New digital stylist reshapes Mango’s e-commerce experience

Mango has launched a new AI-powered personal stylist designed to elevate the online shopping experience. Called Mango Stylist, the tool offers fashion advice and outfit suggestions based on each user’s preferences, creating a more interactive and intuitive way to browse.

Available through the Mango app and Instagram chat, the assistant uses natural language to provide styling tips and product recommendations tailored to the individual. It builds on Mango’s previous investment in generative AI and complements its existing customer service assistant, Iris.

The rollout is part of Mango’s broader 4E Strategic Plan, which prioritises technological innovation and customer engagement. By integrating Mango Stylist into its e-commerce platforms, the brand aims to streamline shopping and drive value across key markets, including the UK, Spain, Germany and the US.

Behind the scenes, Mango’s digital, data, and fashion teams collaborated on the project, drawing from over 15 machine learning platforms to fine-tune everything from pricing to product suggestions. The fashion chain sees this development as a major step towards delivering a seamless hybrid shopping experience.

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EU PREVAIL project opens Edge AI platform to users in June

The European Union’s PREVAIL project is preparing to open its Edge AI services to external users in June 2025.

Coordinated by Europe’s top research and technology organisations—CEA-Leti, Fraunhofer-Gesellschaft, imec, and VTT—the initiative offers a shared, multi-hub infrastructure designed to speed up the development and commercialisation of next-generation Edge AI technologies.

Through its platform, European designers will gain access to advanced chip prototyping capabilities and full design support using standard commercial tools.

PREVAIL combines commercial foundry processes with advanced technology modules developed in partner clean rooms. These include embedded non-volatile memories (eNVM), silicon photonics, and 3D integration technologies such as silicon interposers and packaging innovations.

Initial demonstrators, already in development with industry partners, will serve as test cases to ensure compatibility with a broad range of applications and future scalability.

From July 2025, a €20 million EU-funded call under the ‘Low Power Edge AI’ initiative will help selected customers co-finance their access to the platform. Whether supported by EU funds or independently financed, users will be able to design chips using one of four shared platforms.

The consortium has also set up a user interface team to manage technical support and provide access to Process Design Kits and Design Rule Manuals.

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Digital divination on demand

A growing number of people are turning to ChatGPT for spiritual insight, asking the AI to interpret dreams, deliver tarot readings or even channel messages from lost loved ones. Many describe these exchanges as oddly accurate or deeply comforting, praising the chatbot’s non-judgmental tone and round-the-clock availability.

For some, the experience borders on mystical. Users say ChatGPT feels like a mirror to their psyche, capable of sparking epiphanies or emotional release. The chatbot’s smooth, responsive dialogue can simulate wisdom, offering what feels like personalised guidance.

However, experts warn there are risks in mistaking machine learning for metaphysical truth. AI can invent responses, flatter users or reinforce biases, all without genuine understanding. Relying too heavily on a chatbot for spiritual clarity, psychologists say, may dull critical thinking or worsen underlying mental health struggles.

Still, others see promise in using AI as a reflective aid rather than a guru. Spiritual advisors suggest the tool may help frame questions or organise thoughts, but caution that lasting insight comes through lived experience, not code. In an era of instant answers, they say, meaningful growth still takes time, community and reflection.

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Robotics set to have a ChatGPT moment

Vinod Khosla, the venture capitalist behind early bets in OpenAI, predicts a breakthrough in robotics akin to ChatGPT will arrive within two to three years. He envisions adaptable, humanoid robots able to handle kitchen tasks, from chopping vegetables to washing dishes, for around £230 to £307 per month.

Current robots, particularly those from Chinese manufacturers, struggle in new environments and lack true self‑learning, a gap Khosla believes will soon close. He adds that while large established firms like Apple have not taken the lead, startups are where transformative innovation is most likely to come.

Nvidia CEO Jensen Huang sees a vast future in physical AI. Huang labels the robotics sector a multitrillion‑dollar opportunity and highlights autonomous vehicles as the first major commercial application. Similarly, Amazon plans to increase hiring in AI and robotics.

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Beware of fake deals as Prime Day approaches

A surge in online scams is expected ahead of Amazon’s Prime Day, which runs from 8 to 11 July, as fraudsters use increasingly sophisticated tactics. Advice Direct Scotland is issuing a warning to shoppers across Scotland: AI-enhanced phishing emails, bogus renewal notices, and fake refund offers are on the rise.

In one common ruse, scammers impersonate Amazon in messages stating your Prime membership has expired or that your account needs urgent verification. Others go further, claiming your Amazon account has been hacked and demanding remote access to your device, something the real company never does. Victims in Scotland reportedly lost around £860,000 last year to similar crime, as scam technology becomes more convincing.

Advice Direct Scotland reminds shoppers not to rush and to trust their instincts. Genuine Amazon communications will never ask for remote access, passwords, or financial information over email or phone. If in doubt, hang up and check your account via official channels, or reach out to the charity’s ScamWatch hotline.

Those seeking guidance can contact Advice Direct Scotland via phone or online chat, or report suspected scams using the free ScamWatch tool. With Prime Day bargains tempting many, staying vigilant could mean avoiding a costly mistake.

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Hackers use AI to create phishing sites in seconds

Hackers are now using generative AI tools to build convincing phishing websites in under a minute, researchers at Okta have warned. The company discovered that a tool developed by Vercel had been abused to replicate login portals for platforms such as Okta, Microsoft 365 and crypto services.

Using simple prompts like ‘build a copy of the website login.okta.com’, attackers can create fake login pages with little effort or technical skill. Okta’s investigation found no evidence of successful breaches, but noted that threat actors repeatedly used v0 to target new platforms.

Vercel has since removed the fraudulent sites and is working with Okta to create a system for reporting abuse. Security experts are concerned the speed and accessibility of generative AI tools could accelerate low-effort cybercrime on a massive scale.

Researchers also found cloned versions of the v0 tool on GitHub, which may allow continued abuse even if access to the original is restricted. Okta urges organisations to adopt passwordless systems, as traditional phishing detection methods are becoming obsolete.

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AI model predicts sudden cardiac death more accurately

A new AI tool developed by researchers at Johns Hopkins University has shown promise in predicting sudden cardiac death among people with hypertrophic cardiomyopathy (HCM), outperforming existing clinical tools.

The model, known as MAARS (Multimodal AI for ventricular Arrhythmia Risk Stratification), uses a combination of medical records, cardiac MRI scans, and imaging reports to assess individual patient risk more accurately.

In early trials, MAARS achieved an AUC (area under the curve) score of 0.89 internally and 0.81 in external validation — both significantly higher than traditional risk calculators recommended by American and European guidelines.

The improvement is attributed to its ability to interpret raw cardiac MRI data, particularly scans enhanced with gadolinium, which are often overlooked in standard assessments.

While the tool has the potential to personalise care and reduce unnecessary defibrillator implants, researchers caution that the study was limited to small cohorts from Johns Hopkins and North Carolina’s Sanger Heart & Vascular Institute.

They also acknowledged that MAARS’s reliance on large and complex datasets may pose challenges for widespread clinical use.

Nevertheless, the research team believes MAARS could mark a shift in managing HCM, the most common inherited heart condition.

By identifying hidden patterns in imaging and medical histories, the AI model may protect patients more effectively, especially younger individuals who remain at risk yet receive no benefit from current interventions.

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AI brings Babylon’s lost hymn back to life

A hymn to the ancient city of Babylon has been reconstructed after 2,100 years using AI to piece together 30 clay tablet fragments. Once lost after Alexander the Great’s conquest, the song praises the city’s grandeur, morals and daily life in exceptional poetic detail.

The hymn, sung to the god Marduk, depicts Babylon as a flourishing paradise filled with jewelled gates, verdant pastures and flowing rivers. AI tools helped researchers quickly assemble and translate the fragments, revealing a third of the original 250-line text.

The poem sheds rare light on Babylonian values, highlighting kindness to foreigners, the release of prisoners and the sanctity of orphans. It also gives a surprising glimpse into the role of women, including cloistered priestesses who acted as midwives.

Parts of the hymn were copied out by schoolchildren up to 1,400 years after it was composed, showing its cultural importance. Scholars now place it alongside the Epic of Gilgamesh as one of the most treasured literary works from ancient Mesopotamia.

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X to test AI-generated Community Notes

X, the social platform formerly known as Twitter, is preparing to test a new feature allowing AI chatbots to generate Community Notes.

These notes, a user-driven fact-checking system expanded under Elon Musk, are meant to provide context on misleading or ambiguous posts, such as AI-generated videos or political claims.

The pilot will enable AI systems like Grok or third-party large language models to submit notes via API. Each AI-generated comment will be treated the same as a human-written one, undergoing the same vetting process to ensure reliability.

However, concerns remain about AI’s tendency to hallucinate, where it may generate inaccurate or fabricated information instead of grounded fact-checks.

A recent research paper by the X Community Notes team suggests that AI and humans should collaborate, with people offering reinforcement learning feedback and acting as the final layer of review. The aim is to help users think more critically, not replace human judgment with machine output.

Still, risks persist. Over-reliance on AI, particularly models prone to excessive helpfulness rather than accuracy, could lead to incorrect notes slipping through.

There are also fears that human raters could become overwhelmed by a flood of AI submissions, reducing the overall quality of the system. X intends to trial the system over the coming weeks before any wider rollout.

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The cognitive cost of AI: Balancing assistance and awareness

The double-edged sword of AI assistance

The rapid integration of AI tools like ChatGPT into daily life has transformed how we write, think, and communicate. AI has become a ubiquitous companion, helping students with essays and professionals streamline emails.

However, a new study by MIT raises a crucial red flag: excessive reliance on AI may come at the cost of our own mental sharpness. Researchers discovered that frequent ChatGPT users showed significantly lower brain activity, particularly in areas tied to critical thinking and creativity.

The study introduces a concept dubbed ‘cognitive debt,’ a reminder that while AI offers convenience, it may undermine our cognitive resilience if not used responsibly.

MIT’s method: How the study was conducted

The MIT Media Lab study involved 54 participants split into three groups: one used ChatGPT, another used traditional search engines, and the third completed tasks unaided. Participants were assigned writing exercises over multiple sessions while their brain activity was tracked using electroencephalography (EEG).

That method allowed scientists to measure changes in alpha and beta waves, indicators of mental effort. The findings revealed a striking pattern: those who depended on ChatGPT demonstrated the lowest brain activity, especially in the frontal cortex, where high-level reasoning and creativity originate.

Diminished mental engagement and memory recall

One of the most alarming outcomes of the study was the cognitive disengagement observed in AI users. Not only did they show reduced brainwave activity, but they also struggled with short-term memory.

Many could not recall what they had written just minutes earlier because the AI had done most of the cognitive heavy lifting. This detachment from the creative process meant that users were no longer actively constructing ideas or arguments but passively accepting the machine-generated output.

The result? A diminished sense of authorship and ownership over one’s own work.

Homogenised output: The erosion of creativity

The study also noted a tendency for AI-generated content to appear more uniform and less original. While ChatGPT can produce grammatically sound and coherent text, it often lacks the personal flair, nuance, and originality that come from genuine human expression.

Essays written with AI assistance were found to be more homogenised, lacking distinct voice and perspective. This raises concerns, especially in academic and creative fields, where originality and critical thinking are fundamental.

The overuse of AI could subtly condition users to accept ‘good enough’ content, weakening their creative instincts over time.

The concept of cognitive debt

‘Cognitive debt’ refers to the mental atrophy that can result from outsourcing too much thinking to AI. Like financial debt, this form of cognitive laziness builds over time and eventually demands repayment, often in the form of diminished skills when the tool is no longer available.

Typing

Participants who became accustomed to using AI found it more challenging to write without it later on. The reliance suggests that continuous use without active mental engagement can erode our capacity to think deeply, form complex arguments, and solve problems independently.

A glimmer of hope: Responsible AI use

Despite these findings, the study offers hope. Participants who started tasks without AI and only later integrated it showed significantly better cognitive performance.

That implies that when AI is used as a complementary tool rather than a replacement, it can support learning and enhance productivity. By encouraging users to first engage with the problem and then use AI to refine or expand their ideas, we can strike a healthy balance between efficiency and mental effort.

Rather than abstinence, responsible usage is the key to retaining our cognitive edge.

Use it or lose it

The MIT study underscores a critical reality of our AI-driven era: while tools like ChatGPT can boost productivity, they must not become a substitute for thinking itself. Overreliance risks weakening the faculties defining human intelligence—creativity, reasoning, and memory.

The challenge in the future is to embrace AI mindfully, ensuring that we remain active participants in the cognitive process. If we treat AI as a partner rather than a crutch, we can unlock its full potential without sacrificing our own.

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