Unlike other military technologies driven by national security needs and developed with federal funding, AI is predominantly funded and advanced by commercial industry for civilian applications. However, there is a lack of understanding of the reasons commercial AI firms decide to work with the DoD or choose to abstain from the defence market. This thesis argues that the contract law and procurement framework are among the most significant obstacles. This research indicates that the commercial AI industry actually views the DoD as an attractive customer. However, this attraction is despite the obstacles presented by traditional contract law and procurement practices used to solicit and award contracts. Drawing on social exchange theory, this thesis introduces a theoretical framework, optimal buyer theory, to understand the factors that influence a commercial decision to engage with the DoD. Interviews from a sample of the participants explain why the AI industry holds such perceptions, opinions, and preferences about contracts generally and the DoD, specifically, in its role as a customer. This thesis concludes that commercial AI firms are attracted to contracts that are consistent with their business and technology considerations. Additionally, it develops best practices for leveraging existing contract law, primarily other transaction authority, to align contracting practices with commercial preferences and the machine learning development and deployment lifecycle.

Prunella Scales, who died at the age of 93, was one of Britain's finest comic actors. But despite a long and distinguished career on stage and screen, she will inevitably be remembered as Sybil Fawlty in the 1970s TV comedy, Fawlty Towers. It was Sybil's mission in life to keep tabs on her stick insect husband Basil - played by John Cleese - between cigarette-fuelled phone conversations with her friend, Audrey. It fell to her to placate guests who had been shouted at, totally ignored or, in some cases, throttled by Basil when in one of his more manic moods. Her nightmarish laugh, gravity-defying hairdo and ferocious temper were part of a carefully constructed character that ranks as a comic masterpiece.

The Atlantic CEO's new book,, examines his complicated relationship with the sport. On this week's episode of, he talks about the ways tech is helping him become a better runner. To most of the world, Nicholas Thompson is known as an editor, an AI enthusiast, or something of a LinkedIn influencer. But the former WIRED editor in chief, who is now CEO of The Atlantic, is often better known to colleagues as . On Tuesday, Thompson is releasing . As the title suggests, it's a book about his commitment to running--Thompson runs a ridiculously fast marathon and holds the American 50K record for the 45-49 age group. Ultimately, though, the book examines the complicated relationship between the sport, Thompson, and his father, who first took him on a run when he was just 5 years old. Tech obsessives, of course, will also get their fix: includes plenty of science-backed training guidance and documents Thompson's experience training with elite Nike coaches. On this week's episode of, I talked to Thompson (who was also my first boss; he hired me as an intern at WIRED in 2008) about his book, the interplay between running and addiction, and what he thinks AI can do for runners for writers. It is a joy to be here with you at Condé Nast at WIRED. I loved coming up those elevators. I love seeing you as the editor in chief. I'm thrilled that you're here. We're going to start this conversation the way we start all of them, which is with a little warmup, some rapid-fire questions. In honor of your new book,, I'm gonna make them entirely running themed. I mean, if your listeners don't wanna hear about running Trail run or track run? Worst running injury you've ever had. The one you wish people would stop talking to you about. You only need to run a 20-miler before a marathon. What do you need to run? Why do people die at mile 20? Because they only train for [marathons] with 20-mile-runs. I generally prefer people, but then you have to schedule it. Backup sport of choice if you could never run again.

'Every user has to make a choice of actually wanting to download Firefox and use it.' 'Every user has to make a choice of actually wanting to download Firefox and use it.' Do you need an assistant for your online activities? Multiple major players in artificial intelligence are moving on from chatbots like ChatGPT and are now focusing their efforts on new browsers with deep AI integrations. Those could take the form of an agent that shops for you or an omnipresent chatbot that follows you around and summarizes what you're seeing, looks up related stuff, or answers related questions.

The 28th European Conference on Artificial Intelligence (ECAI-2025) is currently taking place in Bologna, Italy, running from 25-30 October 2025. During the opening ceremony, the winners of the ECAI-2025 and Prestigious Applications of Intelligent Systems (PAIS-2025) outstanding paper awards were announced. Letting AI agents interact in multi-agent applications adds a layer of complexity to the interpretability and prediction of AI outcomes, with profound implications for their trustworthy adoption in research and society. Game theory offers powerful models to capture and interpret strategic interaction among agents, but requires the support of reproducible, standardized and user-friendly IT frameworks to enable comparison and interpretation of results. We describe its implementation and usage, and we employ it to uncover biased outcomes in popular games among AI agents, depending on the employed Large Language Model (LLM) and used language, as well as on the personality trait or strategic knowledge of the agents.

How can large language models (LLMs) serve users with varying preferences that may conflict across cultural, political, or other dimensions? To advance this challenge, this paper establishes four key results. First, we demonstrate, through a large-scale multilingual human study with representative samples from five countries (N=15,000), that humans exhibit significantly more variation in preferences than the responses of 21 state-of-the-art LLMs. Second, we show that existing methods for preference dataset collection are insufficient for learning the diversity of human preferences even along two of the most salient dimensions of variability in global values, due to the underlying homogeneity of candidate responses. Third, we argue that this motivates the need for negatively-correlated sampling when generating candidate sets, and we show that simple prompt-based techniques for doing so significantly enhance the performance of alignment methods in learning heterogeneous preferences. Fourth, based on this novel candidate sampling approach, we collect and open-source Community Alignment, the largest and most representative multilingual and multi-turn preference dataset to date, featuring almost 200,000 comparisons from annotators spanning five countries. We hope that the Community Alignment dataset will be a valuable resource for improving the effectiveness of LLMs for a diverse global population.

This is why her and David Harbour's marriage REALLY ended': Following Lily Allen's'revenge album' against her ex-husband, his furious friends hit back at the'false' singer'A common medication sent my sex life roaring back... it's definitely not a rare side effect': Surprising ways women revived their flagging libidos - including a Netflix show dubbed'female Viagra' King Charles is heckled by Andrew protester shouting'how long have you known' - as he and Fergie prepare to leave Royal Lodge for separate houses Buffalo Bills suffer serious blow to Super Bowl hopes as star man Ed Oliver is ruled out'indefinitely' The NBA Mafia betting scandal is the tip of the iceberg. Now match-fixing expert speaks on wider web of sports shame... and who it implicates: 'Dancing with the devil' Woke Dem Jasmine Crockett's secret stock empire exposed - as she plots Senate run Anguish of mother whose son, four, and daughter, six, vanished in Nova Scotia woods six months ago... as cops reject claims a stranger abducted them This is exactly how to lose up to a stone by Christmas. My expert diet helps you slim while you sleep, won't leave you hungry - and no, you don't need Mounjaro or Ozempic! Trump ally and fellow real estate tycoon warns Zohran Mamdani will destroy NYC's housing market: 'That's not affordability, that's insanity' Bionic Woman actress Lindsay Wagner, 76, makes a rare appearance at fan event... see her now I wish my selfish sister had never been born. When she died at 33 after a life of hedonism, she became a saint in our family... I'll never forgive her for it Urgent warning to Gmail users as 183 MILLION passwords are stolen in data breach - here's how to check if your account is affected What HAS happened to Bradley Cooper's face?

The great wildebeest migration, seen from space: satellites and AI are helping count Africa's wildlife The Great Wildebeest Migration is one of the most remarkable natural spectacles on Earth. Each year, immense herds of wildebeest, joined by zebras and gazelles, travel 800-1,000km between Tanzania and Kenya in search of fresh grazing after the rains . This vast, circular journey is the engine of the Serengeti-Mara ecosystem. The migration feeds predators such as lions and crocodiles, fertilises the land and sustains the grasslands. Countless other species, and human livelihoods tied to rangelands and tourism, depend on it.

She has been cast in maternal roles since her teens. Now, playing a mother for the first time since becoming one, she has chosen the part of a woman pushed past the edge of sanity. In "Die My Love," Lawrence, as Grace, vibrates with boredom and fury. The novel "Die, My Love," by the Argentinean writer Ariana Harwicz, is narrated by a wife and new mother who is living in rural France and seems to be losing her mind. Motherhood has inserted an immersion blender into her psyche: lust, repulsion, pleasure, and doom swirl into a single mess. She calls herself a "sodomising rodent" with "bullet-wounds for eyes," and thinks, "When I masturbate I desecrate crypts, and when I rock my baby I say amen, and when I smile I unplug an iron lung." One night, standing in the cold, staring at her family through a sliding door, she thinks, "I'll stop trying to draw blood from a stone. I'll contain my madness, I'll use the bathroom. I'll put my baby to sleep, jerk off my man and postpone my rebellion in favor of a better life." Martin Scorsese saw a brief review of the novel in the some years ago and decided to pick up a copy. He found it to be a "powerful mosaic of the mind," he told me recently. Scorsese is a member of a book club of sorts, with a few other filmmakers, who read with an eye toward adaptation. For "Die, My Love," he imagined casting Jennifer Lawrence in the lead. He'd been amazed by her performance in Darren Aronofsky's bewildering 2017 fantasia, "Mother!" In that surreal film--it's like an allegory set inside an oil painting--Lawrence plays a woman living with her poet husband in an old farmhouse, which is gradually, then apocalyptically, invaded by strangers. "She really is feeling everything that's happening, in what appears to be a dream of some kind," Scorsese said. He and Lawrence had discussed adaptations before. They considered "The Awakening," Kate Chopin's 1899 novel of female liberation, which ends with the protagonist, Edna Pontellier, walking into the sea. "Die, My Love" was like "The Awakening" if it began with Edna already underwater.

Ebeyer published posts about famous people who had realized that they were aphantasic: Glen Keane, one of the leading Disney animators on "The Little Mermaid" and "Beauty and the Beast"; John Green, the author of "The Fault in Our Stars," whose books had sold more than fifty million copies; J. Craig Venter, the biologist who led the first team to sequence the human genome; Blake Ross, who co-created the Mozilla-Firefox web browser when he was nineteen. Ebeyer also wanted the Aphantasia Network to be a place where aphantasics could find recent scientific research. For instance, estimating the strength of a person's imagery had been thoroughly subjective until Joel Pearson, a cognitive neuroscientist at the University of New South Wales, in Australia, devised tests to measure it more precisely. In a paper from 2022, Pearson reported that when people with imagery visualized a bright object their pupils contracted, as though they were seeing a bright object in real life, but the pupils of aphantasics imagining a bright object stayed the same. Another study of his had shown that, although aphantasics had the same fear response (sweating) as typical imagers to a frightening image shown on a screen, when exposed to a frightening story they barely responded at all.