Nancy Guthrie sheriff's appalling past revealed: Beat handcuffed suspect so badly he needed intensive care, used VILE language about woman and lied in sworn statement Vance grounded at White House as Iran peace talks in turmoil and Trump declares: 'I expect to be bombing' New'Hollywood dose' pill: A-listers hooked on'youth elixir' that dermatologists say is anti-ageing, shrinks pores, smooths wrinkles... and even banishes rosacea Days after we got engaged, the love of my life told me he'd killed a man and buried him in a bog. I reported him to police... but then I made this irreversible mistake Ark of the Covenant's final resting place pinpointed by archaeologists as fresh search begins Ritzy Bay Area town torn apart after teacher's daughter, 16, crashed car while speeding and killed four friends... then posted a TikTok video that poured fuel on the flames Jordon Hudson extends her control over Bill Belichick's empire with secret move that is set to leave his family and friends furious Two CIA officers killed in Mexico when their car skidded off ravine and exploded after meeting about bust of'largest ever drug lab' Life-threatening cantaloupe recall in four states upgraded to FDA's highest risk level... 'reasonable probability of death' AMANDA PLATELL: Why Sarah Ferguson - with the ghost of Princess Diana at her side - is ready to sensationally blow up the Royal Family. She knows ALL their secrets... Trump confronts Xi as US forces seize Chinese ship carrying mysterious'gift' to Iran Team USA Olympics star Noah Lyles slammed for'horrible' reaction to his wife's wedding dress reveal In honour of the Queen's (purple!) reign: Kate mirrors late monarch's colourful wardrobe and wears her pearl earrings and necklace How to lose weight when perimenopause sabotages your metabolism: I'm a trainer but when I hit 46, I piled on the pounds overnight. The new'posh' drug that's easier to order than Uber Eats - and why all my middle-class friends have ditched booze and cocaine for it: JANA HOCKING Fury as murderer marries pen pal behind bars... as teenage victim's mom says: 'I'm serving a life sentence without my son' Autistic woman, 24, worked hard to build independent life for herself... now she's PARALYZED thanks to selfishness of stranger Chilling warning from Nobel physicist as date is set for humanity's final destruction The winner of the Nobel Prize in Physics has issued a stark warning to humanity, saying it could face an existential catastrophe within roughly 35 years. David Gross, who shared the 2004 Nobel Prize in Physics, warned that'due to the danger of nuclear war,' humankind may have just a little more than three decades left.

US shutdown ends: What happens next? New Epstein emails: What do they say about Trump? Last month, tech billionaire Elon Musk launched Grokipedia, an AI-powered platform, to rival online encyclopedia Wikipedia. "Grokipedia will exceed Wikipedia by several orders of magnitude in breadth, depth and accuracy," Musk posted on X the day after his site went live on October 27. Grokipedia will exceed Wikipedia by several orders of magnitude in breadth, depth and accuracy https://t.co/Nt4M6vqEZu

In February 1953, two men walked into a pub in Cambridge and announced they had found the secret of life. It was not an idle boast. One was James Watson, an American biologist from the Cavendish laboratory; the other was his British research partner, Francis Crick. The full Promethean power of their achievement would slowly emerge over decades of research by fellow geneticists. It also opened a Pandora's Box of controversial scientific and ethical issues - including human cloning, designer babies and Frankenstein foods.

Large language models (LLMs) have achieved impressive advancements across numerous disciplines, yet the critical issue of knowledge conflicts, a major source of hallucinations, has rarely been studied. While a few research explored the conflicts between the inherent knowledge of LLMs and the retrieved contextual knowledge, a comprehensive assessment of knowledge conflict in LLMs is still missing.

Scientist Who Was Offline'Living His Best Life' Stunned by Nobel Prize Win Fred Ramsdell was on vacation in the Montana wilderness when he and two colleagues received the honor for their breakthroughs in immunology. When Fred Ramsdell, 64, was named a Nobel Prize winner earlier this week, he was deep in the Wyoming mountains, blissfully offline and surrounded by fresh snow. The next day, as he was wrapping up a three-week backpacking trip with his wife, her phone began to light up with hundreds of messages about the good news: Ramsdell, along with Mary E. Brunkow and Shimon Sakaguchi, had won the 2025 Nobel Prize in Physiology or Medicine for their discoveries that reshaped immunology . Ramsdell tells WIRED he was completely unaware that the Nobel Prizes were being announced, let alone that the Nobel committee was trying to get in touch with him. Sonoma Biotherapeutics, the biotechnology firm he co-founded, told reporters that Ramsdell was "was living his best life and was off the grid on a preplanned hiking trip."

The Royal Swedish Academy of Sciences has awarded the 2025 Nobel Prize in chemistry to Susumu Kitagawa, Richard Robson and Omar M Yaghi for their work in the development of metal organic frameworks (MOF). The three scientists, who won the award on Wednesday, come from the universities of Kyoto in Japan, Melbourne in Australia and Berkeley in the United States, respectively. Such constructions can be used to harvest water from desert air, capture carbon dioxide, store toxic gases or break down traces of pharmaceuticals in the environment. "Metal organic frameworks have enormous potential, bringing previously unforeseen opportunities for custom-made materials with new functions," said Heiner Linke, chair of the Nobel Committee for Chemistry. According to Olof Ramstrom, a member of the Nobel Committee for Chemistry, the new form of molecular architecture can be compared with the handbag of the fictional Harry Potter character Hermione Granger: small on the outside but very large on the inside.

Nobel Prize 2025: What they are, when will the awards be announced? The Nobel Prize 2025 officially kicks off with the first award, for physiology or medicine, to be announced on Monday, setting the stage for a week of global anticipation. The full schedule, spanning from October 6 to 13, maps out a rapid succession of announcements: medicine, followed by physics, chemistry, literature, peace, and finally culminating with the economics prize next Monday. Here are the complete details of the schedule - and what to expect from this year's Nobel Prizes. What is the Nobel Prize?

The rapid advancement of large language models (LLMs) has created a diverse landscape of models, each excelling at different tasks. This diversity drives researchers to employ multiple LLMs in practice, leaving behind valuable multi-LLM log data. This naturally leads to the question of whether such logs can be fully leveraged to fuse LLMs' complementary capabilities. Although prior work has explored various strategies for integrating multiple LLMs, we argue that practical fusion must meet two essential requirements: (1) compatibility with real-world serving scenarios (e.g., local and API-based serving), and (2) flexibility to operate at different stages of the LLM pipeline to meet varied user needs (e.g., fine-tuning and inference stages). To this end, we introduce LLMFusionBench, a large-scale benchmark for LLM fusion that spans 14 tasks across five domains, with responses from 20 open-source LLMs (8B--671B) totaling 103M tokens. Building on LLMFusionBench, we propose FusionFactory, a systematic framework with three elaborated levels: (1) query-level fusion via tailored LLM routers, (2) thought-level fusion leveraging retrieved abstract reasoning templates, and (3) model-level fusion via distillation from top-ranked responses. Experiments show that FusionFactory consistently outperforms the best individual LLM across all 14 benchmarks, with the optimal fusion configuration varying across benchmarks, highlighting the promise of multi-LLM log data as a practical foundation for fusing diverse LLM capabilities.

Chatbots will be able to teach children more than twice as fast as teachers can within the next decade, the so-called godfather of AI has predicted. Geoffrey Hinton, who won a Nobel Prize for his work on the technology, also claimed AI personal tutors would'be much more efficient and less boring'. Speaking at Gitex Europe, the British computer scientist said: 'It's not there yet, but it's coming, and so we'll get much better education at many levels.' AI personal tutors are already being trialled in UK schools, with the technology now able to talk directly to the student and adapt lesson plans to their knowledge level. The government has already funnelled millions of pounds into AI education initiatives – though it has claimed the technology will'absolutely not' replace teachers.