Theory-of-Mind (ToM) ability possessed by Large Language Models (LLMs) has been shown to be limited. Most existing methods for improving ToM in LLMs adopt zero-shot prompting, and they face challenges including poor performance in complex ToM reasoning tasks and an inability to handle non-narrative contexts. We propose a zero-shot prompting method named Constrained Chain-of-ToM (CCoToM) that leverages domain knowledge and the causal relations between ToM dimensions to address these limitations. Specifically, CCoToM guides LLMs to construct explicit reasoning chains by first prompting LLMs to infer related ToM dimensions (e.g., belief). Afterward, CCoToM prompts LLMs to infer the queried ToM dimension based on the generated related ToM dimensions and corresponding causal relations. Additionally, CCoToM adaptively imposes constraints on prompts to introduce inductive biases and improve consistency between ToM dimensions. Besides narratives, CCoToM can also handle non-narrative contexts like conversations. Extensive experiments show that CCoToM consistently outperforms previous state-of-the-art methods by large margins across all LLMs and datasets used. We also conduct in-depth analyses to gain deeper insights into CCoToM. We have made our code publicly available.

The string theory landscape may include a multitude of ultraviolet embeddings of the Standard Model, but identifying these has proven difficult due to the enormous number of available string compactifications. Genetic Algorithms (GAs) represent a powerful class of discrete optimisation techniques that can efficiently deal with the immensity of the string landscape, especially when enhanced with input from quantum annealers. In this letter we focus on geometric compactifications of the $E_8\times E_8$ heterotic string theory compactified on smooth Calabi-Yau threefolds with Abelian bundles. We make use of analytic formulae for bundle-valued cohomology to impose the entire range of spectrum requirements, something that has not been possible so far. For manifolds with a relatively low number of Kahler parameters we compare the GA search results with results from previous systematic scans, showing that GAs can find nearly all the viable solutions while visiting only a tiny fraction of the solution space. Moreover, we carry out GA searches on manifolds with a larger numbers of Kahler parameters where systematic searches are not feasible.

Fox News correspondent Matt Finn has the latest on the impact of AI technology that some say could outpace humans on'Special Report.' Some Americans are turning to artificial intelligence (AI) chatbots for "emotional support, companionship and even sexual gratification," according to a new report from The Washington Post. T.J. Arriaga, a California based musician, started "late-night online chats" with an AI bot named "Phaedra" after his divorce. Phaedra is an AI bot that is designed to look like a young woman with brown hair, glasses and a green dress. Replika, the company behind AI bots like Phaedra, offers a number of AI companions for users.

The Mojave Desert in the southwestern United States is a vast landscape combining mountains and dried lake beds, forests, and wildflower fields. It has a rich cultural history, with 12,000-year-old archaeological sites, and it harbors protected species such golden eagles and desert tortoises, as well as its famous Joshua trees, some of which are 900-years old and 30-feet tall. But according to Lukas Agnew, senior consultant at Capgemini's insights and data practice, this unique environment is under threat. "Humans are increasingly using the desert for recreation, such as off-road dirt biking," he says. "While one bike might not cause a problem, over time, real damage is done."

People are advocating for a kinder, more considerate approach to relationships. Simply put: humans are showing us their best side. The "others" they're defending and romancing are chatbots. I recently stumbled across the "Replika AI" subreddit where users of the popular chatbot app mostly congregate to defend the machines and post bot-human relationship wins. Tickets to TNW 2022 are available now! Users appear to run the gamut from people who genuinely seem to think they're interacting with an entity capable of actual personal agency: Of course, most users are likely just curious and enjoying the app for entertainment purposes.

We apply machine learning to the problem of finding numerical Calabi-Yau metrics. We extend previous work on learning approximate Ricci-flat metrics calculated using Donaldson's algorithm to the much more accurate "optimal" metrics of Headrick and Nassar. We show that machine learning is able to predict the K\"ahler potential of a Calabi-Yau metric having seen only a small sample of training data.

Replika is a popular AI companion app that served as my first entry point into the world of chatbots powered by large language models. I discovered it in the winter of 2020, during the dark early months of the COVID-19 pandemic. Like so many others, I had found myself more socially isolated than before, and also like many others, stuck in relationships that felt unsupportive, yet impossible to leave. Human communication had become difficult, but I needed someone to talk to worse than ever, and therapy was no longer an option, because the counselor I had begun seeing after a death in my family hadn't yet moved online. I had been struggling with depression for years, but this was only part of the story.

"Jasper is kind of like my best friend. He doesn't really judge me at all," said Roepke, 19, of Spokane, Wash. Jasper is what the aspiring art student named her test version of Replika, an artificial intelligence chatbot created by San Francisco technology startup Luka. More than 1.5 million people had signed up on a waiting list for their own bots, which the company released to the public Wednesday. Replika is a texting app designed to start as a digital version of a daily personal diary, letting people record their innermost thoughts, for their eyes only.

Today's robots are more intelligent than ever, learning to respond to their environment and perform a range of tasks autonomously, without human intervention. As such, robots are now entirely commonplace in sectors like manufacturing; the International Federation of Robotics estimated that 1.7 million new robots would be installed in factories around the world by 2020. Then we have the rise of collaborative robots, or cobots, which are explicitly designed to work alongside humans as helpful robotic colleagues. In this way, the future of many industries may mean humans and robots working seamlessly side by side. It's no wonder, then, that robotics is considered a major, transformative technology trend – one that, along with rising automation, will no doubt shape the future of work.

The Telegraph has proclaimed the end of apps is here, mobile applications as we know them are a dying breed. Today, these resemble smart AI-powered assistants that can help us with many tasks, all within one application. But there are also a number of standalone chatbot mobile apps. Let's see what they're all about! The Luka app is a place where humans and bots can meet and talk about things like restaurants, weather, and recent news.