Apple is facing a new copyright lawsuit after two authors alleged the company used pirated copies of their books to train its OpenELM AI models. Filed in Northern California, the case claims Apple used the authors’ works without permission, payment, or credit.
The lawsuit seeks class-action status, adding Apple to a growing list of technology firms accused of misusing copyrighted works for AI training.
The action comes amid a wider legal storm engulfing AI companies. Anthropic recently agreed to a $1.5 billion settlement with authors who alleged its Claude chatbot was trained on their works without authorisation, in what lawyers called the most significant copyright recovery in history.
Microsoft, Meta, and OpenAI also face similar lawsuits over alleged reliance on unlicensed material in their datasets.
Analysts warn Apple could face heightened scrutiny given its reputation as a privacy-focused company. Any finding that its AI models were trained on pirated material could cause serious reputational harm alongside potential financial penalties.
The case also underscores the broader unresolved debate over whether AI training constitutes fair use or unlawful exploitation of creative works.
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ASML has reportedly become the top shareholder in French AI company Mistral after investing €1.3 billion. The deal forms part of a wider €2 billion funding round that values Mistral at $14 billion, marking a significant milestone for the Paris-based startup.
The Dutch chip-making equipment giant will also gain a board seat at Mistral, with Bank of America advising on the investment. The move is seen as a step towards reinforcing European technological sovereignty by reducing reliance on American and Chinese AI systems.
The partnership could help Mistral expand its generative AI tools and open-source platforms while enhancing ASML’s ability to integrate data analytics into its operations.
Industry analysts suggest the collaboration will unite two European technology leaders at a critical moment in the global race for AI dominance.
Founded by Timothée Lacroix, Guillaume Lample, and Arthur Mensch, Mistral has quickly become one of Europe’s most valuable AI startups.
The company, backed by investors including Microsoft, Databricks, and General Catalyst, develops open-source generative AI models that directly compete with those produced by OpenAI.
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Nigeria has pledged to become one of the top 50 AI-ready nations, according to presidential adviser Hadiza Usman. Speaking in Abuja at a colloquium on AI policy, she said the country needs strong leadership, investment, and partnerships to meet its goals.
She stressed that policies must address Nigeria’s unique challenges and not simply replicate foreign models. The government will offer collaboration opportunities with local institutions and international partners.
The Nigerian Deposit Insurance Commission reinforced its support, noting that technology should secure depositors without restricting innovators.
Private sector voices said AI could transform healthcare, agriculture, and public services if policies are designed with inclusion and trust in mind.
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Quantum computers may soon grow more powerful through 3D printing, with researchers building miniaturised ion traps to improve scalability and performance.
Ion traps, which confine ions and control their quantum states, play a central role in ion-based qubits. Researchers at UC Berkeley created 3D-printed traps just a few hundred microns wide, which captured ions up to ten times more efficiently than conventional versions.
The new traps also reduced waiting times, allowing ions to be usable more quickly once the system is activated. Hartmut Häffner, who led the study, said the approach could enable scaling to far larger numbers of qubits while boosting speed.
3D printing offers flexibility not possible with chip-style manufacturing, allowing for more complex shapes and designs. Team members say they are already working on new iterations, with future versions expected to integrate optical components such as miniaturised lasers.
Experts argue that this method could address the challenges of low yield, high costs, and poor reproducibility in current ion-trap manufacturing, paving the way for scalable quantum computing and applications in other fields, including mass spectrometry.
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Universal Internet connectivity by 2030 could cost up to $2.8 trillion, according to the International Telecommunication Union (ITU) and Saudi Arabia’s Communications, Space, and Technology (CST) Commission. The blueprint urges global cooperation to connect the one-third of humanity still offline.
The largest share, up to $1.7 trillion, would be allocated to expanding broadband through fibre, wireless, and satellite networks. Nearly $1 trillion is needed for affordability measures, alongside $152 billion for digital skills programmes.
ITU Secretary-General Doreen Bogdan-Martin emphasised that connectivity is essential for access to education, employment, and vital services. She noted the stark divide between high-income countries, where 93% of people are online, and low-income states, where only 27% use the Internet.
The study shows costs have risen fivefold since ITU’s 2020 Connecting Humanity report, reflecting both higher demand and widening divides. Haytham Al-Ohali from Saudi Arabia said the figures underscore the urgency of investment and knowledge sharing to achieve meaningful connectivity.
The report recommends new business models and stronger cooperation between governments, industry, and civil society. Proposed measures include using schools as Internet gateways, boosting Africa’s energy infrastructure, and improving localised data collection to accelerate digital inclusion.
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Coinbase CEO Brian Armstrong said AI now generates around 40 per cent of the exchange’s code, expected to surpass 50 per cent by October 2025. He emphasised that human oversight remains essential, as AI cannot be uniformly applied across all areas of the platform.
Armstrong confirmed that engineers were instructed to adopt AI development tools within a week, with those resisting the mandate dismissed. The move places Coinbase ahead of technology giants such as Microsoft and Google, which use AI for roughly 30 per cent of their code.
Security experts have raised concerns about the heavy reliance on AI. Industry figures warn that AI-generated code could contain bugs or miss critical context, posing risks for a platform holding over $420 billion in digital assets.
Larry Lyu called the strategy ‘a giant red flag’ for security-sensitive businesses.
Supporters argue that Coinbase’s approach is measured. Richard Wu of Tensor said AI could generate up to 90 per cent of high-quality code within five years if paired with thorough review and testing, similar to junior engineer errors.
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Mythos AI has installed its Advanced Pilot Assistance System (APAS) on the CB Pacific, a chemical tanker operated by CB Tankers under the Lomar group. The deployment marks the beginning of a year-long trial to introduce advanced bridge intelligence to the commercial shipping industry.
APAS uses a radar-first perception system that integrates with existing ship radars, processing multiple data streams to deliver prioritised alerts. By reducing its reliance on machine vision, the system aims to eliminate distractions, enhance decision-making, and improve navigation safety.
The CB Pacific, equipped with Furuno radar and consistent routes, will serve as a testbed to evaluate APAS performance in live conditions. Trials will assess collision prediction, safe navigation, signal processing, and compliance with maritime rules.
Mythos AI emphasises that APAS is designed to support crews, not replace them. CEO Geoff Douglass said the installation marks the company’s first operational use of the system on a tanker and a milestone in its wider commercial roadmap.
For LomarLabs, the pilot showcases its hands-on innovation model, offering vessel access and oversight to facilitate collaboration with startups. Managing Director Stylianos Papageorgiou said the radar-first architecture shows how modular autonomy can be advanced through trust, time, and fleet partnerships.
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Financial services firms are adapting rapidly to the rise of AI in cybersecurity, according to David Ramirez, CISO at Broadridge. He said AI is changing the balance between attackers and defenders while also reshaping the skills security teams require.
On the defensive side, AI is already streamlining governance, risk management and compliance tasks, while also speeding up incident detection and training. He highlighted its growing role in areas like access management and data loss prevention.
He also stressed the importance of aligning cyber strategy with business goals and improving board-level visibility. While AI tools are advancing quickly, he urged CISOs not to lose sight of risk assessments and fundamentals in building resilient systems.
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OpenAI has reportedly placed a $10bn order with Broadcom to mass-produce custom AI chips, due for shipment in 2026. Sources told the Financial Times that the move would help reduce OpenAI’s dependence on Nvidia, its primary supplier.
Sam Altman recently said OpenAI will use ‘well over 1m GPUs’ by the end of 2025, highlighting the company’s accelerating demand for computing power. In contrast, Elon Musk’s xAI is expected to double its Nvidia Hopper GPUs to around 200,000.
Broadcom confirmed a large custom chip order during its latest earnings call, without naming the buyer. The company’s AI revenue rose 63 percent to $5.2bn, chip sales grew 57 percent to $9.1bn, and shares gained nearly 5 percent.
The new order is expected to be for internal use rather than external customers. Industry observers suggest that OpenAI’s decision signals a strategic shift, allowing the ChatGPT maker to secure supply for its AI expansion while diversifying beyond Nvidia.
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Private backing for UK AI companies has reached £2.9 billion, with average deals of £5.9 million, driving record growth across the sector. Ministers say investment is spreading regionally, with the number of firms in the Midlands, Yorkshire, Wales, and the North West doubling in just three years.
At Mansion House, Technology Secretary Peter Kyle urged industry to cut red tape, expand data centres, and attract global talent. He emphasised that public trust, supported by AI assurance measures, is crucial for growth.
The assurance roadmap aims to add billions to the economy by creating a dedicated profession to review AI systems for safety, ethics, and accountability. Independent experts will be tasked with certifying systems, while a consortium of professional bodies develops a code of ethics to guide standards.
Further initiatives include £2.7m to boost regulator capacity and AI projects for Ofgem, the Civil Aviation Authority, and the Office for Nuclear Regulation, covering energy, aviation, and nuclear waste.
Officials say these measures will help position the UK as a world leader in AI innovation, while ensuring growth is matched with robust oversight and public confidence in the technology.
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