Experts debate when quantum computers could break modern encryption

Scientists are divided over when quantum computers will become powerful enough to break today’s digital encryption, a moment widely referred to as ‘Q–Day’.

While predictions range from just two years to several decades, experts agree that governments and companies must begin preparing urgently for a future where conventional security systems may fail.

Quantum computing uses subatomic behaviour to process data far faster than classical machines, enabling rapid decryption of information once considered secure.

Financial systems, healthcare data, government communications, and military networks could all become vulnerable as advanced quantum machines emerge.

Major technology firms have already made breakthroughs, accelerating concerns that encryption safeguards could be overwhelmed sooner than expected.

Several cybersecurity specialists warn that sensitive data is already being harvested and stored for future decryption, a strategy known as ‘harvest now, decrypt later’.

Regulators in the UK and the US have set timelines for shifting to post-quantum cryptography, aiming for full migration by 2030-2035. However, engineering challenges and unresolved technical barriers continue to cast uncertainty over the pace of progress.

Despite scepticism over timelines, experts agree that early preparation remains the safest approach. Experts stress that education, infrastructure upgrades, and global cooperation are vital to prevent disruption as quantum technology advances.

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AI-driven semiconductor expansion continues despite market doubts

The pace of the AI infrastructure boom continues to accelerate, with semiconductor supply chains signalling sustained long-term demand.

NVIDIA remains the most visible beneficiary as data centre investment drives record GPU purchases, yet supplier activity further upstream suggests confidence extends well beyond a single company.

ASML, the Dutch firm that exclusively supplies extreme ultraviolet lithography equipment, has emerged as a critical indicator of future chip production.

Its machines are essential for advanced semiconductor manufacturing, meaning strong performance reflects expectations of high chip volumes across the industry rather than short-term speculation. Quarterly earnings underline that momentum.

ASML reported €32.7 billion in net sales, while new bookings reached a record €13 billion, more than double the previous quarter.

New orders reflect how much capacity manufacturers expect to need, pointing to sustained expansion driven by anticipated AI workloads.

Company leadership attributed the surge directly to AI-related demand, with customers expressing growing confidence in the durability of data centre investment.

While order fulfilment will take years and some plans may change, industry signals suggest a slowdown in AI infrastructure spending is not imminent.

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Google faces new UK rules over AI summaries and publisher rights

The UK competition watchdog has proposed new rules that would force Google to give publishers greater control over how their content is used in search and AI tools.

The Competition and Markets Authority (CMA) plans to require opt-outs for AI-generated summaries and model training, marking the first major intervention under Britain’s new digital markets regime.

Publishers argue that generative AI threatens traffic and revenue by answering queries directly instead of sending users to the original sources.

The CMA proposal would also require clearer attribution of publisher content in AI results and stronger transparency around search rankings, including AI Overviews and conversational search features.

Additional measures under consultation include search engine choice screens on Android and Chrome, alongside stricter data portability obligations. The regulator says tailored obligations would give businesses and users more choice while supporting innovation in digital markets.

Google has warned that overly rigid controls could damage the user experience, describing the relationship between AI and search as complex.

The consultation runs until late February, with the outcome expected to shape how AI-powered search operates in the UK.

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AI’s growing role in environmental sustainability

AI is expanding rapidly, driving rising electricity and water consumption, which has fuelled concerns about environmental damage. Growth in data centres and intensive computing workloads is increasing pressure on global energy systems.

At the same time, AI is being deployed to reduce resource use and emissions across multiple industries. In agriculture, data-driven irrigation systems help farmers apply water more precisely, cutting waste while lowering the energy needed for pumping and distribution.

Efficiency gains are also visible in data centres, where intelligent systems manage workloads and cooling more effectively. Despite a sharp rise in global internet traffic, improvements in energy management have helped slow the growth of electricity consumption.

Energy companies, building operators and airlines are adopting AI to cut emissions and improve efficiency. From detecting methane leaks to optimising heating systems and flight routes, wider use of these technologies could help balance AI’s environmental costs with measurable climate benefits.

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Job cuts signal Pinterest’s deeper shift toward AI-powered products

Pinterest is cutting under 15% of its workforce as part of a broader restructuring aimed at shifting more investment toward AI-driven products and roles.

In a regulatory filing, the company said the changes are designed to support transformation initiatives, including reallocating resources to AI-focused teams and reshaping its sales and go-to-market strategy.

The restructuring will also include reductions in office space, with completion targeted for the end of September and expected pre-tax charges ranging from $35 million to $45 million.

Pinterest had around 5,200 employees at the end of last year, meaning the layoffs will affect several hundred staff as the platform accelerates its AI integration.

Recent launches such as AI-powered board updates and the Pinterest Assistant shopping tool reflect a wider trend across the tech sector, where companies are trimming headcount while expanding AI investment.

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AI project seeks major leap in diabetes care

A major research initiative led by the University of Virginia has secured $4.7 million to advance machine learning in Type 1 diabetes care.

The project, backed by Breakthrough T1D and the Helmsley Charitable Trust, aims to develop fully automated insulin systems that adapt continuously to patient needs.

The research will combine adaptive algorithms with ultra-rapid insulin to enable personalised glucose control without manual input. The University of Virginia will lead engineering and algorithm development, with clinical trials conducted across multiple US research centres.

At its core is an AI framework that learns from real-time data, adapting to metabolic changes, stress, and daily rhythms. Researchers aim to overcome the limitations of current automated insulin systems, which still rely on fixed parameters and regular user intervention.

The collaboration reflects a shift towards patient-centred AI, aiming to reduce daily diabetes management burdens while improving safety and quality of life. Developers say the technology could offer families greater freedom and long-term stability in managing chronic conditions.

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Canada’s Cyber Centre flags rising ransomware risks for 2025 to 2027

The national cyber authority of Canada has warned that ransomware will remain one of the country’s most serious cyber threats through 2027, as attacks become faster, cheaper and harder to detect.

The Canadian Centre for Cyber Security, part of Communications Security Establishment Canada, says ransomware now operates as a highly interconnected criminal ecosystem driven by financial motives and opportunistic targeting.

According to the outlook, threat actors are increasingly using AI and cryptocurrency while expanding extortion techniques beyond simple data encryption.

Businesses, public institutions and critical infrastructure in Canada remain at risk, with attackers continuously adapting their tactics, techniques and procedures to maximise financial returns.

The Cyber Centre stresses that basic cyber hygiene still provides strong protection. Regular software updates, multi-factor authentication and vigilance against phishing attempts significantly reduce exposure, even as attack methods evolve.

A report that also highlights the importance of cooperation between government bodies, law enforcement, private organisations and the public.

Officials conclude that while ransomware threats will intensify over the next two years, early warnings, shared intelligence and preventive measures can limit damage.

Canada’s cyber authorities say continued investment in partnerships and guidance remains central to building national digital resilience.

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TikTok struggles to stabilise US infrastructure after data centre outage

TikTok says recovery of its US infrastructure is progressing, although technical issues continue to affect parts of the platform after a data centre power outage.

The disruption followed the launch of a new US-based entity backed by American investors, a move aimed at avoiding a nationwide ban.

Users across the country reported problems with searches, video playback, posting content, loading comments and unexpected behaviour in the For You algorithm. TikTok said the outage also affected other apps and warned that slower load times and timeouts may persist, rather than returning to normal performance.

In a statement posted by the TikTok USDS Joint Venture, the company said collaboration with its US data centre partner has restored much of the infrastructure, but posting new content may still trigger errors.

Creators may also see missing views, likes, or earnings due to server timeouts rather than actual data loss.

TikTok has not named the data centre partner involved, while severe winter storms across the US may have contributed to the outage. Despite growing scepticism around the timing of the disruption, the company insists that user data and engagement remain secure.

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OpenAI prepares ad rollout inside free ChatGPT service

Advertising is set to be introduced within the free ChatGPT service, signalling a shift in how the platform will be monetised as its user base continues to expand rapidly. The move reflects OpenAI’s plans to turn widespread adoption into a sustainable revenue stream.

The company confirmed that ad testing will begin in the coming weeks, with sponsored content shown at the bottom of relevant ChatGPT responses. OpenAI said advertisements will be clearly labelled and separated from organic answers.

ChatGPT now serves more than 800 million users globally, most of whom currently access the service at no cost. Despite the high valuation, the company has continued to operate at a loss while expanding its infrastructure and AI capabilities.

Advertising represents OpenAI’s latest effort to diversify income beyond paid subscriptions and enterprise services. Sponsored recommendations will be shown only when products or services are deemed relevant to the user’s ongoing conversation.

The shift places OpenAI closer to traditional digital platform business models, raising broader questions about how commercial incentives may shape conversational AI systems as they become central gateways to online information.

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China’s AI battle heats up with Moonshot AI’s Kimi 2.5 upgrade

Moonshot AI has released an upgraded version of its Kimi model, intensifying competition among China’s leading AI developers. The launch comes ahead of an anticipated major release from rival DeepSeek.

The new model, K2.5, can process text, images, and video within a single prompt. Moonshot said the system improves performance across benchmarks and strengthens coding capabilities.

Several AI firms in China have rolled out upgrades in recent weeks. Companies including Alibaba, Zhipu, and MiniMax have introduced new models focused on reasoning, images, and robotics.

Investment has surged alongside the technology push. Moonshot recently raised $500 million, while rivals secured more than $1 billion through listings and funding rounds.

Analysts say the rapid pace highlights mounting pressure across the Chinese AI sector. Smaller developers are struggling to keep up with rising costs and the pace of innovation.

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