The Legend of Zelda: Echoes of Wisdom feels like a kindred spirit to the 2019 remake of Link's Awakening, both in challenge and in vibes. It's a far cry from the incredibly intricate and complex worlds in Tears of the Kingdom, and while I only played for about 90 minutes (spread over two different parts of the game),I came away from the demo charmed by the gorgeous, tilt-shift art style. Not to mention being quite pleased to finally be playing as Zelda for the first time in the series that bears her damn name. And while plenty of adults will surely enjoy The Legend of Zelda: Echoes of Wisdom, it also feels tailor-made as an entry point for younger players. We already knew about the art style and playing as Zelda -- what was most important about this preview was that I got a chance to see just how Zelda's "echoes" worked in the game itself.

Large Vision Language Models (VLMs) extend and enhance the perceptual abilities of Large Language Models (LLMs). Despite offering new possibilities for LLM applications, these advancements raise significant security and ethical concerns, particularly regarding the generation of harmful content. While LLMs have undergone extensive security evaluations with the aid of red teaming frameworks, VLMs currently lack a well-developed one. To fill this gap, we introduce Arondight, a standardized red team framework tailored specifically for VLMs. Arondight is dedicated to resolving issues related to the absence of visual modality and inadequate diversity encountered when transitioning existing red teaming methodologies from LLMs to VLMs. Our framework features an automated multi-modal jailbreak attack, wherein visual jailbreak prompts are produced by a red team VLM, and textual prompts are generated by a red team LLM guided by a reinforcement learning agent. To enhance the comprehensiveness of VLM security evaluation, we integrate entropy bonuses and novelty reward metrics. These elements incentivize the RL agent to guide the red team LLM in creating a wider array of diverse and previously unseen test cases. Our evaluation of ten cutting-edge VLMs exposes significant security vulnerabilities, particularly in generating toxic images and aligning multi-modal prompts. In particular, our Arondight achieves an average attack success rate of 84.5\% on GPT-4 in all fourteen prohibited scenarios defined by OpenAI in terms of generating toxic text. For a clearer comparison, we also categorize existing VLMs based on their safety levels and provide corresponding reinforcement recommendations. Our multimodal prompt dataset and red team code will be released after ethics committee approval. CONTENT WARNING: THIS PAPER CONTAINS HARMFUL MODEL RESPONSES.

Fox News host Greg Gutfeld gives his take on Iran's missile and drone attack against Israel on'Gutfeld!' Like I said, over the weekend, Iran launched an all-out attack on Israel, shooting as many as 300 drones and rockets at the Jewish state. By that metric, it was far more dangerous to be on the New York subway this weekend than strolling around Tel Aviv. Seriously, you have a better chance of getting hurt trying to take a burrito from Whoopi Goldberg. Give credit to Israel's air defense system, Iron Dome, which is the same nickname we gave Jesse Watters' head. Now, however, give the Iranians their due.

Dom Toretto likes to keep it old school. At the premier for the "Fast X" trailer last week, Vin Diesel revealed part of the sequel's plot that will follow it and, allegedly, mark the end of the Fast and Furious franchise. During an interview with Variety, Diesel was asked who he would like to see star in the next film, and he took the opportunity to make a pitch for Robert Downey Jr. to join the crew. "Without telling you too much about what happens in the future, there's a character who is the antithesis of Dom who is promoting AI and driverless cars and a philosophy that with that goes your freedom," Diesel said. "There is somebody that believes that's the future, and that's at direct odds with the Toretto mentality."

FBI Director Christopher Wray has warned about the national security threat posed by Beijing's AI program. During a panel at the World Economic Forum, Wray explained that Beijing's AI program "is not constrained by the rule of law". Wray says Beijing has "a bigger hacking program than any other nation" and will use machine learning to further boost the capabilities of its state-sponsored hackers. Much like nuclear expertise, AI can be used to benefit the world or harm it. "I have the same reaction every time," Wray explained.

At the Warner Bros Games studio in Montreal, a 7ft Batman statue greets visitors at reception. Comics are crammed into every shelf between each desk. And rather than images of lattes and flat whites, the coffee machine proudly displays the bat symbol. So, it might surprise you to learn that the people who work here have killed Batman. For the team behind the new video game Gotham Knights, their murder was the answer to a big question: how do you do something new with a character who has been throwing the Joker in jail for 83 years? If you're thinking that Batman has been done to death, you'd be right.

Opinion Machine learning's abiding weakness is verification. Is your AI telling the truth? Still, with so many new business models depending on AI's promise to bring the holy grail of scale to real-world data analysis, this lack of testability has new economic consequences. The basic mechanisms of machine learning are sound, or at least statistically reliable. Within the parameters of its training data, an ML process will deliver what the underlying mathematics promise.

Quick, think of a scary technology – one with the potential to enslave humankind or destroy the earth. Did you think of AI? Few other technologies generate the fear factor of artificial intelligence. Ever since Alan Turing introduced the idea in 1948, people have wondered what would happen if machines outsmarted their creators and took charge of the planet. Legal protections could avert such a calamity, and the first AI regulations have been published and are awaiting public comment. But some of these draft rules set impossibly high standards.

Say what you will about Space Jam: A New Legacy, but Don Cheadle really goes for it. He threatens, he cajoles, he chews the scenery with the enthusiasm of a rabid guinea pig. Just fully cannonballs into the role of a spurned genius exacting revenge. In the context of a movie that is, let's say, not on the Criterion short list, Cheadle imbues his character with the sort of fragile humanity you wouldn't expect in a movie that features Porky rapping. Which would be great, except that he's playing lines of code.

Categorization is a significant task in decision-making, which is a key part of human behavior. An interference effect is caused by categorization in some cases, which breaks the total probability principle. A negation quantum model (NQ model) is developed in this article to predict the interference. Taking the advantage of negation to bring more information in the distribution from a different perspective, the proposed model is a combination of the negation of a probability distribution and the quantum decision model. Information of the phase contained in quantum probability and the special calculation method to it can easily represented the interference effect. The results of the proposed NQ model is closely to the real experiment data and has less error than the existed models.