Rise of the'porno-trolls': how one porn platform made millions suing its viewers Instead, it was a subpoena. He had been sued in federal court for illegally downloading 80 movies. Some of the titles sounded cryptic - Do Not Worry, We Are Only Friends - or banal, like International Relations Part 2. Others were less subtle: He Loved My Big Ass, He Loved My Big Butt, and My Big Booty Loves Anal. Brown, who had spent decades investigating sex crimes, claimed he had never watched any of them. His years "dealing with pimping", he wrote in a court filing, left him "with no interest in pornography". He had been married for 40 years, he did not need to download Hot Wife, another title in the list.

Dick Cheney dead: Vice President who served with George W. Bush and took leading role in'war on terror' dies at 84 Republicans reveal plot to stop'insurrectionist' democratic socialist Zohran Mamdani being sworn in as NYC mayor using Civil War-era clause Warren Buffett's $6billion stock exit is his loudest warning yet Father reveals'radical faith' spiral of American son killed in hail of arrows by reclusive tribe as new believers consider following him to isolated island How Charles reacted when'difficult' William asked if he could do fewer engagements: Biographer ROBERT JOBSON reveals the'tension', secrets of Kate's family life - and how couple are making Prince George'strong' Karoline Leavitt, 28, is accused of'airbrushing' husband, 60, in glamor White House snaps Taylor Swift enjoys girls' night with squad member Gigi Hadid in NYC after Travis Kelce's ex took swipe Wicked star Jonathan Bailey becomes first ever openly gay man to be named People's Sexiest Man Alive Texas governor warns any New Yorkers trying to flee south after Mamdani's win will be slapped with 100% tariff'She used it to freshen up... it killed her': My wife died of cancer at 63. She never smoked or drank. Explosive war sparked by Hollywood agent's nepo-baby son dismembering his wife Walmart boss warns of AI shake-up that will impact 2.1 million jobs at America's biggest employer Sex aids and poppers... the sordid discoveries made by royal aides after party Andrew threw for Epstein and Ghislaine Maxwell - and the truth about those massages: ROBERT JOBSON Dallas Cowboys agree huge trade for rival's defensive captain just hours before the NFL deadline George W. Bush's hilarious reaction to 315lb Cardinals star Calais Campbell caught on ref's mic at Cowboys game America's electric car market runs out of juice with sales plunging as much as 80% Shohei Ohtani makes rare speech in English as Dodgers star's wife soaks up the spotlight at World Series parade It's the trendy new diagnosis for everything from fatigue to brain fog... but here's the truth about your gut problem - and how to fix it: DR EMILY LEEMING Insane survival skills of dad who got lost in wilderness for 20 days as he's found alive AMANDA PLATELL: Fergie's delusions have reached a new low. I can't believe Beatrice and Eugenie are egging her on. Interstellar Comet 3I/ATLAS is seen for the first time since it disappeared behind the sun - and it's even BRIGHTER than when it went in READ MORE: Interstellar visitor proves Einstein's theory Interstellar comet 3I/ATLAS has been spotted for the first time since it disappeared behind the sun.

Republicans reveal plot to stop'insurrectionist' democratic socialist Zohran Mamdani being sworn in as NYC mayor using Civil War-era clause Texas governor warns any New Yorkers trying to flee south after Mamdani's win will be slapped with 100% tariff I won't ever forget what I saw at Andy Cohen's party. He may admit he's hooking up with guys on every dating app but this is the truth about men like him: KENNEDY As melatonin's terrifying link to fatal heart condition is revealed, experts weigh in on sleep aid's safety Warren Buffett's $6billion stock exit is his loudest warning yet Taylor Swift enjoys girls' night with squad member Gigi Hadid in NYC after Travis Kelce's ex took swipe Wicked star Jonathan Bailey becomes first ever openly gay man to be named People's Sexiest Man Alive Karoline Leavitt, 28, is accused of'airbrushing' husband, 60, in glamor White House snaps George W. Bush's hilarious reaction to 315lb Cardinals star Calais Campbell caught on ref's mic at Cowboys game Father reveals'radical faith' spiral of American son killed in hail of arrows by reclusive tribe as new believers consider following him to isolated island Justin Bieber's secret world: Faith, basketball and what friends say he's really like off-camera We've never been so sure of an imminent financial crash: Industry leaders across ALL sectors come together to say these signs of US economic meltdown are undeniable Sex aids and poppers... the sordid discoveries made by royal aides after party Andrew threw for Epstein and Ghislaine Maxwell - and the truth about those massages: ROBERT JOBSON Blake Lively demands It Ends With Us producer hand over full'graphic' footage of'naked' wife giving birth she called'porn' Meet Diddy's new prison pal: Disgraced rapper spotted with well-known sports star-turned-convict Shohei Ohtani makes rare speech in English as Dodgers star's wife soaks up the spotlight at World Series parade Insane survival skills of dad who got lost in wilderness for 20 days as he's found alive China's president Xi caught knifing Trump in brutal attack just hours after historic summit Rollercoaster camera caught utter terror on people's faces after seat belt failed on 208ft ride that travels at 75mph Pictured: Sweet boy, 8, wearing Spider Man robe was'killed and stuffed in cooler by mom and grandma' Being'hangry' is NOT a real thing! It might be time for Snickers to rethink its slogan - as a new study has revealed there's no truth to the phrase'you're not you when you're hungry'. Simply skipping a meal while fasting does not slow down thinking skills, scientists say. This contradicts the well-known phenomenon of becoming angry because you are peckish, also known as being'hangry'.

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Republicans reveal plot to stop'insurrectionist' democratic socialist Zohran Mamdani being sworn in as NYC mayor using Civil War-era clause Warren Buffett's $6billion stock exit is his loudest warning yet Texas governor warns any New Yorkers trying to flee south after Mamdani's win will be slapped with 100% tariff I won't ever forget what I saw at Andy Cohen's party. He may admit he's hooking up with guys on every dating app but this is the truth about men like him: KENNEDY As melatonin's terrifying link to fatal heart condition is revealed, experts weigh in on sleep aid's safety More young people developing'old person disease' of the gut with increased risk of severe complications Taylor Swift enjoys girls' night with squad member Gigi Hadid in NYC after Travis Kelce's ex took swipe Wicked star Jonathan Bailey becomes first ever openly gay man to be named People's Sexiest Man Alive Karoline Leavitt, 28, is accused of'airbrushing' husband, 60, in glamor White House snaps George W. ...

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper .

We present a novel framework for training large language models with continuously adjustable internal representations that span the full spectrum from localist (interpretable, rule-based) to distributed (generalizable, efficient) encodings. The key innovation is a locality dial, a tunable parameter that dynamically controls the degree of localization during both training and inference without requiring model retraining. This is achieved through group sparsity penalties on attention mechanisms, information-theoretic anchor design, and dynamic rule injection. We provide rigorous mathematical proofs establishing explicit threshold conditions under which attention provably concentrates on semantically relevant blocks, with exponential bounds on attention entropy and pointer fidelity. Specifically, we prove that when group sparsity penalties exceed certain threshold values, the model's attention mechanisms concentrate on semantically relevant blocks, achieving low entropy and high fidelity with negligible error. This framework enables practitioners to continuously interpolate between interpretable and high-performance modes, supporting applications in regulated domains requiring both transparency and capability.

Understanding labor market dynamics is essential for policymakers, employers, and job seekers. However, comprehensive datasets that capture real-world career trajectories are scarce. In this paper, we introduce JobHop, a large-scale public dataset derived from anonymized resumes provided by VDAB, the public employment service in Flanders, Belgium. Utilizing Large Language Models (LLMs), we process unstructured resume data to extract structured career information, which is then normalized to standardized ESCO occupation codes using a multi-label classification model. This results in a rich dataset of over 1.67 million work experiences, extracted from and grouped into more than 361,000 user resumes and mapped to standardized ESCO occupation codes, offering valuable insights into real-world occupational transitions. This dataset enables diverse applications, such as analyzing labor market mobility, job stability, and the effects of career breaks on occupational transitions. It also supports career path prediction and other data-driven decision-making processes. To illustrate its potential, we explore key dataset characteristics, including job distributions, career breaks, and job transitions, demonstrating its value for advancing labor market research.

This paper establishes a theoretical foundation for understanding the fundamental limits of AI explainability through algorithmic information theory. We formalize explainability as the approximation of complex models by simpler ones, quantifying both approximation error and explanation complexity using Kolmogorov complexity. Our key theoretical contributions include: (1) a complexity gap theorem proving that any explanation significantly simpler than the original model must differ from it on some inputs; (2) precise bounds showing that explanation complexity grows exponentially with input dimension but polynomially with error tolerance for Lipschitz functions; and (3) a characterization of the gap between local and global explainability, demonstrating that local explanations can be significantly simpler while maintaining accuracy in relevant regions. We further establish a regulatory impossibility theorem proving that no governance framework can simultaneously pursue unrestricted AI capabilities, human-interpretable explanations, and negligible error. These results highlight considerations likely to be relevant to the design, evaluation, and oversight of explainable AI systems.

Tabular data embedded within PDF files, web pages, and other document formats are prevalent across numerous sectors such as government, engineering, science, and business. These human-centric tables (HCTs) possess a unique combination of high business value, intricate layouts, limited operational power at scale, and sometimes serve as the only data source for critical insights. However, their complexity poses significant challenges to traditional data extraction, processing, and querying methods. While current solutions focus on transforming these tables into relational formats for SQL queries, they fall short in handling the diverse and complex layouts of HCTs and hence being amenable to querying. This paper describes HCT-QA, an extensive benchmark of HCTs, natural language queries, and related answers on thousands of tables. Our dataset includes 2,188 real-world HCTs with 9,835 QA pairs and 4,679 synthetic tables with 67.5K QA pairs. While HCTs can be potentially processed by different type of query engines, in this paper, we focus on Large Language Models as potential engines and assess their ability in processing and querying such tables.