SpaceX's stock market debut has thrust the richest man in the universe into an unexplored frontier of wealth. There are thousands of billionaires across the world. But there is only one trillionaire. Elon Musk became the first person to amass a personal fortune of over $1,000,000,000,000--that's 12 zeros--after shares of his rocket company SpaceX debuted on the Nasdaq stock exchange on Friday. SpaceX's initial public offering on Thursday valued the company at nearly $1.8 trillion, up from its most recent private valuation of around $1.25 trillion.

Imagine there is a disruption in train 1 near Times Square metro station. You try to find an alternative subway route to the JFK airport on Google Maps, but the app fails to provide a suitable recommendation that takes into account the disruption and your preferences to avoid crowded stations. We find that in many such situations, current navigation apps may fall short and fail to give a reasonable recommendation. To fill this gap, in this paper, we develop a prototype, TraveLLM, to plan routing of public transit in face of disruption that relies on Large Language Models (LLMs). LLMs have shown remarkable capabilities in reasoning and planning across various domains. Here we hope to investigate the potential of LLMs that lies in incorporating multi-modal user-specific queries and constraints into public transit route recommendations. Various test cases are designed under different scenarios, including varying weather conditions, emergency events, and the introduction of new transportation services. We then compare the performance of state-of-the-art LLMs, including GPT-4, Claude 3 and Gemini, in generating accurate routes. Our comparative analysis demonstrates the effectiveness of LLMs, particularly GPT-4 in providing navigation plans. Our findings hold the potential for LLMs to enhance existing navigation systems and provide a more flexible and intelligent method for addressing diverse user needs in face of disruptions.

The New York Police Department is reenlisting robots to fight crime, Mayor Eric Adams said Tuesday. The NYPD experimented with robot policing in 2021, but faced considerable backlash from residents and activists concerned with profiling in minority and underprivileged communities as well as saying the technology is dystopian. "The prior administration didn't have a mayor that was a computer geek and that was willing to go where others are not willing to go to keep the city safe," the New York mayor said in a press conference Tuesday in Times Square. "I made it clear on the campaign trail, I am going to use technology with transparency to keep this city safe. And others just weren't willing to do that, and I am." "The prior administration didn't have a mayor that was a computer geek and that was willing to go where others are not willing to go to keep the city safe."

New Yorkers are outraged after the NYPD and mayor announced a new fleet of'Big Brother' robocops that will patrol the city's streets and subways. The Tuesday announcement was held in Times Square, where three robots debuted - one discontinued by the previous administration after it was deemed'racist.' The reintroduced robotic police dog will help officers navigate dangerous situations, and the city is trialing two for $750,000. And the K5 Autonomous Security Robot and StarChase GPS system will monitor people and vehicles - these costs are unclear. Mayor Eric Adams ran his campaign on a promise to drive down crime in New York City and believes the robotic recruits will be used to save lives and deter atrocities in the Big Apple.

An actual, if elderly and ailing, Havanese is looking up at me as I work, and an Avedon portrait book is open on my desk. What could be more beguiling than combining the two? Then my laptop stutters and pauses, and there it is, eerily similar to what Richard Avedon would have done if confronted with a Havanese. The stark expression, the white background, the implicit anxiety, the intellectual air, the implacable confrontational exchange with the viewer--one could quibble over details, but it is close enough to count. My Havedon is, of course, an image produced by an artificial-intelligence image generator--DALL-E 2, in this case--and the capacity of such systems to make astonishing images in short order is, by now, part of the fabric of our time, or at least our pastimes.

AI art tools are changing the idea of creativity and getting whackier every week. In a span of just a few years, AI art generators have gone from creating incomprehensible pictures to realistic content. Researchers at Meta AI just took a leap into generating art through prompts. The company on Thursday announced Make-A-Video, a new AI system that turns text prompts into brief, soundless video clips. We're pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts.

It is the eve of the new year, and Times Square is packed with chasidim dancing amid the bright lights, and -- if you live in Hackensack or nearby -- they may be headed toward your mailbox. The dancing chasidim are the October art for Chabad of Hackensack's calendar. Like any Jewish wall calendar, it includes holidays and candle lighting times; it includes advertisements for neighborhood physicians and birthdays and yahrzeits of community members; and like the other calendars printed by ChabadHouseCalendars.com, it includes birthdays and yahrzeits for the various Lubavitcher rebbes (and the most recent rebbetzin, who also is the last one). But what makes the calendar of interest beyond the 07601 zip code is the art, which was created by Rabbi Mendy Kaminker, who heads Chabad of Hackensack, using the latest "artificially intelligent" art creation software, which synthesized the pictures based on his written prompts. "I started seeing all kinds of unbelievable pictures on Twitter" of AI-generated art, Rabbi Kaminker said.

Now, imagine the same cat, but with coal-black fur. Now, imagine the cat strutting along the Great Wall of China. Doing this, a quick series of neuron activations in your brain will come up with variations of the picture presented, based on your previous knowledge of the world. As humans, it's easy to envision an object with different attributes. But, despite advances in deep neural networks that match or surpass human performance in certain tasks, computers still struggle with the very human skill of "imagination."

One explanation of human imagination -- and of creativity -- is that it's the process of creating something new by combining existing elements in a novel way. It could be a daydream built on "what ifs," such as familiar rhythms and motifs turned into a new song, or seemingly unrelated bits of knowledge brought together for the first time as the building blocks of a breakthrough insight. Using our imaginations comes naturally to us. We do it all the time in ways big and small. For artificial intelligence, however, recombining elements of different things is the opposite of what comes "naturally" to it.

The new AI system takes its inspiration from humans: when a human sees a color from one object, we can easily apply it to any other object by substituting the original color with the new one. Now, imagine the same cat, but with coal-black fur. Now, imagine the cat strutting along the Great Wall of China. Doing this, a quick series of neuron activations in your brain will come up with variations of the picture presented, based on your previous knowledge of the world. In other words, as humans, it's easy to envision an object with different attributes.