Client Brief

Clients wanted a mixture of London news for an audience of London commuter readers. The goal was to deliver timely, engaging, and location-relevant stories that resonate with busy professionals on the go. Content had to maintain journalistic quality while being optimized for mobile consumption and AI-driven syndication via NoahWire’s advanced article generation platform.

London News

2025 marked a pivotal year as breakthroughs in large language models and multimodal systems propelled artificial intelligence from speculation to real-world deployment, sparking a global race in infrastructure, investment, and societal impact. In 2025 the promise of artificial intelligence moved irreversibly from speculative fiction into operational reality, reshaping technology, capital flows, employment and everyday life. According to 36Kr’s year‑end review, the year saw large language models (LLMs) and multimodal systems make leaps in reasoning and agentic behaviour that transformed industry conversations about the proximity of artificial general intelligence (AGI) and the first signs of artificial superintelligence (ASI). [1] Technical progress…

A UK parliamentary report disputes the notion that environmental protections hinder housing development, highlighting skills shortages and resource issues as primary obstacles in meeting ambitious targets. An inquiry by MPs has decisively found that nature is not a barrier to housing growth, directly challenging claims made by UK government ministers…

Struggles with street clutter and pest issues in Tower Hamlets prompt trials of subterranean waste bins, signalling a potential shift in London’s approach to urban refuse collection amidst rising frustrations and innovative solutions. Loïc Frémond’s experience encapsulates the growing frustration among residents in parts of London, particularly in Tower Hamlets,…

Recent local power surges and a massive solar flare highlight society’s fragile dependence on digital infrastructure, raising fears of catastrophic disruptions akin to the historic Carrington Event that could cripple modern life. An explosion resembling a bomb rocked windows and plunged a Bristol neighbourhood into darkness during a thunderstorm, with…

Recent innovations in Reinforcement Learning from Human Feedback (RLHF) are revolutionising how large language models are aligned with human values, blending scalability with safety to create more responsible AI systems, despite persistent challenges like bias and hallucinations. Reinforcement Learning from Human Feedback (RLHF) has emerged as a pivotal technique in…

The digital transformation of solar power plants has reached a pivotal stage, where Supervisory Control and Data Acquisition (SCADA) systems have become the backbone of smart solar operations. No longer mere collections of photovoltaic panels, modern solar installations leverage advanced SCADA architectures to ensure real-time visibility, seamless control, and comprehensive…

Researchers from Presidency University have developed JobSphere, a sophisticated AI career assistant for Punjab’s employment platform. Utilising a cost-effective, multilingual Llama 3.2 model with advanced features, the platform aims to significantly improve usability for job seekers through enhanced accuracy, accessibility, and automation. Government employment portals are often fraught with usability…

Enterprise AI in 2026 is shifting focus from massive models to specialised, autonomous systems that enhance operational efficiency, despite adoption challenges and scepticism about business value. In 2026, the generative artificial intelligence (AI) landscape is witnessing a profound shift away from the pursuit of ever-larger models towards more specialised, right-sized…

A novel hybrid metaheuristic, AQSCA, integrates sine-cosine dynamics, Levy flights, and chaotic sequences to enhance exploration and exploitation, outperforming conventional algorithms in high-dimensional and real-world engineering problems. The Sine Cosine Algorithm (SCA), initially proposed by Mirjalili, represents a novel, population-based metaheuristic optimizer designed to solve complex real-world optimization problems through…

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