Digital standards

Co-op confirms massive data breach as retail cyberattacks surge

All 6.5 million members of the Co-op had their personal data compromised in a cyberattack carried out on 30 April, the company’s chief executive has confirmed.

Shirine Khoury-Haq said the breach felt ‘personal’ after seeing the toll it took on IT teams fighting off the intrusion. She spoke in her first interview since the breach, broadcast on BBC Breakfast.

Initial statements from the Co-op described the incident as having only a ‘small impact’ on internal systems, including call centres and back-office operations.

Alleged hackers soon contacted media outlets and claimed to have accessed both employee and customer data, prompting the company to update its assessment.

The Co-op later admitted that data belonging to a ‘significant number’ of current and former members had been stolen. Exposed information included names, addresses, and contact details, though no payment data was compromised.

Restoration efforts are still ongoing as the company works to rebuild affected back-end systems. In some locations, operational disruption led to empty shelves and prolonged outages.

Khoury-Haq recalled meeting employees during the remediation phase and said she was ‘incredibly sorry’ for the incident. ‘I will never forget the looks on their faces,’ she said.

The attackers’ movements were closely tracked. ‘We were able to monitor every mouse click,’ Khoury-Haq added, noting that this helped authorities in their investigation.

The company reportedly disconnected parts of its network in time to prevent ransomware deployment, though not in time to avoid significant damage. Police said four individuals were arrested earlier this month in connection with the Co-op breach and related retail incidents. All have been released on bail.

Marks & Spencer and Harrods were also hit by cyberattacks in early 2025, with M&S still restoring affected systems. Researchers believe the same threat actor is responsible for all three attacks.

The group, identified as Scattered Spider, has previously disrupted other high-profile targets, including major US casinos in 2023.

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How to keep your data safe while using generative AI tools

Generative AI tools have become a regular part of everyday life, both professionally and personally. Despite their usefulness, concern is growing about how they handle private data shared by users.

Major platforms like ChatGPT, Claude, Gemini, and Copilot collect user input to improve their models. Much of this data handling occurs behind the scenes, raising transparency and security concerns.

Anat Baron, a generative AI expert, compares AI models to Pac-Man—constantly consuming data to enhance performance. The more information they receive, the more helpful they become, often at the expense of privacy.

Many users ignore warnings not to share sensitive information. Baron advises against sharing anything with AI that one would not give to a stranger, including ID numbers, financial data, and medical results.

Some platforms offer options to reduce data collection. ChatGPT users can disable training under ‘Data Controls’, while Claude collects data only if users opt in. Perplexity and Gemini offer similar, though less transparent, settings.

Microsoft’s Copilot protects organisational data when logged in, but risks increase when used anonymously on the web. DeepSeek, however, collects user data automatically with no opt-out—making it a risky choice.

Users still retain control, but must remain alert. AI tools are evolving, and with digital agents on the horizon, safeguarding personal information is becoming even more critical. Baron sums it up simply: ‘Privacy always comes at a cost. We must decide how much we’re willing to trade for convenience.’

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ChatGPT stuns users by guessing object in viral video using smart questions

A video featuring ChatGPT Live has gone viral after it correctly guessed an object hidden in a user’s hand using only a series of questions.

The clip, shared on the social media platform X, shows the chatbot narrowing down its guesses until it lands on the correct answer — a pen — within less than a minute. The video has fascinated viewers by showing how far generative AI has come since its initial launch.

Multimodal AI like ChatGPT can now process audio, video and text together, making interactions more intuitive and lifelike.

Another user attempted the same challenge with Gemini AI by holding an AC remote. Gemini described it as a ‘control panel for controlling temperature’, which was close but not entirely accurate.

The fun experiment also highlights the growing real-world utility of generative AI. During Google’s I/O conference during the year, the company demonstrated how Gemini Live can help users troubleshoot and repair appliances at home by understanding both spoken instructions and visual input.

Beyond casual use, these AI tools are proving helpful in serious scenarios. A UPSC aspirant recently explained how uploading her Detailed Application Form to a chatbot allowed it to generate practice questions.

She used those prompts to prepare for her interview and credited the AI with helping her boost her confidence.

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New AI device brings early skin cancer diagnosis to remote communities

A Scottish research team has developed a pioneering AI-powered tool that could transform how skin cancer is diagnosed in some of the world’s most isolated regions.

The device, created by PhD student Tess Watt at Heriot-Watt University, enables rapid diagnosis without needing internet access or direct contact with a dermatologist.

Patients use a compact camera connected to a Raspberry Pi computer to photograph suspicious skin lesions.

The system then compares the image against thousands of preloaded examples using advanced image recognition and delivers a diagnosis in real time. These results are then shared with local GP services, allowing treatment to begin without delay.

The self-contained diagnostic system is among the first designed specifically for remote medical use. Watt said that home-based healthcare is vital, especially with growing delays in GP appointments.

The device, currently 85 per cent accurate, is expected to improve further with access to more image datasets and machine learning enhancements.

The team plans to trial the tool in real-world settings after securing NHS ethical approval. The initial rollout is aimed at rural Scottish communities, but the technology could benefit global populations with poor access to dermatological care.

Heriot-Watt researchers also believe the device will aid patients who are infirm or housebound, making early diagnosis more accessible than ever.

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Perplexity CEO predicts that AI browser could soon replace recruiters and assistants

Perplexity AI CEO Aravind Srinivas believes that the company’s new AI-powered browser, Comet, could soon replace two key white-collar roles in most offices: recruiters and executive assistants.

Speaking on The Verge podcast, Srinivas explained that with the integration of more advanced reasoning models like GPT-5 or Claude 4.5, Comet will be able to handle tasks traditionally assigned to these positions.

He also described how a recruiter’s week-long workload could be reduced to a single AI prompt.

From sourcing candidates to scheduling interviews, tracking responses in Google Sheets, syncing calendars, and even briefing users ahead of meetings, Comet is built to manage the entire process—often without any follow-up input.

The tool remains in an invite-only phase and is currently available to premium users.

Srinivas also framed Comet as the early foundation of a broader AI operating system for knowledge workers, enabling users to issue natural language commands for complex tasks.

He emphasised the importance of adopting AI early, warning that those who fail to keep pace with the technology’s rapid growth—where breakthroughs arrive every few months—risk being left behind in the job market.

In a separate discussion, he urged younger generations to reduce time spent scrolling on Instagram and instead focus on mastering AI tools. According to him, the shift is inevitable, and those who embrace it now will hold a long-term professional advantage.

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DuckDuckGo adds new tool to block AI-generated images from search results

Privacy-focused search engine DuckDuckGo has launched a new feature that allows users to filter out AI-generated images from search results.

Although the company admits the tool is not perfect and may miss some content, it claims it will significantly reduce the number of synthetic images users encounter.

The new filter uses open-source blocklists, including a more aggressive ‘nuclear’ option, sourced from tools like uBlock Origin and uBlacklist.

Users can access the setting via the Images tab after performing a search or use a dedicated link — noai.duckduckgo.com — which keeps the filter always on and also disables AI summaries and the browser’s chatbot.

The update responds to growing frustration among internet users. Platforms like X and Reddit have seen complaints about AI content flooding search results.

In one example, users searching for ‘baby peacock’ reported seeing just as many or more AI images than real ones, making it harder to distinguish between fake and authentic content.

DuckDuckGo isn’t alone in trying to tackle unwanted AI material. In 2024, Hiya launched a Chrome extension aimed at spotting deepfake audio across major platforms.

Microsoft’s Bing has also partnered with groups like StopNCII to remove explicit synthetic media from its results, showing that the fight against AI content saturation is becoming a broader industry trend.

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Isambard-AI launch brings Britain closer to AI breakthroughs

The UK’s most powerful AI supercomputer, Isambard-AI, has officially launched in Bristol. Developed with HPE and NVIDIA, the £225 million system marks a major step in national research capability.

It can compute in one second what the global population would take 80 years to process. Housed at the National Composites Centre, it aims to drive breakthroughs in healthcare, robotics, climate science and more.

Built by the University of Bristol’s Centre for Supercomputing, the machine is part of the UK Government’s AI Research Resource (AIRR) and was launched by Science Secretary Peter Kyle.

Alongside the Dawn supercomputer in Cambridge, Isambard-AI will deliver 23 AI ExaFLOPs — equal to the UK population working non-stop for 85,000 years. It is 100,000 times faster than an average laptop and supports drug discovery, personalised medicine and advanced data analysis.

Powered by 5,400 Nvidia GH200 Grace Hopper Superchips and HPE’s Cray EX platform, it is among the greenest supercomputers globally, running on zero-carbon electricity and using direct liquid cooling to cut energy use by up to 90%.

Plans are underway to reuse its waste heat for nearby homes and businesses. Its sustainable design cuts emissions by 72% versus traditional builds.

The University of Bristol, chosen for its AI and HPC expertise, also offers a government-backed master’s through the Sparck AI scholarship. Vice-Chancellor Professor Evelyn Welch called the launch a milestone for British AI.

Researchers are already using Isambard-AI to analyse data from wearable cameras for assisted living support, and to scan MRI data to speed up cancer detection and treatment planning.

Other teams are modelling disease-related proteins and using AI to detect illness in dairy cattle by monitoring herd behaviour — showing the system’s broad real-world impact.

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Power demands reshape future of data centres

As AI and cloud computing demand surges, Siemens is tackling critical energy and sustainability challenges facing the data centre industry. With power densities surpassing 100kW per rack, traditional infrastructure is being pushed beyond its limits.

Siemens highlighted the urgent need for integrated digital solutions to address growing pressures such as delayed grid connections, rising costs, and speed of deployment. Operators are increasingly adopting microgrids and forming utility partnerships to ensure resilience and control over power access.

Siemens views data centres not just as energy consumers but as contributors to the grid, using stored energy to balance supply. The shift is pushing the industry to become more involved in grid stability and renewable integration.

While achieving net zero remains challenging, data centres are adopting on-site renewables, advanced cooling systems, and AI-driven management tools to boost efficiency.

Siemens’ own software, such as the Building X Suite, is helping reduce energy waste and predict maintenance needs, aligning operational effectiveness with sustainability goals.

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Eric Schmidt warns that AI growth is limited by electricity

Former Google chief executive Eric Schmidt has warned that electricity, rather than semiconductors, will limit the future growth of AI.

Speaking on the Moonshots podcast, Schmidt said the push towards artificial superintelligence—AI that exceeds human cognitive ability in almost all domains—will depend on securing sufficient power instead of just developing more advanced chips.

Schmidt noted the US alone may require an extra 92 gigawatts of electricity to support AI growth, equivalent to dozens of nuclear power stations.

Instead of waiting for new plants, companies such as Microsoft are seeking to retrofit closed facilities, including the Three Mile Island plant targeted for relaunch in 2028.

Schmidt highlighted growing environmental pressures, citing Microsoft’s 34% increase in water use within a year, a trend experts link directly to rising AI workloads.

Major AI developers like OpenAI’s Sam Altman also acknowledge energy as a key constraint. Altman has invested in nuclear fusion through Helion, while firms such as Microsoft and AMD are pressing US policymakers to fast-track energy permits.

Environmental groups, including Greenpeace, warn that unchecked AI expansion risks undermining climate goals instead of supporting them.

Schmidt believes superintelligence is inevitable and approaching rapidly, predicting specialised AI tools across all fields within five years. Rather than focusing solely on AI’s capabilities, he stressed the urgent need for planning energy infrastructure today to match tomorrow’s AI demands.

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Malaysia pushes clean tech and innovation for growth

Malaysia is accelerating its transition to a low-carbon and digitally driven economy by channelling investments into green technologies and innovation.

At the National Economic Forum 2025, Minister Chang Lih Kang outlined the country’s strategy to support sustainable growth through carbon management, hydrogen energy, green materials and circular economic models.

The government is also exploring advanced nuclear technologies such as Small Modular Reactors to support decarbonisation and enhance research, talent development and technology transfer.

A 17% increase in private R&D investment last year, mainly in clean energy and digital health, has helped build investor confidence. Authorities are now encouraging further growth through co-investment strategies, grants and collaborative innovation platforms.

Malaysia’s National Biotechnology Policy is also supporting biopharmaceuticals and agricultural biotech, in line with sustainability and ESG objectives. The Malaysian government aims to create a resilient, inclusive and innovation-driven economy for the next phase of regional development.

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