As the US prepares to send astronauts back to the moon, a CIA file has resurfaced that claims to have found life there more than 25 years ago. In the 1970s and 80s, the CIA conducted experiments with individuals who claimed they could perceive information about distant objects, events, or people, a process known as'remote viewing.' The experience of remote viewer Ingo Swann was first revealed in 1998 when he explained how his psychic episode took him to the dark side of the moon, a region that always faces away from Earth and out of sight from human eyes. That's where the remote reviewer made a shocking discovery: towers, buildings, and human-like aliens working at a secret complex on the moon's surface. Disturbingly, Swann said government officials knew the aliens had a base there, and these humanoids could actually sense his presence as he viewed them with his mind from 238,000 miles away.

The use of machine learning to estimate the energy of a group of atoms, and the forces that drive them to more stable configurations, have revolutionized the fields of computational chemistry and materials discovery. In this domain, rigorous enforcement of symmetry and conservation laws has traditionally been considered essential. For this reason, interatomic forces are usually computed as the derivatives of the potential energy, ensuring energy conservation. Several recent works have questioned this physically-constrained approach, suggesting that using the forces as explicit learning targets yields a better trade-off between accuracy and computational efficiency - and that energy conservation can be learned during training. The present work investigates the applicability of such non-conservative models in microscopic simulations. We identify and demonstrate several fundamental issues, from ill-defined convergence of geometry optimization to instability in various types of molecular dynamics. Contrary to the case of rotational symmetry, lack of energy conservation is hard to learn, control, and correct. The best approach to exploit the acceleration afforded by direct force evaluation might be to use it in tandem with a conservative model, reducing - rather than eliminating - the additional cost of backpropagation, but avoiding most of the pathological behavior associated with non-conservative forces.

The widespread deployment of large language models (LLMs) across various domains has showcased their immense potential while exposing significant safety vulnerabilities. A major concern is ensuring that LLM-generated content aligns with human values. Existing jailbreak techniques reveal how this alignment can be compromised through specific prompts or adversarial suffixes. In this study, we introduce a new threat: LLMs' bias toward authority. While this inherent bias can improve the quality of outputs generated by LLMs, it also introduces a potential vulnerability, increasing the risk of producing harmful content. Notably, the biases in LLMs is the varying levels of trust given to different types of authoritative information in harmful queries. For example, malware development often favors trust GitHub. To better reveal the risks with LLM, we propose DarkCite, an adaptive authority citation matcher and generator designed for a black-box setting. DarkCite matches optimal citation types to specific risk types and generates authoritative citations relevant to harmful instructions, enabling more effective jailbreak attacks on aligned LLMs.Our experiments show that DarkCite achieves a higher attack success rate (e.g., LLama-2 at 76% versus 68%) than previous methods. To counter this risk, we propose an authenticity and harm verification defense strategy, raising the average defense pass rate (DPR) from 11% to 74%. More importantly, the ability to link citations to the content they encompass has become a foundational function in LLMs, amplifying the influence of LLMs' bias toward authority.

Ever since Meta debuted its smart glasses back in 2021, concerns have been raised over their ability to film people without their knowledge. Now, two Harvard students have taken the device's privacy-invading capabilities even further – by building a modified version called'I-XRAY'. The creepy system uses AI and facial recognition software to instantly dox people's identities. In an astonishing clip, the students go up to random strangers and quickly identify their name and other personal details – including their home address, work history and even the names of parents. It's reminiscent of the Black Mirror episode, White Christmas, where a hopeless singleton uses an implant to instantly find online information about strangers.

A water world ruled by octopus-like creatures. A planet divided by light and dark where the sun never rises. These are not descriptions of foreign worlds in science fiction novels, these are some of the'exoplanets' most likely to be harboring aliens right now. Dozens of these exoplanets - planets that orbit stars outside our solar system - which have been classified as'potentially habitable' or'Earth-like' have been documented in tantalizing detail in a new book. Humanity is in a'new golden era of exploration,' according to Dr. Lisa Kaltenegger, whose new book explores what science now knows about how distant worlds in our galaxy could support life.

Whether through the frowning high-definition face of a chimpanzee or a psychedelic, pink-and-red-hued doppelganger of himself, Reuven Cohen uses AI-generated images to catch people's attention. "I've always been interested in art and design and video and enjoy pushing boundaries," he says--but the Toronto-based consultant, who helps companies develop AI tools, also hopes to raise awareness of the technology's darker uses. "It can also be specifically trained to be quite gruesome and bad in a whole variety of ways," Cohen says. He's a fan of the freewheeling experimentation that has been unleashed by open source image-generation technology. But that same freedom enables the creation of explicit images of women used for harassment.

It is a truth universally acknowledged, that a single man in possession of a computer must be in want of an AI girlfriend. Certainly a lot of enterprising individuals seem to think there's a lucrative market for digital romance. OpenAI recently launched its GPT Store, where paid ChatGPT users can buy and sell customized chatbots (think Apple's app store, but for chatbots) – and the offerings include a large selection of digital girlfriends. "AI girlfriend bots are already flooding OpenAI's GPT store," a headline from Quartz, who first reported on the issue, blared on Thursday. Quartz went on to note that "the AI girlfriend bots go against OpenAI's usage policy … The company bans GPTs'dedicated to fostering romantic companionship or performing regulated activities'."

It is a truth universally acknowledged, that a single man in possession of a computer must be in want of an AI girlfriend. Certainly a lot of enterprising individuals seem to think there's a lucrative market for digital romance. OpenAI recently launched its GPT Store, where paid ChatGPT users can buy and sell customized chatbots (think Apple's app store, but for chatbots) – and the offerings include a large selection of digital girlfriends. "AI girlfriend bots are already flooding OpenAI's GPT store," a headline from Quartz, who first reported on the issue, blared on Thursday. Quartz went on to note that "the AI girlfriend bots go against OpenAI's usage policy … The company bans GPTs'dedicated to fostering romantic companionship or performing regulated activities'."

It is every parent's worst nightmare - an image or video of your child you posted to social media ends up on a sexually explicit website. Some had their children preyed on by pedophiles - who are becoming increasingly sophisticated with tech like AI - turned into cruel memes by trolls or had their identities stolen by hackers. These scenarios have been highlighted in a new advert aimed at warning parents about the dangers of oversharing on social media. Recent studies show the average child has their picture shared online 1,300 times before the age of 13, and the advertisement suggests that it takes just one photo and AI to recreate innocent children in ways most parents could never imagine. The ad revealed it takes just one photo and AI to ruin a child's future.

Fans and casual viewers alike are stumbling upon'Unknown: Killer Robots' the chilling latest installment of Netflix's new documentary series'Unknown' -- and discovering that they can't unknow what they've just learned. 'I can only conclude that we have created a psychopathic demi-god and unleashed it on the world,' as one viewer tweeted about the streamer's in-depth look at AI's lethal potential and the military arms race for more autonomous weapons of war. Everyone from refugee groups that serve war-torn countries, to the very same scientific experts who appear in'Killer Robots' themselves, have voiced concern over the documentary's alarming revelations. In the words of one fan, the Netflix expose is'fascinating, thought-provoking, and the stuff of nightmares.' One fan said the Netflix doc is'fascinating, thought-provoking, and the stuff of nightmares' Everyone from refugee groups serving war-torn countries, to the very same scientific experts who appeared in Netflix's'Killer Robots,' have voiced concern over the doc's dark revelations One nonprofit devoted to helping refugees of the Taliban and the war in Afghanistan, Afghans For A Better Tomorrow, praised the film as'a groundbreaking documentary exploring the rise of AI-powered robots on the battlefield.'