Nordic ministers for culture have approved funding for a new network dedicated to language models for AI. The decision, taken at a meeting in Stockholm on 29 October, aims to ensure AI development reflects the region’s unique linguistic and cultural traits.
It is one of the first projects for the recently launched Nordic-Baltic centre for AI, New Nordics AI.
The network will bring together national stakeholders to address shared challenges in AI language models. The initiative aims to protect smaller languages and ensure AI tools reflect Nordic linguistic diversity through knowledge sharing and collaboration.
Finland’s Minister for Research and Culture, Mari-Leena Talvitie, said the project is a key step in safeguarding the future of regional languages in digital tools.
Ministers also discussed AI’s broader cultural impact, highlighting issues such as copyright and the need for regional oversight. The network will identify collaboration opportunities and guide future investments in culturally and linguistically anchored Nordic AI solutions.
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Foxconn will add humanoid robots to a new Houston plant building Nvidia AI servers from early 2026. Announced at Nvidia’s developer conference, the move deepens their partnership and positions the site as a US showcase for AI-driven manufacturing.
Humanoid systems based on Nvidia’s Isaac GR00T N are built to perceive parts, adapt on the line, and work with people. Unlike fixed industrial arms, they handle delicate assembly and switch tasks via software updates. Goals include flexible throughput, faster retooling, and fewer stoppages.
AI models are trained in simulation using digital twins and reinforcement learning to improve accuracy and safety. On the line, robots self-tune as analytics predict maintenance and balance workloads, unlocking gains across logistics, assembly, testing, and quality control.
Texas, US, offers proximity to a growing semiconductor and AI cluster, as well as policy support for domestic capacity. Foxconn also plans expansions in Wisconsin and California to meet global demand for AI servers. Scaling output should ease supply pressures around Nvidia-class compute in data centres.
Job roles will shift as routine tasks automate and oversight becomes data-driven. Human workers focus on design, line configuration, and AI supervision, with safety gates for collaboration. Analysts see a template for Industry 4.0 factories running near-continuously with rapid changeovers.
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The United States and South Korea agreed on a broad science and technology memorandum to deepen alliance ties and bolster Indo-Pacific stability. The non-binding pact aims to accelerate innovation while protecting critical capabilities. Both sides cast it as groundwork for a new Golden Age of Innovation.
AI sits at the centre. Plans include pro-innovation policy alignment, trusted exports across the stack, AI-ready datasets, safety standards, and enforcement of compute protection. Joint metrology and standards work links the US Center for AI Standards and Innovation with the AI Safety Institute of South Korea.
Trusted technology leadership extends beyond AI. The memorandum outlines shared research security, capacity building for universities and industry, and joint threat analysis. Telecommunications cooperation targets interoperable 6G supply chains and coordinated standards activity with industry partners.
Quantum and basic research are priority growth areas. Participants plan interoperable quantum standards, stronger institutional partnerships, and secured supply chains. Larger projects and STEM exchanges aim to widen collaboration, supported by shared roadmaps and engagement in global consortia.
Space cooperation continues across civil and exploration programmes. Strands include Artemis contributions, a Korean cubesat rideshare on Artemis II, and Commercial Lunar Payload Services. The Korea Positioning System will be developed for maximum interoperability with GPS.
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Google has removed the option to display up to 100 search results per page, now showing only 10 results at a time. The change limits visibility for websites beyond the top 10 and may reduce organic traffic for many content creators.
The update also impacts AI systems and automated workflows. Many tools rely on search engines to collect data, index content, or feed retrieval systems. With fewer results per query, these processes require additional searches, slowing data collection and increasing operational costs.
Content strategists and developers are advised to adapt. Optimising for top-ranked pages, revising SEO approaches, and rethinking data-gathering methods are increasingly important for both human users and AI-driven systems.
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Meta and TikTok have confirmed they will comply with Australia’s new law banning under-16s from using social media platforms, though both warned it will be difficult to enforce. The legislation, taking effect on 10 December, will require major platforms to remove accounts belonging to users under that age.
The law is among the world’s strictest, but regulators and companies are still working out how it will be implemented. Social media firms face fines of up to A$49.5 million if found in breach, yet they are not required to verify every user’s age directly.
TikTok’s Australia policy head, Ella Woods-Joyce, warned the ban could drive children toward unregulated online spaces lacking safety measures. Meta’s director, Mia Garlick, acknowledged the ‘significant engineering and age assurance challenges’ involved in detecting and removing underage users.
Critics including YouTube and digital rights groups have labelled the ban vague and rushed, arguing it may not achieve its aim of protecting children online. The government maintains that platforms must take ‘reasonable steps’ to prevent young users from accessing their services.
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A Paris court has ordered Apple to pay around €39 million to French mobile operators, ruling that the company imposed unfair terms in contracts governing iPhone sales more than a decade ago. The court also fined Apple €8 million and annulled several clauses deemed anticompetitive.
Judges found that Apple required carriers to sell a set number of iPhones at fixed prices, restricted how its products were advertised, and used operators’ patents without compensation. The French consumer watchdog DGCCRF had first raised concerns about these practices years earlier.
Under the ruling, Apple must compensate three of France’s four major mobile networks; Bouygues Telecom, Free, and SFR. The decision applies immediately despite Apple’s appeal, which will be heard at a later date.
Apple said it disagreed with the ruling and would challenge it, arguing that the contracts reflected standard commercial arrangements of the time. French regulators have increasingly scrutinised major tech firms as part of wider efforts to curb unfair market dominance.
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Ontario’s privacy watchdog has released an expanded set of deidentification guidelines to help organisations protect personal data while enabling innovation. The 100-page document from the Office of the Information and Privacy Commissioner (IPC) offers step-by-step advice, checklists and examples.
The update modernises the 2016 version to reflect global regulatory changes and new data protection practices. She emphasised that the guidelines aim to help organisations of all sizes responsibly anonymise data while maintaining its usefulness for research, AI development and public benefit.
Developed through broad stakeholder consultation, the guidelines were refined with input from privacy experts and the Canadian Anonymization Network. The new version responds to industry requests for more detailed, operational guidance.
Although the guidelines are not legally binding, experts said following them can reduce liability risks and strengthen compliance with privacy laws. The IPC hopes they will serve as a practical reference for executives and data officers.
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OpenAI has finalised its recapitalisation, simplifying its structure while preserving its core mission. The new OpenAI Foundation controls OpenAI Group PBC and holds about $130 billion in equity, making it one of history’s best-funded philanthropies.
The Foundation will receive further ownership as OpenAI’s valuation grows, ensuring its financial resources expand alongside the company’s success. Its mission remains to ensure that artificial general intelligence benefits all of humanity.
The more the business prospers, the greater the Foundation’s capacity to fund global initiatives.
An initial $25 billion commitment will focus on two core areas: advancing healthcare breakthroughs and strengthening AI resilience. Funds will go toward open-source health datasets, medical research, and technical defences to make AI systems safer and more reliable.
The initiative builds on OpenAI’s existing People-First AI Fund and reflects recommendations from its Nonprofit Commission.
The recapitalisation follows nearly a year of discussions with the Attorneys General of California and Delaware, resulting in stronger governance and accountability. With this structure, OpenAI aims to advance science, promote global cooperation, and share AI benefits broadly.
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AI no longer belongs to speculative fiction or distant possibility. In many ways, it has arrived. From machine translation and real-time voice synthesis to medical diagnostics and language generation, today’s systems perform tasks once reserved for human cognition. For those watching closely, this shift feels less like a surprise and more like a milestone reached.
Ray Kurzweil, one of the most prominent futurists of the past half-century, predicted much of what is now unfolding. In 1999, his book The Age of Spiritual Machines laid a roadmap for how computers would grow exponentially in power and eventually match and surpass human capabilities. Over two decades later, many of his projections for the 2020s have materialised with unsettling accuracy.
The futurist who measured the future
Kurzweil’s work stands out not only for its ambition but for its precision. Rather than offering vague speculation, he produced a set of quantifiable predictions, 147 in total, with a claimed accuracy rate of over 85 percent. These ranged from the growth of mobile computing and cloud-based storage to real-time language translation and the emergence of AI companions.
Since 2012, he has worked at Google as Director of Engineering, contributing to developing natural language understanding systems. He believes is that exponential growth in computing power, driven by Moore’s Law and its successors, will eventually transform our tools and biology.
Reprogramming the body with code
One of Kurzweil’s most controversial but recurring ideas is that human ageing is, at its core, a software problem. He believes that by the early 2030s, advancements in biotechnology and nanomedicine could allow us to repair or even reverse cellular damage.
The logic is straightforward: if ageing results from accumulated biological errors, then precise intervention at the molecular level might prevent those errors or correct them in real time.
Some of these ideas are already being tested, though results remain preliminary. For now, claims about extending life remain speculative, but the research trend is real.
Kurzweil’s perspective places biology and computation on a converging path. His view is not that we will become machines, but that we may learn to edit ourselves with the same logic we use to program them.
The brain, extended
Another key milestone in Kurzweil’s roadmap is merging biological and digital intelligence. He envisions a future where nanorobots circulate through the bloodstream and connect our neurons directly to cloud-based systems. In this vision, the brain becomes a hybrid processor, part organic, part synthetic.
By the mid-2030s, he predicts we may no longer rely solely on internal memory or individual thought. Instead, we may access external information, knowledge, and computation in real time. Some current projects, such as brain–computer interfaces and neuroprosthetics, point in this direction, but remain in early stages of development.
Kurzweil frames this not as a loss of humanity but as an expansion of its potential.
The singularity hypothesis
At the centre of Kurzweil’s long-term vision lies the idea of a technological singularity. By 2045, he believes AI will surpass the combined intelligence of all humans, leading to a phase shift in human evolution. However, this moment, often misunderstood, is not a single event but a threshold after which change accelerates beyond human comprehension.
The singularity, in Kurzweil’s view, does not erase humanity. Instead, it integrates us into a system where biology no longer limits intelligence. The implications are vast, from ethics and identity to access and inequality. Who participates in this future, and who is left out, remains an open question.
Between vision and verification
Critics often label Kurzweil’s forecasts as too optimistic or detached from scientific constraints. Some argue that while trends may be exponential, progress in medicine, cognition, and consciousness cannot be compressed into neat timelines. Others worry about the philosophical consequences of merging with machines.
Still, it is difficult to ignore the number of predictions that have already come true. Kurzweil’s strength lies not in certainty, but in pattern recognition. His work forces a reckoning with what might happen if the current pace of change continues unchecked.
Whether or not we reach the singularity by 2045, the present moment already feels like the future he described.
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Nokia and NVIDIA have announced a $1 billion partnership to develop an AI-powered platform that will drive the transition from 5G to 6G networks.
The collaboration will create next-generation AI-RAN systems, combining computing, sensing and connectivity to transform how the US mobile networks process data and deliver services.
However, this partnership marks a strategic step in both companies’ ambition to regain global leadership in telecommunications.
By integrating NVIDIA’s new Aerial RAN Computer and Nokia’s AI-RAN software, operators can upgrade existing networks through software updates instead of complete infrastructure replacements.
T-Mobile US will begin field tests in 2026, supported by Dell’s PowerEdge servers.
NVIDIA’s investment and collaboration with Nokia aim to strengthen the foundation for AI-native networks that can handle the rising demand from agentic, generative and physical AI applications.
These networks are expected to support future 6G use cases, including drones, autonomous vehicles and advanced augmented reality systems.
Both companies see AI-RAN as the next evolution of wireless connectivity, uniting data processing and communication at the edge for greater performance, energy efficiency and innovation.
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