Authorities in New York State have approved a new law requiring social media platforms to display warning labels when users engage with features that encourage prolonged use.
Labels will appear when people interact with elements such as infinite scrolling, auto-play, like counters or algorithm-driven feeds. The rule applies whenever these services are accessed from within New York.
Governor Kathy Hochul said the move is intended to safeguard young people against potential mental health harms linked to excessive social media use. Warnings will show the first time a user activates one of the targeted features and will then reappear at intervals.
Concerns about the impact on children and teenagers have prompted wider government action. California is considering similar steps, while Australia has already banned social media for under-16s and Denmark plans to follow. The US surgeon general has also called for clearer health warnings.
Researchers continue to examine how social media use relates to anxiety and depression among young users. Platforms now face growing pressure to balance engagement features with stronger protections instead of relying purely on self-regulation.
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China’s Tsinghua University has emerged as a central hub in the country’s push to become a global leader in AI. The campus hosts a high level of research activity, with students and faculty working across disciplines related to AI development.
Momentum has been boosted by the success of DeepSeek, an AI startup founded by alums of Tsinghua University. The company reinforced confidence that Chinese teams can compete with leading international laboratories.
The university’s rise is closely aligned with Beijing’s national technology strategy. Government backing has included subsidies, tax incentives, and policy support, as well as public endorsements of AI entrepreneurs affiliated with Tsinghua.
Patent and publication data highlight the scale of output. Tsinghua has filed thousands of AI-related patents and ranks among the world’s most cited institutions in AI research, reflecting China’s rapidly expanding share of global AI innovation.
Despite this growth, the United States continues to lead in influential patents and top-performing models. Analysts note, however, that a narrowing gap is expected, as China produces a growing share of elite AI researchers and expands AI education from schools to advanced research.
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India faces a lower risk of AI-driven disruption to white-collar jobs than Western economies, IT Secretary S Krishnan said. A smaller share of cognitive roles and strong STEM employment reduce near-term impact.
Rather than replacing workers, artificial intelligence is expected to create jobs through sector-specific applications. Development and deployment of these systems will require many trained professionals.
Human oversight will remain essential as issues such as AI hallucinations limit full automation of cognitive tasks. Productivity gains are expected to support, rather than eliminate, knowledge-based work.
India is positioning itself as a global contributor to applied artificial intelligence solutions. Indigenous AI models under development are expected to support jobs, innovation and long-term economic growth.
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Groq has signed a non-exclusive licensing agreement with Nvidia to share its inference technology, aiming to make high-performance, cost-efficient AI processing more widely accessible.
Groq’s founder, Jonathan Ross, president Sunny Madra, and other team members will join Nvidia to help develop and scale the licensed technology. Despite the collaboration, Groq will remain an independent company, with Simon Edwards taking over as Chief Executive Officer.
Operations of GroqCloud will continue without interruption, ensuring ongoing services for existing customers. The agreement highlights a growing trend of partnerships in the AI sector, combining innovation with broader access to advanced processing capabilities.
The partnership could speed up AI inference adoption, offering companies more scalable and cost-effective options for deploying AI workloads. Analysts suggest such collaborations are likely to drive competition and innovation in the rapidly evolving AI hardware and software market.
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The US State Department has imposed a visa ban on former EU Commissioner Thierry Breton and four other individuals, citing opposition to European regulation of social media platforms. The US visa ban reflects growing tensions between Washington and Brussels over digital governance and free expression.
US officials said the visa ban targets figures linked to organisations involved in content moderation and disinformation research. Those named include representatives from HateAid, the Center for Countering Digital Hate, and the Global Disinformation Index, alongside Breton.
Secretary of State Marco Rubio accused the individuals of pressuring US-based platforms to restrict certain viewpoints. A senior State Department official described Breton as a central figure behind the EU’s Digital Services Act, a law that sets obligations for large online platforms operating in Europe.
Breton rejected the US visa ban, calling it a witch hunt and denying allegations of censorship. European organisations affected by the decision criticised the move as unlawful and authoritarian, while the European Commission said it had sought clarification from US authorities.
France and the European Commission condemned the visa ban and warned of a possible response. EU officials said European digital rules are applied uniformly and are intended to support a safe, competitive online environment.
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A significant debate has erupted in South Korea after the National Assembly passed new legislation aimed at tackling so-called fake news.
The revised Information and Communications Network Act bans the circulation of false or fabricated information online. It allows courts to impose punitive damages up to five times the losses suffered when media outlets or YouTubers intentionally spread disinformation for unjust profit.
Journalists, unions and academics warn that the law could undermine freedom of expression and weaken journalism’s watchdog function instead of strengthening public trust.
Critics argue that ambiguity over who decides what constitutes fake news could shift judgement away from the courts and toward regulators or platforms, encouraging self-censorship and increasing the risk of abusive lawsuits by influential figures.
Experts also highlight the lack of strong safeguards in South Korea against malicious litigation compared with the US, where plaintiffs must prove fault by journalists.
The controversy reflects more profound public scepticism about South Korean media and long-standing reporting practices that sometimes rely on relaying statements without sufficient verification, suggesting that structural reform may be needed instead of rapid, punitive legislation.
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Amid growing attention on AI, Google DeepMind chief Demis Hassabis has argued that future systems could learn anything humans can.
He suggested that as technology advances, AI may no longer remain confined to single tasks. Instead of specialising narrowly, it could solve different kinds of problems and continue improving over time.
Supporters say rapid progress already shows how powerful the technology has become.
Other experts disagree and warn that human intelligence remains deeply complex. People rely on emotions, personal experience and social understanding when they think, while machines depend on data and rules.
Critics argue that comparing AI with the human mind oversimplifies how intelligence really works, and that even people vary widely in ability.
Elon Musk has supported the idea that AI could eventually learn as much as humans, while repeating his long-standing view that powerful systems must be handled carefully. His backing has intensified the debate, given his influence in the technology world.
The discussion matters because highly capable AI could reshape work, education and creativity, raising questions over safety and control.
For now, AI performs specific tasks extremely well yet cannot think or feel like humans, and no one can say for certain whether true human-level intelligence will ever emerge.
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Prime Minister Kim Min-seok has called for punitive fines of up to 10 percent of company sales for repeated and serious data breaches, as public anger grows over large-scale leaks.
The government is seeking swift legislation to impose stronger sanctions on firms that fail to safeguard personal data, reflecting President Lee Jae Myung’s stance that violations require firm penalties instead of lenient warnings.
Kim said corporate responses to recent breaches had fallen far short of public expectations and stressed that companies must take full responsibility for protecting customer information.
Under the proposed framework, affected individuals would receive clearer notifications that include guidance on their rights to seek damages.
The government of South Korea also plans to strengthen investigative powers through coercive fines for noncompliance, while pursuing rapid reforms aimed at preventing further harm.
The tougher line follows a series of major incidents, including a leak at Shinhan Card that affected around 190,000 merchant records and a large-scale breach at Coupang that exposed the data of 33.7 million users.
Officials have described the Coupang breach as a serious social crisis that has eroded public trust.
Authorities have launched an interagency task force to identify responsibility and ensure tighter data protection across South Korea’s digital economy instead of relying on voluntary company action.
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An EU-funded project, AIOLIA, is examining how Europe’s approach to trustworthy AI can be applied in practice. Principles such as transparency and accountability are embedded in the AI Act’s binding rules. Turning those principles into design choices remains difficult.
The project focuses on closing that gap by analysing how AI ethics is applied in real systems. Its work supports the implementation of AI Act requirements beyond legal text. Lessons are translated into practical training.
Project coordinator Alexei Grinbaum argues that ethical principles vary widely by context. Engineers are expected to follow them, but implications differ across systems. Bridging the gap requires concrete examples.
AIOLIA analyses ten use cases across multiple domains involving professionals and citizens. The project examines how organisations operationalise ethics under regulatory and organisational constraints. Findings highlight transferable practices without a single model.
Training is central to the initiative, particularly for EU ethics evaluators and researchers working under the AI Act framework. As AI becomes more persuasive, risks around manipulation grow. AIOLIA aims to align ethical language with daily decisions.
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Florida lawmakers are preparing a sweeping AI Bill of Rights as political debates intensify. Senator Tom Leek introduced a proposal to provide residents with clearer safeguards while regulating how firms utilise advanced systems across the state.
The plan outlines parental control over minors’ interactions with AI and requires disclosure when people engage with automated systems. It also sets boundaries on political advertising created with AI and restricts state contracts with suppliers linked to countries of concern.
Governor Ron DeSantis maintains Florida can advance its agenda despite federal attempts to curb state-level AI rules. He argues the state has the authority to defend consumers while managing the rising costs of new data centre developments.
Democratic lawmakers have raised concerns about young users forming harmful online bonds with AI companions, prompting calls for stronger protections. The legislation now forms part of a broader clash over online safety, privacy rights and fast-growing AI industries.
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