A scammer took a real image of a this German shepherd and used AI to make it seem like it was injured. Breakthroughs, discoveries, and DIY tips sent six days a week. Increasingly realistic, easy-to-make AI-generated images are a major asset for online scammers looking to trick unsuspecting victims. While past AI-generated scams have tried to deceive people with fake celebrities or potential love interests, attackers increasingly have a new target: distraught pet owners searching for their lost companions . Over the past few months, numerous reports have surfaced following a similar pattern.

This paper discusses the potential for integrating Generative Artificial Intelligence (GenAI) into professional heritage practice with the aim of enhancing the accessibility of public-facing guidance documents. We developed HAZEL, a GenAI chatbot fine-tuned to assist with revising written guidance relating to heritage conservation and interpretation. Using quantitative assessments, we compare HAZEL's performance to that of ChatGPT (GPT-4) in a series of tasks related to the guidance writing process. The results of this comparison indicate a slightly better performance of HAZEL over ChatGPT, suggesting that the GenAI chatbot is more effective once the underlying large language model (LLM) has been fine-tuned. However, we also note significant limitations, particularly in areas requiring cultural sensitivity and more advanced technical expertise. These findings suggest that, while GenAI cannot replace human heritage professionals in technical authoring tasks, its potential to automate and expedite certain aspects of guidance writing could offer valuable benefits to heritage organisations, especially in resource-constrained contexts.

Large language models (LLMs) have reshaped the landscape of program synthesis. However, contemporary LLM-based code completion systems often hallucinate broken code because they lack appropriate context, particularly when working with definitions not in the training data nor near the cursor. This paper demonstrates that tight integration with the type and binding structure of a language, as exposed by its language server, can address this contextualization problem in a token-efficient manner. In short, we contend that AIs need IDEs, too! In particular, we integrate LLM code generation into the Hazel live program sketching environment. The Hazel Language Server identifies the type and typing context of the hole being filled, even in the presence of errors, ensuring that a meaningful program sketch is always available. This allows prompting with codebase-wide contextual information not lexically local to the cursor, nor necessarily in the same file, but that is likely to be semantically local to the developer's goal. Completions synthesized by the LLM are then iteratively refined via further dialog with the language server. To evaluate these techniques, we introduce MVUBench, a dataset of model-view-update (MVU) web applications. These applications serve as challenge problems due to their reliance on application-specific data structures. We find that contextualization with type definitions is particularly impactful. After introducing our ideas in the context of Hazel we duplicate our techniques and port MVUBench to TypeScript in order to validate the applicability of these methods to higher-resource languages. Finally, we outline ChatLSP, a conservative extension to the Language Server Protocol (LSP) that language servers can implement to expose capabilities that AI code completion systems of various designs can use to incorporate static context when generating prompts for an LLM.

This story is part of Future Tense Fiction, a monthly series of short stories from Future Tense and Arizona State University's Center for Science and the Imagination about how technology and science will change our lives. Amanda sat at her desk, picking at the same $30 Little Gem salad she ordered daily, suffering a small burning sensation in her gut that was triggered either by acid reflux or the dying embers of her rapidly expiring conscience. Of course, it was standard procedure for her husband to demand that the security firm Dark Metal surveil potential new hires for any of his multibillion-dollar companies, but this was the first time Amanda had been involved in contracting the private intelligence agency herself. Seedlings is your venture, Reid had promised her, even though he'd named himself CEO. I want you to take the lead on this. Amanda was COO of Seedlings and reported to her husband, who dismissed Amanda's concerns about the legal ramifications of their actions. Worrying about the law was something poor people did, Reid insisted. Besides, she'd never seen Reid do anything that nefarious with this type of information. But Maggie Everett was the type of candidate that pleased Reid. Amanda had done her job, which was to find Maggie, and the people at Dark Metal had done theirs, which was to surveil her and create a comprehensive biographical profile. This seemed like overkill to Amanda. Maggie wasn't in the running to become a high-profile executive at one of Reid's billion-dollar firms. She was being interviewed to work at a preschool. Certainly, Seedlings differed from other private preschools--there was the possibility Maggie would be exposed to confidential information. But this was what NDAs were for. Unleashing a network of spies upon a poor teacher who would ultimately be responsible for 10 toddlers seemed like an absurd waste of resources. And this was just Phase 1. Phase 2 would have to wait until after Maggie was hired, of course. Amanda reopened Dark Metal's inch-thick dossier. The logline: Maggie was smart but stupid. Smart: She'd majored in English at Yale, then received an MFA in creative writing from Brown, and finally a master's in early childhood education from Columbia. Stupid: She'd accumulated $103,345 in student debt, which she'd never pay off unless she took a job somewhere like Seedlings.

Fox News Flash top entertainment and celebrity headlines are here. Check out what clicked this week in entertainment. Angie Harmon is reflecting on the new direction her career has taken since she ended her reign as Jane Clementine Rizzoli on "Rizzoli & Isles." The 49-year-old spoke to reporters on Wednesday about her latest role in the Lifetime original film, "Buried in Barstow," in which Harmon stars as Hazel King, a single mother who is "determined to shield her daughter from the life she once had while protecting and defending those who can't protect themselves." "Plucked off the streets of Las Vegas at 15, Hazel was trained as a hitwoman until a surprising pregnancy drives her to leave it all behind," the show's synopsis explains.

"Made for Love," which is now streaming on HBO Max, opens on a vast expanse of desert, empty save for a geometric building in the distance. A lid on the ground is unlatched, and out pops a woman in a sequinned dress, gasping for breath, her hair drenched with water and a little blood. The woman is Hazel Green, and she is portrayed by Cristin Milioti, a strongly expressive actor who has become known for deploying her feral intellect to outsmart male villains in science-fiction thrillers. If you have seen Milioti take down a video-game dictator in the "Black Mirror" episode "USS Callister," or hack a time-loop purgatory in the 2020 comedy "Palm Springs," then you might be able to guess the story of "Made for Love," even before Hazel raises her middle finger at the structure on the horizon. The place is clearly the source of some terror--one that is futuristic yet eerily familiar.

The role AI plays in your life is a matter of choice (but only to a certain extent). It doesn't seem too long ago that artificial intelligence (AI) was mostly the stuff of science fiction. Today it seems to be everywhere: in our home appliances, in our cars, in the workplace, even on our wrists. To some extent, our use of AI is still a matter of personal choice. But because AI is becoming increasing ubiquitous, we need to make a lot of conscious decisions.

I redrew these two and changed up their designs! And they have names now too: Hazel (his "alias" is Rust) and Crys(Crystal) The story behind these two is that Hazel is a lonely, outdated robot in a world of much sleeker, newer models who live beautiful, clean, and exciting lives, while Hazel works a dirty job in repairing older models like himself and larger machines. But on the side, he sells illegal steroids in his garden. Because of this, he's constantly tormented and hurt by a specific group of beautiful models who buy his products; whose lives Hazel envies. One day, as he's selling them the illegal goods, they begin boasting about each other's new, rich, and adoring lovers.