Microsoft adds AI Copilot Mode to Edge browser

Microsoft has launched Copilot Mode in its Edge browser, adding AI features to streamline online activity.

Instead of switching between tabs or manually comparing information, users can ask Copilot to complete tasks, search for content, and make suggestions. The tool is available for PC and Mac users and opens in a side panel, letting people interact with it while still viewing the original page.

Copilot can help with everyday tasks such as writing content, preparing grocery lists, and scheduling appointments. It works across multiple tabs if the user permits, enabling comparisons like hotel or flight prices in a single command.

Voice input is also supported, making it easier for those with limited mobility or less familiarity with AI tools to interact naturally.

Microsoft notes that Copilot Mode remains experimental, but users can still set it as the default. It supports conversational prompts, dynamic interactions like turning recipes vegan, and even measurements or language translations, all without losing browser position.

Users may eventually provide login or history access for more advanced tasks, although full consent and clear notifications will be required.

With growing reliance on digital assistants, Microsoft’s move puts Edge in direct competition with other AI-enabled browsers. As more AI tools become embedded in everyday software, the company expects Copilot to evolve rapidly and suggest next steps to help users pick up where they left off.

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Chrome update brings AI shopping summaries to US users

Google has updated its Chrome browser to include AI-generated summaries of online stores, aimed at helping shoppers in the US make more informed buying decisions.

Instead of manually searching through reviews, users can now click an icon next to the web address to see a summary of a shop’s performance across key areas like product quality, pricing, returns, and customer service.

The feature is currently available only in English and is limited to desktop users.

The summaries are generated from a range of trusted review platforms, including Trustpilot, Bazaarvoice, Bizrate Insights, and others. Google says that the tool will offer a more efficient and secure online shopping experience.

It also helps the tech giant better compete with Amazon, which has already rolled out AI tools for product comparisons, fit suggestions, and ratings analysis. The move forms part of Google’s wider push to turn Chrome into a more powerful e-commerce assistant.

The company is also integrating AI tools like the Gemini assistant and developing agentic AI systems that can carry out tasks in the browser on a user’s behalf.

At the same time, Chrome faces fresh competition from AI-first browsers such as Perplexity’s Comet, Opera Neon, and a possible entry from OpenAI.

By adding AI-powered features directly into Chrome, Google hopes to future-proof its browser while strengthening its position in online retail.

As rivals begin to build intelligent browsers from the ground up, Google is reimagining how Chrome can serve users beyond simple search and browsing.

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AI chatbot captures veteran workers’ knowledge to support UK care teams

Peterborough City Council has turned the knowledge of veteran therapy practitioner Geraldine Jinks into an AI chatbot to support adult social care workers.

After 35 years of experience, colleagues frequently approached Jinks seeking advice, leading to time pressures despite her willingness to help.

In response, the council developed a digital assistant called Hey Geraldine, built on the My AskAI platform, which mimics her direct and friendly communication style to provide instant support to staff.

Developed in 2023, the chatbot offers practical answers to everyday care-related questions, such as how to support patients with memory issues or discharge planning. Jinks collaborated with the tech team to train the AI, writing all the responses herself to ensure consistency and clarity.

Thanks to its natural tone and humanlike advice, some colleagues even mistook the chatbot for the honest Geraldine.

The council hopes Hey Geraldine will reduce hospital discharge delays and improve patient access to assistive technology. Councillor Shabina Qayyum, who also works as a GP, said the tool empowers staff to help patients regain independence instead of facing unnecessary delays.

The chatbot is seen as preserving valuable institutional knowledge while improving frontline efficiency.

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Google seeks balance between user satisfaction and ecosystem health

At the Search Central Live Deep Dive 2025 event, Google’s Gary Illyes acknowledged that they are still calibrating how to weigh user needs, especially around AI-powered features, and the health of the broader web publishing community.

The company gathers internal survey data and tracks the adoption of external AI tools to assess satisfaction and guide product decisions.

While Google aims to enrich user experience with AI Overviews, critics warn these features may shrink organic traffic for publishers, as users often consume information without visiting source sites.

Illyes reaffirmed that Google does not intend disruption but is navigating a trade-off between serving users efficiently and maintaining a healthy content ecosystem.

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New AI model, Aeneas, assists historians in interpreting Roman inscriptions

Thanks to AI, historians studying ancient Rome now have a powerful new tool.

A research team, including scholars from Google DeepMind and the University of Nottingham, developed a generative AI model called Aeneas that can help interpret damaged Latin inscriptions by estimating their location and date and suggesting likely missing text.

Each year, roughly 1,500 new Latin inscriptions are unearthed, ranging from imperial decrees to everyday graffiti. These inscriptions, written by ancient Romans across all social classes, offer rare, first-hand insights into daily life, language, and society.

Yet many of them are incomplete or difficult to contextualise. Traditionally, scholars must compare each inscription against hundreds of others manually — a process described as laborious and requiring exceptional expertise.

Aeneas, trained on over 170,000 Latin texts, can now predict when and where an inscription was written across the Roman Empire’s 62 provinces. In one test case, it analysed the famous Res Gestae Divi Augusti, narrowing down the date to the same two options long debated by historians.

Aeneas significantly improved research outcomes when used alongside human expertise instead of replacing it, helping scholars piece together history more efficiently than ever.

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Guess AI model sparks fashion world debate

A striking new ‘supermodel’ has appeared in the August print edition of Vogue, featuring in a Guess advert for their summer collection. Uniquely, the flawless blonde model is not real, as a small disclaimer reveals she was created using AI.

While Vogue clarifies the AI model’s inclusion was an advertising decision, not editorial, it marks a significant first for the magazine and has ignited widespread controversy.

The development raises serious questions for real models, who have long campaigned for greater diversity, and consumers, particularly young people, are already grappling with unrealistic beauty standards.

Seraphinne Vallora, the company behind the controversial Guess advert, comprises founders Valentina Gonzalez and Andreea Petrescu. They told the BBC that Guess’s co-founder, Paul Marciano, approached them on Instagram to create an AI model for the brand’s summer campaign.

Valentina Gonzalez explained, ‘We created 10 draft models for him and he selected one brunette woman and one blonde that we developed further.’ Petrescu described AI image generation as a complex process, with their five employees taking up to a month to create a finished product, charging clients like Guess up to the low six figures.

However, plus-size model Felicity Hayward, with over a decade in the industry, criticised the use of AI models, stating it ‘feels lazy and cheap’ and worried it could ‘undermine years of work towards more diversity in the industry.’

Hayward believes the fashion industry, which saw strides in inclusivity in the 2010s, has regressed, leading to fewer bookings for diverse models. She warned, ‘The use of AI models is another kick in the teeth that will disproportionately affect plus-size models.’

Gonzalez and Petrescu insist they do not reinforce narrow beauty standards, with Petrescu claiming, ‘We don’t create unattainable looks – the AI model for Guess looks quite realistic.’ They contended, ‘Ultimately, all adverts are created to look perfect and usually have supermodels in, so what we do is no different.’

While admitting their company’s Instagram shows a lack of diversity, Gonzalez explained to the BBC that attempts to post AI images of women with different skin tones did not gain traction, stating, ‘people do not respond to them – we don’t get any traction or likes.’

They also noted that the technology is not yet advanced enough to create plus-size AI women. However, this mirrors a 2024 Dove campaign that highlighted AI bias by showing image generators consistently producing thin, white, blonde women when asked for ‘the most beautiful woman in the world.’

Vanessa Longley, CEO of eating disorder charity Beat, found the advert ‘worrying,’ telling the BBC, ‘If people are exposed to images of unrealistic bodies, it can affect their thoughts about their own body, and poor body image increases the risk of developing an eating disorder.’

The lack of transparent labelling for AI-generated content in the UK is also a concern, despite Guess having a small disclaimer. Sinead Bovell, a former model and now tech entrepreneur, told the BBC that not clearly labelling AI content is ‘exceptionally problematic’ due to ‘AI is already influencing beauty standards.’

Sara Ziff, a former model and founder of Model Alliance, views Guess’s campaign as “less about innovation and more about desperation and need to cut costs,’ advocating for ‘meaningful protections for workers’ in the industry.

Seraphinne Vallora, however, denies replacing models, with Petrescu explaining, ‘We’re offering companies another choice in how they market a product.’

Despite their website claiming cost-efficiency by ‘eliminating the need for expensive set-ups… hiring models,’ they involve real models and photographers in their AI creation process. Vogue’s decision to run the advert has drawn criticism on social media, with Bovell noting the magazine’s influential position, which means they are ‘in some way ruling it as acceptable.’

Looking ahead, Bovell predicts more AI-generated models but not their total dominance, foreseeing a future where individuals might create personal AI avatars to try on clothes and a potential ‘society opting out’ if AI models become too unattainable.

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UK enforces age checks to block harmful online content for children

The United Kingdom has introduced new age verification laws to prevent children from accessing harmful online content, marking a significant shift in digital child protection.

The measures, enforced by media regulator Ofcom, require websites and apps to implement strict age checks such as facial recognition and credit card verification.

Around 6,000 pornography websites have already agreed to the new regulations, which stem from the 2023 Online Safety Act. The rules also target content related to suicide, self-harm, eating disorders and online violence, instead of just focusing on pornography.

Companies failing to comply risk fines of up to £18 million or 10% of global revenue, and senior executives could face criminal charges if they ignore Ofcom’s directives.

Technology Secretary Peter Kyle described the move as a turning point, saying children will now experience a ‘different internet for the first time’.

Ofcom data shows that around 500,000 children aged eight to fourteen encountered online pornography in just one month, highlighting the urgency of the reforms. Campaigners, including the NSPCC, called the new rules a ‘milestone’, though they warned loopholes could remain.

The UK government is also exploring further restrictions, including a potential daily two-hour time limit on social media use for under-16s. Kyle has promised more announcements soon, as Britain moves to hold tech platforms accountable instead of leaving children exposed to harmful content online.

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The US push for AI dominance through openness

In a bold move to maintain its edge in the global AI race—especially against China—the United States has unveiled a sweeping AI Action Plan with 103 recommendations. At its core lies an intriguing paradox: the push for open-source AI, typically associated with collaboration and transparency, is now being positioned as a strategic weapon.

As Jovan Kurbalija points out, this plan marks a turning point where open-weight models are framed not just as tools of innovation, but as instruments of geopolitical influence, with the US aiming to seed the global AI ecosystem with American-built systems rooted in ‘national values.’

The plan champions Silicon Valley by curbing regulations, limiting federal scrutiny, and shielding tech giants from legal liability—potentially reinforcing monopolies. It also underlines a national security-first mentality, urging aggressive safeguards against foreign misuse of AI, cyber threats, and misinformation. Notably, it proposes DARPA-led initiatives to unravel the inner workings of large language models, acknowledging that even their creators often can’t fully explain how these systems function.

Internationally, the plan takes a competitive, rather than cooperative, stance. Allies are expected to align with US export controls and values, while multilateral forums like the UN and OECD are dismissed as bureaucratic and misaligned. That bifurcation risks alienating global partners—particularly the EU, which favours heavy AI regulation—while increasing pressure on countries like India and Japan to choose sides in the US–China tech rivalry.

Despite its combative framing, the strategy also nods to inclusion and workforce development, calling for tax-free employer-sponsored AI training, investment in apprenticeships, and growing military academic hubs. Still, as Kurbalija warns, the promise of AI openness may clash with the plan’s underlying nationalistic thrust—raising questions about whether it truly aims to democratise AI, or merely dominate it.

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New AI startup enables context across thousands of hours of video

Samsung Next has invested in Memories.ai, a startup specialising in long-duration video analysis capable of processing up to 10 million hours of footage.

The tool uses AI to transform massive video archives into searchable, structured datasets, even across multiple videos spanning hours or days.

The solution employs a layered pipeline: it filters noise, compresses critical segments, indexes content for natural-language queries, segments into meaningful units, and aggregates those insights into digestible reports. This structure enables users to search and analyse complex visual datasets seamlessly.

Memories.ai’s co-founders, Dr Shawn Shen and Enmin (Ben) Zhou, bring backgrounds from Meta’s Reality Labs and machine learning engineering.

The company raised $8 million in seed funding, surpassing its $4 million goal, led by Susa Ventures, including Samsung Next, Fusion Fund, Crane Ventures, Seedcamp, and Creator Ventures.

Samsung is banking on Memories.ai’s edge computing strengths, particularly to enable privacy-conscious applications such as home security analytics without cloud dependency. Its startup focus includes security firms and marketers needing scalable tools to sift through extensive video content.

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Google launches AI feature to reshape how search results appear

Google has introduced a new experimental feature named Web Guide, aimed at reorganising search results by using AI to group information based on the query’s different aspects.

Available through Search Labs, the tool helps users explore topics in a more structured way instead of relying on the standard, linear results page.

Powered by Google’s Gemini AI, Web Guide works particularly well for open-ended or complex queries. For example, searches such as ‘how to solo travel in Japan’ would return results neatly arranged into guides, safety advice, or personal experiences instead of a simple list.

The feature handles multi-sentence questions, offering relevant answers broken into themed sections.

Users who opt in can access Web Guide via the Web tab and toggle it off without exiting the entire experiment. While it works only on that tab, Google plans to expand it to the broader ‘All’ tab in time.

The move follows Google’s broader push to incorporate Gemini into tools like AI Mode, Flow, and other experimental products.

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