Development

AI content flood drives ‘slop’ to word of the year

Merriam-Webster has chosen ‘slop’ as its 2025 word of the year, reflecting the rise of low-quality digital content produced by AI. The term originally meant soft mud, but now describes absurd or fake online material.

Greg Barlow, Merriam-Webster’s president, said the word captures how AI-generated content has fascinated, annoyed and sometimes alarmed people. Tools like AI video generators can produce deepfakes and manipulated clips in seconds.

The spike in searches for ‘slop’ shows growing public awareness of poor-quality content and a desire for authenticity. People want real, genuine material rather than AI-driven junk content.

AI-generated slop includes everything from absurd videos to fake news and junky digital books. Merriam-Webster selects its word of the year by analysing search trends and cultural relevance.

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OpenAI’s rise signals a shift in frontier tech investment

OpenAI overtook SpaceX as the world’s most valuable private company in October after a secondary share sale valued the AI firm at $500 billion. The deal put Sam Altman’s company about $100 billion ahead of Elon Musk’s space venture.

That lead may prove short-lived, as SpaceX is now planning its own secondary share sale that could value the company at around $800 billion. An internal letter seen by multiple outlets suggests Musk would reclaim the top spot within months.

The clash is the latest chapter in a rivalry that dates back to OpenAI’s founding in 2015, before Musk left the organisation in 2018 and later launched the startup xAI. Since then, lawsuits and public criticism have marked a sharp breakdown in relations.

Musk also confirmed on X that SpaceX is exploring a major initial public offering, while OpenAI’s recent restructuring allows it to pursue an IPO in the future. The valuation battle reflects soaring investor appetite for frontier technologies, as AI, space, robotics and defence startups attract unprecedented private funding.

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Google boosts Translate with Gemini upgrades

Google is rolling out a major Translate upgrade powered by Gemini to improve text and speech translation. The update enhances contextual understanding so idioms, tone and intent are interpreted more naturally.

A beta feature for live headphone translation enables real-time speech-to-speech output. Gemini processes audio directly, preserving cadence and emphasis to improve conversations and lectures. Android users in the US, Mexico and India gain early access, with wider availability planned for 2026.

Translate is also gaining expanded language-learning tools for speaking practice and progress tracking. Additional language pairs, including English to German and Portuguese, broaden support for learners worldwide.

Google aims to reduce friction in global communication by focusing on meaning rather than literal phrasing. Engineers expect user feedback to shape the AI live translation beta across platforms.

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Building trustworthy AI for humanitarian response

A new vision for Humanitarian AI is emerging around a simple idea, and that is that technology should grow from local knowledge if it is to work everywhere. Drawing on the IFRC’s slogan ‘Local, everywhere,’ this approach argues that AI should not be driven by hype or raw computing power, but by the lived experience of communities and humanitarian workers on the ground. With millions of volunteers and staff worldwide, the Red Cross and Red Crescent Movement holds a vast reservoir of practical knowledge that AI can help preserve, organise, and share for more effective crisis response.

In a recent blog post, Jovan Kurbalija explains that this bottom-up approach is not only practical but also ethically sound. AI systems grounded in local humanitarian knowledge can better reflect cultural and social contexts, reduce bias and misinformation, and strengthen trust by being governed by humanitarian organisations rather than opaque commercial platforms. Trust, he argues, lies in people and institutions behind the technology, not in algorithms themselves.

Kurbalija also notes that developing such AI is technically and financially realistic. Open-source models, mobile and edge computing, and domain-specific AI tools enable the deployment to functional systems even in low-resource environments. Most humanitarian tasks, from decision support to translation or volunteer guidance, do not require massive infrastructure, but high-quality, well-structured knowledge rooted in real-world experience.

If developed carefully, Humanitarian AI could also support the IFRC’s broader renewal goals, from strengthening local accountability and collaboration to safeguarding independence and humanitarian principles. Starting with small pilot projects and scaling up gradually, the Movement could transform AI into a shared public good that not only enhances responses to today’s crises but also preserves critical knowledge for future generations.

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CES 2026 to feature LG’s new AI-driven in-car platform

LG Electronics will unveil a new AI Cabin Platform at CES 2026 in Las Vegas, positioning the system as a next step beyond today’s software-defined vehicles and toward what the company calls AI-defined mobility.

The platform is designed to run on automotive high-performance computing systems and is powered by Qualcomm Technologies’ Snapdragon Cockpit Elite. LG says it applies generative AI models directly to in-vehicle infotainment, enabling more context-aware and personalised driving experiences.

Unlike cloud-dependent systems, all AI processing occurs on-device within the vehicle. LG says this approach enables real-time responses while improving reliability, privacy, and data security by avoiding communication with external servers.

Using data from internal and external cameras, the system can assess driving conditions and driver awareness to provide proactive alerts. LG also demonstrated adaptive infotainment features, including AI-generated visuals and music suggestions that respond to weather, time, and driving context.

LG will showcase the AI Cabin Platform at a private CES event, alongside a preview of its AI-defined vehicle concept. The company says the platform builds on its expanding partnership with Qualcomm Technologies and on its earlier work integrating infotainment and driver-assistance systems.

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Indonesia fines Platform X for pornographic content violations

Platform X has paid an administrative fine of nearly Rp80 million after failing to meet Indonesia’s content moderation requirements related to pornographic material, according to the country’s digital regulator.

The Ministry of Communication and Digital Affairs said the payment was made on 12 December 2025, after a third warning letter and further exchanges with the company. Officials confirmed that Platform X appointed a representative to complete the process, who is based in Singapore.

The regulator welcomed the company’s compliance, framing the payment as a demonstration of responsibility by an electronic system operator under Indonesian law. Authorities said the move supports efforts to keep the national digital space safe, healthy, and productive.

All funds were processed through official channels and transferred directly to the state treasury managed by the Ministry of Finance, in line with existing regulations, the ministry said.

Officials said enforcement actions against domestic and global platforms, including those operating from regional hubs such as Singapore, remain a priority. The measures aim to protect children and vulnerable groups and encourage stronger content moderation and communication.

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Universities back generative AI but guidance remains uneven

A majority of leading US research universities are encouraging the use of generative AI in teaching, according to a new study analysing institutional policies and guidance documents across higher education.

The research reviewed publicly available policies from 116 R1 universities and found that 63 percent explicitly support the use of generative AI, while 41 percent provide detailed classroom guidance. More than half of the institutions also address ethical considerations linked to AI adoption.

Most guidance focuses on writing-related activities, with far fewer references to coding or STEM applications. The study notes that while many universities promote experimentation, expectations placed on faculty can be demanding, often implying significant changes to teaching practices.

US researchers also found wide variation in how universities approach oversight. Some provide sample syllabus language and assignment design advice, while others discourage the use of AI-detection tools, citing concerns around reliability and academic trust.

The authors caution that policy statements may not reflect real classroom behaviour and say further research is needed to understand how generative AI is actually being used by educators and students in practice.

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Conduit revolutionises neuro-language research with 10,000-hour dataset

A San Francisco start-up, named Conduit, has spent six months building what it claims is the largest neural language dataset ever assembled, capturing around 10,000 hours of non-invasive brain recordings from thousands of participants.

The project aims to train thought-to-text AI systems that interpret semantic intent from brain activity moments before speech or typing occurs.

Participants take part in extended conversational sessions instead of rigid laboratory tasks, interacting freely with large language models through speech or simplified keyboards.

Engineers found that natural dialogue produced higher quality data, allowing tighter alignment between neural signals, audio and text while increasing overall language output per session.

Conduit developed its own sensing hardware after finding no commercial system capable of supporting large-scale multimodal recording.

Custom headsets combine multiple neural sensing techniques within dense training rigs, while future inference devices will be simplified once model behaviour becomes clearer.

Power systems and data pipelines were repeatedly redesigned to balance signal clarity with scalability, leading to improved generalisation across users and environments.

As data volume increased, operational costs fell through automation and real time quality control, allowing continuous collection across long daily schedules.

With data gathering largely complete, the focus has shifted toward model training, raising new questions about the future of neural interfaces, AI-mediated communication and cognitive privacy.

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Europe risks falling behind without telecom scale, Telefónica says

Telefónica has called for a shift in Europe’s telecommunications policy, arguing that market fragmentation is undermining investment, digital competitiveness, and the continent’s technological sovereignty, according to a new blog post from the company.

In the post, Telefónica says Europe’s emphasis on maximising retail competition has produced a highly fragmented operator landscape. It cites industry data showing the average European operator serves around five million customers, far fewer than peers in the United States or China.

The company argues that this lack of scale explains Europe’s lower per-capita investment in telecoms infrastructure and is slowing the rollout of technologies such as standalone 5G, fibre networks, and sovereign cloud and AI platforms.

Telefónica points to recent reports by Mario Draghi and Enrico Letta as signs of a policy shift, with EU institutions placing greater weight on investment capacity, resilience, and dynamic efficiency alongside traditional competition objectives.

The blog post concludes that Europe faces a strategic choice between preserving fragmented markets or enabling responsible consolidation. Telefónica says carefully regulated mergers could support sustainability, reduce regional digital divides, and strengthen Europe’s digital infrastructure.

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How data centres affect electricity, prices, water consumption and jobs

Data centres have become critical infrastructure for modern economies, supporting services ranging from digital communications and online commerce to emergency response systems and financial transactions.

As AI expands, demand for cloud computing continues to accelerate, increasing the need for additional data centre capacity worldwide.

Concerns about environmental impact often focus on electricity and water use, yet recent data indicate that data centres are not primary drivers of higher power prices and consume far less water than many traditional industries.

Studies show that rising electricity costs are largely linked to grid upgrades, climate-related damage and fuel prices instead of large-scale computing facilities, while water use by data centres remains a small fraction of overall consumption.

Technological improvements have further reduced resource intensity. Operators have significantly improved water efficiency per unit of computing power, adopting closed-loop liquid cooling and advanced energy management systems.

In many regions, water is required only intermittently, with consumption levels lower than those in sectors such as clothing manufacturing, agriculture and automotive services.

Beyond digital services, data centres deliver tangible economic benefits to local communities. Large-scale investments generate construction activity, long-term technical employment and stable tax revenues, while infrastructure upgrades and skills programmes support regional development.

As cloud computing and AI continue to shape everyday life, data centres are increasingly positioned as both economic and technological anchors.

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