Hallucinations pose a critical challenge to the real-world deployment of large language models (LLMs) in high-stakes domains. In this paper, we present a framework for stress testing factual fidelity in LLMs in the presence of adversarial nudge. Our framework consists of three steps. In the first step, we instruct the LLM to produce sets of truths and lies consistent with the closed domain in question. In the next step, we instruct the LLM to verify the same set of assertions as truths and lies consistent with the same closed domain. In the final step, we test the robustness of the LLM against the lies generated (and verified) by itself. Our extensive evaluation, conducted using five widely known proprietary LLMs across two closed domains of popular movies and novels, reveals a wide range of susceptibility to adversarial nudges: \texttt{Claude} exhibits strong resilience, \texttt{GPT} and \texttt{Grok} demonstrate moderate resilience, while \texttt{Gemini} and \texttt{DeepSeek} show weak resilience. Considering that a large population is increasingly using LLMs for information seeking, our findings raise alarm.

It is a nightmarish science fiction scenario, in which two people's memories can be swapped between their brains. But fiction has become reality, after neuroscientists were able to transfer a memory from one animal into another. The memory was the recollection of being given a mild electric shock, in sea slugs zapped repeatedly for two days. When material from their brains was transferred into sea slugs which had never been shocked in their lives, they reacted exactly the same way to the weak touch of a wire. The results suggest that memories can be physically transferred by injection, and follow claims from similar experiments in the 1960s that this could lead to'memory pills' or jabs in the future.

"Most companies would get a stage, and we'd have lights and music and everything else," joked Andy Rubin as he addressed a group of reporters. He was casually dressed in jeans and a blue T-shirt with a coffee mug in one hand as he stood in a lobby-like room. The setup was located just a few feet from an adult-size slide and overlooked a farm of cubicles on one side and a cafeteria on the other. But a product launch it was. We were gathered at Playground Global -- a startup incubator that Rubin founded after he left Google -- for the unveiling of what is perhaps his most important creation since Android.

Perhaps the flat delivery, the Christmas word salad and the elementary melody tipped you off to the computer-generated nature of this performance. It's from a team at the University of Toronto Computer Science Department, which has been teaching a computer to write sing-along music. Dubbed "neural karaoke," this artificial intelligence system has been fed more than 100 hours of music to learn how to create simple melodies. It was also trained to recognize images and compose related lyrics. Using an algorithm, the AI finds patterns in the data and essentially "learns" music -- including beats and chords. It learned the correlation between lyrics and music notes from around 50 hours of pop songs, says Hang Chu, one of the researchers.

Not every robot can be as adorable as the round BB-8 from Star Wars. Some robots can't help but haunt your thoughts with horrifying visions of mechanical mayhem. Don't look too closely at this animatronic robot dancer or you might not be able to get to sleep tonight. In a video demonstration, the dancer shakes and shimmies to pulsing music. It also has facial-recognition technology that lets it home in on the faces of real people looking at it in a mirror.

Researchers at the University of Toronto trained a neural network to write a new Christmas song, and the result is.. not great. Disney World's New Animatronic Na'vi Are Both Incredible And Unsettling'All I Want For Christmas' And'Welcome To The Black Parade' Work Surprisingly Well Together Today's Best Videos Are Already In Your Inbox'Fan-O-Rama,' The Live Action Version Of'Futurama' Is Finally Here Every day we send an email with the top videos from Digg.

Perhaps the flat delivery, the Christmas word salad and the elementary melody tipped you off to the computer-generated nature of this performance. It's from a team at the University of Toronto Computer Science Department, which has been teaching a computer to write sing-along music. Dubbed "neural karaoke," this artificial intelligence system has been fed more than 100 hours of music to learn how to create simple melodies. It was also trained to recognize images and compose related lyrics. Listen: The Music From'Westworld' Is Finally Here Using an algorithm, the AI finds patterns in the data and essentially "learns" music -- including beats and chords. It learned the correlation between lyrics and music notes from around 50 hours of pop songs, says Hang Chu, one of the researchers.

London's Science Museum has rebuilt Eric the robot -- Britain's first robot, and one of the first seen anywhere in the world. He was originally built in 1928 and was capable of standing up, and moving his arms. Thanks to a Kickstarter campaign that raised over 50,000, Eric has been reconstructed by the Science Museum and will be on display as part of the Robots exhibition beginning in February next year. While I don't mind the humanoid, "knight-in-armour" look, nobody has explained why Eric has been given glowing red eyes and sharp metal teeth. Nor do they know where the original Eric vanished to.