Britain plans to banAI-nudification apps that digitally remove clothing from images. Creating or supplying these tools would become illegal under new proposals.
The offence would build on existing UK laws covering non-consensual sexual deepfakes and intimate image abuse. Technology Secretary Liz Kendall said developers and distributors would face harsh penalties.
Experts warn that nudification apps cause serious harm, mainly when used to create child sexual abuse material. Children’s Commissioner Dame Rachel de Souza has called for a total ban on the technology.
Child protection charities welcomed the move but want more decisive action from tech firms. The government said it would work with companies to stop children from creating or sharing nude images.
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Apple has announced changes to how iOS apps are distributed and monetised in Japan, bringing its platform into compliance with the country’s Mobile Software Competition Act. The updates introduce new options for alternative app marketplaces and payment methods for digital goods.
Under the revised framework, developers in Japan can distribute apps outside the App Store and offer alternative payment processing alongside the In-App Purchase. Apple said the changes aim to meet legal requirements while limiting new risks linked to fraud, malware, and data misuse.
Safeguards include app notarisation, authorisation rules for alternative marketplaces, and baseline security checks for all iOS apps. The measures are aimed at protecting users, including children, even as apps outside the App Store receive fewer protections.
Safeguards include app notarisation, authorisation rules for alternative marketplaces, and baseline security checks for all iOS apps. Apple said the measures aim to protect users, including children, even as apps outside the App Store receive fewer protections.
Additional controls are being rolled out with iOS 26.2, including browser and search engine choice screens, new default app settings, and expanded developer APIs. Apple said it will continue engaging with Japanese regulators as the new framework takes effect.
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Russia has reported a sharp decline in cyber fraud following the introduction of new regulatory measures in 2025. Officials say legislative action targeting telephone and online scams has begun to deliver measurable results.
State Secretary and Deputy Minister of Digital Development Ivan Lebedev told the State Duma that crimes covered by the first package of reforms, known as ‘Cyberbez 1.0’, have fallen by 40%, according to confirmed statistics.
Earlier this year, Lebedev said Russia records roughly 677,000 cases of phone and online fraud annually, with incidents rising by more than 35% since 2022, highlighting the scale of the challenge faced by authorities.
In April, President Vladimir Putin signed a law introducing a range of countermeasures, including a state information system to combat fraud, limits on unsolicited marketing calls, stricter SIM card issuance rules, and new compliance obligations for banks.
Further steps are now under discussion. Officials say a second package is being prepared, while a third set of initiatives was announced in December as Russia continues to strengthen its digital security framework.
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For the first time, the UK has published a detailed, evidence-based assessment of frontier AI capabilities. The Frontier AI Trends Report draws on two years of structured testing across areas including cybersecurity, software engineering, chemistry, and biology.
The findings show rapid progress in technical performance. Success rates on apprentice-level cyber tasks rose from under 9% in 2023 to around 50% in 2025, while models also completed expert-level cyber challenges previously requiring a decade of experience.
Safeguards designed to limit misuse are also improving, according to the report. Red-team testing found that the time required to identify universal jailbreaks increased from minutes to several hours between model generations, representing an estimated forty-fold improvement in resistance.
The analysis highlights advances beyond cybersecurity. AI systems now complete hour-long software engineering tasks more than 40% of the time, while biology and chemistry models outperform PhD-level researchers in controlled knowledge tests and support non-experts in laboratory-style workflows.
While the report avoids policy recommendations, UK officials say it strengthens transparency around advanced AI systems. The government plans to continue investing in evaluation science through the AI Security Institute, supporting independent testing and international collaboration.
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Micron Technology reported record first-quarter revenue for fiscal 2026, supported by strong pricing, a favourable product mix and operating leverage. The company said tight supply conditions and robust AI-related demand are expected to continue into 2026.
The Boise-based chipmaker generated $13.64 billion in quarterly revenue, led by record sales across DRAM, NAND, high-bandwidth memory and data centres. Chief executive Sanjay Mehrotra said structural shifts are driving rising demand for advanced memory in AI workloads.
Margins expanded sharply, setting Micron apart from peers such as Broadcom and Oracle, which reported margin pressure in recent earnings. Chief financial officer Mark Murphy said gross margin is expected to rise further in the second quarter, supported by higher prices, lower costs and a favourable revenue mix.
Analysts highlighted improving fundamentals and longer-term visibility. Baird said DRAM and NAND pricing could rise sequentially as Micron finalises long-term supply agreements, while capital expenditure plans for fiscal 2026 were viewed as manageable and focused on expanding high-margin HBM capacity.
Retail sentiment also turned strongly positive following the earnings release, with Micron shares jumping around 8 per cent in after-hours trading. The stock is on track to finish the year as the best-performing semiconductor company in the S&P 500, reinforcing confidence in its AI-driven growth trajectory.
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MIT researchers have developed a speech-to-reality system that allows users to create physical objects by describing them aloud, combining generative AI with robotic assembly. The system can produce simple furniture and decorative items in minutes using modular components.
The workflow translates spoken instructions into a digital design using a large language model and 3D generative AI. The design is then broken into voxel-based parts and adapted to real-world fabrication constraints before being assembled by a robotic arm.
Researchers have demonstrated the system by producing stools, shelves, chairs, tables and small sculptures. The approach aims to reduce manufacturing complexity by enabling rapid construction without specialised knowledge of 3D modelling or robotics.
Unlike traditional fabrication methods such as 3D printing, which can take hours or days, the modular assembly process operates quickly and allows objects to be disassembled and reused. The team is exploring stronger connection methods and extensions to larger-scale robotic systems.
The research was presented at the ACM Symposium on Computational Fabrication in November. The team said the work points toward more accessible, flexible and sustainable ways to produce physical objects using natural language and AI-driven design.
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Amazon is reportedly considering a $10 billion investment in OpenAI, highlighting its growing focus on the generative AI market. The investment follows OpenAI’s October restructuring, giving it more flexibility to raise funds and form new tech partnerships.
OpenAI has recently secured major infrastructure agreements, including a $38 billion cloud computing deal with Amazon Web Services (AWS). Deals with Nvidia, AMD, and Broadcom boost OpenAI’s access to computing power for its AI development.
Amazon has invested $8 billion in Anthropic and continues developing AI hardware through AWS’s Inferentia and Trainium chips. The move into OpenAI reflects Amazon’s strategy to expand its influence across the AI sector.
OpenAI’s prior $13 billion Microsoft exclusivity has ended, enabling it to pursue new partnerships. The combination of fresh funding, cloud capacity, and hardware support positions OpenAI for continued growth in the AI industry.
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Cybersecurity researchers have uncovered a rapidly expanding Android botnet known as Kimwolf, which has already compromised approximately 1.8 million devices worldwide.
The malware primarily targets smart TVs, set-top boxes, and tablets connected to residential networks, with infections concentrated in countries including Brazil, India, the US, Argentina, South Africa, and the Philippines.
Analysis by QiAnXin XLab indicates that Kimwolf demonstrates a high degree of operational resilience.
Despite multiple disruptions to its command-and-control infrastructure, the botnet has repeatedly re-emerged with enhanced capabilities, including the adoption of Ethereum Name Service to harden its communications against takedown efforts.
Researchers also identified significant similarities between Kimwolf and AISURU, one of the most powerful botnets observed in recent years. Shared source code, infrastructure, and infection scripts suggest both botnets are operated by the same threat group and have coexisted on large numbers of infected devices.
AISURU has previously drawn attention for launching record-setting distributed denial-of-service attacks, including traffic peaks approaching 30 terabits per second.
The emergence of Kimwolf alongside such activity highlights the growing scale and sophistication of botnet-driven cyber threats targeting global internet infrastructure.
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The global professional services network, PwC, has expanded its Model Edge platform with the launch of Agent Mode, an AI assistant designed to automate governance, compliance and documentation across enterprise AI model lifecycles.
The capability targets the growing administrative burden faced by organisations as AI model portfolios scale and regulatory expectations intensify.
Agent Mode allows users to describe governance tasks in natural language, instead of manually navigating workflows.
A system that executes actions directly within Model Edge, generates leadership-ready documentation and supports common document and reporting formats, significantly reducing routine compliance effort.
PwC estimates weekly time savings of between 20 and 50 percent for governance and model risk teams.
Behind the interface, a secure orchestration engine interprets user intent, verifies role based permissions and selects appropriate large language models based on task complexity. The design ensures governance guardrails remain intact while enabling faster and more consistent oversight.
PwC positions Agent Mode as a step towards fully automated, agent-driven AI governance, enabling organisations to focus expert attention on risk assessment and regulatory judgement instead of process management as enterprise AI adoption accelerates.
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A new analysis examines the impact of AI on North Macedonia’s media sector, offering guidance on ethical standards, human rights, and regulatory approaches.
Prepared in both Macedonian and English, the study benchmarks the country’s practices against European frameworks and provides actionable recommendations for future regulation and self-regulation.
The research, supported by the EU and Council of Europe’s PRO-FREX initiative and in collaboration with the Agency for Audio and Audiovisual Media Services (AVMU), was presented during Media Literacy Days 2025 in Skopje.
It highlights the relevance of EU and Council of Europe guidelines, including the Framework Convention on AI and Human Rights, and guidance on responsible AI in journalism.
AVMU’s involvement underlines its role in ensuring media freedom, fairness, and accountability amid rapid technological change. Participants highlighted the need for careful policymaking to manage AI’s impact, protecting media diversity, journalistic standards, and public trust online.
The analysis forms part of broader efforts under the Council of Europe and the EU’s Horizontal Facility for the Western Balkans and Türkiye, aiming to support North Macedonia in aligning media regulation with European standards while responsibly integrating AI technologies.
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