Why Maduro dated wife for TWENTY years before marrying in secret... as shamed first lady's incestuous party links laid bare Maduro's brazen gestures to onlookers as he arrives at rat-infested'hell hole' prison in Brooklyn Trump says Venezuelan opposition leader who beat him to Nobel prize'does not have support' to be president Inside the CIA's astonishing coup of Caracas: SETH HARP reveals the planning... the traitor... and how it's about to blow up in American faces Inside Operation'Absolute Resolve': The meticulous months-long plan to seize Maduro and the harrowing escape under fire Leonardo DiCaprio forced to skip film festival in California by Trump's Venezuela airstrikes as he accepts acting prize via video Inside the glamorous Dubai life of Daniel Kinahan, head of the notorious crime family and Europe's top cocaine kingpin... as GUY ADAMS reveals how net is finally closing in on the gangster after golden decade in the Middle East Explosive warning from America's house price Nostradamus: New forecast tracking over 300 markets reveals'rare' shift... the boomtowns set to sink... and surprising winners I thought I'd found the perfect boyfriend. Then I discovered what he really wanted... Wild moment NYC jeweler attacks'scammer' rival and claims he is impersonating him I'm 38 and hotter than ever after finally silencing food noise with my simple new method... you don't need drugs or diets Meghan McCain, 41, joyously announces birth of third child and reveals baby's unconventional name Female college football fan labeled a Karen for furious reaction to rival in the stands... but was she right all along? Snitch reveals the TRUTH about Tom Brady and Alix Earle... after handsy video leaked out of St Barts The'ideal man' is now a 5'7 architect, dating app analysis reveals READ MORE: Dating apps are designed to keep singles'swiping and spending' The saying goes that'beauty is in the eye of the beholder'. But have you ever wondered what the'perfect' man looks like? Now, just in time for'Dating Sunday' - the busiest day of the year on dating apps - happn has uncovered what the most popular men on its dating app in 2025 look like.

Creating large-scale interactive 3D environments is essential for the development of Robotics and Embodied AI research. However, generating diverse embodied environments with realistic detail and considerable complexity remains a significant challenge. Current methods, including manual design, procedural generation, diffusion-based scene generation, and large language model (LLM) guided scene design, are hindered by limitations such as excessive human effort, reliance on predefined rules or training datasets, and limited 3D spatial reasoning ability. Since pre-trained 2D image generative models better capture scene and object configuration than LLMs, we address these challenges by introducing $\textit{Architect}$, a generative framework that creates complex and realistic 3D embodied environments leveraging diffusion-based 2D image inpainting. In detail, we utilize foundation visual perception models to obtain each generated object from the image and leverage pre-trained depth estimation models to lift the generated 2D image to 3D space. While there are still challenges that the camera parameters and scale of depth are still absent in the generated image, we address those problems by ''controlling'' the diffusion model by $\textit{hierarchical inpainting}$.

It's rude to boast, but here in 2025, you've got to take the wins where you can get them. This morning, magazine announced its Person of the Year, and it's me. If you want to get all technical about it, 's Person of the Year is not a person at all but a collection of people: the architects of AI. One of the two covers released is a re-creation of the "Lunch Atop a Skyscraper" photograph from 1932, which depicted blue-collar ironworkers suspended hundreds of feet in the air during the construction of 30 Rockefeller Plaza. In its image, replaces these laborers with tech personalities such as Mark Zuckerberg, Elon Musk, Sam Altman, and Jensen Huang.

Disney has agreed to invest $1bn (£740m) in OpenAI as part of a deal which will let people use many of its iconic characters in the chatbot ChatGPT and video-generation tool Sora. It is the first major studio to license parts of its catalogue to the tech giant, in a move which could have major implications for the studio's future plans. It means fans will be able to generate and share pictures and videos of more than 200 characters from Disney's franchises, including Pixar, Marvel and Star Wars. The move comes as OpenAI faces mounting questions about how its rapidly advancing tech is used - and as anxiety in Hollywood increases over the impact of AI on the creative industries. According to a blog post announcing the news, the list of eligible characters include those from Disney films Zootopia, Moana and Encanto - as well as characters like Star Wars' Luke Skywalker and Marvel's Deadpool.

'Architects of AI' named Time Magazine's Person of the Year Time Magazine's Person of the Year for 2025 is not a single person. Instead, the magazine has recognised the year's most influential figure as the architects of artificial intelligence (AI). Nvidia boss Jensen Huang, Meta head Mark Zuckerberg, X owner Elon Musk and AI godmother Fei-Fei Li are among those depicted on one of the magazine's two covers. Experts say it highlights how quickly AI, and the firms behind it, are reshaping society. It comes as a boom in the technology, ushered in by OpenAI's launch of ChatGPT in late 2022, continues at pace.

Pine is the Creative Director at TIME. To illustrate the choice of the Architects of AI as TIME's 2025 Person of the Year, we asked two separate artists to help us visualize the incredibly complex technological revolution that is currently underway. London-based illustrator and graphics animator Peter Crowther and digital painter Jason Seiler each created an image that speaks to the duality AI has produced - man vs. machine. Inspired by the inner workings of computer chips, Crowther's intricate AI structure looms large over the busy construction site.

Confidence in LLMs is a useful indicator of model uncertainty and answer reliability. Existing work mainly focused on single-turn scenarios, while research on confidence in complex multi-turn interactions is limited. In this paper, we investigate whether LLM-based search agents have the ability to communicate their own confidence through verbalized confidence scores after long sequences of actions, a significantly more challenging task compared to outputting confidence in a single interaction. Experimenting on open-source agentic models, we first find that models exhibit much higher task accuracy at high confidence while having near-zero accuracy when confidence is low. Based on this observation, we propose Test-Time Scaling (TTS) methods that use confidence scores to determine answer quality, encourage the model to try again until reaching a satisfactory confidence level. Results show that our proposed methods significantly reduce token consumption while demonstrating competitive performance compared to baseline fixed budget TTS methods.

Generative AI (GenAI) is reshaping enterprise architecture work in agile software organizations, yet evidence on its effects remains scattered. We report a systematic literature review (SLR), following established SLR protocols of Kitchenham and PRISMA, of 1,697 records, yielding 33 studies across enterprise, solution, domain, business, and IT architect roles. GenAI most consistently supports (i) design ideation and trade-off exploration; (ii) rapid creation and refinement of artifacts (e.g., code, models, documentation); and (iii) architectural decision support and knowledge retrieval. Reported risks include opacity and bias, contextually incorrect outputs leading to rework, privacy and compliance concerns, and social loafing. We also identify emerging skills and competencies, including prompt engineering, model evaluation, and professional oversight, and organizational enablers around readiness and adaptive governance. The review contributes with (1) a mapping of GenAI use cases and risks in agile architecting, (2) implications for capability building and governance, and (3) an initial research agenda on human-AI collaboration in architecture. Overall, the findings inform responsible adoption of GenAI that accelerates digital transformation while safeguarding architectural integrity.

Structured information extraction from unstructured text is critical for emerging Software 3.0 systems where LLM agents autonomously interact with APIs and tools. Recent approaches apply large language models directly to extraction tasks using existing JSON schemas, often with constraint decoding or reinforcement learning approaches to ensure syntactic validity, but treat JSON schemas as static contracts designed for human developers, leading to suboptimal extraction performance, frequent hallucinations, and unreliable agent behavior when schemas contain ambiguous or incomplete specifications. We recognize that JSON schemas themselves are a form of natural language understanding contract that encodes rules, relationships, and expectations about data structure contracts that LLMs should be able to both interpret and systematically improve. Consequently, we develop PARSE (Parameter Automated Refinement and Schema Extraction), a novel system with two synergistic components: ARCHITECT, which autonomously optimizes JSON schemas for LLM consumption while maintaining backward compatibility through RELAY (an integrated code generation system), and SCOPE, which implements reflection-based extraction with combined static and LLM-based guardrails. We evaluate PARSE qualitatively and quantitatively on three datasets including Schema-Guided Dialogue (SGD), Structured Web Data Extraction (SWDE), and internal retail conversation data, and find that it achieves up to 64.7% improvement in extraction accuracy on SWDE with combined framework improvements reaching 10% across models, while reducing extraction errors by 92% within the first retry and and maintaining practical latency.

In May, a group of about 40 people stood in a circle deep within the Pyramid of Khafre, the second-largest of the three pyramids looming over Egypt's Giza Plateau, holding hands and praying for Earth. Suddenly, their tour guide, an American mathematician and author named Robert Edward Grant, collapsed. He later described the experience in an interview with WIRED as a full-body electric shock emanating from somewhere beneath the chamber's stone floor. "I felt electricity coming through my hands," he says. "People were touching me, [and] they would feel it, too."