Artificial intelligence

AI Ultra users gain access to Gemini 3 Deep Think mode

Google has begun rolling out the Gemini 3 Deep Think mode to AI Ultra subscribers, offering enhanced reasoning for complex maths, science and logic tasks. The rollout follows last month’s preview during the Gemini 3 family release, allowing users to activate the mode directly within the Gemini app.

Deep Think builds on earlier Gemini 2.5 variants by utilising what Google refers to as parallel reasoning to test multiple hypotheses simultaneously. Early benchmark results show gains on structured problem-solving tasks, with improvements recorded on assessments such as Humanity’s Last Exam and ARC-AGI-2.

Subscribers can try the mode by selecting Deep Think in the prompt bar and choosing Gemini 3 Pro. Google states that the broader Gemini 3 upgrade enhances reliability when following lengthy instructions and reduces the need for repeated prompts during multi-step tasks.

Gemini 3 features stronger multimodal handling, enabling analysis of text, images, screenshots, PDFs and video. Capabilities include summarising lengthy material, interpreting detailed visuals and explaining graphs or charts with greater accuracy.

Larger context windows and improved planning support extended workflows such as research assistance and structured information management. Google describes Gemini 3 as its most secure model to date, with reinforced protections around sensitive or misleading queries.

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Son warns of vast AI leap as SoftBank outlines future risks

SoftBank chief Masayoshi Son told South Korean President Lee Jae Myung that advanced AI could surpass humans by an extreme margin. He suggested future systems may be 10,000 times more capable than people. The remarks came during a meeting in Seoul focused on national AI ambitions.

Son compared the potential intelligence gap to the difference between humans and goldfish. He said AI might relate to humans as humans relate to pets. Lee acknowledged the vision but admitted feeling uneasy about the scale of the described change.

Son argued that superintelligent systems would not threaten humans physically, noting they lack biological needs. He framed coexistence as the likely outcome. His comments followed renewed political interest in positioning South Korea as an AI leader.

The debate turned to cultural capability when Lee asked whether AI might win the Nobel Prize in Literature. Son said such an achievement was plausible. He pointed to fast-moving advances that continue to challenge expectations about machine creativity.

Researchers say artificial superintelligence remains theoretical, but early steps toward AGI may emerge within a decade. Many expect systems to outperform humans across a wide set of tasks. Policy discussions in South Korea reflect growing urgency around AI governance.

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AI advances turn sweat into a new health signal

Researchers in Australia are examining how sweat could support new forms of health monitoring. A recent study highlights its diagnostic potential when combined with machine learning, noting the appeal of simple, non-invasive collection for people already using wearables.

Early hydration patches show how sweat data is entering the sports and fitness space. Advances in microfluidics and flexible electronics have enabled thin, real-time sweat-sampling patches. UTS researchers say AI can extract useful biomarkers and deliver personalised insights for everyday tracking.

Experts say sweat remains underused despite carrying biological signals relevant to preventive care. UTS scientists point to gains from reading multiple biomarkers and sending data wirelessly for assessment. Improvements in pattern recognition now support more accurate interpretation.

Development work in Sydney, Australia, includes microfluidic devices that detect trace levels of glucose and cortisol. Most systems remain prototypes, yet commercial interest is increasing as companies explore non-invasive alternatives to blood-based testing.

The research team expects broader adoption as sensor accuracy improves. They anticipate wearables that monitor stress markers and help identify chronic conditions earlier, framing skin-based sensing combined with AI as a route to wider access to continuous health insights.

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UAE launches scholarship to develop future AI leaders

The UAE unveiled a scholarship programme to nurture future leaders in AI at MBZUAI. The initiative, guided by Sheikh Tahnoon bin Zayed, targets outstanding undergraduates beginning in the 2025 academic year.

Approximately 350 students will be supported over six years following a rigorous selection process. Applicants will be assessed for mathematical strength, leadership potential and entrepreneurial drive in line with national technological ambitions.

Scholars will gain financial backing alongside opportunities to represent the UAE internationally and develop innovative ventures. Senior officials said the programme strengthens the nation’s aim to build a world-class cohort of AI specialists.

MBZUAI highlighted its interdisciplinary approach that blends technical study with ethics, leadership and business education. Students will have access to advanced facilities, industry placements, and mentorships designed to prepare them for global technology roles.

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Pope urges guidance for youth in an AI-shaped world

Pope Leo XIV urged global institutions to guide younger generations as they navigate the expanding influence of AI. He warned that rapid access to information cannot replace the deeper search for meaning and purpose.

Previously, the Pope had warned students not to rely solely on AI for educational support. He encouraged educators and leaders to help young people develop discernment and confidence when encountering digital systems.

Additionally, he called for coordinated action across politics, business, academia and faith communities to steer technological progress toward the common good. He argued that AI development should not be treated as an inevitable pathway shaped by narrow interests.

He noted that AI reshapes human relationships and cognition, raising concerns about its effects on freedom, creativity and contemplation. He insisted that safeguarding human dignity is essential to managing AI’s wide-ranging consequences.

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GenAI gains ground as manufacturers overhaul shop-floor workflows

AI adoption in manufacturing is accelerating as generative tools are reshaping frontline roles. Many firms see connected worker platforms as a response to labour shortages and a draw for younger recruits. GenAI is emerging as a support layer that boosts productivity without displacing staff.

Operators face mixed training needs, language gaps and stricter safety demands. GenAI supports tailored instructions and smoother knowledge transfer, cutting documentation effort.

Retrieval is becoming more critical as factories digitise. Frontline teams need fast access to clear guidance across text, image and video formats. AI-enabled search interprets intent, reducing delays caused by navigating large content libraries.

Video-based guidance is rising in prominence as short-form media becomes a preferred way for younger workers to learn. AI can convert lengthy procedures into concise visual steps, while multilingual transcription expands accessibility for diverse teams across global operations.

The growing use of AI tools marks a shift toward more adaptive factory operations. Manufacturers view connected worker platforms as vital to competitiveness, with AI integration offering gains in engagement, safety and performance.

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Ireland and Australia deepen cooperation on online safety

Ireland’s online safety regulator has agreed a new partnership with Australia’s eSafety Commissioner to strengthen global approaches to digital harm. The Memorandum of Understanding (MoU) reinforces shared ambitions to improve online protection for children and adults.

The Irish and Australian plan to exchange data, expertise and methodological insights to advance safer digital platforms. Officials describe the arrangement as a way to enhance oversight of systems used to minimise harmful content and promote responsible design.

Leaders from both organisations emphasised the need for accountability across the tech sector. Their comments highlighted efforts to ensure that platforms embed user protection into their product architecture, rather than relying solely on reactive enforcement.

The MoU also opens avenues for collaborative policy development and joint work on education programs. Officials expect a deeper alignment around age assurance technologies and emerging regulatory challenges as online risks continue to evolve.

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NSA warns AI poses new risks for operational technology

The US National Security Agency (NSA), together with international partners including Australia’s ACSC, has issued guidance on the secure integration of AI into operational technology (OT).

The Principles for the Secure Integration of AI in OT warn that while AI can optimise critical infrastructure, it also introduces new risks for safety-critical environments. Although aimed at OT administrators, the guidance also highlights issues relevant to IT networks.

AI is increasingly deployed in sectors such as energy, water treatment, healthcare, and manufacturing to automate processes and enhance efficiency.

The NSA’s guidance, however, flags several potential threats, including adversarial prompt injection, data poisoning, AI drift, and reduced explainability, all of which can compromise safety and compliance.

Over-reliance on AI may also lead to human de-skilling, cognitive overload, and distraction, while AI hallucinations raise concerns about reliability in safety-critical settings.

Experts emphasise that AI cannot currently be trusted to make independent safety decisions in OT networks, where the margin for error is far smaller than in standard IT systems.

Sam Maesschalck, an OT engineer, noted that introducing AI without first addressing pre-existing infrastructure issues, such as insufficient data feeds or incomplete asset inventories, could undermine both security and operational efficiency.

The guidance aims to help organisations evaluate AI risks, clarify accountability, and prepare for potential misbehaviour, underlining the importance of careful planning before deploying AI in operationally critical environments.

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LLM shortcomings highlighted by Gary Marcus during industry debate

Gary Marcus argued at Axios’ AI+ Summit that large language models (LLMs) offer utility but fall short of the transformative claims made by their developers. He framed their fundamental role as groundwork for future artificial general intelligence. He suggested that meaningful capability shifts lie beyond today’s systems.

Marcus said alignment challenges stem from LLMs lacking robust world models and reliable constraints. He noted that models still hallucinate despite explicit instructions to avoid errors. He described current systems as an early rehearsal rather than a route to AGI.

Concerns raised included bias, misinformation, environmental impact and implications for education. Marcus also warned about the decline of online information quality as automated content spreads. He believes structural flaws make these issues persistent.

Industry momentum remains strong despite unresolved risks. Developers continue to push forward without clear explanations for model behaviour. Investment flows remain focused on the promise of AGI, despite timelines consistently shifting.

Strategic competition adds pressure, with the United States seeking to maintain an edge over China in advanced AI. Political signals reinforce the drive toward rapid development. Marcus argued that stronger frameworks are needed before systems scale further.

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Google drives health innovation through new EU AI initiative

At the European Health Summit in Brussels, Google presented new research suggesting that AI could help Europe overcome rising healthcare pressures.

The report, prepared by Implement Consulting Group for Google, argues that scientific productivity is improving again, rather than continuing a long period of stagnation. Early results already show shorter waiting times in emergency departments, offering practitioners more space to focus on patient needs.

Momentum at the Summit increased as Google announced new support for AI adoption in frontline care.

Five million dollars from Google.org will fund Bayes Impact to launch an EU-wide initiative known as ‘Impulse Healthcare’. The programme will allow nurses, doctors and administrators to design and test their own AI tools through an open-source platform.

By placing development in the hands of practitioners, the project aims to expand ideas that help staff reclaim valuable time during periods of growing demand.

Successful tools developed at a local level will be scaled across the EU, providing a path to more efficient workflows and enhanced patient care.

Google views these efforts as part of a broader push to rebuild capacity in Europe’s health systems.

AI-assisted solutions may reduce administrative burdens, support strained workforces and guide decisions through faster, data-driven insights, strengthening everyday clinical practice.

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