As the prediction market boom continues, backlash is growing, too, with Arizona filing criminal charges against Kalshi and public outcry after Polymarket traders threatened a journalist. Kalshi CEO Tarek Mansour posted a video on Wednesday of six men decked out in business casual doing push-ups on the sidewalk. "This is how Kalshi Q1 board meeting ended," he wrote on X. The board members are laughing and smiling in the video after their impromptu cardio session, and the mood is jubilant. The next day, it became clear that the team had ample reason to celebrate: Kalshi had just raised $1 billion at a $22 billion valuation, making the company worth on paper roughly double what it was only a few months ago.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Man's parents helped him attack his ex and pry their grandson out of her arms, officials say The 1-year-old boy who allegedly was taken from his mother at knifepoint in City of Industry on Sunday was found in Arizona. This is read by an automated voice. Please report any issues or inconsistencies here . A 20-year-old man and his parents allegedly attacked his ex-partner outside a Target store, forcibly taking their baby from her arms.

Most existing Legal Judgment Prediction (LJP) models focus on discovering the legal triggers in the criminal fact description. However, in real-world scenarios, a professional judge not only needs to assimilate the law case experience that thrives on past sentenced legal judgments but also depends on the professional legal grounded reasoning that learned from professional legal knowledge. In this paper, we propose a LegalDuet model, which pretrains language models to learn a tailored embedding space for making legal judgments. It proposes a dual-view legal clue reasoning mechanism, which derives from two reasoning chains of judges: 1) Law Case Reasoning, which makes legal judgments according to the judgment experiences learned from analogy/confusing legal cases; 2) Legal Ground Reasoning, which lies in matching the legal clues between criminal cases and legal decisions. Our experiments show that LegalDuet achieves state-of-the-art performance on the CAIL2018 dataset and outperforms baselines with about 4% improvements on average. Our dual-view reasoning based pretraining can capture critical legal clues to learn a tailored embedding space to distinguish criminal cases. It reduces LegalDuet's uncertainty during prediction and brings pretraining advances to the confusing/low frequent charges. All codes are available at https://github.com/NEUIR/LegalDuet.

Despite the great success of large language models (LLMs) in various tasks, they suffer from generating hallucinations. We introduce Truth Forest, a method that enhances truthfulness in LLMs by uncovering hidden truth representations using multi-dimensional orthogonal probes. Specifically, it creates multiple orthogonal bases for modeling truth by incorporating orthogonal constraints into the probes. Moreover, we introduce Random Peek, a systematic technique considering an extended range of positions within the sequence, reducing the gap between discerning and generating truth features in LLMs. By employing this approach, we improved the truthfulness of Llama-2-7B from 40.8\% to 74.5\% on TruthfulQA. Likewise, significant improvements are observed in fine-tuned models. We conducted a thorough analysis of truth features using probes. Our visualization results show that orthogonal probes capture complementary truth-related features, forming well-defined clusters that reveal the inherent structure of the dataset.

The former president is set to be arraigned by the Manhattan district attorney on Tuesday. A number of media outlets issued a warning to Americans in advance of Donald Trump's arraignment in New York City, telling them that fake mugshots of the former president may soon flood the internet. Time told Americans that the source of a fake mugshot of Trump might come from "online pro-Trump groups," also sharing reputed comments from internet forums. "'Let's make our own version and circulate it!' one person posted on a popular pro-Trump forum. 'No one will know what's real!' Another person posted'If they don't release the mugshot immediately, just stage a mugshot as to not hold up any billboards, t-shirts, posters, or fundraising drives,'" according to the magazine.

Oct 25 - Tesla Inc (TSLA.O) is under criminal investigation in the United States over claims that the company's electric vehicles can drive themselves, three people familiar with the matter said. The U.S. Department of Justice launched the previously undisclosed probe last year following more than a dozen crashes, some of them fatal, involving Tesla's driver assistance system Autopilot, which was activated during the accidents, the people said. As early as 2016, Tesla's marketing materials have touted Autopilot's capabilities. On a conference call that year, Elon Musk, the Silicon Valley automaker's chief executive, described it as "probably better" than a human driver. Last week, Musk said on another call Tesla would soon release an upgraded version of "Full Self-Driving" software allowing customers to travel "to your work, your friend's house, to the grocery store without you touching the wheel."

Tesla is under criminal investigation in the United States over claims that the company's electric vehicles can drive themselves, three people familiar with the matter said. The US Department of Justice (DoJ) launched the previously undisclosed investigation last year following more than a dozen crashes, some of them fatal, involving Tesla's driver assistance system known as Autopilot, which was activated during the accidents, the people said. As early as 2016, Tesla's marketing materials have touted Autopilot's capabilities. On a conference call that year, Elon Musk, the Tesla chief executive, described it as "probably better" than a human driver. Last week, Musk said on another call Tesla would soon release an upgraded version of "full self-driving" software, allowing customers to travel "to your work, your friend's house, to the grocery store without you touching the wheel".

California prosecutors have filed two counts of vehicular manslaughter against the driver of a Tesla on Autopilot that ran a red light, slammed into another car and killed two people in 2019. California prosecutors have filed two counts of vehicular manslaughter against the driver of a Tesla on Autopilot that ran a red light, slammed into another car and killed two people in 2019. DETROIT -- California prosecutors have filed two counts of vehicular manslaughter against the driver of a Tesla on Autopilot who ran a red light, slammed into another car and killed two people in 2019. The defendant appears to be the first person to be charged with a felony in the United States for a fatal crash involving a motorist who was using a partially automated driving system. Los Angeles County prosecutors filed the charges in October, but they came to light only last week.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. California prosecutors have filed two counts of vehicular manslaughter against the driver of a Tesla on Autopilot who ran a red light, slammed into another car and killed two people in 2019. All Tesla models, including the Model S, now come standard with Autopilot. The defendant appears to be the first person to be charged with a felony in the United States for a fatal crash involving a motorist who was using a partially automated driving system.

Autonomous vehicle design involves an almost incomprehensible combination of engineering tasks including sensor fusion, path planning, and predictive modeling of human behavior. But despite the best efforts to consider all possible real world outcomes, things can go awry. More than two and a half years ago, in Tempe, Arizona, an Uber "self-driving" car crashed into pedestrian Elaine Herzberg, killing her. In mid-September, the safety driver behind the wheel of that car, Rafaela Vasquez, was charged with negligent homicide. Uber's test vehicle was driving 39 mph when it struck Herzberg. Uber's sensors detected her six seconds before impact but determined that the object sensed was a false positive.