Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Safety Net Gift Ideas For Everyone On Your List Mashable @Home In My Bag Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series'The Curious Case of Benjamin Button' review: The real mystery of this musical is why The award-winning West End production is now Off-Broadway. Kristy Puchko is the Entertainment Editor at Mashable. Based in New York City, she's an established film critic and entertainment reporter who has traveled the world on assignment, covered a variety of film festivals, co-hosted movie-focused podcasts, and interviewed a wide array of performers and filmmakers. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

In the spring of 2022, Google began reaching out to a series of writers, including award-winning science-fiction authors and New York Times bestsellers, for feedback on an experimental writing tool. Four years later, their participation has corners of the literary world up in arms. Google researchers knew at the time that they were approaching a breakthrough point with large language models (LLMs). DeepMind, the company's AI division, was internally testing a natural language generation model called LaMDA which had demonstrated emergent writing capabilities. That model would eventually form the basis for Google Gemini.

Many participants were not able to detect when they had been misled about the origins of the text in the short stories. Many participants were not able to detect when they had been misled about the origins of the text in the short stories. From Homer's Odyssey to Agatha Christie's crime fiction, humans have produced plenty of tales to grace the bookshelf. But research suggests artificial intelligence may now be providing some competition. In a study published in the journal Judgment and Decision Making, 1,682 adults were asked to read one of six short stories, three of which were written by humans and three by ChatGPT .

'Pryce's Buoy' is an unfinished romance tale between two men. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. 'Pryce's Buoy' is a six-page draft clearly based on Turing's own experiences. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Image caption, Prof Sarah Dillon studied Alan Turing's short story, Pryce's Buoy A story written by World War Two codebreaker Alan Turing suggests he was a man with playful humour embracing his homosexuality, according to new analysis. The six-page hand-written short story, Pryce's Buoy, has been transcribed in full for the first time and studied by Sarah Dillon, professor of literature at the University of Cambridge. Dillon said the story offered fresh insights that challenge the view of Turing as an isolated, lonely genius. We've distilled a version of Turing that is a two-dimensional stereotype, she added. Turing played a crucial role in the Allies' victory over Nazi Germany in World War Two by helping to crack codes and deciphering the infamous Enigma machine at Bletchley Park.

Check your subscription status, update your details and more. Can you guess the origin of 7 tiny species on a fictional archipelago? Late last year, between one news event and another (honestly, who can remember?), Feedback was delighted to discover the Journal of Imaginary Research . This is an online magazine publishing "short works of fiction", but only if they take the form of "imaginary research abstracts".

Miniature people have been a staple of science fiction and fantasy going all the way back to Jonathan Swift's, and shrunken characters have taken the spotlight in everything from classic Hollywood movies like and to family-friendly blockbusters like and . References to these movies and others are strewn throughout the new Peacock limited series, but the drawn-out, 10-episode show isn't a particularly worthwhile addition to the sci-fi shrinking canon. Taking only the title and basic premise from Manuel Gonzales's 2014 short story, stars Elizabeth Banks as Lindy Littlejohn, a once-prominent author who now works as a university professor and has been overshadowed by her scientist husband Les (Matthew Macfadyen). Lindy, you see, feels metaphorically small in both her personal and professional lives, and is about to become literally small following an accident - or it? The most pressing problem for Lindy is that Les has yet to develop a stable antidote to his formula, and everything that he has attempted to return to its original size thus far has almost immediately exploded.

From Claire North's new novel to a 10th anniversary edition of a brilliant Adrian Tchaikovsky book, there's lots to watch out for in November's science fiction Claire North's Slow Gods follows a deep-space pilot We'll need to get our skates on if we're to keep up with all the new science fiction published in November. And I am creeped out by the idea at the heart of Grace Walker's . Everything feels frightening this month - perhaps the sci-fi world is still in Halloween mode. It sounds poignant, moving and beautiful, and without any supernatural scares. Emily H. Wilson is wild for this sci-fi novel: I've not heard our sci-fi columnist recommend a book so wholeheartedly in all the time she's written for us.

Evaluating the creative capabilities of large language models (LLMs) in complex tasks often requires human assessments that are difficult to scale. We introduce a novel, scalable methodology for evaluating LLM story generation by analyzing underlying social structures in narratives as signed character networks. To demonstrate its effectiveness, we conduct a large-scale comparative analysis using networks from over 1,200 stories, generated by four leading LLMs (GPT-4o, GPT-4o mini, Gemini 1.5 Pro, and Gemini 1.5 Flash) and a human-written corpus. Our findings, based on network properties like density, clustering, and signed edge weights, show that LLM-generated stories consistently exhibit a strong bias toward tightly-knit, positive relationships, which aligns with findings from prior research using human assessment. Our proposed approach provides a valuable tool for evaluating limitations and tendencies in the creative storytelling of current and future LLMs.

This study investigates how large language models, in particular LLaMA 3.2-3B, construct narratives about Black and white women in short stories generated in Portuguese. From 2100 texts, we applied computational methods to group semantically similar stories, allowing a selection for qualitative analysis. Three main discursive representations emerge: social overcoming, ancestral mythification and subjective self-realization. The analysis uncovers how grammatically coherent, seemingly neutral texts materialize a crystallized, colo-nially structured framing of the female body, reinforcing historical inequalities. The study proposes an integrated approach, that combines machine learning techniques with qualitative, manual discourse analysis.