Meta will provide its Llama AI model to key European institutions, NATO, and several allied countries as part of efforts to strengthen national security capabilities.
The company confirmed that France, Germany, Italy, Japan, South Korea, and the EU will gain access to the open-source model. US defence and security agencies and partners in Australia, Canada, New Zealand, and the UK already use Llama.
Meta stated that the aim is to ensure democratic allies have the most advanced AI tools for decision-making, mission planning, and operational efficiency.
Although its terms bar use for direct military or espionage applications, the company emphasised that supporting allied defence strategies is in the interest of nations.
The move highlights the strategic importance of AI models in global security. Meta has positioned Llama as a counterweight to other countries’ developments, after allegations that researchers adapted earlier versions of the model for military purposes.
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The European Union and Indonesia have concluded negotiations on a Comprehensive Economic Partnership Agreement (CEPA) and an Investment Protection Agreement (IPA), strongly emphasising technology, digitalisation and sustainable industries.
The agreements are designed to expand trade, secure critical raw materials, and drive the green and digital transitions.
Under the CEPA, tariffs on 98.5% of trade lines will be removed, cutting costs by €600 million annually and giving EU companies greater access to Indonesia’s fast-growing technology sectors, including electric vehicles, electronics and pharmaceuticals.
European firms will also gain full ownership rights in key service areas such as computers and telecommunications, helping deepen integration of digital supply chains.
A deal that embeds commitments to the Paris Agreement while promoting renewable energy and low-carbon technologies. It also includes cooperation on digital standards, intellectual property protections and trade facilitation for sectors vital to Europe’s clean tech and digital industries.
With Indonesia as a leading producer of critical raw materials, the agreement secures sustainable and predictable access to inputs essential for semiconductors, batteries and other strategic technologies.
Launched in 2016, the negotiations concluded after the political agreement reached in July 2025 between Presidents Ursula von der Leyen and Prabowo Subianto. The texts will undergo legal review before the EU and Indonesia ratification, opening a new chapter in tech-enabled trade and innovation.
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AI can help tackle the climate crisis, but governments must regulate it to ensure positive outcomes, says UN climate chief Simon Stiell. AI is already helping make energy systems more efficient, reduce industrial carbon emissions, and assist in climate diplomacy.
Stiell warned that the growing energy demands of large AI data centres pose risks that require careful management. He emphasised that AI should enhance human capacity rather than replace it, supporting tasks such as managing microgrids, mapping climate risk, and guiding resilient planning.
Global climate action is advancing, with renewable energy investment booming and countries aligning with the Paris Agreement. While China leads the clean energy surge, the EU, India, African nations, and Latin America also expand low-carbon solutions.
However, financing remains a barrier, with many planned low-carbon projects struggling to secure investment.
Despite progress, the benefits of the low-carbon transition are uneven, and the climate crisis is accelerating. Governments are urged to submit updated Paris Agreement plans before COP30 in Brazil, while Stiell calls for stronger climate cooperation and faster action.
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In Cameroon, where career guidance often takes a back seat, a new AI platform is helping students plan their futures. Developed by mathematician and AI researcher Frédéric Ngaba, OSIA offers personalised academic and career recommendations.
The platform provides a virtual tutor trained on Cameroon’s curricula, offering 400 exam-style tests and psychometric assessments. Students can input grades and aspirations, and the system builds tailored academic profiles to highlight strengths and potential career paths.
OSIA already has 13,500 subscribers across 23 schools, with plans to expand tenfold. Subscriptions cost 3,000 CFA francs for locals and €10 for students abroad, making it an affordable solution for many families.
Teachers and guidance counsellors see the tool as a valuable complement, though they stress it cannot replace human interaction or emotional support. Guidance professionals insist that social context and follow-up remain key to students’ development.
The Secretariat for Secular Private Education of Cameroon has authorized OSIA to operate. Officials expect its benefits to scale nationwide as the government considers a national AI strategy to modernise education and improve success rates.
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Routine hospital blood samples could help predict spinal cord injury severity and even mortality, a University of Waterloo study has found. Researchers used machine learning to analyse millions of data points from over 2,600 patients.
The models identified patterns in routine blood measurements, including electrolytes and immune cells, collected during the first three weeks following injury. These patterns forecast recovery outcomes even when neurological exams were unreliable or impossible.
Researchers said the models were accurate in predicting injury severity and mortality as early as one to three days after admission. Accuracy improved further as more blood test data became available over time.
Unlike MRI or fluid-based biomarkers, which are not always accessible, routine blood tests are low-cost and widely available in hospitals. The approach could help clinicians make more informed and faster treatment decisions.
The team says its findings could reshape early critical care for spinal cord injuries. Predicting severity sooner could guide resource allocation and prioritise patients needing urgent intervention.
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At Climate Week NYC 2025, UN Climate Chief Simon Stiell urged governments and industries to accelerate clean energy, embrace industrial and AI transformation, and prepare for decisive progress at COP30 in Belém.
He highlighted that renewable investment reached US$2 trillion last year and that most new renewable projects are cheaper than fossil fuels, showing that the transition is already underway instead of being dependent on breakthroughs.
Stiell warned, however, that the benefits remain uneven and too many industrial projects lie idle. He called on governments to align policy and finance with the Paris Agreement sector by sector while unlocking innovation to create millions of jobs.
On AI, he stressed the importance of harnessing its catalytic potential responsibly, using it to manage energy grids, map climate risks and guide planning, rather than allowing it to displace human skills.
Looking ahead, the UN Climate Chief pointed to the Baku to Belém Roadmap, a plan to mobilise at least US$1.3 trillion annually by 2035 to support climate action in developing countries. He said COP30 must respond to this roadmap, accelerate progress on national climate commitments and deliver for vulnerable communities.
Above all, he argued that climate cooperation is bending the warming curve and must continue to drive real-world improvements in jobs, health and energy access instead of faltering.
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OpenAI has launched its low-cost ChatGPT Go subscription in Indonesia, pricing it at 75,000 rupiah ($4.5) per month. The new plan offers ten times more messaging capacity, image generation tools and double memory compared with the free version.
The rollout follows last month’s successful launch in India, where ChatGPT subscriptions more than doubled. India has since become OpenAI’s largest market, accounting for around 13.5% of global monthly active users. The US remains second.
Nick Turley, OpenAI Vice President and head of ChatGPT, said Indonesia is already one of the platform’s top five markets by weekly activity. The new tier is aimed at expanding reach in populous, price-sensitive regions while ensuring broader access to AI services.
OpenAI is also strengthening its financial base as it pushes into new markets. On Monday, the company secured a $100 billion investment commitment from NVIDIA, joining Microsoft and SoftBank among its most prominent backers. The funding comes amid intensifying competition in the AI industry.
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The US General Services Administration (GSA) has launched a OneGov initiative with Meta to give federal agencies streamlined access to Llama, its open source AI models. The approach eliminates individual agency negotiations, saving time and reducing duplicated work across departments.
The initiative supports America’s AI Action Plan and federal memoranda, promoting the government’s accelerated and efficient use of AI. Rapid access to Llama aims to boost innovation, governance, public trust, and operational efficiency.
Open source Llama models allow federal teams to maintain complete control over data processing and storage. Agencies can build, deploy, and scale AI applications at lower cost, enhancing public services while delivering value to taxpayers.
Meta’s free access to the models further enables agencies to develop tailored solutions without reliance on proprietary platforms.
Collaboration between GSA and Meta ensures federal requirements are met while providing consistent department access. The arrangement enhances the government’s ability to implement AI while promoting transparency, reproducibility, and flexible mission-specific applications.
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OpenAI and NVIDIA have announced a strategic partnership to build at least 10 gigawatts of AI data centres powered by millions of NVIDIA GPUs.
A deal, supported by the investment of up to $100 billion from NVIDIA, that aims to provide the infrastructure for OpenAI’s next generation of models, with the first phase scheduled for late 2026 on the NVIDIA Vera Rubin platform.
The companies said the collaboration will enable the development of AGI and accelerate AI adoption worldwide. OpenAI will treat NVIDIA as its preferred strategic compute and networking partner, coordinating both sides’ hardware and software roadmaps.
They will also continue working with Microsoft, Oracle, SoftBank and other partners to build advanced AI infrastructure.
OpenAI has grown to more than 700 million weekly users across businesses and developers globally. Executives at both firms described the new partnership as the next leap in AI computing power, one intended to fuel innovation at scale instead of incremental improvements.
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A new Pew Research Center survey shows Americans are more worried than excited about AI shaping daily life. Half of adults say AI’s rise will harm creative thinking and meaningful relationships, while only small shares see improvements.
Many want greater control over its use, even as most are willing to let it assist with routine tasks.
The survey of over 5,000 US adults found 57% consider AI’s societal risks to be high, with just a quarter rating the benefits as significant. Most respondents also doubt their ability to recognise AI-generated content, although three-quarters believe being able to tell human from machine output is essential.
Americans remain sceptical about AI in personal spheres such as religion and matchmaking, instead preferring its application in heavy data tasks like weather forecasting, fraud detection and medical research.
Younger adults are more aware of AI than older generations, yet they are also more likely to believe it will undermine creativity and human connections.
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