Future of work

3D figurine craze takes off with Google Gemini update

Google’s Gemini latest update has sparked a social media craze by allowing users to transform 2D photos into lifelike 3D figurines. The feature, part of Gemini 2.5 Flash Image, has quickly become the standout trend from the update.

Instead of serving as a photo-editing tool, Gemini now helps users turn selfies, portraits, and pet photos into stylized statuettes. The images resemble collectable vinyl or resin figures, with smooth finishes and polished detailing.

The digital figurine trend blends personalisation with creativity, allowing users to reimagine themselves or loved ones as miniature display pieces. The playful results have been widely shared across platforms, driving renewed engagement with Google’s AI suite.

The figurine generator also complements Gemini’s other creative functions, such as image combination and style transformation, which allow users to experiment with entirely new aesthetics. Together, these tools extend Gemini’s appeal beyond simple photo correction.

While other platforms have offered 3D effects, Gemini’s version produces highly polished results in seconds, democratising what was once a niche 3D modelling skill. For many, it is the most accessible way to turn memories into digital art.

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Study reveals why humans adapt better than AI

A new interdisciplinary study from Bielefeld University and other leading institutions explores why humans excel at adapting to new situations while AI systems often struggle. Researchers found humans generalise through abstraction and concepts, while AI relies on statistical or rule-based methods.

The study proposes a framework to align human and AI reasoning, defining generalisation, how it works, and how it can be assessed. Experts say differences in generalisation limit AI flexibility and stress the need for human-centred design in medicine, transport, and decision-making.

Researchers collaborated across more than 20 institutions, including Bielefeld, Bamberg, Amsterdam, and Oxford, under the SAIL project. The initiative aims to develop AI systems that are sustainable, transparent, and better able to support human values and decision-making.

Interdisciplinary insights may guide the responsible use of AI in human-AI teams, ensuring machines complement rather than disrupt human judgement.

The findings underline the importance of bridging cognitive science and AI research to foster more adaptable, trustworthy, and human-aligned AI systems capable of tackling complex, real-world challenges.

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UN to train governments in blockchain and AI

The UN Development Programme (UNDP) plans to launch a ‘Government Blockchain Academy’ next year to educate public sector officials on blockchain, AI, and other emerging technologies.

The initiative aims to help governments leverage tech for economic growth and sustainable development.

The academy will partner with the Exponential Science Foundation, a non-profit promoting blockchain and AI. Training will cover financial services, digital IDs, public procurement, smart contracts, and climate finance to help governments boost transparency, inclusion, and resilience.

UNDP officials highlighted that developing countries, including India, Pakistan, and Vietnam, are already among the leading adopters of crypto technology.

The academy will provide in-person and online courses, workshops, and forums to guide high-impact blockchain initiatives aligned with national priorities.

The programme follows last year’s UNDP blockchain academy, created in partnership with the Algorand Foundation, which trained over 22,000 staff members to support sustainable growth projects in participating countries.

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Hong Kong to speed up tech hub plan with China

One of S.A.R. of China, Hong Kong, is preparing to accelerate its cross-border technology hub plans with mainland China as the city seeks new growth drivers to offset its fragile economy.

Chief Executive John Lee is set to deliver his annual policy address on Wednesday, with the Northern Metropolis project expected to take centre stage.

The initiative aims to transform a sparsely populated area into a base for advanced industries and innovation, while reducing reliance on finance and real estate.

According to state-owned media, the government will ease financing rules to attract companies in AI, renewable energy and medical technology.

An urgency that comes despite signs of recovery, as the economy of Hong Kong grew at its fastest pace in over a year last quarter. Yet home prices continue to fall, unemployment has risen, and public finances remain stretched.

The administration is unlikely to offer sweeping property incentives, such as tax cuts or looser rules for mainland buyers, given fiscal constraints. Instead, it may revive the long-dormant Tenants Purchase Scheme, first launched in 1998, which allows public housing tenants to buy their flats at reduced prices.

Analysts say that without bold reforms, the housing market will stay under pressure as oversupply and weak sentiment weigh on values.

Hong Kong’s $7.2 trillion stock market could benefit if new listings and inflows are encouraged, especially as developers look to stimulus and lower mortgage rates to support sales.

However, with the economy of China also slowing down, doubts remain over whether deeper integration and technology investments can provide a lasting boost.

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AI search tools challenge Google’s dominance

AI tools are increasingly reshaping how people search online, with large language models like ChatGPT drawing millions away from traditional engines.

Montreal-based lawyer and consultant Anja-Sara Lahady says she now turns to ChatGPT instead of Google for everyday tasks such as meal ideas, interior decoration tips and drafting low-risk emails. She describes it as a second assistant rather than a replacement for legal reasoning.

ChatGPT’s weekly user base has surged to around 800 million, double the figure reported in 2025. Data shows that nearly 6% of desktop searches are already directed to language models, compared with barely half that rate a year ago.

Academics such as Professor Feng Li argue that users favour AI tools because they reduce cognitive effort by providing clear summaries instead of multiple links. However, he warns that verification remains essential due to factual errors.

Google insists its search activity continues to expand, supported by AI Overviews and AI Mode, which offer more conversational and tailored answers.

Yet, testimony in a US antitrust case revealed that Google searches on Apple devices via Safari declined for the first time in two decades, underlining the competitive pressure from AI.

The rise of language models is also forcing a shift in digital marketing. Agencies report that LLMs highlight trusted websites, press releases and established media rather than social media content.

This change may influence consumer habits, with evidence suggesting that referrals from AI systems often lead to higher-quality sales conversions. For many users, AI now represents a faster and more personal route to decisions on products, travel or professional tasks.

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Codex gets smarter with GPT-5, targets GitHub Copilot and rivals

OpenAI has optimised its new GPT-5 model for Codex, its agentic software development tool, boosting performance on both quick coding sessions and long, complex projects. CEO Sam Altman said Codex already accounts for 40% of platform traffic.

GPT-5 Codex can now build full projects, add features, run tests, refactor large codebases, and conduct detailed code reviews. It dynamically adjusts the time spent ‘thinking’ based on task complexity, allowing both interactive pair programming and extended autonomous work.

OpenAI stated that the model can run independently for over seven hours, completing refactorings, fixing test failures, and delivering finished code. Early tests indicate that it catches critical bugs more reliably, allowing developers to focus on the most important issues.

The upgraded Codex is available via terminal, IDE integrations, the web, and GitHub, and comes bundled with ChatGPT Plus, Pro, Business, Edu, and Enterprise subscriptions. OpenAI launched Codex CLI in April and a research preview in May.

With GPT-5 Codex, OpenAI aims to capture market share from GitHub Copilot, Google’s Gemini, Anthropic’s Claude, and startups such as Anysphere and Windsurf. The company claims the new version delivers faster, higher-quality results for developers at every stage of the software lifecycle.

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UK to benefit from Google’s £5 billion AI plan

Google has unveiled plans to invest £5 billion (around $6.8 billion) in the UK’s AI economy over the next two years.

An announcement comes just hours before US President Donald Trump’s official visit to the country, during which economic agreements worth more than $10 billion are expected.

The investment will include establishing a new AI data centre in Waltham Cross, Hertfordshire, designed to meet growing demand for services like Google Cloud.

Alongside the facility, funds will be channelled into research and development, capital expenditure, engineering, and DeepMind’s work applying AI to science and healthcare. The project is expected to generate 8,250 annual jobs for British companies.

Google also revealed a partnership with Shell to support grid stability and contribute to the UK’s energy transition. The move highlights the economic and environmental stakes tied to AI expansion, as the UK positions itself as a hub for advanced digital technologies.

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Google lays off over 200 AI contractors amid union tensions

The US tech giant, Google, has dismissed over 200 contractors working on its Gemini chatbot and AI Overviews tool. However, this sparks criticism from labour advocates and claims of retaliation against workers pushing for unionisation.

Many affected staff were highly trained ‘super raters’ who helped refine Google’s AI systems, yet were abruptly laid off.

The move highlights growing concerns over job insecurity in the AI sector, where companies depend heavily on outsourced and low-paid contract workers instead of permanent employees.

Workers allege they were penalised for raising issues about inadequate pay, poor working conditions, and the risks of training AI that could eventually replace them.

Google has attempted to distance itself from the controversy, arguing that subcontractor GlobalLogic handled the layoffs rather than the company itself.

Yet critics say that outsourcing allows the tech giant to expand its AI operations without accountability, while undermining collective bargaining efforts.

Labour experts warn that the cuts reflect a broader industry trend in which AI development rests on precarious work arrangements. With union-busting claims intensifying, the dismissals are now seen as part of a deeper struggle over workers’ rights in the digital economy.

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Telecom industry outlines vision for secure 6G

Telecom experts say 6G must be secure by design as planning for the next generation of mobile networks accelerates.

Industry leaders warn that 6G will vastly expand the attack surface, with autonomous vehicles, drones, industrial robots and AR systems all reliant on ultra-low latency connections. AI will be embedded at every layer, creating opportunities for optimisation but also new risks such as model poisoning.

Quantum threats are also on the horizon, with adversaries potentially able to decrypt sensitive data. Quantum-resistant cryptography is expected to be a cornerstone of 6G defences.

With standards due by 2029, experts stress cooperation among regulators, equipment vendors and operators. Security, they argue, must be as fundamental to 6G as speed and sustainability.

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Lumex chips bring advanced AI to mobile devices

Arm Holdings has unveiled Lumex, its next-generation chip designs built to bring advanced AI performance directly to mobile devices.

The new designs range from highly energy-efficient chips for wearables to high-performance versions capable of running large AI models on smartphones without cloud support.

Lumex forms part of Arm’s Compute Subsystems business, offering handset makers pre-integrated designs, while also strengthening Arm’s broader strategy to expand smartphone and data centre revenues.

The chips are tailored for 3-nanometre manufacturing processes provided by suppliers such as TSMC, whose technology is also used in Apple’s latest iPhone chips. Arm has indicated further investment in its own chip development to capitalise on demand.

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