems already under scrutiny.
Critics say financial penalties may not be enough to change behaviour at X, yet the case is still viewed as a pivotal moment for European digital governance. Observers believe a firm outcome would demonstrate that emerging harms linked to synthetic media cannot be ignored.
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Researchers at the University of Chicago are using AI to uncover insights into how the human brain processes surprise. The project, directed by Associate Professor Monica Rosenberg, compares human and AI responses to narrative moments to explore cognitive processes.
The study involved participants listening to stories whilst researchers recorded their responses through brain scans. Researchers then fed identical stories to the language model Llama, prompting it to predict subsequent text after each segment.
When AI predictions diverged from actual story content, that gap served as a measure of surprise, mirroring the discrepancy human readers experience when expectations fail.
Results showed a striking alignment between AI prediction errors and both participants’ reported feelings and brain-scan activity patterns. The correlation emerged when texts were analysed in 10 to 20-word chunks, suggesting humans and AI encode surprise at broader levels where ideas unfold.
Fourth-year data science student Bella Summe, involved in the Cognition, Attention and Brain Lab research, noted the creative challenge of working in an emerging field.
Few studies have explored whether LLM prediction errors could serve as measures of human surprise, requiring constant problem-solving and experimental design adaptation throughout the project.
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