This story originally appeared on WIRED Italia, and has been translated from Italian. The Met Gala is undoubtedly one of the most anticipated events of the year, but this time the music and entertainment celebrities who graced its red carpet had some competition for the public's attention: generative AI deepfakes. In a post published on X this morning--and now counting nearly 15 million views--Katy Perry is pictured wearing a stunning dress decorated with three-dimensional floral appliqués, which descends to the ground transforming into incredibly realistic-looking moss. But the image is far from real, as a Community Note attached to the post makes clear. Not surprisingly, a few minutes after this first photo of the singer at the Met Gala was shared, another one immediately arrived showing her wearing a bronze-colored corset and a gorgeous floral skirt, in perfect Xena style.

A YouTube based in Florida's iconic Haulover Inlet, set between Bal Harbour and Sunny Isles in Miami-Dade County, posted this video during a boozing weekend. The family of one of two teen boys facing felonies for dumping drums of trash into the Atlantic Ocean at Florida's annual Boca Bash issued an apology after their son turned himself in to the Florida Fish and Wildlife Conservation Commission (FWC). Now-viral drone footage shows the teens hefting two trash bins filled with bottles and other plastics over the railing of their fishing vessel as they speed away from the boozy water gathering on April 28. As the boat of partiers zoomed away into the choppy waters of the Boca Raton inlet, the video pans out to the spread of debris left floating in their wake. Footage from the front of the boat shows the teens waving and laughing.

According to his profile, Max, a contestant on season six of the Netflix reality show The Circle, is 26 years old, brunette and into his Australian shepherd, Pippa. He is a veterinary intern from Pismo Beach, California, and a bit cheeky – "single, but my dog is taken". He enters into the Circle chat, the fake social media service contestants use to vie for 100,000, posting either as themselves, an embellished version of themselves or a fully fake identity, with ease. He seems so real," says Lauren, a fellow twentysomething hoping to build enough online alliances and secure enough positive peer reviews to win, upon seeing Max's profile. You just know the producers ate that up, because "Max" is the front for an AI chatbot, a new gimmick to up the ante in this middleweight reality show. The Circle has nowhere near the following of Love Island, but hasn't sunk to the bottom of the streaming service slush pile – and is the latest example of artificial intelligence's seemingly inexorable ...

Nowadays, Information spreads at an unprecedented pace in social media and discerning truth from misinformation and fake news has become an acute societal challenge. Machine learning (ML) models have been employed to identify fake news but are far from perfect with challenging problems like limited accuracy, interpretability, and generalizability. In this paper, we enhance ML-based solutions with linguistics input and we propose LingML, linguistic-informed ML, for fake news detection. We conducted an experimental study with a popular dataset on fake news during the pandemic. The experiment results show that our proposed solution is highly effective. There are fewer than two errors out of every ten attempts with only linguistic input used in ML and the knowledge is highly explainable. When linguistics input is integrated with advanced large-scale ML models for natural language processing, our solution outperforms existing ones with 1.8% average error rate. LingML creates a new path with linguistics to push the frontier of effective and efficient fake news detection. It also sheds light on real-world multi-disciplinary applications requiring both ML and domain expertise to achieve optimal performance.

In the contemporary era characterized by a deluge of data, the intelligence community faces the challenge of information overload, needing to process vast amounts of information swiftly and effectively. The ability to generate succinct, clear, and actionable summaries from diverse data sources is crucial, as it often determines the success of strategic objectives in this information-rich environment. As the demand for systems capable of automating large-scale text summarization without compromising on quality or relevance intensifies, the role of such technologies becomes increasingly critical Liu and Lapata [2019]. Text summarization, a pivotal task within Natural Language Processing (NLP), has found widespread application across various domains, including news aggregation and the distillation of extensive documents into manageable summaries. The exponential growth in data underscores the utility of text summarization in enhancing content accessibility and comprehension, thus facilitating more efficient navigation through information landscapes Chouikhi and Alsuhaibani [2022].

We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation. Vidu is a diffusion model with U-ViT as its backbone, which unlocks the scalability and the capability for handling long videos. Vidu exhibits strong coherence and dynamism, and is capable of generating both realistic and imaginative videos, as well as understanding some professional photography techniques, on par with Sora -- the most powerful reported text-to-video generator. Finally, we perform initial experiments on other controllable video generation, including canny-to-video generation, video prediction and subject-driven generation, which demonstrate promising results.

In recent years, AI-Generated Content (AIGC) has witnessed rapid advancements, facilitating the generation of music, images, and other forms of artistic expression across various industries. However, researches on general multi-modal music generation model remain scarce. To fill this gap, we propose a multi-modal music generation framework Mozart's Touch. It could generate aligned music with the cross-modality inputs, such as images, videos and text. Mozart's Touch is composed of three main components: Multi-modal Captioning Module, Large Language Model (LLM) Understanding & Bridging Module, and Music Generation Module. Unlike traditional approaches, Mozart's Touch requires no training or fine-tuning pre-trained models, offering efficiency and transparency through clear, interpretable prompts. We also introduce "LLM-Bridge" method to resolve the heterogeneous representation problems between descriptive texts of different modalities. We conduct a series of objective and subjective evaluations on the proposed model, and results indicate that our model surpasses the performance of current state-of-the-art models. Our codes and examples is availble at: https://github.com/WangTooNaive/MozartsTouch

More than anything, Star Wars: Episode 1 - The Phantom Menace is a fascinating cultural object. It's been 25 years since I saw the film in theaters, and over a decade since I last rewatched it (in a vain attempt to help my Trekkie wife catch up to the prequels). I've had enough time to process the initial disappointment and embarrassment of introducing my wife to Jar Jar Binks. So when Disney announced it was bringing the prequel trilogy back to theaters, I was practically giddy about revisiting them to see how George Lucas's final films compared to the onslaught of Star Wars media we've experienced over the past decade. Was The Phantom Menace as bad as I'd remembered?

Drake and Kendrick Lamar's ongoing beef has left their devoted fans utterly divided over who's winning. The rappers have released several diss songs against each other and their fan bases are certain their team is winning. To try and strip biases out of the debate, we asked artificial intelligence chatbots who is winning the ongoing feud - and it produced some surprising insights. Three out of four AI chatbots remained politically correct when addressing which rapper is winning the beef, calling it'subjective' and saying it is up to the fans to decide. But Meta's AI bot said Kendrick had a slight edge in the beef so far. Gemini called Drake a'commercial powerhouse with numerous hit singles and albums that have topped the charts,' but said who is winning the feud remains subjective'Ultimately, the winner of the Drake versus Kendrick Lamar beef is subjective and depends on personal preference,' said DeepAI.

When the system detects small cracks in road surfaces, it promptly seals them. The United States will suffer in the race to command the development of artificial intelligence (AI) if production and manufacture of semiconductor chips and processors remain offshore, according to an industry expert. "If you're not making things and all you're doing is designing the software, and maybe designing the chips, but they're completely built and packaged elsewhere, you don't end up innovating as much when you literally have people's hands making some of these technologies," Jonathan Klamkin, CEO of semiconductor company Aeluma, told Fox News Digital. "You innovate across the supply chain, you'll innovate the manufacturing equipment that's used in the pads, you'll innovate how to operate the pads, you'll innovate the design of the chips," Klamkin said. "The U.S. needs to be vertically integrated in semiconductors. We can't just design the chips and write the software code."