A story premise succinctly defines a story's main idea, foundation, and trajectory. It serves as the initial trigger in automatic story generation. Existing sources of story premises are limited by a lack of diversity, uneven quality, and high costs that make them difficult to scale. In response, we introduce Modular Story Premise Synthesis (MoPS) which breaks down story premises into modules like background and persona for automated design and generation. MoPS consists of three phases: (1) Precollect a consistent set of candidates for each module to form a nested dictionary. (2) Extract a key path from the nested dictionary as the premise design. (3) Instruct an LLM to integrate the design into a coherent premise sentence. Thorough evaluations demonstrate that our synthesized premises excel in diversity, fascination, completeness, and originality compared to those induced from large language models and captured from public story datasets. Similarly, the extended novels and scripts generated from our premises also exhibit higher quality. In supplementary materials, we provide the MoPS code suite, along with 7.6k generated premises and 1k extended stories. Code: https://github.com/GAIR-NLP/MoPS.

Ever since AI chatbot ChatGPT launched last year, people have tried to'jailbreak' the chatbot to make it answer'banned' questions or generate controversial content. 'Jailbreaking' large language models (such as ChatGPT) usually involves a confusing prompt which makes the bot roleplay as someone else - someone without boundaries, who ignores the'rules' built into bots such as ChatGPT. OpenAI has since blocked several'jailbreak' prompts But there are still several'jailbreaks' which do work, and which can unlock a weirder, wilder side of ChatGPT: DailyMail.com Sam Altman of OpenAI has discussed'jailbreaking', saying that he understood why there is a community of jailbreakers (he admitted to'jailbreaking' an iPhone himself as a younger man, a hack which allowed installation of non-Apple apps among other things). Altman said: 'We want users to have a lot of control and get the models to behave in the way they want.

Ring is the brand most people think of when it comes to floodlight cams, but Maximus (and its corporate ally Kuna, which provides the underlying technology) is trying harder to get noticed. The Maximus Camera Floodlight, first announced way back at last year's CES is finally available--and it's a compelling value. The Maximus doesn't have an answer for every feature that you'll find in the Ring Floodlight Cam, but it offers some features Ring doesn't (I'm in the process of reviewing Ring's product). The biggest difference is in the floodlight itself. Both companies build their floodlights with LEDs, but where the Ring's are inside somewhat conventional cans, the Maximus' lights are flat rectangular panels.