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Jennifer Lawrence Goes Dark

The New Yorker

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.


User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study

Albert, Julien, Balfroid, Martin, Doh, Miriam, Bogaert, Jeremie, La Fisca, Luca, De Vos, Liesbet, Renard, Bryan, Stragier, Vincent, Jean, Emmanuel

arXiv.org Artificial Intelligence

Recommender systems have become integral to our digital experiences, from online shopping to streaming platforms. Still, the rationale behind their suggestions often remains opaque to users. While some systems employ a graph-based approach, offering inherent explainability through paths associating recommended items and seed items, non-experts could not easily understand these explanations. A popular alternative is to convert graph-based explanations into textual ones using a template and an algorithm, which we denote here as ''template-based'' explanations. Yet, these can sometimes come across as impersonal or uninspiring. A novel method would be to employ large language models (LLMs) for this purpose, which we denote as ''LLM-based''. To assess the effectiveness of LLMs in generating more resonant explanations, we conducted a pilot study with 25 participants. They were presented with three explanations: (1) traditional template-based, (2) LLM-based rephrasing of the template output, and (3) purely LLM-based explanations derived from the graph-based explanations. Although subject to high variance, preliminary findings suggest that LLM-based explanations may provide a richer and more engaging user experience, further aligning with user expectations. This study sheds light on the potential limitations of current explanation methods and offers promising directions for leveraging large language models to improve user satisfaction and trust in recommender systems.


Machine Learning Baby Monitor Prevents The Hunger Games

#artificialintelligence

Newborn babies can be tricky to figure out, especially for first-time parents. Despite the abundance of unsolicited advice proffered by anyone who ever had a baby before -- and many who haven't -- most new parents quickly get in sync with the baby's often ambiguous signals. But [Caleb] took his observations of his newborn a step further and built a machine-learning hungry baby early warning system that's pretty slick. Normally, babies are pretty unsubtle about being hungry, and loudly announce their needs to the world. But it turns out that crying is a lagging indicator of hunger, and that there are a host of face, head, and hand cues that precede the wailing. By putting together a system to recognize these cues and assign a weight to them, [Caleb] now gets a text before the baby gets to the screaming phase, to the benefit of not only the little nipper but to his sleep-deprived servants as well.


Watch out, Fortnite: EA reveals 25 MILLION people downloaded Apex Legends in the first week alone

Daily Mail - Science & tech

Electronic Arts' new game'Apex Legends' is smashing records right out of the gate. The new battle royale game launched just one week ago on February 4th, and already boasts 25 million players, EA revealed on Monday. EA is hoping to reproduce the success of Epic Games' 'Fortnite', whose blending of'The Hunger Games' and'Minecraft' has been a global hit with teenagers and older gamers over the past two years. Electronic Arts' new game'Apex Legends' is smashing records right out of the gate. Loot boxes feature in many modern games, including popular shooter Overwatch and football simulator Fifa.


Seth Rogen and Evan Goldberg's new action-comedy 'Future Man' happily draws from the past

Los Angeles Times

From the surrealist nesting doll of realities in FX's "Legion" to the frank yet humane explorations of sexuality in Amazon's "Transparent," the best moments of the Peak TV era deliver scenes and stories you've never seen. "Future Man," a half-hour action-comedy that arrives on Hulu Nov. 14, has a similar goal, but also no compunction about reminding viewers of something familiar. Centered around Josh Futturman ("Hunger Games" alum Josh Hutcherson), a frustrated janitor who lives with his parents, the show blasts off when Josh completes an impossibly difficult video game. This feat triggers the arrival of two gruff, time-traveling warriors from a bleak future – Wolf (Derek Wilson of "Preacher") and Tiger ("Happy Endings" star Eliza Coupe). Having completed their recruitment effort, the two of them enlist him to help save the future.


entertainment-arts-40626596

BBC News

"This is the age of The Hunger Games; of the Star Wars movies being fronted by a female lead; of Wonder Woman utterly demolishing its box office rivals. "In 2017 there shouldn't be anything major about a TV series changing from a male lead to a female one. O'Hara also points out that leading women are selling big at the box office - and film companies aren't there to address gender equality, they're there to make a profit. Even for supposed male films, the first Guardians of the Galaxy movie, a superhero and a sci-fi film, (the audience) was something like 47% female.


Why we need to plan for a future without jobs

#artificialintelligence

The future of work in America is uncertain. What we know is that things are going to change. Technology will upend countless careers, workers across fields will be displaced, and it's not entirely clear how many jobs will be replaced. When driverless trucks are manufactured at scale, which will happen far sooner than many realize (as soon as five years), America's 3.5 million truck drivers will be suddenly dispensable. That doesn't mean that the profession of truck driving will disappear overnight, but it will shrink considerably.


Suspense really IS in the air in a good movie: Researcher say every film has its own 'signature' in the breath of viewers

Daily Mail - Science & tech

Humans are continuously emitting chemicals into the air – whether by breath or through the skin. Now, researchers have discovered the chemicals found in exhaled breath actually correspond to human emotions, especially while watching certain genres of films. By measuring chemical signatures, they could determine a person's reaction to specific films on a scene-by-scene basis and the type of scene playing – with comedy and suspense eliciting a particularly pungent response. Researchers have discovered that the chemicals found in exhaled breath actually correspond to human emotion. By measuring the chemical components, they could determined a person's reaction to movies on a scene-by-scene basis and types of scene playing– particularly suspenseful or funny ones The team conducted a large scale study involving more than 9,500 moviegoers who watched 108 screenings of 16 different films in two separate theaters at the Cinestar Cinema in Mainz, Germany.