New spyware threat alerts issued by Apple and Google

Apple and Google have issued a fresh round of cyber threat notifications, warning users worldwide they may have been targeted by sophisticated surveillance operations linked to state-backed actors.

Apple said it sent alerts on 2 December, confirming it has now notified users in more than 150 countries, though it declined to disclose how many people were affected or who was responsible.

Google followed on 3 December, announcing warnings for several hundred accounts targeted by Intellexa spyware across multiple countries in Africa, Central Asia, and the Middle East.

The Alphabet-owned company said Intellexa continues to evade restrictions despite US sanctions, highlighting persistent challenges in limiting the spread of commercial surveillance tools.

Researchers say such alerts raise costs for cyber spies by exposing victims, often triggering investigations that can lead to public scrutiny and accountability over spyware misuse.

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Real-time journalism becomes central to Meta AI strategy

Meta has signed commercial agreements with news publishers to feed real-time reporting into Meta AI, enabling its chatbot to answer news-related queries with up-to-date information from multiple editorial sources.

The company said responses will include links to full articles, directing users to publishers’ websites and helping partners reach new audiences beyond traditional platform distribution.

Initial partners span US and international outlets, covering global affairs, politics, entertainment, and sports, with Meta signalling that additional publishing deals are in the works.

The shift marks a recalibration. Meta previously reduced its emphasis on news across Facebook and ended most publisher payments, but now sees licensed reporting as essential to improving AI accuracy and relevance.

Facing intensifying competition in the AI market, Meta is positioning real-time journalism as a differentiator for its chatbot, which is available across its apps and to users worldwide.

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Creatives warn that AI is reshaping their jobs

AI is accelerating across creative fields, raising concerns among workers who say the technology is reshaping livelihoods faster than anyone expected.

A University of Cambridge study recently found that more than two-thirds of creative professionals fear AI has undermined their job security, and many now describe the shift as unavoidable.

One of them is Norwich-based artist Aisha Belarbi, who says the rise of image-generation tools has made commissions harder to secure as clients ‘can just generate whatever they want’. Although she works in both traditional and digital media, Belarbi says she increasingly struggles to distinguish original art from AI output. That uncertainty, she argues, threatens the value of lived experience and the labour behind creative work.

Others are embracing the change. Videographer JP Allard transformed his Milton Keynes production agency after discovering the speed and scale of AI-generated video. His company now produces multilingual ‘digital twins’ and fully AI-generated commercials, work he says is quicker and cheaper than traditional filming. Yet he acknowledges that the pace of change can leave staff behind and says retraining has not kept up with the technology.

For musician Ross Stewart, the concern centres on authenticity. After listening to what he later discovered was an AI-generated blues album, he questioned the impact of near-instant song creation on musicians’ livelihoods and exposure. He believes audiences will continue to seek human performance, but worries that the market for licensed music is already shifting towards AI alternatives.

Copywriter Niki Tibble has experienced similar pressures. Returning from maternity leave, she found that AI tools had taken over many entry-level writing tasks. While some clients still prefer human writers for strategy, nuance and brand voice, Tibble’s work has increasingly shifted toward reviewing and correcting AI-generated copy. She says the uncertainty leaves her unsure whether her role will exist in a decade.

Across these stories, creative workers describe a sector in rapid transition. While some see new opportunities, many fear the speed of adoption and a future where AI replaces the very work that has long defined their craft.

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ASEAN weighs efficiency against sovereignty as e-CNY spreads

The digital yuan’s planned 2025 expansion marks a shift in Asia’s financial plumbing, linking new regional payment channels to settle transactions faster than legacy systems and reduce reliance on the US dollar.

Usage data points to broader ambitions. Renminbi settlements in cross-border trade are rising, signalling that e-CNY has moved beyond domestic trials and is now a tool for currency internationalisation.

Beijing’s strategy becomes clearer in Southeast Asia, where the system promises efficiency while embedding influence. Deeper integration could narrow ASEAN monetary policy options and increase dependence on infrastructure controlled by China.

Responses across the region are uneven. Some states pursue national digital currencies or alternative payment projects, while others engage selectively, reflecting diverging priorities around efficiency, sovereignty and innovation.

Analysts warn that, without coordination, widespread e-CNY adoption could create a structural reliance. ASEAN faces a choice between fragmented pragmatism and collective action to shape its digital financial future.

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New interview study tracks how workers adapt to AI

Anthropic has unveiled Anthropic Interviewer, an AI-driven tool for large-scale workplace interviews. The system used Claude to conduct 1,250 structured interviews with professionals across the general workforce, creative fields and scientific research.

In surveys, 86 percent said AI saves time and 65 percent felt satisfied with its role at work. Workers often hoped to automate routine tasks while preserving responsibilities that define their professional identity.

Creative workers reported major time savings and quality gains yet faced stigma and economic anxiety around AI use. Many hid AI tools from colleagues, feared market saturation and still insisted on retaining creative control.

Across groups, professionals imagined careers where humans oversee AI systems rather than perform every task themselves. Anthropic plans to keep using Anthropic Interviewer to track attitudes and inform future model design.

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NITDA warns of prompt injection risks in ChatGPT models

Nigeria’s National Information Technology Development Agency (NITDA) has issued an urgent advisory on security weaknesses in OpenAI’s ChatGPT models. The agency warned that flaws affecting GPT-4o and GPT-5 could expose users to data leakage through indirect prompt injection.

According to NITDA’s Computer Emergency Readiness and Response Team, seven critical flaws were identified that allow hidden instructions to be embedded in web content. Malicious prompts can be triggered during routine browsing, search or summarisation without user interaction.

The advisory warned that attackers can bypass safety filters, exploit rendering bugs and manipulate conversation context. Some techniques allow injected instructions to persist across future interactions by interfering with the models’ memory functions.

While OpenAI has addressed parts of the issue, NITDA said large language models still struggle to reliably distinguish malicious data from legitimate input. Risks include unintended actions, information leakage and long-term behavioural influence.

NITDA urged users and organisations in Nigeria to apply updates promptly and limit browsing or memory features when not required. The agency said that exposing AI systems to external tools increases their attack surface and demands stronger safeguards.

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Son warns of vast AI leap as SoftBank outlines future risks

SoftBank chief Masayoshi Son told South Korean President Lee Jae Myung that advanced AI could surpass humans by an extreme margin. He suggested future systems may be 10,000 times more capable than people. The remarks came during a meeting in Seoul focused on national AI ambitions.

Son compared the potential intelligence gap to the difference between humans and goldfish. He said AI might relate to humans as humans relate to pets. Lee acknowledged the vision but admitted feeling uneasy about the scale of the described change.

Son argued that superintelligent systems would not threaten humans physically, noting they lack biological needs. He framed coexistence as the likely outcome. His comments followed renewed political interest in positioning South Korea as an AI leader.

The debate turned to cultural capability when Lee asked whether AI might win the Nobel Prize in Literature. Son said such an achievement was plausible. He pointed to fast-moving advances that continue to challenge expectations about machine creativity.

Researchers say artificial superintelligence remains theoretical, but early steps toward AGI may emerge within a decade. Many expect systems to outperform humans across a wide set of tasks. Policy discussions in South Korea reflect growing urgency around AI governance.

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AI advances turn sweat into a new health signal

Researchers in Australia are examining how sweat could support new forms of health monitoring. A recent study highlights its diagnostic potential when combined with machine learning, noting the appeal of simple, non-invasive collection for people already using wearables.

Early hydration patches show how sweat data is entering the sports and fitness space. Advances in microfluidics and flexible electronics have enabled thin, real-time sweat-sampling patches. UTS researchers say AI can extract useful biomarkers and deliver personalised insights for everyday tracking.

Experts say sweat remains underused despite carrying biological signals relevant to preventive care. UTS scientists point to gains from reading multiple biomarkers and sending data wirelessly for assessment. Improvements in pattern recognition now support more accurate interpretation.

Development work in Sydney, Australia, includes microfluidic devices that detect trace levels of glucose and cortisol. Most systems remain prototypes, yet commercial interest is increasing as companies explore non-invasive alternatives to blood-based testing.

The research team expects broader adoption as sensor accuracy improves. They anticipate wearables that monitor stress markers and help identify chronic conditions earlier, framing skin-based sensing combined with AI as a route to wider access to continuous health insights.

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GenAI gains ground as manufacturers overhaul shop-floor workflows

AI adoption in manufacturing is accelerating as generative tools are reshaping frontline roles. Many firms see connected worker platforms as a response to labour shortages and a draw for younger recruits. GenAI is emerging as a support layer that boosts productivity without displacing staff.

Operators face mixed training needs, language gaps and stricter safety demands. GenAI supports tailored instructions and smoother knowledge transfer, cutting documentation effort.

Retrieval is becoming more critical as factories digitise. Frontline teams need fast access to clear guidance across text, image and video formats. AI-enabled search interprets intent, reducing delays caused by navigating large content libraries.

Video-based guidance is rising in prominence as short-form media becomes a preferred way for younger workers to learn. AI can convert lengthy procedures into concise visual steps, while multilingual transcription expands accessibility for diverse teams across global operations.

The growing use of AI tools marks a shift toward more adaptive factory operations. Manufacturers view connected worker platforms as vital to competitiveness, with AI integration offering gains in engagement, safety and performance.

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LLM shortcomings highlighted by Gary Marcus during industry debate

Gary Marcus argued at Axios’ AI+ Summit that large language models (LLMs) offer utility but fall short of the transformative claims made by their developers. He framed their fundamental role as groundwork for future artificial general intelligence. He suggested that meaningful capability shifts lie beyond today’s systems.

Marcus said alignment challenges stem from LLMs lacking robust world models and reliable constraints. He noted that models still hallucinate despite explicit instructions to avoid errors. He described current systems as an early rehearsal rather than a route to AGI.

Concerns raised included bias, misinformation, environmental impact and implications for education. Marcus also warned about the decline of online information quality as automated content spreads. He believes structural flaws make these issues persistent.

Industry momentum remains strong despite unresolved risks. Developers continue to push forward without clear explanations for model behaviour. Investment flows remain focused on the promise of AGI, despite timelines consistently shifting.

Strategic competition adds pressure, with the United States seeking to maintain an edge over China in advanced AI. Political signals reinforce the drive toward rapid development. Marcus argued that stronger frameworks are needed before systems scale further.

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