ai

Entry-level jobs vanish as AI rises

Generative AI is reshaping the job market by reducing the need for entry-level positions, particularly in white-collar industries. Analysts warn that young workers are losing the opportunity to acquire skills through traditional on-the-job experience, which has historically paved the way for promotions.

Employers are drawn to AI for its efficiency, as it can complete tasks in a fraction of the time it once took human teams. This shift poses a threat to the traditional career ladder, resulting in a shortage of trained candidates for senior and managerial roles in the years to come.

Young professionals can counter these trends by acquiring practical AI skills, even outside of technology sectors. Combining human strengths, such as strategic thinking, with AI proficiency may help early-career workers remain competitive and adapt to evolving workplace demands.

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New NVIDIA model drives breakthroughs in conservation biology

Researchers have introduced a biology foundation model that can recognise over a million species and understand relationships across the animal and plant kingdoms.

BioCLIP 2 was trained on one of the most extensive biological datasets ever compiled, allowing it to identify traits, cluster organisms and reveal patterns that support conservation efforts.

A model that relies on NVIDIA accelerated computing instead of traditional methods and demonstrates what large-scale biological learning can achieve.

Training drew on more than two hundred million images that cover hundreds of thousands of taxonomic classes. The AI model learned how species fit within wider biological hierarchies and how traits differ across age, gender and related groups without explicit guidance.

It even separated diseased leaves from healthy samples, offering a route to improved monitoring of ecosystems and agricultural resilience.

Scientists now plan to expand the project by utilising wildlife digital twins that simulate ecological systems in controlled environments.

Researchers will be able to study species interactions and test scenarios instead of disturbing natural habitats. The approach opens possibilities for richer ecological research and could offer the public immersive ways to view biodiversity from the perspective of different animals.

BioCLIP 2 is available as open-source software and has already attracted strong global interest. Its capabilities indicate a shift toward more advanced biological modelling powered by accelerated computing, providing conservationists and educators with new tools to address long-standing knowledge gaps.

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GPT‑5 expands research speed and idea generation for scientists

AI technology is increasingly helping scientists accelerate research across fields including biology, mathematics, physics, and computer science. Early GPT‑5 studies show it can synthesise information, propose experiments, and aid in solving long-standing mathematical problems.

Experts note the technology expands the range of ideas researchers can explore and shortens the time to validate results.

Case studies demonstrate tangible benefits: in biology, GPT‑5 helped identify mechanisms in human immune cells within minutes, suggesting experiments that confirmed the results.

In mathematics, GPT‑5 suggested new approaches, and in optimisation, it identified improved solutions later verified by researchers.

These advances reinforce human-led research rather than replacing it.

OpenAI for Science emphasises collaboration between AI and experts. GPT‑5 excels at conceptual literature review, exploring connections across disciplines, and proposing hypotheses for experimental testing.

Its greatest impact comes when researchers guide the process, breaking down problems, critiquing suggestions, and validating outcomes.

Researchers caution that AI does not replace human expertise. Current models aid speed, idea generation, and breadth, but expert oversight is essential to ensure reliable and meaningful scientific contributions.

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AI data centre boom drives global spike in memory chip prices

The rapid expansion of AI data centres is pushing up memory chip prices and straining an already tight supply chain. DRAM costs are rising as manufacturers prioritise high-bandwidth memory for AI systems, leaving fewer components available for consumer devices.

The shift is squeezing supply across sectors that depend on standard DRAM, from PCs and smartphones to cars and medical equipment. Analysts say the imbalance is driving up component prices quickly, with Samsung reportedly raising some memory prices by as much as 60%.

Rising demand for HBM reflects the needs of AI clusters, which rely on vast memory pools alongside GPUs, CPUs and storage. But with only a handful of major suppliers, including Samsung, SK Hynix, and Micron, the surge is pushing prices across the market higher.

Industry researchers warn that rising memory costs will likely be passed on to consumers, especially in lower-priced laptops and embedded systems. Makers may switch to cheaper parts or push suppliers for concessions, but the overall price trend remains upward.

While memory is known for cyclical booms and busts, analysts say the global race to build AI data centres makes it difficult to predict when supply will stabilise. Until then, higher memory prices look set to remain a feature of the market.

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Google launches Nano Banana Pro image model

Google has launched Nano Banana Pro, a new image generation and editing model built on Gemini 3 Pro. The upgrade expands Gemini’s visual capabilities inside the Gemini app, Google Ads, Google AI Studio, Vertex AI and Workspace tools.

Nano Banana Pro focuses on cleaner text rendering, richer world knowledge and tighter control over style and layout. Creators can produce infographics, diagrams and character consistent scenes, and refine lighting, camera angle or composition with detailed prompts.

The AI model supports higher resolution visuals, localised text in multiple languages and more accurate handling of complex scripts. Google highlights uses in marketing materials, business presentations and professional design workflows, as partners such as Adobe integrate the model into Firefly and Photoshop.

Users can try Nano Banana Pro through Gemini with usage limits, while paying customers and enterprises gain extended access. Google embeds watermarking and C2PA-style metadata to help identify AI-generated images, foregrounding safety and transparency around synthetic content.

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Smart glasses by Meta transform life for disabled users

Meta has presented a new generation of AI glasses designed to increase independence for people with disabilities. The devices support hands-free calls, messages and translations while offering voice-activated photography and video capture.

Users can rely on spoken prompts instead of phones when they want to explore their surroundings or capture important moments.

The glasses help blind and low-vision individuals identify objects, read documents and understand scenes through detailed AI descriptions. Meta partnered with the Blinded Veterans Association to produce a training guide that explains how to activate voice commands and manage daily tasks more easily.

Veterans Affairs rehabilitation centres have adopted the glasses to support people who need greater autonomy in unfamiliar environments.

Creators and athletes describe how the technology influences their work and daily activities. A filmmaker uses first-person recording and AI-assisted scene guidance to streamline production. A Paralympic sprinter relies on real-time updates to track workouts without pausing to check a phone.

Other users highlight how hands-free photography and environmental awareness allow them to stay engaged instead of becoming distracted by screens.

Meta emphasises its collaboration with disabled communities to shape features that reflect diverse needs. The company views AI glasses as a route to improved participation, stronger confidence and wider digital access.

An approach that signals a long-term commitment to wearable technology that supports inclusion in everyday life.

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OpenAI Academy supports small firms with AI training

OpenAI Academy is running a US nationwide Small Business AI Jam for more than 1,000 owners. Workshops in San Francisco, New York, Detroit, Houston and Miami give practical help using AI to handle everyday tasks.

Participants from restaurants, retailers, professional services and creative firms work alongside mentors to build tailored AI tools. Typical projects include marketing assistants, customer communication helpers and organisers for bookings, stock or paperwork. Everyone leaves with at least one ready to use workflow.

A survey for OpenAI found around half of small business leaders want staff comfortable with AI. About sixty percent expect clear efficiency gains when employees have those skills, from faster content writing to smoother operations.

Only available in the US, owners gain access to an online academy hub before and after the in person events. Follow up offers a virtual jam on 4 December, office hours, and links to an AI for Main Street certification track and jobs platform.

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Legal action targets Uber AI pay model

Uber has been confronted with legal demands to halt the use of its AI-driven pay systems after accusations that they have reduced driver incomes.

Worker Info Exchange, a non-profit foundation, alleges that the ride-hailing firm breached European data protection laws by varying pay through algorithms.

Research conducted in partnership with Oxford University indicates many drivers earn less per hour since Uber introduced dynamic pricing in 2023, which adjusts pay and fares based on demand.

The findings suggest that the average hourly wage has stagnated and declined in real terms compared to previous models.

The foundation argues that Uber trained its algorithms using drivers’ historical personal data and demands a return to transparent, human-monitored pay setting.

If the company does not comply, WIE plans to bring collective proceedings before Amsterdam’s district court under Dutch collective redress laws.

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NVIDIA AI transforms smart cities

Cities worldwide face increasing operational challenges as populations grow and infrastructure becomes strained. Traffic congestion, emergency response coordination, and fragmented data pipelines make it difficult for local authorities to obtain real-time insights for effective decision-making.

NVIDIA’s Blueprint for smart city AI, combined with OpenUSD digital twins, allows cities to simulate complex scenarios and generate accurate sensor data.

These digital twins enable authorities to test urban systems, train vision AI models, and deploy real-time AI agents for tasks such as video analytics, emergency response, and traffic monitoring.

Several cities and organisations have adopted these technologies with measurable results. Kaohsiung City reduced incident response times by 80%, Raleigh achieved 95% vehicle detection accuracy, and French rail networks cut energy use by 20%.

Applications range from optimising rail operations to automating street inspections and video review.

By integrating AI-driven insights into city management, authorities can shift from reactive measures to proactive operations. Simulation, monitoring, and analysis tools improve infrastructure planning, enhance efficiency, and allow urban systems to respond dynamically to emerging situations.

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Creative industries seek rights protection amid AI surge

British novelists are raising concerns that AI could replace their work, with nearly half saying the technology could ‘entirely replace’ them. The MCTD survey of 332 authors found deep unease about the impact of generative tools trained on vast fiction datasets.

About 97% of novelists expressed intense negativity towards the idea of AI writing complete novels, while around 40% said their income from related work had already suffered. Many authors have reported that their work has been used to train large language models without their permission or payment.

While 80 % agreed AI offers societal benefits, authors called for better protections, including copyright reform and consent-based use of their work. MCTD Executive Director Prof. Gina Neff stressed that creative industries are not expendable in the AI race.

A UK government spokesperson said collaboration between the AI sector and creative industries is vital, with a focus on innovation and protection for creators. But writers say urgent action is needed to ensure their rights are upheld.

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