More than 50 EU lawmakers have called on the European Commission to clarify whether AI-powered applications for nudity are prohibited under existing EU legislation, citing concerns about online harm and legal uncertainty.
The request follows public scrutiny of the Grok, owned by xAI, which was found to generate manipulated intimate images involving women and minors.
Lawmakers argue that such systems enable gender-based online violence and the production of child sexual abuse material instead of legitimate creative uses.
In their letter, lawmakers questioned whether current provisions under the EU AI Act sufficiently address nudification tools or whether additional prohibitions are required. They also warned that enforcement focused only on substantial online platforms risks leaving similar applications operating elsewhere.
While EU authorities have taken steps under the Digital Services Act to assess platform responsibilities, lawmakers stressed the need for broader regulatory clarity and consistent application across the digital market.
Further political debate on the issue is expected in the coming days.
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California Attorney General Rob Bonta has launched an investigation into xAI, the company behind the Grok chatbot, over the creation and spread of nonconsensual sexually explicit images.
Bonta’s office said Grok has been used to generate deepfake intimate images of women and children, which have then been shared on social media platforms, including X.
Officials said users have taken ordinary photos and manipulated them into sexually explicit scenarios without consent, with xAI’s ‘spicy mode’ contributing to the problem.
‘We have zero tolerance for the AI-based creation and dissemination of nonconsensual intimate images or child sexual abuse material,’ Bonta said in a statement.
The investigation will examine whether xAI has violated the law and follows earlier calls for stronger safeguards to protect children from harmful AI content.
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Wikipedia marked its 25th anniversary by showcasing the rapid expansion of Wikimedia Enterprise and its growing tech partnerships. The milestone reflects Wikipedia’s evolution into one of the most trusted and widely used knowledge sources in the digital economy.
Amazon, Meta, Microsoft, Mistral AI, and Perplexity have joined the partner roster for the first time, alongside Google, Ecosia, and several other companies already working with Wikimedia Enterprise.
These organisations integrate human-curated Wikipedia content into search engines, AI models, voice assistants, and data platforms, helping deliver verified knowledge to billions of users worldwide.
Wikipedia remains one of the top ten most visited websites globally and the only one in that group operated by a non-profit organisation. With over 65 million articles in 300+ languages, the platform is a key dataset for training large language models.
Wikimedia Enterprise provides structured, high-speed access to this content through on-demand, snapshot, and real-time APIs, allowing companies to use Wikipedia data at scale while supporting its long-term sustainability.
As Wikipedia continues to expand into new languages and subject areas, its value for AI development, search, and specialised knowledge applications is expected to grow further.
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OpenAI has agreed to purchase up to 750 megawatts of computing power from AI chipmaker Cerebras over the next three years. The deal, announced on 14 January, is expected to be worth more than US$10 billion and will support ChatGPT and other AI services.
Cerebras will provide cloud services powered by its wafer-scale chips, which are designed to run large AI models more efficiently than traditional GPUs. OpenAI plans to use the capacity primarily for inference and reasoning models that require high compute.
Cerebras will build or lease data centres filled with its custom hardware, with computing capacity coming online in stages through 2028. OpenAI said the partnership would help improve the speed and responsiveness of its AI systems as user demand continues to grow.
The deal is also essential for Cerebras as it prepares for a second attempt at a public listing, following a 2025 IPO that was postponed. Diversifying its customer base beyond major backers such as UAE-based G42 could strengthen its financial position ahead of a potential 2026 flotation.
The agreement highlights the wider race among AI firms to secure vast computing resources, as investment in AI infrastructure accelerates. However, some analysts have warned that soaring valuations and heavy spending could resemble past technology bubbles.
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A new beta feature has been launched in the United States that lets users personalise the Gemini assistant by connecting Google apps such as Gmail, Photos, YouTube and Search. The tool, called Personal Intelligence, is designed to make the service more proactive and context-aware.
When enabled, Personal Intelligence allows Gemini to reason across a user’s emails, photos, and search history to answer questions or retrieve specific details. Google says users remain in control of which apps are connected and can turn the feature off at any time.
The company showed how Gemini can use connected data to offer tailored suggestions, such as identifying vehicle details from Photos or recommending trips based on past travel.
Google said the system includes privacy safeguards. Personal Intelligence is turned off by default, and Gemini does not train on users’ Gmail inboxes or photo libraries.
The beta is rolling out to Google AI Pro and AI Ultra subscribers in the US and will work across web, Android, and iOS. Google plans to expand access over time and bring the feature to more countries and users.
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The US administration has approved the export of Nvidia’s H200 AI chips to China, reversing years of tight US restrictions on advanced AI hardware. The Nvidia H200 chips represent the company’s second-most-powerful chip series and were previously barred from sale due to national security concerns.
The US president announced the move last month, linking approval to a 25 per cent fee payable to the US government. The administration said the policy balances economic competitiveness with security interests, while critics warned it could strengthen China’s military and surveillance capabilities.
Under the new rules, Nvidia H200 chips may be shipped to China only after third-party testing verifies their performance. Chinese buyers are limited to 50 per cent of the volume sold to US customers and must provide assurances that the chips will not be used for military purposes.
Nvidia welcomed the decision, saying it would support US jobs and global competitiveness. However, analysts questioned whether the safeguards can be effectively enforced, noting that Chinese firms have previously accessed restricted technologies through intermediaries.
Chinese companies have reportedly ordered more than two million Nvidia H200 chips, far exceeding the chipmaker’s current inventory. The scale of demand has intensified debate over whether the policy will limit China’s AI ambitions or accelerate its access to advanced computing power.
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A new suite of open translation models, TranslateGemma, has been launched, bringing advanced multilingual capabilities to users worldwide. Built on the Gemma 3 architecture, the models support 55 languages and come in 4B, 12B, and 27B parameter sizes.
The release aims to make high-quality translation accessible across devices without compromising efficiency.
TranslateGemma delivers impressive performance gains, with the 12B model surpassing the 27B Gemma 3 baseline on WMT24++ benchmarks. The models achieve higher accuracy while requiring fewer parameters, enabling faster translations with lower latency.
The 4B model also performs on par with larger models, making it ideal for mobile deployment.
The development combines supervised fine-tuning on diverse parallel datasets with reinforcement learning guided by advanced metrics. TranslateGemma performs well in high- and low-resource languages and supports accurate text translation within images.
Designed for flexible deployment, the models cater to mobile devices, consumer laptops, and cloud environments. Researchers and developers can use TranslateGemma to build customised translation solutions and improve coverage for low-resource languages.
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Pakistan has launched its own Urdu-focused generative AI model, Qalb, trained on 1.97 billion tokens and evaluated across more than seven international benchmarking frameworks. The developers say the model outperforms existing Urdu-language systems on key real-world performance indicators.
With Urdu spoken by over 230 million people worldwide, Qalb aims to expand access to advanced AI tools in Pakistan’s national language. The model is designed to support local businesses, startups, education platforms, digital services, and voice-based AI agents.
Qalb was developed by a small team led by Taimoor Hassan, a serial entrepreneur who has launched and exited multiple startups and previously won the Microsoft Cup. He completed his undergraduate studies in computer science in Pakistan and is currently pursuing postgraduate education in the United States.
‘I had the opportunity to contribute in a small way to a much bigger mission for the country,’ Hassan said, noting that the project was built with his former university teammates Jawad Ahmed and Muhammad Awais. The group plans to continue refining localised AI models for specific industries.
The launch of Qalb highlights how smaller teams can develop advanced AI tools outside major technology hubs. Supporters say Urdu-first models could help drive innovation across Pakistan’s digital economy.
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The US AI company, OpenAI, has invested in Merge Labs as part of a seed funding round, signalling a growing interest in brain-computer interfaces as a future layer of human–technology interaction.
Merge Labs describes its mission as bridging the gap between biology and AI to expand human capability and agency. The research lab is developing new BCI approaches designed to operate safely while enabling much higher communication bandwidth between the brain and digital systems.
AI is expected to play a central role in Merge Labs’ work, supporting advances in neuroscience, bioengineering and device development instead of relying on traditional interface models.
High-bandwidth brain interfaces are also expected to benefit from AI systems capable of interpreting intent under conditions of limited and noisy signals.
OpenAI plans to collaborate with Merge Labs on scientific foundation models and advanced tools, aiming to accelerate research progress and translate experimental concepts into practical applications over time.
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AI is expected to play an increasingly important role in improving Britain’s road and rail networks. MPs highlighted its potential during a transport-focused industry summit in Parliament.
The Transport Select Committee chair welcomed government investment in AI and infrastructure. Road maintenance, connectivity and reduced delays were cited as priorities for economic growth.
UK industry leaders showcased AI tools that autonomously detect and repair potholes. Businesses said more intelligent systems could improve reliability while cutting costs and disruption.
Experts warned that stronger cybersecurity must accompany AI deployment. Safeguards are needed to protect critical transport infrastructure from external threats and misuse.
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