Artificial intelligence

New Jersey criminalises AI-generated nude deepfakes of minors

New Jersey has become the first US state to criminalise the creation and sharing of AI-generated nude images of minors, following a high-profile campaign led by 14-year-old Francesca Mani. The US legislation, signed into law on 2 April by Governor Phil Murphy, allows victims to sue perpetrators for up to $1,000 per image and includes criminal penalties of up to five years in prison and fines of up to $30,000.

Mani launched her campaign after discovering that boys at her school had used an AI “nudify” website to target her and other girls. Refusing to accept the school’s minimal disciplinary response, she called for lawmakers to take decisive action against such deepfake abuses. Her efforts gained national attention, including a feature on 60 Minutes, and helped drive the new legal protections.

The law defines deepfakes as media that convincingly depicts someone doing something they never actually did. It also prohibits the use of such technology for election interference or defamation. Although the law’s focus is on malicious misuse, questions remain about whether exemptions will be made for legitimate uses in film, tech, or education sectors.

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AI tool boosts accuracy of cancer treatment predictions

A Slovenian-US biotech company, Genialis, is harnessing AI to revolutionise cancer treatment by tackling a major obstacle: the lack of reliable biomarkers to predict how patients will respond to therapy. Using an AI-driven model developed from over a million global samples, the company aims to personalise treatment with far greater accuracy.

Founded nine years ago as a spin-off from the University of Ljubljana, Genialis is now headquartered in Boston but maintains strong ties to Slovenia, employing 22 local experts. Initially focused on tools for biologists, the firm shifted towards personalised medicine six years ago, now offering diagnostic insights that predict whether a patient is likely to respond to a specific cancer drug or treatment.

Genialis’ proprietary “Supermodel” analyses RNA data from a diverse range of patients using machine learning, boosting the likelihood of treatment success from 20–30% to as high as 65% when paired with their biomarkers. While the software is already used in research settings, the ultimate goal is to integrate it into routine clinical care. Despite the promise, challenges remain, including securing quality data and investment. Co-founders Rafael Rosengarten and Miha Štajdohar remain optimistic, believing AI-powered precision medicine is the future of effective cancer therapy.

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Llama 4 Maverick and Scout challenge top AI benchmarks

Meta has officially launched two of its new Llama 4 AI models, Maverick and Scout, following reported delays earlier in the year.

The release forms part of Meta’s wider ambition to build and open-source the world’s most powerful AI systems. Llama 4 Behemoth, another model announced alongside them, has yet to become available.

The newly released models go head-to-head with Google’s latest AI offerings. According to Meta, Llama 4 Maverick surpasses Gemini 2.0 (Flash) in benchmarks such as coding, reasoning, and image tasks, while Llama 4 Scout outperforms both Gemini 2.0 Flash Lite and Gemma 3 in summarisation and code analysis.

Google CEO Sundar Pichai offered unexpected congratulations to the Llama 4 team on social media, reflecting the high-profile nature of the launch.

Llama 4 Maverick features 17 billion active parameters and 128 experts, making it a versatile choice for general-purpose AI assistants and creative tasks.

Llama 4 Scout shares the same number of active parameters but with a leaner expert setup, tailored for more focused tasks like document summarisation and code reasoning. Meta plans to release additional advanced models, including Llama Behemoth and Llama Reasoning, in the near future.

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DeepSeek unveils new approach to improve AI reasoning

Chinese AI firm DeepSeek has unveiled a new method to improve LLM reasoning skills, claiming it offers more accurate and faster responses than current technologies. The approach, developed with researchers from Tsinghua University, combines generative reward modeling (GRM) with a self-principled critique tuning technique.

The method aims to refine how AI LLMs respond to general queries by better aligning their outputs with human preferences. According to a paper published on the arXiv scientific repository, the resulting DeepSeek-GRM models showed stronger performance than existing methods and proved competitive against widely accepted public reward models.

DeepSeek has announced intentions to release these models as open source, though no release date has been set. The move follows increased global interest in the company, which had earlier gained attention for its V3 foundation model and R1 reasoning model.

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Digital Morocco 2030 strategy focuses on tech-driven transformation

Morocco has set ambitious goals to boost its economy through investment in emerging technologies, aiming for a 10% increase in GDP by 2030. As part of its Digital Morocco 2030 strategy, the government is committing over 11 billion dirhams ($1.1 billion) by 2026 to drive digital transformation, create more than 240,000 jobs, and train 100,000 young people annually in digital skills.

The roadmap prioritises digitising government services through a Unified Administrative Services Portal, with the long-term goal of placing Morocco among the world’s top 50 tech nations. Blockchain plays a central role in this vision, being adopted to improve transparency and efficiency in public services, and already undergoing trials in private sectors like healthcare and finance.

Despite an ongoing official ban, digital asset ownership has surged, more than six million Moroccans now hold such assets, representing over 15% of the population. In parallel, the country is rapidly expanding its use of AI. Notably, Morocco has introduced AI into its judiciary, launched an AI-powered university learning system, and trained over 1,000 small- and medium-sized businesses in AI adoption through partnerships with LinkedIn and the European Bank for Reconstruction and Development.

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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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