In this work, our goal is to retrain the model to only forget specific concepts, i.e., to induce

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Multiple people hospitalized from'white powder' as suspicious package with'political propaganda' sparks evacuation at Joint Base Andrews Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Ritzy suburb of NJ's new governor stunned as cops pounce on'yuppie jihadi' neighbor at his $1.2M home over alleged bomb plot Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It Israeli hostage who revealed sexual abuse by his captors details full horror he endured: 20-minute torture seven times a day, made to dance, blindfolded with stones in his ears for weeks - 'I have met the Devil' It triggered an earthquake across America. Now, TUCKER CARLSON gives an astonishing defense of the interview that nearly destroyed him... and what he wished he'd known first READ MORE: Gen Z are'rawdogging boredom' to fix their attention spans TikTok has given rise to many strange trends over the years - from'rawdogging boredom' to the viral'turtle rabbit' choreography . While most trends are harmless fun, experts have raised concerns about others - including some that have proved deadly. In a new report, the Omega Law Group has highlighted five of the most dangerous trends that have swept social media in recent years.

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Israeli hostage who revealed sexual abuse by his captors details full horror he endured: 20-minute torture seven times a day, made to dance, blindfolded with stones in his ears for weeks - 'I have met the Devil' Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Ritzy suburb of NJ's new governor stunned as cops pounce on'yuppie jihadi' neighbor at his $1.2M home over alleged bomb plot Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It Multiple people hospitalized at Joint Base Andrews as suspicious package containing'white powder' and political message sparks evacuation - one day after Trump's visit My best friend became my bully, says CATHERINE RENTON. She called me fat and then traduced me. It's taboo to say, but the consequences ruined my life. No one's honest about what childhood bullying really does Now that's what you call a blast from the past!

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Multiple people hospitalized from'white powder' as suspicious package with'political propaganda' sparks evacuation at Joint Base Andrews Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Frail Bruce Willis, 70, holds carer's hand on very rare public outing amid heartbreaking dementia battle Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It It triggered an earthquake across America. Now, TUCKER CARLSON gives an astonishing defense of the interview that nearly destroyed him... and what he wished he'd known first Stone of Destiny mystery is SOLVED: Scientist traces the fate of 17 missing fragments of the rock used in King Charles' coronation A researcher has managed to trace the fate of the missing fragments of the Stone of Destiny, a powerful symbol of the British monarchy. It has been placed under the coronation chair for the crowning of kings and queens since the 13th century, including Charles III in May 2023 . Professor Sally Foster, an archaeologist at Stirling University, says there are 34 small fragments of the centuries-old object, also known as Stone of Scone, circulated around the world.

In this work, our goal is to retrain the model to only forget specific concepts, i.e., to induce

Large language models (LLMs) have achieved significant advancements in reasoning capabilities through reinforcement learning (RL) via environmental exploration. As the intrinsic properties of the environment determine the abilities that LLMs can learn, the environment plays a important role in the RL finetuning process. An ideal LLM reasoning environment should possess three core characteristics: scalability, generalizable reasoning, and verifiability. However, existing mathematical and coding environments are difficult to scale due to heavy reliance on expert annotation, while the skills learned in game-based environments are too specialized to generalize. To bridge this gap, we introduce the Structured In-context Environment (SIE) framework. SIE achieves scalability by automatically constructing reasoning environments from large-scale structured data, where the rich compositional patterns naturally support generalizable reasoning. Moreover, the explicit schemas and reasoning chains in structured data provide a foundation for rule-based verifiability. Experimental results show that SIE framework not only achieves substantial improvements in in-domain structured reasoning, but also enables the learned compositional reasoning skills to generalize effectively to out-of-domain mathematical and logical reasoning tasks. We further explored learning in information-limited partial SIEs and found that LLMs can infer the missing information through exploring the environment, leading to robust reasoning improvements and generalization performance. Fine-tuning large language models (LLMs) with reinforcement learning (RL) has emerged as a dominant post-training paradigm for eliciting complex reasoning capabilities (Jaech et al., 2024; Guo et al., 2025; Team et al., 2025; Comanici et al., 2025). This mechanism of learning from environmental feedback enables LLMs to acquire crucial reasoning strategies such as self-reflection, backtracking, and chain-of-thought. RL fine-tuning has shown significant progress in math reasoning and code generation (Zeng et al., 2025; Hu et al., 2025b; Chen et al., 2025), and is gradually being extended to more challenging applications, such as interacting with search engines and building deep research agents (Jin et al., 2025; Zheng et al., 2025b; Li et al., 2025; Team, 2025).

Corresponding Author: Umara Noor Abstract Recent developments in voice cloning and talking-head generation demonstrate impressive capabilities in synthesizing natural speech and realistic lip synchronization. Current methods typically require and are trained on large-scale datasets and computationally intensive processes using clean, studio-recorded inputs, which is infeasible in noisy or low-resource environments. In this paper, we introduce a new modular pipeline comprising Tortoise text to speech, a transformer-based latent diffusion model that can perform high-fidelity zero-shot voice cloning given only a few training samples, and Wav2Lip, a lightweight generative adversarial network architecture for robust real-time lip synchronization. The solution will contribute to many essential tasks concerning less reliance on massive pretraining, generation of emotionally expressive speech, and lip-sync in noisy and unconstrained scenarios. In addition, the modular structure of the pipeline allows an easy extension for future multimodal and text-guided voice modulation, and it could be used in real-world systems. Our experimental results show that the proposed system produces competition-level sound quality and lip-sync with a much smaller computational cost, indicating the possibility of deploying it in resource-constrained scenarios. Keywords Zero-Shot Voice Cloning, Latent Diffusion Models, Real-Time Lip Synchronization, GAN-Based Talking-Head Generation, Low-Resource Speech Synthesis, Emotionally Expressive Speech 1. Introduction Voice clone and talking head generation systems have made tremendous progress in the past few years, benefiting from the development of deep and generative models. These devices can be employed for virtual assistants, entertainment, telepresence, and assistive communication, making human-computer interaction more realistic and personalized, based on interactive and audio-visual context. Despite advancements, the state-of-the-art solutions heavily rely on big data and sophisticated computational resources and therefore may not be practical for real-world low-resource or noisy settings.

From Angelina Jolie to Megan Fox, many celebrities are known for their luscious lips. But what exactly does the perfect pout look like? A new study has revealed the answer - and it's bad news for fans of lip fillers. Scientists from the American University of Beirut showed 200 people AI-generated pictures of a woman, whose lips had been adjusted in various ways. An analysis of their preferences revealed that the perfect pout features an upper-to-lower lip ratio (U/L) of between 0.618:1 and 1:1.

Jon Voight spoke to Fox News Digital while promoting his film "Reagan" and weighed in on the family drama between his daughter, Angelina Jolie, and her ex, Brad Pitt. A happily-ever-after with whom a woman assumed to be Hollywood hunk Brad Pitt quickly turned into a living nightmare. On Jan. 12, the French television channel TF1 aired an episode of its show "Sept à Huit," which told the story of a 53-year-old interior designer named Anne who revealed that she had lost 830,000 euros (approximately 850,000) in personal funds because she thought she was sending money to a cancer-ridden Pitt. Through falsified documents and images as well as artificial intelligence, Anne believed she was speaking to, and eventually in a relationship with, the 61-year-old actor. WHAT IS ARTIFICIAL INTELLIGENCE (AI)? A woman was conned into believing she was in a relationship with Brad Pitt after being contacted by someone claiming to be the actor on Instagram.

The recent proliferation of large-scale text-to-image models has led to growing concerns that such models may be misused to generate harmful, misleading, and inappropriate content. Motivated by this issue, we derive a technique inspired by continual learning to selectively forget concepts in pretrained deep generative models. Our method, dubbed Selective Amnesia, enables controllable forgetting where a user can specify how a concept should be forgotten. Selective Amnesia can be applied to conditional variational likelihood models, which encompass a variety of popular deep generative frameworks, including variational autoencoders and large-scale text-to-image diffusion models. Experiments across different models demonstrate that our approach induces forgetting on a variety of concepts, from entire classes in standard datasets to celebrity and nudity prompts in text-to-image models.