OpenAI, Oracle and SoftBank expand Stargate with new US data centres

A collaboration between OpenAI, Oracle, and SoftBank has announced five new data centres under the Stargate initiative, a $500 billion plan to expand US AI computing infrastructure.

The latest sites bring total planned capacity to nearly 7 gigawatts, with over $400 billion already committed, putting the project ahead of schedule to meet its 2025 target of 10 gigawatts.

Oracle will lead three projects in Texas, New Mexico and the Midwest, adding over 5.5 gigawatts of capacity and creating more than 25,000 jobs.

SoftBank will develop facilities in Ohio and Texas, expected to scale to 1.5 gigawatts within 18 months. SB Energy, its affiliate, will provide rapid-build infrastructure for the Texas site.

The companies described the expansion as a step toward faster deployment and greater cost efficiency, making high-performance computing more widely accessible.

Site selection followed a nationwide review of more than 300 proposals, with further projects under evaluation, suggesting investment could surpass the original commitment.

OpenAI CEO Sam Altman stressed that compute power is key to unlocking AI’s promise, while Oracle and SoftBank leaders highlighted scalable infrastructure and energy expertise as central to the initiative. With Stargate, the partners aim to anchor the next wave of AI innovation on US soil.

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EU and Indonesia free trade deal strengthens tech and digital supply chains

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-powered OSIA aims to boost student success rates in Cameroon

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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Waterloo study links blood patterns to spinal injury prognosis

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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Genetic experts and Microsoft design AI assistant to streamline sequencing

Microsoft, Drexel University, and the Broad Institute have developed a generative AI assistant to support genome sequencing. The study in ACM Transactions on Interactive Intelligent Systems demonstrates how AI can accelerate searching, filtering, and synthesising data in rare disease diagnosis.

Whole genome sequencing often takes weeks and yields a diagnosis in fewer than half of cases. Analysts must decide which unsolved cases to revisit as new research appears. The AI assistant flags cases for reanalysis and compiles new gene and variant data into a clear, usable format.

The team interviewed 17 genetics professionals to map workflows and challenges before co-designing the prototype. Sessions focused on problems such as data overload, slow collaboration, and difficulty prioritising unsolved cases, helping ensure the tool addressed real-world pain points.

The prototype enables collaborative sensemaking, allowing users to edit and verify AI-generated content. It offers flexible filtering to surface the most relevant evidence while keeping a comprehensive view, saving time and improving decision-making.

Microsoft-led researchers plan to test the assistant in real-world environments to measure its effect on diagnostic yield and workflow efficiency. They emphasise that success will depend on collaboration among developers, genetic experts, and system designers to build trustworthy and explainable tools.

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UN climate chief calls for action on AI, energy and finance ahead of COP30

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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ChatGPT Go launches in Indonesia with $4.5 monthly plan

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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Global call grows for limits on risky AI uses

Over 200 scientists, political leaders and cultural figures have signed a global appeal to set boundaries on AI use. The Global Call for AI Red Lines initiative aims to establish an international agreement on applications that should never be pursued.

Signatories include Nobel laureates, former heads of state, and leading AI researchers such as Geoffrey Hinton, Ian Goodfellow and Yoshua Bengio. OpenAI co-founder Wojciech Zaremba, authors Yuval Noah Harari and Stephen Fry.

Supporters argue that unchecked AI development risks destabilising societies and violating human rights. Consensus is urgently needed to prohibit applications threatening democracy, security, or public safety.

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NVIDIA and OpenAI partner to build 10 gigawatts of AI data centres

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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Americans fear AI will weaken creativity and human connections

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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