Digital cooperation

AI image war heats up as ByteDance unveils Seedream 4.0

ByteDance has unveiled Seedream 4.0, its latest AI-powered image generation model, which it claims outperforms Google DeepMind’s Gemini 2.5 Flash Image. The launch signals ByteDance’s bid to rival leading creative AI tools.

Developed by ByteDance’s Seed division, the model combines advanced text-to-image generation with fast, precise image editing. Internal testing reportedly showed superior prompt accuracy, image alignment, and visual quality compared to US-developed DeepMind’s system.

Artificial Analysis, an independent AI benchmarking firm, called Seedream 4.0 a significant step forward. The model integrates Seedream 3.0’s generation capability with SeedEdit 3.0’s editing tools while maintaining a price of US$30 per 1,000 generations.

ByteDance claims that Seedream 4.0 runs over 10 times faster than earlier versions, enhancing the user experience with near-instant image inference. Early users have praised its ability to make quick, text-prompted edits with high accuracy.

The tool is now available to users in China through Jimeng and Doubao AI apps and businesses via Volcano Engine, ByteDance’s cloud platform. A formal technical report supporting the company’s claims has not yet been released.

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1 Billion Summit and Google Gemini launch largest AI Film Award

The 1 Billion Followers Summit and Google Gemini have announced the world’s largest AI Film Award, offering the winning film a USD 1 million prize. The award will be presented at the Summit, organised by the UAE Government Media Office, from 9–11 January 2026.

Films entered must be at least 70% AI-generated, run between 7 and 10 minutes, and use Google Gemini technologies such as Imagen and Veo. Applicants may use other tools for editing, but the core video generation must rely on Google Gemini.

Submissions should creatively address one of two themes: ‘Rewrite Tomorrow’ or ‘The Secret Life of’, exploring the future or untold stories.

A panel of judges will assess entries on storytelling, creativity, AI integration, execution and thematic excellence. Films will be reviewed from 21 November to 4 December, with 10 qualifying films open to public voting from 10–15 December.

The top five will be announced on 3 January, with screenings at the Summit on 10 January. The grand prize winner will be revealed on 11 January.

The AI Film Award aims to promote impactful storytelling using AI, enhancing filmmakers’ technical and creative skills while encouraging meaningful, forward-looking content. Applications are submitted individually via the Summit website.

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Yale students explore AI through clubs and fellowships

Across Yale, membership in AI-focused clubs such as the Yale Artificial Intelligence Association (AIA), Yale Artificial Intelligence Alignment (YAIA) and Yale Artificial Intelligence Policy Initiative (YAIPI) has grown rapidly.

The organisations offer weekly meetings, projects, and fellowships to deepen understanding of AI’s technical, ethical, and societal implications.

Each club has a distinct focus. YAIA addresses long-term risks and safety, while the AIA emphasises student-led technical projects and community-building. YAIPI explores ethics, governance and policy, particularly for students without technical backgrounds.

Fellowships, paper-reading groups and collaborative projects allow members to engage deeply with AI issues.

Membership numbers reflect this surge: AIA’s mailing list now includes around 400 students, YAIPI has over 200 subscribers, and YAIA admitted 25 students to its safety fellowship. The clubs are also beginning to collaborate, combining technical expertise with policy knowledge for joint projects.

Professional schools and faculty-led initiatives, including law and business-focused AI groups, further expand opportunities for student engagement.

AI’s role in classrooms remains varied. Some professors encourage experimentation with generative tools, while others enforce stricter rules, particularly in humanities courses. Yale’s Executive Committee warned first-year students against using AI platforms like ChatGPT without attribution.

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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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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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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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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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