Captchas are becoming more difficult to solve and there's a reason why - bots are outsmarting you. The'I'm not a robot' prompt originally made the users copy a series of letters and numbers or identify all the buses in a series of images that were often difficult to get wrong. But new versions that ask users to select the objects that are the same shape or click on the non-aquatic animal. Captchas are puzzles that are used to safeguard websites from nefarious bots, and used to pose a simple'copy the text' question but have now evolved to ask people to solve brain-teasing questions. Captcha puzzles (pictured) can include anything from matching a puzzle piece to the opened slot to copying a series of numbers and letters.

Fox News Flash top entertainment and celebrity headlines are here. Sorry to break to everyone, but Henry Cavill and Margot Robbie aren't starring in a new James Bond film. In fact, it's pretty easy to fake things to a degree that the untrained eye can't even tell the difference. While there are certainly advantages to artificial intelligence, the fact it can be used as a tool to manipulate and spread misinformation is certainly concerning. That also now applies to movies. MARGOT ROBBIE SAYS ACTING CAREER ALMOST ENDED AFTER'THE WOLF OF WALL STREET' The popular YouTube page KH Studio is known for creating fake/concept trailers for upcoming movies, and it uses AI technology to get the job done.

Tiffany Henyard, the embattled mayor of Dolton, Illinois, faced such an outcry of anger from town residents that many had to be kept outside the building. Much like Dolton, Illinois self-declared "Super Mayor" Tiffany Henyard, Philadelphia Sheriff Rochelle Bilal has been slammed with allegations of wild offenses ranging from spending department money on promotional items like trading cards with her likeness to having bogus news stories about her being generated by AI. While Bilal testified before the City Council last year that her department is underfunded to the point it "jeopardizes the lives and safety of our sworn and civilian personnel," her department's spending habits indicate that money may have been used in questionable ways, according to a new report from The Philadelphia Inquirer. The Philadelphia Sheriff's Office allegedly spent 9,250 on a new mascot, an African-American Wild Western-style female sheriff named Deputy Sheriff Justice, who debuted at the Thanksgiving Day parade, made by a company that makes some of the world's most recognizable mascot costumes, like that of the Geico gecko. Philadelphia Sheriff Rochelle Bilal speaks at a news conference, Philadelphia, Thursday, Sept. 21, 2023.

After an anti-Israel protest escalated at New York University on Monday – requiring city police presence – the university released a statement explaining while it supports students' rights to protest, safety remains its priority. HATE RAGES – Elite university reverses on NYPD presence as antisemitic mob takes over campus and more top headlines. POISON IVY – Columbia University shifts to hybrid learning as escalating anti-Israel protests cause safety concerns. NO COFFEE, NO PEACE – Angry Alec Baldwin smacks anti-Israel agitator's phone after hounding actor. TRUMP TRIAL – Judge to hear gag order arguments after former president's all-caps rant on social media.

'Terminator' stars Arnold Schwarzenegger and Linda Hamilton reunited to promote the new sequel'Terminator: Dark Fate.' Linda Hamilton became a star after appearing in 1984's sci-fi classic "The Terminator," alongside Arnold Schwarzenegger. But after appearing in the latest film in the franchise, "Terminator: Dark Fate" in 2019, the 67-year-old was ready to retire – not just from her iconic character, Sarah Connor, but the industry as well. "I don't do a lot of regret. I think in the end, it holds true that we regret what we didn't do, not what we did," she told The Hollywood Reporter in a new interview. Speaking on "Dark Fate," she continued, "I'm very glad I went back. I loved [director Tim Miller], I love my ladies [Mackenzie Davis and Natalia Reyes], and while I can't say I love the film, that's because I was so attached to it. I felt like it was too fast. But we did so much good work, and it was the greatest time of my life, and the worst time of my life, all rolled into one film. Linda Hamilton told The Hollywood Reporter that working on "Terminator: Dark Fate" was "the greatest time of my life, and the worst time of my life, all rolled into one film." "I was 63 or whatever I was, and it was the hardest shoot.

Rep. Jay Obernolte was selected to lead the House task force on AI. Fox News Digital speaks with the California Republican about his goals for the panel and his own thoughts about the rapidly advancing technology. Researchers are warning that facial recognition technologies are "more threatening than previously thought" and pose "serious challenges to privacy" after a study found that artificial intelligence can be successful in predicting a person's political orientation based on images of expressionless faces. A recent study published in the journal American Psychologist says an algorithm's ability to accurately guess one's political views is "on par with how well job interviews predict job success, or alcohol drives aggressiveness." Lead author Michal Kosinski told Fox News Digital that 591 participants filled out a political orientation questionnaire before the AI captured what he described as a numerical "fingerprint" of their faces and compared them to a database of their responses to predict their views.

"It's a complete offering... where the upfront cost is very reduced. So it's quite affordable for these companies to get access to automation and start to get the benefits out of it. And since the technology is very flexible and scalable, you can continue to basically increase volume by adding more robots rather than more storage capacity," says Carlos Fernández, chief product officer at AutoStore.

To enhance language models' cultural awareness, we design a generalizable pipeline to construct cultural knowledge bases from different online communities on a massive scale. With the pipeline, we construct CultureBank, a knowledge base built upon users' self-narratives with 12K cultural descriptors sourced from TikTok and 11K from Reddit. Unlike previous cultural knowledge resources, CultureBank contains diverse views on cultural descriptors to allow flexible interpretation of cultural knowledge, and contextualized cultural scenarios to help grounded evaluation. With CultureBank, we evaluate different LLMs' cultural awareness, and identify areas for improvement. We also fine-tune a language model on CultureBank: experiments show that it achieves better performances on two downstream cultural tasks in a zero-shot setting. Finally, we offer recommendations based on our findings for future culturally aware language technologies. The project page is https://culturebank.github.io . The code and model is at https://github.com/SALT-NLP/CultureBank . The released CultureBank dataset is at https://huggingface.co/datasets/SALT-NLP/CultureBank .

A graph is a fundamental data model to represent various entities and their complex relationships in society and nature, such as social networks, transportation networks, financial networks, and biomedical systems. Recently, large language models (LLMs) have showcased a strong generalization ability to handle various NLP and multi-mode tasks to answer users' arbitrary questions and specific-domain content generation. Compared with graph learning models, LLMs enjoy superior advantages in addressing the challenges of generalizing graph tasks by eliminating the need for training graph learning models and reducing the cost of manual annotation. In this survey, we conduct a comprehensive investigation of existing LLM studies on graph data, which summarizes the relevant graph analytics tasks solved by advanced LLM models and points out the existing remaining challenges and future directions. Specifically, we study the key problems of LLM-based generative graph analytics (LLM-GGA) with three categories: LLM-based graph query processing (LLM-GQP), LLM-based graph inference and learning (LLM-GIL), and graph-LLM-based applications. LLM-GQP focuses on an integration of graph analytics techniques and LLM prompts, including graph understanding and knowledge graph (KG) based augmented retrieval, while LLM-GIL focuses on learning and reasoning over graphs, including graph learning, graph-formed reasoning and graph representation. We summarize the useful prompts incorporated into LLM to handle different graph downstream tasks. Moreover, we give a summary of LLM model evaluation, benchmark datasets/tasks, and a deep pro and cons analysis of LLM models. We also explore open problems and future directions in this exciting interdisciplinary research area of LLMs and graph analytics.

Recommender systems have become an integral part of online services to help users locate specific information in a sea of data. However, existing studies show that some recommender systems are vulnerable to poisoning attacks, particularly those that involve learning schemes. A poisoning attack is where an adversary injects carefully crafted data into the process of training a model, with the goal of manipulating the system's final recommendations. Based on recent advancements in artificial intelligence, such attacks have gained importance recently. While numerous countermeasures to poisoning attacks have been developed, they have not yet been systematically linked to the properties of the attacks. Consequently, assessing the respective risks and potential success of mitigation strategies is difficult, if not impossible. This survey aims to fill this gap by primarily focusing on poisoning attacks and their countermeasures. This is in contrast to prior surveys that mainly focus on attacks and their detection methods. Through an exhaustive literature review, we provide a novel taxonomy for poisoning attacks, formalise its dimensions, and accordingly organise 30+ attacks described in the literature. Further, we review 40+ countermeasures to detect and/or prevent poisoning attacks, evaluating their effectiveness against specific types of attacks. This comprehensive survey should serve as a point of reference for protecting recommender systems against poisoning attacks. The article concludes with a discussion on open issues in the field and impactful directions for future research. A rich repository of resources associated with poisoning attacks is available at https://github.com/tamlhp/awesome-recsys-poisoning.