Metro Bank teams up with Ask Silver to fight fraud

Metro Bank has introduced an AI-powered scam detection tool, becoming the first UK bank to offer customers instant scam checks through a simple WhatsApp service.

Developed in partnership with Ask Silver, the Scam Checker allows users to upload images or screenshots of suspicious emails, websites, or documents for rapid analysis and safety advice.

The tool is free for personal and business customers, who receive alerts if the communication is flagged as fraudulent. Ask Silver’s technology not only identifies potential scams but also automatically reports them to relevant authorities.

The company was founded after one of the co-founders’ family members lost £150,000 to a scam, fuelling its mission to prevent similar crimes.

The launch comes amid a surge in impersonation scams across the United Kingdom, with over £1 billion lost to fraud in 2023. Metro Bank’s head of fraud, Baz Thompson, said the tool helps counter tactics that rely on urgency and pressure.

Customers are also reminded that the bank will never request sensitive information or press them to act quickly via emails or texts.

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Trump administration pushes for pro-AI shift in US federal agencies

The White House announced on Monday a shift in how US federal agencies will approach AI, prioritising innovation over the stricter regulatory framework previously established under President Biden. 

A new memorandum from the Office of Management and Budget instructs agencies to appoint chief AI officers and craft policies to expand the use of AI technologies across government operations.

This pivot includes repealing two Biden-era directives emphasising transparency and safeguards against AI misuse. 

The earlier rules required federal agencies to implement protective measures for civil rights and limit unchecked acquisition of AI tools. 

These protections have now been replaced with a call for a more ‘forward-leaning and pro-innovation’ stance, removing what the current administration views as excessive bureaucratic constraints.

Federal agencies are now expected to develop AI strategies within six months. These plans must identify barriers to responsible AI implementation and improve how the technology is used enterprise-wide. 

The administration also encouraged the development of specific policies for generative AI, emphasising maximising the use of American-made solutions and enhancing interoperability between systems.

The policy change is part of President Trump’s broader rollback of previous AI governance, including his earlier revocation of a 2023 executive order signed by Biden that required developers to disclose sensitive training data. 

The new framework aims to streamline AI procurement processes and eliminate what the administration labels unnecessary reporting burdens while still maintaining basic privacy protections.

Federal agencies have already begun integrating AI into their operations. The Federal Aviation Administration, for example, has applied machine learning to analyse safety reports and identify emerging aviation risks. 

Under the new guidelines, such initiatives are expected to accelerate, signalling a broader federal embrace of AI across sectors.

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SandboxAQ attracts major investors for AI expansion

SandboxAQ has secured a further $150 million in funding, bringing its Series E total to over $450 million.

The quantum-AI firm, which originated at Alphabet in 2016 and spun out in 2022, continues to draw backing from tech heavyweights and financial leaders, including Google, Nvidia, Ray Dalio, and BNP Paribas.

The funding is set to accelerate development in large quantitative models (LQMs), which lie at the heart of SandboxAQ’s enterprise solutions.

The models are already being applied across sectors such as life sciences, finance, and navigation. BNP Paribas described the partnership as a key move at the intersection of AI and quantum technology, while Ray Dalio cited his confidence in the company’s team and approach.

Recent collaborations have also strengthened SandboxAQ’s position in the field. In early 2025, it partnered with Google Cloud to deliver its LQMs via the Google Cloud Marketplace, easing deployment for enterprise users.

Previous deals include a November 2023 alliance with Nvidia to simulate chemical reactions for new material development. In total, SandboxAQ has now raised more than $950 million, achieving a pre-money valuation of $5.3 billion in late 2024.

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Mistral AI to power CMA CGM’s next-gen logistics tools

French shipping heavyweight CMA CGM has announced a major partnership with tech firm Mistral AI, committing €100 million over five years to develop custom AI solutions across its logistics, shipping, and media divisions.

A dedicated team of Mistral AI experts will be stationed at CMA CGM’s Marseille headquarters and Grand Central, the base for its media arm.

The collaboration will focus on automating customer services, improving e-commerce tools, and creating smarter document systems to streamline operations.

CMA CGM’s CEO, Rodolphe Saadé, described the deal as a key step in reinventing the group’s core businesses with artificial intelligence, while aligning with the company’s values and goals for responsible innovation.

CMA CGM has already committed €500 million to advancing AI, with prior partnerships including Google and Perplexity, and investments in firms like PoolSide and Dataiku.

The group also launched Kyutai, a nonprofit AI research lab, in 2023. The latest collaboration with Mistral AI reinforces CMA CGM’s ambition to lead digital transformation in maritime logistics through generative AI.

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Osney Capital invests in the UK’s cybersecurity innovation

Osney Capital has launched the UK’s first specialist cybersecurity seed fund, focused on investing in promising cybersecurity startups at the Pre-Seed and Seed stages.

The fund, which raised more than its initial £50 million target, will write cheques between £250k and £2.5 million and has the capacity for follow-on investments in Series A rounds.

Led by Adam Cragg, Josh Walter, and Paul Wilkes, the Osney Capital team brings decades of experience in cybersecurity and early-stage investing. Instead of relying on generalist investors, the fund will offer tailored support to early-stage companies, addressing the unique challenges in the cybersecurity sector.

The UK cybersecurity industry has grown to £13.2 billion in 2025, driven by complex cyber threats, regulatory pressures, and the rapid adoption of AI. The fund aims to capitalise on this growth, tapping into the strong talent pipeline boosted by UK universities and specialised cybersecurity programs.

Supported by cornerstone investments from the British Business Bank and accredited by the UK’s National Security Strategic Investment Fund, Osney Capital’s mission is to back the next generation of cybersecurity founders and help them scale globally competitive businesses.

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Copyright lawsuits against OpenAI and Microsoft combined in AI showdown

Twelve copyright lawsuits filed against OpenAI and Microsoft have been merged into a single case in the Southern District of New York.

The US judicial panel on multidistrict litigation decided to consolidate, despite objections from many plaintiffs who argued their cases were too distinct.

The lawsuits claim that OpenAI and Microsoft used copyrighted books and journalistic works without consent to train AI tools like ChatGPT and Copilot.

The plaintiffs include high-profile authors—Ta-Nehisi Coates, Sarah Silverman, Junot Díaz—and major media outlets such as The New York Times and Daily News.

The panel justified the centralisation by citing shared factual questions and the benefits of unified pretrial proceedings, including streamlined discovery and avoidance of conflicting rulings.

OpenAI has defended its use of publicly available data under the legal doctrine of ‘fair use.’

A spokesperson stated the company welcomed the consolidation and looked forward to proving that its practices are lawful and support innovation. Microsoft has not yet issued a comment on the ruling.

The authors’ attorney, Steven Lieberman, countered that this is about large-scale theft. He emphasised that both Microsoft and OpenAI have, in their view, infringed on millions of protected works.

Some of the same authors are also suing Meta, alleging the company trained its models using books from the shadow library LibGen, which houses over 7.5 million titles.

Simultaneously, Meta faced backlash in the UK, where authors protested outside the company’s London office. The demonstration focused on Meta’s alleged use of pirated literature in its AI training datasets.

The Society of Authors has called the actions illegal and harmful to writers’ livelihoods.

Amazon also entered the copyright discussion this week, confirming its new Kindle ‘Recaps’ feature uses generative AI to summarise book plots.

While Amazon claims accuracy, concerns have emerged online about the reliability of AI-generated summaries.

In the UK, lawmakers are also reconsidering copyright exemptions for AI companies, facing growing pressure from creative industry advocates.

The debate over how AI models access and use copyrighted material is intensifying, and the decisions made in courtrooms and parliaments could radically change the digital publishing landscape.

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Sam Altman’s AI cricket post fuels India speculation

A seemingly light-hearted social media post by OpenAI CEO Sam Altman has stirred a wave of curiosity and scepticism in India. Altman shared an AI-generated anime image of himself as a cricket player dressed in an Indian jersey, which quickly went viral among Indian users.

While some saw it as a fun gesture, others questioned the timing and motives, speculating whether it was part of a broader strategy to woo Indian audiences. This isn’t the first time Altman has publicly praised India.

In recent weeks, he lauded the country’s rapid adoption of AI technology, calling it ‘amazing to watch’ and even said it was outpacing the rest of the world. His comments marked a shift from a more dismissive stance during a 2023 visit when he doubted India’s potential to compete with OpenAI’s large-scale models.

However, during his return visit in February 2025, he expressed interest in collaborating with Indian authorities on affordable AI solutions. The timing of Altman’s praise coincides with a surge in Indian users on OpenAI’s platforms, now the company’s second-largest market.

Meanwhile, OpenAI faces a legal tussle with several Indian media outlets over their alleged content misuse. Despite this, the potential of India’s booming AI market—projected to hit $8 billion by 2025—makes the country a critical frontier for global tech firms.

Experts argue that Altman’s overtures are more about business than sentiment. With increasing competition from rival AI models like DeepSeek and Gemini, maintaining and growing OpenAI’s Indian user base has become vital. As technology analyst Nikhil Pahwa said, ‘There’s no real love; it’s just business.’

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Thailand strengthens cybersecurity with Google Cloud

Thailand’s National Cyber Security Agency (NCSA) has joined forces with Google Cloud to strengthen the country’s cyber resilience, using AI-based tools and shared threat intelligence instead of relying solely on traditional defences.

The collaboration aims to better protect public agencies and citizens against increasingly sophisticated cyber threats.

A key part of the initiative involves deploying Google Cloud Cybershield for centralised monitoring of security events across government bodies. Instead of having fragmented monitoring systems, this unified approach will help streamline incident detection and response.

The partnership also brings advanced training for cybersecurity personnel in the public sector, alongside regular threat intelligence sharing.

Google Cloud Web Risk will be integrated into government operations to automatically block websites hosting malware and phishing content, instead of relying on manual checks.

Google further noted the impact of its anti-scam technology in Google Play Protect, which has prevented over 6.6 million high-risk app installation attempts in Thailand since its 2024 launch—enhancing mobile safety for millions of users.

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Microsoft showcases Copilot’s AI potential with Quake II demo

Microsoft has introduced a browser-based, AI-generated version of the classic game Quake II as a demonstration of its Copilot Gaming Experiences.

The innovative approach showcases the capabilities of generative AI by applying it to a beloved retro game, providing a fresh, interactive experience that requires no traditional game engine.

The project stems from the company’s research labs, utilising technologies like MuseWorld and the Human Action Model (WHAM) to generate gameplay in real time.

Training the AI model on a level of Quake II enabled Copilot to dynamically create game visuals and respond to player inputs instantly. Microsoft describes the technology as ‘a glimpse into next-generation AI gaming experiences’.

Rather than relying on standard game engines, it simulates gameplay through AI generation, demonstrating how older games can be revitalised through modern techniques.

Although the demo is not a full game, it provides users with a tangible example of how AI can enhance classic games.

Microsoft encourages players to share their experiences and feedback, as the company seeks to refine and expand the use of AI in gaming. The demo is now available to try for free, offering an engaging preview of what could be a new frontier in interactive entertainment.

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Meta unveils Llama 4 models to boost AI across platforms

Meta has launched Llama 4, its latest and most advanced family of open-weight AI models, aiming to enhance the intelligence of Meta AI across services like WhatsApp, Instagram, and Messenger.

Instead of keeping these models cloud-restricted, Meta has made them available for download through its official Llama website and Hugging Face, encouraging wider developer access.

Two models, Llama 4 Scout and Maverick, are now publicly available. Scout, the lighter model with 17 billion active parameters, supports a 10 million-token context window and can run on a single Nvidia H100 GPU.

It outperforms rivals like Google’s Gemma 3 and Mistral 3.1 in benchmark tests. Maverick, the more capable model, uses the same number of active parameters but with 128 experts, offering competitive performance against GPT-4o and DeepSeek v3 while being more efficient.

Meta also revealed the Llama 4 Behemoth model, still in training, which serves as a teacher for the rest of the Llama 4 line. Instead of targeting lightweight use, Behemoth focuses on heavy multimodal tasks with 288 billion active parameters and nearly two trillion in total.

Meta claims it outpaces GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in key STEM-related evaluations.

These open-weight AI models allow local deployment instead of relying on cloud APIs, though some licensing limits may apply. With Scout and Maverick already accessible, Meta is gradually integrating Llama 4 capabilities into its messaging and social platforms worldwide.

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