Gemini brings conversational AI to Google TV

Google has launched Gemini for TV, bringing conversational AI to the living room. The update builds on Google TV and Google Assistant, letting viewers chat naturally with their screens to discover shows, plan trips, or even tackle homework questions.

Instead of scrolling endlessly, users can ask Gemini to find a film everyone will enjoy or recap last season’s drama. The AI can handle vague requests, like finding ‘that new hospital drama,’ and provide reviews before you press play.

Gemini also turns the TV into an interactive learning tool. From explaining why volcanoes erupt to guiding kids through projects, it offers helpful answers with supporting YouTube videos for hands-on exploration.

Beyond schoolwork, Gemini can help plan meals, teach new skills like guitar, or brainstorm family trips, all through conversational prompts. Such features make the TV a hub for entertainment, education, and inspiration.

Gemini is now available on the TCL QM9K series, with rollout to additional Google TV devices planned for later this year. Google says additional features are coming soon, making TVs more capable and personalised.

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UN warns AI poses risks without proper climate oversight

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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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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Meta’s open source AI models now available to all federal departments

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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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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Google DeepMind updates AI safety framework for advanced risks

A leading AI developer has released the third iteration of its Frontier Safety Framework (FSF), aiming to identify and mitigate severe risks from advanced AI models. The update expands risk domains and refines the process for assessing potential threats.

Key changes include the introduction of a Critical Capability Level (CCL) focused on harmful manipulation. The update targets AI models with the potential to systematically influence beliefs and behaviours in high-stakes contexts, ensuring safety measures keep pace with growing model capabilities.

The framework also enhances protocols for misalignment risks, addressing scenarios where AI could override operators’ control or shutdown attempts. Safety case reviews are now conducted before external launches and large-scale internal deployments reach critical thresholds.

The updated FSF sharpens risk assessments and applies safety and security mitigations in proportion to threat severity. It reflects a commitment to evidence-based AI governance, expert collaboration, and ensuring AI benefits humanity while minimising risks.

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UN reports at a crossroads

As world leaders gather in New York for the UN General Assembly, an unusual but timely question is being raised. In his recent blog, ‘Should the United Nations continue writing reports?’, Jovan Kurbalija argues that while some reports are vital, such as those exposing the role of tech companies in conflict zones, many have become little more than bureaucratic rituals with limited impact.

The UN Secretary-General himself has voiced concerns that the endless production of papers risks overshadowing the organisation’s true mission. The debate reveals two opposing views.

On one side, critics say reports distract from the UN’s core purpose of convening nations, negotiating compromises, and resolving crises. They point to history, such as the failed Treaty of Versailles, to warn that diplomacy loses its strength when buried under data and ‘scientific’ prescriptions.

Reports, they argue, cannot prevent wars or build trust without political will. Worse still, the drafting process is often more about avoiding offence than telling the truth, blurring the line between reporting and negotiation.

Defenders, however, insist that UN reports remain essential. They provide legitimacy, establish a shared baseline of facts, and create informal spaces for diplomacy even before formal talks begin.

During deep geopolitical divides and mistrust in institutions, independent UN analysis could be one of the few remaining tools to anchor global debates. While AI is increasingly capable of churning out facts and summaries, Kurbalija notes that human insight is still needed to read between the lines and grasp nuance.

The way forward, he suggests, is not to abandon reports altogether but to make them fewer, sharper, and more focused on action. Instead of endless PDFs, the UN should channel its energy back into mediation, dialogue, and the intricate craft of diplomacy. In a world drowning in information but starving for wisdom, reports should illuminate choices, not replace the art of negotiation.

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Amazon outlines responsible AI and global internet plans at UN

Amazon is meeting world leaders at the 80th UN General Assembly to share its vision for responsible AI and global internet access. The company highlighted Project Kuiper’s satellite initiative to provide affordable internet to underserved communities and bridge the digital divide.

The initiative aims to deliver fast, affordable internet to communities without access, boosting education and economic opportunities. Connectivity is presented as essential for participation in the modern economy, as well as for cultural and knowledge exchange across the globe.

Amazon emphasised the development of AI tools that are responsible, inclusive, and designed to enhance human potential. The company aims to make technology accessible, helping small businesses, speeding research, and offering tools once reserved for large organisations.

Collaboration remains central to Amazon’s approach. The company plans to work with governments, the UN, civil society, and other private sector partners to ensure technological advancements benefit humanity while mitigating potential risks.

Discussions at UNGA80 are expected to shape future strategies for innovation, governance, and sustainable development.

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