Germany’s coalition government is weighing new restrictions on children’s access to social media as both governing parties draft proposals to tighten online safeguards. The debate comes amid broader economic pressures, with industry reporting significant job losses last year.
The conservative bloc and the centre-left Social Democrats are examining measures that could curb or block social media access for minors. Proposals under discussion include age-based restrictions and stronger platform accountability.
The Social Democrats in Germany have proposed banning access for children under 14 and introducing dedicated youth versions of platforms for users aged 14 to 16. Supporters argue that clearer age thresholds could reduce exposure to harmful content and addictive design features.
The discussions align with a growing European trend toward stricter digital child protection rules. Several governments are exploring tougher age verification and content moderation standards, reflecting mounting concerns over online safety and mental health.
The policy debate unfolded as German industry reported cutting 124,100 jobs in 2025 amid ongoing economic headwinds. Lawmakers face the dual challenge of safeguarding younger users while navigating wider structural pressures affecting Europe’s largest economy.
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Ericsson and Microsoft have integrated advanced 5G into Windows 11 to simplify secure enterprise laptop connectivity. The update embeds AI-driven 5G management, enabling IT teams to automate connections and enforce policy-based controls at scale.
The solution combines Microsoft Intune with Ericsson Enterprise 5G Connect, a cloud-based platform that monitors network quality and optimises performance. Enterprises can switch service providers and automatically apply internal connectivity policies.
IT departments can remotely provision eSIMs, prioritise 5G networks, and enforce secure profiles across laptop fleets. Automation reduces manual configuration and ensures consistent compliance across locations and service providers.
The companies say the integration addresses long-standing barriers to adopting cellular-connected PCs, including complexity and fragmented management. Multi-market pilots have preceded commercial availability in the United States, Sweden, Singapore, and Japan.
Additional launches are planned in 2026 across Spain, Germany, and Finland. Executives from both firms describe the collaboration as a step toward AI-ready enterprise devices with secure, always-on connectivity.
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Google published its latest Responsible AI Progress Report, showing how AI Principles guide research, product development, and business decisions. Rising model capabilities and adoption have moved the focus from experimentation to real-world industry integration.
Governance and risk management form a central theme of the report, with Google describing a multilayered oversight structure spanning the entire AI lifecycle.
Advanced testing methods, including automated adversarial evaluations and expert review, are used to identify and mitigate potential harms as systems become more personalised and multimodal.
Broader access and societal impact remain key priorities. AI tools are increasingly used in science, healthcare, and environmental forecasting, highlighting their growing role in tackling global challenges.
Collaboration with governments, academia, and civil society is presented as essential for maintaining trust and setting industry standards. Sharing research and tools continues to support responsible AI innovation and broaden its benefits.
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The European Commission has opened formal proceedings against Shein under the Digital Services Act over addictive design and illegal product risks. The move follows preliminary reviews of company reports and responses to information requests. Officials said the decision does not prejudge the outcome.
Investigators will review safeguards to prevent illegal products being sold in the European Union, including items that could amount to child sexual abuse material, such as child-like sex dolls. Authorities will also assess how the platform detects and removes unlawful goods offered by third-party sellers.
The Commission will examine risks linked to platform design, including engagement-based rewards that may encourage excessive use. Officials will assess whether adequate measures are in place to limit potential harm to users’ well-being and ensure effective consumer protection online.
Transparency obligations under the DSA are another focal point. Platforms must clearly disclose the main parameters of their recommender systems and provide at least one easily accessible option that is not based on profiling. The Commission will assess whether Shein meets these requirements.
Coimisiún na Meán, the Digital Services Coordinator of Ireland, will assist the investigation as Ireland is Shein’s EU base. The Commission may seek more information or adopt interim measures if needed. Proceedings run alongside consumer protection action and product safety enforcement.
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Meta announced a multiyear partnership with NVIDIA to build large-scale AI infrastructure across on-premises and cloud systems. Plans include hyperscale data centres designed for both training and inference workloads, forming a core part of the company’s long-term AI roadmap.
Deployment will include millions of Blackwell and Rubin GPUs, plus expanded use of NVIDIA CPUs and Spectrum-X networking. According to Mark Zuckerberg, the collaboration is intended to support advanced AI systems and broaden access to high-performance computing capabilities worldwide.
Jensen Huang highlighted the scale of Meta’s AI operations and the role of deep hardware-software integration in improving performance.
Efficiency gains remain a central objective, with Meta increasing the rollout of Arm-based NVIDIA Grace CPUs to improve performance per watt in data centres. Future Vera CPU deployment is being considered to expand energy-efficient computing later in the decade.
Privacy-focused AI development forms another pillar of the partnership. NVIDIA Confidential Computing will first power secure AI features on WhatsApp, with plans to expand across more services as Meta scales AI to billions of users.
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Ericsson and Mastercard will integrate Mastercard Move into the Ericsson Fintech Platform to expand digital wallets and cross-border transfers. The partnership targets telecom operators, banks, and fintechs seeking to launch new payment services and reach underserved communities.
By combining Ericsson’s cloud-native fintech infrastructure with Mastercard Move’s money transfer network, the companies aim to simplify integration, deployment, and compliance. The integration is designed to reduce operational complexity and accelerate time-to-market for digital payment services.
Mastercard Move supports transfers in over 200 countries and territories and enables transactions in 150 currencies. Ericsson’s fintech platform operates in 22 countries, serving more than 120 million users and processing over 4 billion transactions per month.
The companies said the collaboration is intended to create new revenue streams and strengthen digital ecosystems in both emerging and developed markets. A global rollout will begin in the Middle East and Africa, where demand for mobile money and interoperable payment systems continues to grow.
Executives said the partnership will support faster, more secure cross-border transfers and promote financial inclusion. The integration aims to help telecom providers and financial institutions scale digital payment services and expand access to the digital economy.
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India’s IT sector could reach $400 billion by 2030, Prime Minister Narendra Modi said in an interview with ANI, highlighting AI as a key growth driver. Services exports remain central to India’s economic expansion, with AI expected to reshape outsourcing and domain-specific automation.
Modi argued that AI is not replacing the IT industry but transforming it. General-purpose AI tools are becoming widespread, while enterprise-grade adoption remains concentrated in specific sectors where established IT firms continue solving complex business challenges.
Government policy is anchored in the IndiaAI Mission, which aims to expand access to computing infrastructure and strengthen domestic innovation. Modi said GPU targets have already been exceeded, with further investment planned to ensure affordable access for startups and enterprises.
Four Centres of Excellence have been established in healthcare, agriculture, education and sustainable cities, alongside five National Centres of Excellence for Skilling. Authorities aim to equip the workforce with industry-relevant AI expertise to support long-term competitiveness.
Strategic ambition extends beyond service delivery toward building AI products and platforms for domestic and global markets. Policymakers in India position AI as a catalyst for higher productivity, stronger digital infrastructure, and broader economic resilience.
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Mistral AI has strengthened its position in Europe’s AI sector through the acquisition of Koyeb. The deal forms part of its strategy to build end-to-end capacity for deploying advanced AI systems across European infrastructure.
The company has been expanding beyond model development into large-scale computing. It is currently building new data centre facilities, including a primary site in France and a €1.2 billion facility in Sweden, both aimed at supporting high-performance AI workloads.
The acquisition follows a period of rapid growth for Mistral AI, which reached a valuation of €11.7 billion after investment from ASML. French public support has also played a role in accelerating its commercial and research progress.
Mistral AI now positions itself as a potential European technology champion, seeking to combine model development, compute infrastructure and deployment tools into a fully integrated AI ecosystem.
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Major updates to AI tooling are reshaping website creation as WordPress.com brings an integrated assistant directly into its editor.
The new system works within each site rather than relying on external chat windows, allowing users to adjust layouts, create content, and modify designs in real time. The tool is available to customers on Business and Commerce plans, although activation requires a manual opt-in.
The assistant appears across several core areas of the platform. Inside the editor, it can refine writing, modify styles, translate text and generate new sections with simple instructions.
In the Media Library, you can create new images or apply targeted edits through the platform’s in-house Nano Banana models, eliminating the need for separate subscriptions. Block notes provide an additional way to request suggestions, checks, or link-based context directly within each page.
The updates aim to make site building faster and more efficient by keeping all AI interactions within the existing workflow. Users who prefer a manual experience can ignore the feature entirely, since the assistant remains inactive unless deliberately enabled.
WordPress.com also notes that the system works best with block themes, although image tools are still available for classic themes.
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The cost of running AI systems is shifting towards memory rather than compute, as the price of DRAM has risen sharply over the past year. Efficient memory orchestration is now becoming a critical factor in keeping inference costs under control, particularly for large-scale deployments.
Analysts such as Doug O’Laughlin and Val Bercovici of Weka note that prompt caching is turning into a complex field.
Anthropic has expanded its caching guidance for Claude, with detailed tiers that determine how long data remains hot and how much can be saved through careful planning. The structure enables significant efficiency gains, though each additional token can displace previously cached content.
The growing complexity reflects a broader shift in AI architecture. Memory is being treated as a valuable and scarce resource, with optimisation required at multiple layers of the stack.
Startups such as Tensormesh are already working on cache optimisation tools, while hyperscalers are examining how best to balance DRAM and high-bandwidth memory across their data centres.
Better orchestration should reduce the number of tokens required for queries, and models are becoming more efficient at processing those tokens. As costs fall, applications that are currently uneconomical may become commercially viable.
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