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‘Have I been influenced, or is this actually me?’ How personal taste fell out of fashion

ai, AI (Artificial Intelligence), Artificial Intelligence, Digital media, Fashion, Life and style, Media, Social media, Society, Technology

Our favourite music, clothes and books used to be markers of individuality – but the algorithm has made us all sheep. Meet the style rebels fighting backWhat are you into? What floats your boat? What music, films, clothes, art, books – anything, really – do you actually like? Do you find these questions more difficult to […]

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‘I should know better’: tech expert lost £70,000 in one simple phone call

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Consumer affairs, Lloyds Banking Group, Money, Scams, Technology, UK news, YouTube

After falling for a scam call, ‘The Tech Chap’ host Tom Honeyands realised he’d given away vital details in social media postsWhen Tom Honeyands realised he had been defrauded out of £70,000 he was furious and embarrassed – and left wondering if he had given away too many details on his social media vidoes.Honeyands was

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Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Infrastructure, AI Shorts, Applications, Artificial Intelligence, Editors Pick, New Releases, Open Source, Python, Software engineering, Staff, Tech News, Technology

Databricks released Omnigent, an open source ‘meta-harness’ for AI agents. The project ships under the Apache 2.0 license. The Databricks AI team built it with Neon. A harness is the wrapper around a model that turns it into an agent. Claude Code, Codex, and Pi are harnesses. Omnigent sits one level above them. It treats

Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi Read More »

Anthropic to disable its most advanced AI models after US order limiting foreign access

ai, AI (Artificial Intelligence), Artificial Intelligence, Technology, Trump administration, US news

Company said US government believes safeguards can be bypassed and product used to identify software vulnerabilitiesAnthropic said it will “abruptly disable” its most advanced AI models for all users after the US government ordered it to suspend access to the models for foreign nationals, citing national security concerns.The company received the export control directive to

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UK sets out AI infrastructure push at London Tech Week – how does it stack up?

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, Computing, Defence policy, Digital media, infrastructure, Media, Politics, productivity, Social media, Technology, Technology sector, UK news, US news, World news

Government announces plans to invest billions, but questions linger over how its proposals on chips, social media and more will workOwnership of the commanding heights of the AI economy is a political talking point around the world, as countries seek to assert some control of a technology dominated by the US and China.London Tech Week,

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Pioneering UK Nerve Lab harnesses AI to map effect of children’s screen time

ai, AI (Artificial Intelligence), Artificial Intelligence, Children, Computing, Culture, Education, Research, Society, Technology, Television & radio, University of the Arts London

Other projects include developing tools to help visually impaired people navigate video games Parents are constantly being told to limit their children’s screen time. But when it comes to deciphering which films or TV shows are best suited to developing minds, the guidance remains largely one-size-fits-all. A relatively slow-paced programme such as Bluey offers a

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‘Why would you put a toxic product into the hands of a young child?’: director turned activist Beeban Kidron on why big tech needs its ‘tobacco moment’

ai, AI (Artificial Intelligence), Artificial Intelligence, Beeban Kidron, Bridget Jones: the Edge of Reason, Children, Children's rights, Children's tech, Computing, Culture, Film, Online abuse, Society, Technology

In her work as an online safety campaigner, the baroness and Bridget Jones director has seen things she can never unsee – and she’s furious at the tech overlords doing nothing to stop the abuseThrough the open windows behind Beeban Kidron drifts the unmistakable sound of children playing. Her north ­London office is sandwiched between

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UK parents support an under-16 social media ban – but what do their children think?

ai, AI (Artificial Intelligence), Artificial Intelligence, Children, Digital media, Instagram, Internet safety, Media, Snapchat, Social media, Social media ban, Society, Technology, TikTok, UK news

These young people recognise dangers of ‘addictive’ social media but have differing views on a total crackdownNine in 10 parents in the UK support an under-16 social media ban, but the feeling among the children it would affect is more mixed. Or at least it is for a group of 10 preteens and teenagers who

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Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Shorts, Applications, Artificial Intelligence, Editors Pick, For Devs, Language Model, Large Language Model, Machine Learning, Open Source, Software engineering, Staff, Tech News, Technology

This week, Moonshot AI released Kimi K2.7-Code. It is a coding-focused, agentic model. The model weights ship on Hugging Face under a Modified MIT license. You can also reach it through the Kimi API and Kimi Code. K2.7-Code targets long-horizon software engineering, not general chat. It plans, edits, runs tools, and debugs across many steps.

Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6 Read More »

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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric

ai, AI (Artificial Intelligence), Artificial Intelligence, Big Data, Dataset, Editors Pick, Machine Learning, Staff, Technology, Tutorials

In this tutorial, we build an end-to-end spatial graph learning pipeline using city2graph. We start by collecting real urban POI data and street network information from OpenStreetMap, with a synthetic fallback to ensure the workflow remains reliable. We then engineer spatial features, construct multiple proximity graph families, and compare how different graph-building strategies represent the

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