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Growing scrutiny over AI errors in professional use

Judges and employers are confronting a surge in AI-generated mistakes, from fabricated legal citations to inaccurate workplace data. Courts in the United States have already recorded hundreds of flawed filings, raising concerns about unchecked reliance on generative systems.

Experts urge professionals to treat AI as an assistant rather than an authority. Tools can support research and report writing, yet unchecked outputs often contain subtle inaccuracies that could mislead users or damage reputations.

Data scientist Damien Charlotin has identified nearly 500 court documents containing false AI-generated information within months. Even established firms have faced judicial penalties after submitting briefs with non-existent case references, underlining growing professional risks.

Workplace advisers recommend verifying AI results, protecting confidential information, and obtaining consent when using digital notetakers. Training and prompt literacy are becoming essential skills as AI tools continue shaping daily operations across industries.

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AI performance improves by mimicking human brain networks

Scientists at the University of Surrey have developed a new method to make artificial intelligence smarter by copying the way the human brain works. Their approach, called Topographical Sparse Mapping, connects AI ‘neurons’ only to nearby or related ones, mimicking how the brain organises information efficiently.

An advanced version, Enhanced Topographical Sparse Mapping, prunes unneeded connections during training, similar to how the brain strengthens useful pathways as it learns. Researchers are also exploring applications in neuromorphic computing, which designs computer systems to mimic the structure and function of the human brain.

The approach helps AI models, including tools like ChatGPT, work better while using less electricity. Traditional AI training can waste huge amounts of energy, but the new brain-inspired design cuts unnecessary connections without losing accuracy.

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Millions turn to AI to manage finances across the UK

AI is playing an increasingly important role in personal finance, with over 28 million UK adults using AI over the past year.

Lloyds Banking Group’s latest Consumer Digital Index reveals that many individuals turn to platforms like ChatGPT for budgeting, savings planning, and financial education, reporting an average annual savings of £399 through AI insights.

Digital confidence strongly supports financial empowerment. Two-thirds of internet users report that online tools enhance their ability to manage money, while those with higher digital skills experience lower stress and greater control over their finances.

Regular engagement with AI and other digital tools enhances both knowledge and confidence in financial decision-making.

Trust remains a significant concern despite growing usage. Around 80% of users worry about inaccurate information or insufficient personalisation, emphasising the need for reliable guidance.

Jas Singh, CEO of Consumer Relationships at Lloyds, highlights that banks must combine AI innovation with trusted expertise to help people make more intelligent choices and build long-term financial resilience.

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Saudi Arabia pushes global AI ambitions with Humain

Saudi Arabia is accelerating its ambitions in AI with the launch of Humain, a homegrown AI company backed by the kingdom’s $1 trillion sovereign wealth fund. The company, financed by the Public Investment Fund, aims to offer a wide range of AI services and tools, including an Arabic large language model capable of understanding diverse dialects and observing Islamic values.

The company has secured major deals to expand its operations, including a $3 billion data centre project with Blackstone’s AirTrunk, a partnership with US chipmaker Qualcomm, and a significant stake acquisition by state-owned Saudi Aramco. The agreements aim to boost AI integration across the kingdom’s key sectors.

Challenges remain, from talent shortages to access to advanced technology, while regional competition is strong. Yet Humain’s leadership remains confident, aiming to position Saudi Arabia as a major player in the global AI landscape.

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Brain-inspired networks boost AI performance and cut energy use

Researchers at the University of Surrey have developed a new method to enhance AI by imitating how the human brain connects information. The approach, called Topographical Sparse Mapping, links each artificial neuron only to nearby or related ones, replicating the brain’s efficient organisation.

According to findings published in Neurocomputing, the structure reduces redundant connections and improves performance without compromising accuracy. Senior lecturer Dr Roman Bauer said intelligent systems can now be designed to consume less energy while maintaining power.

Training large models today often requires over a million kilowatt-hours of electricity, a trend he described as unsustainable.

An advanced version, Enhanced Topographical Sparse Mapping, introduces a biologically inspired pruning process that refines neural connections during training, similar to how the brain learns.

Researchers believe that the system could contribute to more realistic neuromorphic computers, which simulate brain functions to process data more efficiently.

The Surrey team said that such a discovery may advance generative AI systems and pave the way for sustainable large-scale model training. Their work highlights how lessons from biology can shape the next generation of energy-efficient computing.

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Unexpected language emerges as best for AI prompting

A new joint study by the University of Maryland and Microsoft has found that Polish is the most effective language for prompting AI, outperforming 25 others, including English, French, and Chinese.

The researchers tested leading AI models, including OpenAI, Google Gemini, Qwen, Llama, and DeepSeek, by providing identical prompts in 26 languages. Polish achieved an average accuracy of 88 percent, securing first place. English, often seen as the natural choice for AI interaction, came only sixth.

According to the study, Polish proved to be the most precise in issuing commands to AI, despite the fact that far less Polish-language data exists for model training. The Polish Patent Office noted that while humans find the language difficult, AI systems appear to handle it with remarkable ease.

Other high-performing languages included French, Italian, and Spanish, with Chinese ranking among the lowest. The finding challenges the widespread assumption that English dominates AI communication and could reshape future research on multilingual model optimisation.

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Perplexity launches AI-powered patent search to make innovation intelligence accessible

The US software company, Perplexity, has unveiled Perplexity Patents, the first AI-powered patent research agent designed to democratise access to intellectual property intelligence. The new tool allows anyone to explore patents using natural language instead of complex keyword syntax.

Traditional patent research has long relied on rigid search systems that demand specialist knowledge and expensive software.

Perplexity Patents instead offers conversational interaction, enabling users to ask questions such as ‘Are there any patents on AI for language learning?’ or ‘Key quantum computing patents since 2024?’.

The system automatically identifies relevant patents, provides inline viewing, and maintains context across multiple questions.

Powered by Perplexity’s large-scale search infrastructure, the platform uses agentic reasoning to break down complex queries, perform multi-step searches, and return comprehensive results supported by extensive patent documentation.

Its semantic understanding also captures related concepts that traditional tools often miss, linking terms such as ‘fitness trackers’, ‘activity bands’, and ‘health monitoring wearables’.

Beyond patent databases, Perplexity Patents can also draw from academic papers, open-source code, and other publicly available data, revealing the entire landscape of technological innovation. The service launches today in beta, free for all users, with extra features for Pro and Max subscribers.

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Japan’s KDDI partners with Google for AI-driven news service

Japan’s telecom leader KDDI is set to partner with Google to introduce an AI-powered news search service in spring 2026. The platform will use Google’s Gemini model to deliver articles from authorised Japanese media sources while preventing copyright violations.

The service will cite original publishers and exclude independent web scraping, addressing growing global concerns about the unauthorised use of journalism by generative AI systems. Around six domestic media companies, including digital outlets, are expected to join the initiative.

KDDI aims to strengthen user trust by offering reliable news through a transparent and copyright-safe AI interface. Details of how the articles will appear to users are still under review, according to sources familiar with the plan.

The move follows lawsuits filed in Tokyo by major Japanese newspapers, including Nikkei and Yomiuri, against US startup Perplexity AI over alleged copyright infringement. Industry experts say KDDI’s collaboration could become a model for responsible AI integration in news services.

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Apple plans to integrate multiple AI systems into Apple Intelligence

In a recent interview, Tim Cook confirmed that Apple plans to integrate more third-party AI systems into its new Apple Intelligence offering, describing the ambition as ‘over time’ and indicating both internal development and potential mergers and acquisitions.

Cook referenced existing integrations, such as the embedding of ChatGPT into Siri, and confirmed that other models like Google Gemini are under consideration.

He also emphasised that Apple remains open to acquiring AI companies that align with its roadmap for Apple Intelligence.

However, this announcement marks Apple’s strategic pivot in the AI era, shifting from a primarily closed system to one that supports a pluralistic ecosystem of AI tools.

The move has implications for how we think about platform-economy power, AI governance and interoperability.

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Australian police create AI tool to decode predators’ slang

Australian police are developing an AI tool with Microsoft to decode slang and emojis used by online predators. The technology is designed to interpret coded messages in digital conversations to help investigators detect harmful intent more quickly.

Federal Police Commissioner Krissy Barrett said social media has become a breeding ground for exploitation, bullying, and radicalisation. The AI based prototype, she explained, could allow officers to identify threats earlier and rescue children before abuse occurs.

Barrett also warned about the rise of so-called ‘crimefluencers’, offenders using social media trends to lure young victims, many of whom are pre-teen or teenage girls. Australian authorities believe understanding modern online language is key to disrupting their methods.

The initiative follows Australia’s new under-16 social media ban, due to take effect in December. Regulators worldwide are monitoring the country’s approach as governments struggle to balance online safety with privacy and digital rights.

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