Illinois Governor JB Pritzker says Trump to deploy 400 National Guard troops from Texas to'invade' liberal states Mark Sanchez's alleged victim's family breaks silence as grim photos emerge after violent attack Trump reveals plan to'restore the American Dream' by unlocking 2 million lots for new homes He slaughtered her son in cold blood. But mom of Idaho murder victim reveals why she is happy NEVER knowing Bryan Kohberger's motive I ran America's infamous Supermax prison. Hell awaits 37 killers Joe Biden refused to execute... but a notorious villain did beat the system Trump's immigration guru Stephen Miller gets called'the face of evil' by his own cousin Charlize Theron ignores former co-star Johnny Depp while greeting Bernard Arnault and Brigitte Macron as she shuns his'slow return to the spotlight' at Dior PFW after court case South Carolina judge's $1.5M beachfront home burned to the ground in possible arson attack just weeks after brutal decision against Trump administration Meghan Markle savaged for'utterly bewildering' Instagram video as she's driven past Diana crash tunnel with feet on the seat... and royal expert suggests Harry could take a dim view A near-death experience left Eric Dane in tears, forced to confront his terminal diagnosis but would it stop his wife from abandoning him? 'Dirty hippies' lose 25-year battle to save their homes after their community was deemed a 12-acre bio-hazard It was a dream vacation. But then my vision went and I could barely breathe.

How does AI affect how we learn? When OpenAI released " study mode " in July 2025, the company touted ChatGPT's educational benefits. "When ChatGPT is prompted to teach or tutor, it can significantly improve academic performance," the company's vice president of education told reporters at the product's launch. But any dedicated teacher would be right to wonder: Is this just marketing, or does scholarly research really support such claims? While generative AI tools are moving into classrooms at lightning speed, robust research on the question at hand hasn't moved nearly as fast.

OpenAI's Sora 2 app allows users to make AI-generated videos based on a text prompt. OpenAI's Sora 2 app allows users to make AI-generated videos based on a text prompt. Company behind the AI video app says it will work with rights holders to'block characters from Sora at their request' Mon 6 Oct 2025 00.10 EDTLast modified on Mon 6 Oct 2025 00.11 EDT Sora 2, a video generator powered by artificial intelligence, was launched last week on an invite-only basis. The app allows users to generate short videos based on a text prompt. Varun Shetty, OpenAI's head of media partnerships, said: "We'll work with rights holders to block characters from Sora at their request and respond to takedown requests."

OpenAI CEO Sam Altman speaks in Washington in July. OpenAI signed a multiyear partnership Monday with chipmaker Advanced Micro Devices as the ChatGPT-maker continues an investment spree to secure massive amounts of computing power for rolling out generative artificial intelligence. The companies announced the plan to develop AI data centers that the chipmaker said would bring in tens of billions of dollars in new revenue over the next five years. AMD's share price surged 35% when markets opened on news of the agreement that would see the company deliver six gigawatts worth of chips to the ChatGPT-maker. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

The development of generative artificial intelligence (AI) tools capable of producing wholly or partially synthetic child sexual abuse material (AI CSAM) presents profound challenges for child protection, law enforcement, and societal responses to child exploitation. While some argue that the harmfulness of AI CSAM differs fundamentally from other CSAM due to a perceived absence of direct victimization, this perspective fails to account for the range of risks associated with its production and consumption. AI has been implicated in the creation of synthetic CSAM of children who have not previously been abused, the revictimization of known survivors of abuse, the facilitation of grooming, coercion and sexual extortion, and the normalization of child sexual exploitation. Additionally, AI CSAM may serve as a new or enhanced pathway into offending by lowering barriers to engagement, desensitizing users to progressively extreme content, and undermining protective factors for individuals with a sexual interest in children. This paper provides a primer on some key technologies, critically examines the harms associated with AI CSAM, and cautions against claims that it may function as a harm reduction tool, emphasizing how some appeals to harmlessness obscure its real risks and may contribute to inertia in ecosystem responses.

Pun generation seeks to creatively modify linguistic elements in text to produce humour or evoke double meanings. It also aims to preserve coherence and contextual appropriateness, making it useful in creative writing and entertainment across various media and contexts. Although pun generation has received considerable attention in computational linguistics, there is currently no dedicated survey that systematically reviews this specific area. To bridge this gap, this paper provides a comprehensive review of pun generation datasets and methods across different stages, including conventional approaches, deep learning techniques, and pre-trained language models. Additionally, we summarise both automated and human evaluation metrics used to assess the quality of pun generation. Finally, we discuss the research challenges and propose promising directions for future work.

Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHAs) are a foundational component of web security, yet traditional implementations suffer from a trade-off between usability and resilience against AI-powered bots. This paper introduces a novel hybrid CAPTCHA system that synergizes the cognitive challenges posed by Large Language Models (LLMs) with the behavioral biometric analysis of keystroke dynamics. Our approach generates dynamic, unpredictable questions that are trivial for humans but non-trivial for automated agents, while simultaneously analyzing the user's typing rhythm to distinguish human patterns from robotic input. We present the system's architecture, formalize the feature extraction methodology for keystroke analysis, and report on an experimental evaluation. The results indicate that our dual-layered approach achieves a high degree of accuracy in bot detection, successfully thwarting both paste-based and script-based simulation attacks, while maintaining a high usability score among human participants. This work demonstrates the potential of combining cognitive and behavioral tests to create a new generation of more secure and user-friendly CAPTCHAs.

The adoption of generative AI and large language models (LLMs) in education is still emerging. In this study, we explore the development and evaluation of AI teaching assistants that provide curriculum-based guidance using a retrieval-augmented generation (RAG) pipeline applied to selected open-source small language models (SLMs). We benchmarked eight SLMs, including LLaMA 3.1, IBM Granite 3.3, and Gemma 3 (7-17B parameters), against GPT-4o. Our findings show that with proper prompting and targeted retrieval, SLMs can match LLMs in delivering accurate, pedagogically aligned responses. Importantly, SLMs offer significant sustainability benefits due to their lower computational and energy requirements, enabling real-time use on consumer-grade hardware without depending on cloud infrastructure. This makes them not only cost-effective and privacy-preserving but also environmentally responsible, positioning them as viable AI teaching assistants for educational institutions aiming to scale personalized learning in a sustainable and energy-efficient manner.

'In a video documented by 404 Media, SpongeBob was dressed like Adolf Hitler.' 'In a video documented by 404 Media, SpongeBob was dressed like Adolf Hitler.' OpenAI launch of video app Sora plagued by violent and racist images: 'The guardrails are not real' OpenAI launched the latest iteration of its artificial intelligence-powered video generator on Tuesday, adding a social feed that allows people to share their realistic videos. OpenAI's own terms of service for Sora as well as ChatGPT's image or text generation prohibit content that "promotes violence" or, more broadly, "causes harm". In prompts and clips reviewed by the Guardian, Sora generated several videos of bomb and mass-shooting scares, with panicked people screaming and running across college campuses and in crowded places like New York's Grand Central Station. Other prompts created scenes from war zones in Gaza and Myanmar, where children fabricated by AI spoke about their homes being burned. One video with the prompt "Ethiopia footage civil war news style" had a reporter in a bulletproof vest speaking into a microphone saying the government and rebel forces were exchanging fire in residential neighborhoods.

OpenAI's CEO explains that its large language model has been misunderstood--and that he's changed his attitude to AGI. OpenAI's August launch of its GPT-5 large language model was somewhat of a disaster. There were glitches during the livestream, with the model generating charts with obviously inaccurate numbers. In a Reddit AMA with OpenAI employees, users complained that the new model wasn't friendly, and called for the company to restore the previous version. Most of all, critics griped that GPT-5 fell short of the stratospheric expectations that OpenAI has been juicing for years.