Rescuers say 20 people have been injured in southern Israel after the Israeli military said a drone was launched from Yemen. The Israel Defense Forces said the drone struck the town of Eilat on the Red Sea coast, with attempts made to intercept it. The Magen David Adom emergency medical service said 20 people were taken to Yoseftal Hospital - two with serious limb injuries. This breaking news story is being updated and more details will be published shortly. Please refresh the page for the fullest version.

Retirees face growing threats from scammers posing as debt collectors who demand payment through gift cards and refuse to provide written verification of debts.

Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Generative AI models are trying to depict reality, but instead embed glitches from their own inherited content. I argue that with the increased use of generative AI, there will be a decrease in the quality of the generated content because this generated content will be more and more based on artificial and general data. For instance, automatically generating a new picture will be based on original images authentically generated by persons (such as photographers) plus machine-generated images; however, the latter are not as good as the former in terms of details like contrast and edges. Besides, AI-generated text will be based on original creative content by real persons'plus' machine-generated text, where the latter might be repetitive and standard.

Plus: Secret Service agents dismantled a giant operation to cripple cell networks. It's surprisingly easy to stumble into a relationship with an AI chatbot The first large-scale computational analysis of the Reddit community r/MyBoyfriendIsAI, which is dedicated to discussing AI relationships, found that many people formed those relationships unintentionally while using AI for other purposes. In fact, only 6.5% of them said they'd deliberately sought out an AI companion. The study found that AI companionship provides vital support for some but exacerbates underlying problems for others. This means it's hard to take a one-size-fits-all approach to user safety. Join us at 1.30pm ET today to learn about the future of birth control Conversations around birth control usually focus on women, but Kevin Eisenfrats, one of the MIT Technology Review 2025 Innovators Under 35, is working to change that.

Ben Affleck and Jennifer Garner's daughter Violet emotionally advocates for mask mandates and children with long COVID at United Nations event Jimmy Kimmel weeps while saying he'never intended' to'make light of' Charlie Kirk's death - but DOESN'T apologize as he hits out at Trump If Trump isn't careful, he will end up no better than Biden! This dirty revenge tour must cease... before everyone loses: DAN MCLAUGHLIN Jimmy Kimmel's comeback descends into chaos: Staff turn on host over'sh***y' behavior... as'betrayal rumor' runs rife backstage Charlie Kirk suspect's trans lover has VANISHED: Shaken neighbors share fresh fears... as new photos show abandoned home Jimmy Kimmel's return BLASTED by Roseanne Barr seven years after ABC fired her: 'Double standard' I'm the doctor on the cusp of an autism breakthrough... we're using an everyday $2.50 pill to reverse children's symptoms Dancing with the Stars drama explodes: Cast are'miserable'... concerned family say smiles on screen are FAKE... and producers are forced to issue'warning' The world's best burgers REVEALED - and London bags nearly half of the top ten spots (but number one will surprise you) I was a devout Catholic... until I died. Moment daughter of Trump's would-be assassin Ryan Routh LOSES IT outside of court after father convicted of trying to kill president Sarah Ferguson claims she was trying to protect Princesses Beatrice and Eugenie when she sent apology email to Jeffrey Epstein'as her children come first' The View co-host makes cheeky immigration crack about Kamala Harris' Miami book tour stop SARAH VINE: The striking similarities between Sarah Ferguson and Meghan... and why Fergie's downfall should be a red flag for the Sussexes Chappell Roan'accidentally' reveals derrière onstage: 'I forgot my bottom was just a thong' Kim Kardashian takes a pop at Kanye as she poses topless for Vogue: 'I gained confidence three years ago... before, I always needed to check with someone before making decisions' Were you convinced by the Rapture? You're probably ARROGANT: People who believe in conspiracy theories are'massively overconfident', study finds READ MORE: Devout Christians take drastic action as'The Rapture' approaches Thousands of people around the world woke up yesterday morning hoping it would be their last day on Earth. The'Rapture' was a theory put forward by a South African pastor, claiming that Jesus would return to Earth on September 23, causing his followers to rise into the sky to meet him.

Things to Do in L.A. She thought she talking to her favorite celebrity. This is read by an automated voice. Please report any issues or inconsistencies here . Abigail Ruvalcaba was intrigued when a handsome daytime soap opera actor she'd been watching for years reached out to her in a Facebook message. His rugged exterior softened by his piercing blue eyes and an almost shy smile disarmed her.

It's surprisingly easy to stumble into a relationship with an AI chatbot Looking for help with her art project, she strikes up a conversation with her assistant. One thing leads to another, and suddenly she has a boyfriend she's introducing to her friends and family. Her new companion is an AI chatbot. The first large-scale computational analysis of the Reddit community r/MyBoyfriendIsAI, an adults-only group with more than 27,000 members, has found that this type of scenario is now surprisingly common. In fact, many of the people in the subreddit, which is dedicated to discussing AI relationships, formed those relationships unintentionally while using AI for other purposes. Researchers from MIT found that members of this community are more likely to be in a relationship with general-purpose chatbots like ChatGPT than companionship-specific chatbots such as Replika.

Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning, positioning them as promising tools for supporting human problem-solving. However, what happens when their performance is affected by misinformation, i.e., incorrect inputs introduced by users due to oversights or gaps in knowledge? Such misinformation is prevalent in real-world interactions with LLMs, yet how it propagates within LLMs' reasoning process remains underexplored. Focusing on mathematical reasoning, we present a comprehensive analysis of how misinformation affects intermediate reasoning steps and final answers. We also examine how effectively LLMs can correct misinformation when explicitly instructed to do so. Even with explicit instructions, LLMs succeed less than half the time in rectifying misinformation, despite possessing correct internal knowledge, leading to significant accuracy drops (10.02% - 72.20%), and the degradation holds with thinking models (4.30% - 19.97%). Further analysis shows that applying factual corrections early in the reasoning process most effectively reduces misinformation propagation, and fine-tuning on synthesized data with early-stage corrections significantly improves reasoning factuality. Our work offers a practical approach to mitigating misinformation propagation.

People often ask questions with false assumptions, a type of question that does not have regular answers. Answering such questions requires first identifying the false assumptions. Large Language Models (LLMs) often generate misleading answers to these questions because of hallucinations. In this paper, we focus on identifying and answering questions with false assumptions in several domains. We first investigate whether the problem reduces to fact verification. Then, we present an approach leveraging external evidence to mitigate hallucinations. Experiments with five LLMs demonstrate that (1) incorporating retrieved evidence is beneficial and (2) generating and validating atomic assumptions yields more improvements and provides an interpretable answer by pinpointing the false assumptions.

Generative propaganda is the use of generative artificial intelligence (AI) to shape public opinion. To characterize its use in real-world settings, we conducted interviews with defenders (e.g., factcheckers, journalists, officials) in Taiwan and creators (e.g., influencers, political consultants, advertisers) as well as defenders in India, centering two places characterized by high levels of online propaganda. The term "deepfakes", we find, exerts outsized discursive power in shaping defenders' expectations of misuse and, in turn, the interventions that are prioritized. To better characterize the space of generative propaganda, we develop a taxonomy that distinguishes between obvious versus hidden and promotional versus derogatory use. Deception was neither the main driver nor the main impact vector of AI's use; instead, Indian creators sought to persuade rather than to deceive, often making AI's use obvious in order to reduce legal and reputational risks, while Taiwan's defenders saw deception as a subset of broader efforts to distort the prevalence of strategic narratives online. AI was useful and used, however, in producing efficiency gains in communicating across languages and modes, and in evading human and algorithmic detection. Security researchers should reconsider threat models to clearly differentiate deepfakes from promotional and obvious uses, to complement and bolster the social factors that constrain misuse by internal actors, and to counter efficiency gains globally.