Artificial intelligence

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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Meta offers Llama AI to US allies amid global tech race

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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AI transforms software development according to DORA 2025 report

Google Cloud’s 2025 DORA Report reveals widespread AI adoption among software developers. The report surveyed nearly 5,000 professionals and found that AI adoption in software development has reached 90%, with many using it around two hours daily.

The findings reveal clear benefits: over 80% of respondents report increased productivity, and 59% say AI improves code quality. Yet the research also identifies a ‘trust paradox’: while AI is widely used, only 24% of developers firmly trust it.

Many continue to use AI as a supportive tool rather than a complete replacement for human judgement.

Organisational effects of AI are more nuanced. Teams using AI release more software and applications, boosting delivery throughput, but ensuring quality remains challenging.

AI acts as both a ‘mirror and a multiplier,’ enhancing efficiency in cohesive teams while exposing weaknesses in fragmented ones. Seven team archetypes provide a human-centric view of performance, well-being and AI adoption.

The report also presents the DORA AI Capabilities Model, detailing seven key factors for maximizing AI impact. Productivity gains need more than adoption; culture, processes and systems must evolve to harness AI fully.

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Spanish joins Google’s global AI Mode expansion

Google is rapidly expanding AI Mode, its generative AI-powered search assistant. The company has announced that the feature is now rolling out globally in Spanish. Spanish speakers can now interact with AI Mode to ask complex questions that traditional Search handles poorly.

AI Mode has seen swift adoption since its launch earlier this year. First introduced in March, the feature was rolled out to users across the US in May, followed by its first language expansion earlier this month.

Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese were the first languages added, and Spanish now joins the list. Google says more languages will follow soon as part of its global AI Mode rollout.

Google says the feature is designed to work alongside Search, not replace it, offering conversational answers with links to supporting sources. The company has stressed that responses are generated with safety filters and fact-checking layers.

The rollout reflects Google’s broader strategy to integrate generative AI into its ecosystem, spanning Search, Workspace, and Android. AI Mode will evolve with multimodal support and tighter integration with other Google services.

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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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Alibaba unveils next-gen AI models and $53 billion infrastructure expansion

Just as Nvidia announced plans to spend $100 billion building out OpenAI’s infrastructure, Alibaba is doubling its ambitions, rolling out a powerful suite of AI models and expanding its data centres to support them.

At its annual Apsara Conference in Beijing, Alibaba unveiled Qwen3-Omni, a multimodal model capable of analysing text, images, audio, and video in real time. Released under an open Apache 2.0 license, businesses can freely download and deploy the system, setting it apart from closed, pay-to-use rivals like Google’s Gemini 2.5 Pro and OpenAI’s GPT-4o.

The company also introduced Qwen3-Max, its most advanced large language model yet, boasting over a trillion parameters. Alibaba executives say it shows particular strength in code generation and autonomous decision-making, enabling AI systems to act more independently than traditional chatbots. Benchmark tests indicate it outperforms models from Anthropic and DeepSeek in some areas.

What makes Qwen3-Omni unique is its architecture. Instead of adding vision or speech to a text-first system, it integrates all modalities from the ground up. The model is available in three versions, Instruct, Thinking, and Captioner, and can generate text and audio with low latency, outperforming rivals on reasoning, transcription, and video analysis.

Practical applications range from customer support tools that can analyse live video feeds of malfunctioning appliances to interactive assistants for virtual reality environments. Developers can fine-tune personality and style, from consumer services to enterprise transcription, adapting the system for industries.

Supporting these breakthroughs is a sweeping expansion of Alibaba’s infrastructure footprint. The firm plans to open its first data centres in Brazil, France, and the Netherlands, adding facilities in Mexico, Japan, South Korea, Malaysia, and Dubai. All this comes from an earlier pledge to invest $53 billion over three years into AI-related infrastructure.

By coupling record-setting AI models with a global data centre buildout, Alibaba is signalling it intends to compete head-to-head with US leaders. With open licensing, massive infrastructure spending, and technical performance that matches or surpasses its Western rivals, China’s e-commerce titan is making a bold play to reshape the global AI landscape.

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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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