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Sam Altman’s make-or-break year: can the OpenAI CEO cash in his bet on the future?

Altman’s campaigning for his company coincides with its use of enormous present resources to serve an imagined futureSam Altman has claimed over the years that the advancement of AI could solve climate change, cure cancer, create a benevolent superintelligence beyond human comprehension, provide a tutor for every student, take over nearly half of the tasks […]

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AI needs to augment rather than replace humans or the workplace is doomed | Heather Stewart

Tech could lose its social acceptance unless it makes people’s lives better – and trade unions want an urgent conversation “Who wouldn’t want a robot to watch over your kids?” Elon Musk asked Davos delegates last week, as he looked forward with enthusiasm to a world with “more robots than people”.Not me, thanks: children need

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AI-generated British schoolgirl becomes far-right social media meme

Amelia, created to deter young people from extremism, has been subverted and is breaking out of niche online silosIn certain corners of the internet, on niche news feeds and algorithms, an AI-generated British schoolgirl has emerged as something of a cultural phenomenon.Her name is Amelia, a purple-haired “goth girl” who proudly carries a mini union

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Australian journalism ‘sidelined’ in AI-generated news summaries on Copilot, research shows

Exclusive: Experts say AI is likely to create more news deserts, fewer independent voices and threaten the viability of Australian journalismGet our breaking news email, free app or daily news podcastAustralian journalism is largely “invisible” in AI-generated news summaries from Microsoft Copilot, which overwhelmingly favour US or European media, research by the University of Sydney

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Google AI Overviews cite YouTube more than any medical site for health queries, study suggests

Exclusive: German research into responses to health queries raises fresh questions about summaries seen by 2bn people a month• How the ‘confident authority’ of AI Overviews is putting public health at riskGoogle’s search feature AI Overviews cites YouTube more than any medical website when answering queries about health conditions, according to research that raises fresh

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How the ‘confident authority’ of Google AI Overviews is putting public health at risk

Experts say tool can give ‘completely wrong’ medical advice which could put users at risk of serious harm• AI Overviews cite YouTube more than any medical site, study suggestsDo I have the flu or Covid? Why do I wake up feeling tired? What is causing the pain in my chest? For more than two decades,

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Latest ChatGPT model uses Elon Musk’s Grokipedia as source, tests reveal

Guardian found OpenAI’s platform cited Grokipedia on topics including Iran and Holocaust deniersThe latest model of ChatGPT has begun to cite Elon Musk’s Grokipedia as a source on a wide range of queries, including on Iranian conglomerates and Holocaust deniers, raising concerns about misinformation on the platform.In tests done by the Guardian, GPT-5.2 cited Grokipedia

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The influencer World Cup: Fifa and the TikTok deal targeting an avalanche of posts

Partnership with tech giant speaks to push to engage younger fans but also has wider strategic goals in mindIn this World Cup year, Fifa has come out of the blocks quickly. In the past few weeks any number of initiatives have been announced or activated, from a data partnership with Opta to facilitate more betting,

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How Machine Learning and Semantic Embeddings Reorder CVE Vulnerabilities Beyond Raw CVSS Scores

In this tutorial, we build an AI-assisted vulnerability scanner that goes beyond static CVSS scoring and instead learns to prioritize vulnerabilities using semantic understanding and machine learning. We treat vulnerability descriptions as rich linguistic artifacts, embed them using modern sentence transformers, and combine these representations with structural metadata to produce a data-driven priority score. Also,

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How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints?

In this tutorial, we build a cost-aware planning agent that deliberately balances output quality against real-world constraints such as token usage, latency, and tool-call budgets. We design the agent to generate multiple candidate actions, estimate their expected costs and benefits, and then select an execution plan that maximizes value while staying within strict budgets. With

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