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fish names House approves $895B defense bill with military pay raise, ban on transgender care for minorsDeep-pocketed investors have adopted a bullish approach towards Marvell Tech MRVL , and it's something market players shouldn't ignore. Our tracking of public options records at Benzinga unveiled this significant move today. The identity of these investors remains unknown, but such a substantial move in MRVL usually suggests something big is about to happen. We gleaned this information from our observations today when Benzinga's options scanner highlighted 15 extraordinary options activities for Marvell Tech. This level of activity is out of the ordinary. The general mood among these heavyweight investors is divided, with 40% leaning bullish and 40% bearish. Among these notable options, 3 are puts, totaling $150,614, and 12 are calls, amounting to $421,121. Expected Price Movements Analyzing the Volume and Open Interest in these contracts, it seems that the big players have been eyeing a price window from $70.0 to $125.0 for Marvell Tech during the past quarter. Volume & Open Interest Trends Looking at the volume and open interest is an insightful way to conduct due diligence on a stock. This data can help you track the liquidity and interest for Marvell Tech's options for a given strike price. Below, we can observe the evolution of the volume and open interest of calls and puts, respectively, for all of Marvell Tech's whale activity within a strike price range from $70.0 to $125.0 in the last 30 days. Marvell Tech Option Activity Analysis: Last 30 Days Largest Options Trades Observed: Symbol PUT/CALL Trade Type Sentiment Exp. Date Ask Bid Price Strike Price Total Trade Price Open Interest Volume MRVL PUT TRADE BEARISH 12/13/24 $1.07 $0.94 $1.07 $109.00 $84.7K 1.2K 26 MRVL CALL SWEEP BEARISH 02/21/25 $5.95 $5.85 $5.85 $115.00 $73.1K 2.2K 151 MRVL CALL SWEEP BULLISH 12/20/24 $1.2 $1.13 $1.19 $115.00 $47.6K 8.8K 488 MRVL CALL SWEEP BULLISH 12/20/24 $1.19 $1.16 $1.16 $115.00 $47.3K 8.8K 984 MRVL PUT TRADE BULLISH 01/17/25 $0.15 $0.0 $0.06 $75.00 $40.2K 9.8K 6.7K About Marvell Tech Marvell Technology is a fabless chip designer focused on wired networking, where it has the second-highest market share. Marvell serves the data center, carrier, enterprise, automotive, and consumer end markets with processors, optical and copper transceivers, switches, and storage controllers. After a thorough review of the options trading surrounding Marvell Tech, we move to examine the company in more detail. This includes an assessment of its current market status and performance. Present Market Standing of Marvell Tech Currently trading with a volume of 6,926,407, the MRVL's price is down by -0.88%, now at $110.38. RSI readings suggest the stock is currently may be approaching overbought. Anticipated earnings release is in 84 days. What The Experts Say On Marvell Tech A total of 5 professional analysts have given their take on this stock in the last 30 days, setting an average price target of $116.4. Unusual Options Activity Detected: Smart Money on the Move Benzinga Edge's Unusual Options board spots potential market movers before they happen. See what positions big money is taking on your favorite stocks. Click here for access .* An analyst from Wells Fargo persists with their Overweight rating on Marvell Tech, maintaining a target price of $110. * An analyst from Morgan Stanley persists with their Equal-Weight rating on Marvell Tech, maintaining a target price of $102. * An analyst from Oppenheimer has decided to maintain their Outperform rating on Marvell Tech, which currently sits at a price target of $110. * Maintaining their stance, an analyst from Keybanc continues to hold a Overweight rating for Marvell Tech, targeting a price of $125. * In a cautious move, an analyst from Cantor Fitzgerald downgraded its rating to Overweight, setting a price target of $135. Options trading presents higher risks and potential rewards. Astute traders manage these risks by continually educating themselves, adapting their strategies, monitoring multiple indicators, and keeping a close eye on market movements. Stay informed about the latest Marvell Tech options trades with real-time alerts from Benzinga Pro . © 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

House approves $895B defense bill with military pay raise, ban on transgender care for minorsANNAPOLIS — Northern was awarded the John H. Cox Sportmanship Award this week following the state championship football games last weekend. Cox was the chairman of the MPSSAA (Maryland Public Secondary Schools Athletic Association) Football Committee from 1988 to 2006. After his death in 2007, the MPSSAA created the John H. Cox Sportmanship Award, given to the school that displays the best sportsmanship while competing in the state championship game. The award is given to one team per season regardless of classification. Northern is the second area team to win the award after Mountain Ridge in 2021.

Undercover FBI agents had no role in US Capitol attack: report

New York Times Tech Guild reaches tentative deal with company on three-year contractPHILADELPHIA (AP) — Jalen Hurts and A.J. Brown’s troubles connecting on the field have yet to blow into a family feud inside the locker room — honest, both Philadelphia Eagles stars said. Between Hurts and Brown, it’s all good in Philly. “Me and Jalen are good,” Brown said. Added Hurts, “We’re good, we’re good.” So there will be no sit-ups in the driveway, no apologies on the front lawn, and certainly, it seems, no rift between Hurts and his No. 1 receiver. Hurts and Brown each downplayed any hint of a fissure Wednesday between the two after defensive end Brandon Graham appeared this week on a Philadelphia sports radio station and suggested there was friction between the Pro Bowl duo. The two were close friends long before they became teammates and Hurts is the godfather for Brown’s daughter. Graham's comments — in which he noted “ things have changed ,” between the two, without offering specifics — exploded into tabloid and fan fodder this week in Philadelphia. His insinuations that the duo were not on the same page came on the heels of Brown's quote after a sluggish win over Carolina that the “ offense ” wasn’t playing up to standard, even with the Eagles at 11-2. “BG knows he spoke out of place,” Hurts said. Graham, who is sidelined with a triceps injury, clarified his comments later to an ESPN reporter, saying he made the wrong assumption about the relationship between Hurts and Brown and planned to apologize to both players. Brown, with 109 yards receiving combined the last two games, said his beef with the offense wasn't directed at Hurts. It was everything from offensive coordinator Kellen Moore's play calling to execution to all the ingredients in a successful offense that make a team a Super Bowl contender. The usually pass-happy Eagles have leaned more on running back Saquon Barkley, who set the franchise season rushing record of 1,623 yards against the Panthers and is chasing Eric Dickerson for the NFL mark. “Obviously, it's not about running the ball,” Brown told reporters. “He's about to win MVP. Clearly. What other things can we do on offense? We have to pass the ball. That can go into protection, that can go into picking up the block, that goes to us getting open quicker. Getting on the same page.” Eagles coach Nick Sirianni said he never witnessed any issues between Hurts and Brown and only saw two players who worked hard together, even working on routes after practice and seemed to have a deep personal connection on and off the field. “You guys get to see three hours every Sunday where emotions can play as high as they’re going to play,” Sirianni said. “I get to see these guys every single day, how they go about their business and interact with each other.” Brown, who was coming off consecutive 1,000-yard receiving seasons, wasn't necessarily wrong in his frustration with the recent stagnation of the passing game. Hurts, who signed a contract extension ahead of the 2023 season that was worth $179.3 million guaranteed , has thrown for fewer than 200 yards in three straight games. Wide receiver DeVonta Smith — who also complained Sunday about the offense — was also coming off consecutive 1,000-yard receiving seasons but has yet to break 100 yards in a game this season. Brown has four 100-yard games, well off last season’s run when he topped 100 yards in six straight games and seven times overall. Hurts has been more efficient than explosive this season but has still thrown 12 touchdown passes to just one interception — and rushed for 11 more scores — during the Eagles' nine-game winning streak that has them on the brink of clinching the NFC East. Maybe playing the Steelers on Sunday at home can snap the Eagles out of their offensive malaise. Hurts threw three TD passes to Brown in a 35-13 win in 2022. “Do we all have things to get better at in the passing game? Yeah, I think that’s obvious,” Sirianni said. “I think that’s what we’ve been talking about. We all have things that we’ve got to get better at, coaches, players. But this is why this is the greatest team sport there is. It takes everybody. It takes every single person being together, every single person for the success to happen. It’s just not a one-person thing.” AP NFL: https://apnews.com/hub/NFL

Meta, the parent company of Facebook and Instagram, said it has donated $1 million to President-elect Donald Trump's inauguration fund. The donation comes just weeks after Meta CEO Mark Zuckerberg met with Trump privately at Mar-a-Lago. A Meta spokesperson confirmed the offering Thursday. The news was first reported by The Wall Street Journal. Stephen Miller, who has been appointed deputy chief of staff for Trump's second term, has said that Zuckerberg, like other business leaders, wants to support Trump's economic plans. The tech CEO has been seeking to change his company's perception on the right following a rocky relationship with Trump. Trump was kicked off Facebook following the Jan. 6, 2021 attack on the U.S. Capitol. The company restored his account in early 2023. RELATED STORY | Meta's Mark Zuckerberg is the second richest person in the world. Here's who he just outranked During the 2024 campaign, Zuckerberg did not endorse a candidate for president but has voiced a more positive stance toward Trump. Earlier this year, he praised Trump's response to his first assassination attempt. Still, Trump had continued to attack Zuckerberg publicly during the campaign. In July, he posted a message on his own social network Truth Social threatening to send election fraudsters to prison in part by citing a nickname he used for the Meta CEO. "ZUCKERBUCKS, be careful!" Trump wrote. Corporations have traditionally made up a large share of donors to presidential inaugurals, with an exception in 2009, when then-President-elect Barack Obama refused to accept corporate donations. He reversed course for his second inaugural in 2013. Facebook did not donate to either Biden's 2021 inaugural or Trump's 2017 inaugural. Google donated $285,000 each to Trump first inaugural and Biden's inaugural, according to Federal Election Commission records. Inaugural committees are required to disclose the source of their fundraising, but not how they spend the money. Microsoft gave $1 million to Obama's second inaugural, but only $500,000 to Trump in 2017 and Biden in 2021. RELATED STORY | Celebrity private jet-tracking accounts suspended by Meta without reason, college student claimsDrones for commercial and recreational use have grown rapidly in popularity, despite restrictions on who can operate them and where they can be flown. No-fly zones are enforced around airports, military installations, nuclear plants, certain landmarks including the Statue of Liberty, and sports stadiums during games. Not everybody follows the rules. Sightings at airports have shut down flights in a few instances. Reported sightings of what appear to be drones flying over New Jersey at night in recent weeks have created anxiety among some residents, in part because it is not clear who is operating them or why. Some state and local officials have called for stricter rules to govern drones. After receiving reports of drone activity last month near Morris County, New Jersey, the Federal Aviation Administration issued temporary bans on drone flights over a golf course in Bedminster , New Jersey, that is owned by President-elect Donald Trump, and over Picatinny Arsenal Military Base . The FAA says the bans are in response to requests from “federal security partners.” Who regulates drones? The FAA is responsible for the regulations governing their use , and Congress has written some requirements into law. Who enforces the rules? With a 2018 law, the Preventing Emerging Threats Act, Congress gave certain agencies in the Homeland Security and Justice departments authority to counter threats from unmanned aircraft to protect the safety of certain facilities. New drones must be outfitted with equipment allowing law enforcement to identify the operator, and Congress gave the agencies the power to detect and take down unmanned aircraft that they consider dangerous. The law spells out where the counter-drone measures can be used, including “national special security events” such as presidential inaugurations and other large gatherings of people. What does it take to become a drone pilot? To get a “remote pilot certificate,” you must be at least 16 years old, be proficient in English, pass an aeronautics exam, and not suffer from a ”mental condition that would interfere with the safe operation of a small unmanned aircraft system.” Are drones allowed to fly at night? Yes, but the FAA imposes restrictions on nighttime operations. Most drones are not allowed to fly at night unless they are equipped with anti-collision lights that are visible for at least 3 miles (4.8 kilometers). Are drones a hazard? Over the past decade, pilots have reported hundreds of close calls between drones and airplanes including airline jets. In some cases, airplane pilots have had to take evasive action to avoid collisions. Drones buzzing over a runway caused flights to be stopped at London’s Gatwick Airport during the Christmas travel rush in 2018 and again in May 2023 . Police dismissed the idea of shooting down the drones, fearing that stray bullets could kill someone. Advances in drone technology have made it harder for law enforcement to find rogue drone operators — bigger drones in particular have more range and power. Will drone rules get tougher? Some state and local officials in New Jersey are calling for stronger restrictions because of the recent sightings, and that has the drone industry worried. Scott Shtofman, director of government affairs at the Association for Uncrewed Vehicle Systems International, said putting more limits on drones could have a “chilling effect” on “a growing economic engine for the United States.” “We would definitely oppose anything that is blindly pushing for new regulation of what are right now legal drone operations,” he said. AirSight, a company that sells software against “drone threats,” says more than 20 states have enacted laws against privacy invasion by drones, including Peeping Toms. Will Austin, president of Warren County Community College in New Jersey, and founder of its drone program, says it's up to users to reduce public concern about the machines. He said operators must explain why they are flying when confronted by people worried about privacy or safety. “It's a brand new technology that's not really understood real well, so it will raise fear and anxiety in a lot of people,” Austin said. “We want to be good professional aviators and alleviate that.” ___ Associated Press reporter Rebecca Santana in Washington, D.C., contributed. David Koenig, The Associated Press

Middle East latest: Israeli strikes in Gaza kill more than 50 people, including kidsUndercover FBI agents were not present during the 2021 attack on the US Capitol by Donald Trump supporters, a Justice Department watchdog said Thursday in a report debunking a popular right-wing conspiracy theory. "We found no evidence in the materials we reviewed or the testimony we received showing or suggesting that the FBI had undercover employees in the various protest crowds, or at the Capitol, on January 6," Justice Department inspector general Michael Horowitz said in an 88-page report. Thousands of Trump supporters stormed the US Capitol on January 6 in a bid to prevent congressional certification of Democrat Joe Biden's election victory. Right-wing media and even some Republican lawmakers have spuriously claimed that undercover FBI agents provoked the attack on Congress, which followed a fiery speech by Trump in which he falsely claimed the election had been stolen. The inspector general said that while no undercover FBI agents were present at the Trump rally or the Capitol, 26 FBI informants known as confidential human sources (CHS) were in Washington at the time. Three of the informants had been tasked with reporting on domestic terrorist suspects while the others were there on their own. "None of these FBI CHSs were authorized to enter the Capitol or a restricted area, or to otherwise break the law on January 6, nor was any CHS directed by the FBI to encourage others to commit illegal acts on January 6," the report said. The inspector general also said there had been an intelligence-gathering failure by the FBI ahead of the January 6 attack. "While the FBI undertook significant efforts to identify domestic terrorism subjects who planned to travel to the Capital region on January 6," the report said, "the FBI did not take a step that could have helped the FBI and its law enforcement partners with their preparations. "Specifically, the FBI did not canvass its field offices in advance of January 6, 2021, to identify any intelligence, including CHS reporting, about potential threats to the January 6 Electoral Certification," it said. FBI deputy director Paul Abbate was quoted as saying this was a "basic step that was missed" in "understanding the threat picture prior to January 6." Trump was impeached by the Democratic-majority House of Representatives following the attack on the Capitol, but acquitted by the Senate. He is to return to the White House on January 20 after defeating Vice President Kamala Harris in the November presidential election. More than 1,500 people have been charged in connection with the assault on Congress. Trump has lauded them as "patriots" and "political prisoners" and pledged to pardon many of them when he returns to the White House. cl/stShare Tweet Share Share Email Managing expenses effectively is crucial to maintaining financial integrity. However, the rise in fraudulent expense claims poses a significant challenge for organizations worldwide. Fraudulent activities not only drain resources but also damage trust within the workplace. Detecting such fraud manually can be tedious, time-consuming, and error-prone. This is where machine learning comes into play, offering innovative ways to combat expense fraud efficiently and proactively . What Is Expense Fraud? Expense fraud refers to the act of submitting false or exaggerated claims for reimbursement. Employees may manipulate receipts, inflate mileage claims, or create fake invoices to gain undeserved compensation. Common examples of expense fraud include: Submitting personal expenses as business-related costs. Altering the amounts on genuine receipts. Creating entirely fictitious receipts or invoices. Reimbursing duplicate claims for the same expense. These fraudulent activities can cost businesses thousands, if not millions, of dollars annually. While traditional audits can uncover some discrepancies, they often miss more sophisticated schemes. This highlights the need for advanced technologies like machine learning to tackle fraud more effectively. The Role of Machine Learning in Fraud Detection Machine learning (ML) leverages algorithms that analyze data, learn patterns, and make predictions. Unlike rule-based systems, ML models continuously improve over time as they process new data. In the context of expense fraud detection, machine learning offers the following advantages: Automated Data Analysis: ML systems can process vast amounts of expense data in real time, identifying anomalies that may signal fraudulent behavior. Pattern Recognition: By analyzing historical data, machine learning models can detect unusual patterns that deviate from normal expense behaviors. Risk Scoring: ML algorithms assign risk scores to expense claims, flagging those with high likelihoods of fraud for further review. Adaptive Learning: As fraud tactics evolve, machine learning models adapt by learning new patterns and identifying emerging threats. Key Machine Learning Techniques for Expense Fraud Detection Machine learning employs various techniques to identify fraudulent expense claims. Below are some of the most commonly used approaches: Supervised Learning Supervised learning involves training a model on labeled data, where the outcomes (fraudulent or non-fraudulent) are already known. The model learns to classify new expense claims based on the patterns it observes in the training data. Algorithms like decision trees, support vector machines (SVM), and neural networks are commonly used in supervised learning for fraud detection . Unsupervised Learning Unlike supervised learning, unsupervised learning works with unlabeled data. This approach is ideal for detecting unknown types of fraud. Techniques like clustering and anomaly detection help group similar data points and identify outliers. For instance, if an employee’s expense claim is significantly higher than their peers’, the system flags it for investigation. Natural Language Processing (NLP) Natural language processing is used to analyze text-based data, such as descriptions in expense claims. NLP can identify inconsistencies, suspicious keywords, or unusual phrasing that may indicate fraudulent intent. Reinforcement Learning Reinforcement learning involves training models through a reward-based system. In fraud detection, the algorithm receives rewards for accurately identifying fraudulent claims and penalties for false positives or negatives. This iterative process improves the model’s accuracy over time. Building an Effective Machine Learning Framework for Fraud Detection Implementing a machine learning-based expense fraud detection system requires careful planning and execution. Below are the critical steps: Data Collection and Preprocessing The first step is gathering expense-related data, such as receipts, invoices, and transaction records. Preprocessing this data is crucial to ensure accuracy and consistency. Steps include: Cleaning and removing duplicate entries. Converting unstructured data into structured formats. Normalizing numerical data for better model performance. Feature Engineering Feature engineering involves selecting and creating relevant variables (features) that help the model identify fraud. Examples include: Frequency of claims per employee. Average claim amount by department. Expense categories with unusually high costs. Model Training and Testing Once features are defined, the next step is training machine learning models. A portion of the data is used for training, while the rest is reserved for testing. This ensures that the model performs well on unseen data. Deployment and Monitoring After successful testing, the model is deployed to monitor expense claims in real-time. Continuous monitoring and periodic retraining are essential to maintain effectiveness and adapt to new fraud patterns. Challenges in Machine Learning-Based Fraud Detection While machine learning offers powerful tools for expense fraud detection, it is not without challenges. Some common obstacles include: Data Quality Issues: Inaccurate or incomplete data can lead to unreliable model predictions. High False Positives: Over-sensitive models may flag legitimate claims as fraudulent, leading to inefficiencies. Evolving Fraud Tactics: Fraudsters continuously adapt, requiring models to be updated regularly. Privacy Concerns: Handling sensitive financial data necessitates strict adherence to data protection regulations. Addressing these challenges requires a collaborative approach involving robust data governance, regular model audits, and input from domain experts. Benefits of Machine Learning in Expense Fraud Detection Despite the challenges, machine learning brings numerous benefits to expense fraud detection: Efficiency: Automating fraud detection reduces the manual workload, allowing finance teams to focus on high-priority tasks. Accuracy: ML models often outperform traditional methods, identifying subtle patterns that humans might miss. Scalability: Machine learning systems can handle large volumes of data, making them suitable for organizations of all sizes. Cost Savings: By preventing fraud, businesses can save significant amounts of money that would otherwise be lost. Real-World Applications of Machine Learning in Expense Fraud Detection Many organizations have successfully implemented machine learning to combat expense fraud. For instance: Corporate Finance Departments: Large corporations use ML tools to monitor employee expense reports, flagging anomalies in real-time. Expense Management Software: Companies like Expensify and Concur integrate machine learning algorithms to provide fraud detection features for their clients. Financial Institutions: Banks and credit card companies employ ML models to detect suspicious transactions that could indicate fraudulent expense claims. Conclusion Expense fraud is a pressing issue that requires proactive measures to mitigate its impact on businesses. Machine learning offers a transformative solution, enabling organizations to detect and prevent fraud with unprecedented efficiency.Furthermore, By leveraging techniques like supervised and unsupervised learning, natural language processing, and reinforcement learning, companies can build robust fraud detection systems that evolve alongside emerging threats. Although challenges remain, the benefits of machine learning far outweigh the drawbacks, making it an indispensable tool in the fight against expense fraud. Organizations that invest in this technology not only safeguard their finances but also foster a culture of transparency and trust . Related Items: Catching Fraud Before It Strikes , Expense Fraud Detection , machine learning Share Tweet Share Share Email Recommended for you Can Machine Learning Models Truly Revolutionize Retail Sales Forecasting? AI and Machine Learning Reshape Modern Data Center Operations How Machine Learning is Driving a New Era in Healthcare? Comments

Qatar tribune A federal appeals court on Friday upheld a controversial law banning the US operations of TikTok — the massively popular video-based social networking app owned by Chinese company ByteDance — unless it finds a US buyer. That gives the company just six weeks to keep fighting before the ax falls. We have our issues with TikTok, but we won’t be cheering that outcome. This impacts a lot of Americans, as there are 170 million US users, about half the total population of the country and more than the combined numbers who voted for Donald Trump and Kamala Harris. The most dangerous aspect of TikTok, a potential Chinese state weaponization, is speculative. Lawmakers and the Department of Justice are arguing that the platform could be compelled to share data on users with authorities in Beijing, or used to gather information on potential spies or any number of other schemes running the gamut from plausible to Tom Clancy novel. Yet there’s no public hard evidence that any of this has actually happened or even been attempted; we specific “public” because these officials have insisted that there is secret evidence to suggest that these are real and present threats, and are acting on that secret evidence. We understand that there are sensitive techniques and information that must be classified for reasons of national security and safety — a principle, by the way, that the incoming president does not himself seem to grasp, and is skirting consequences for violating— but this isn’t how we should be doing things in this country. Effectively banning the operation of an entire company based on secret evidence that our political leaders simply assure us exists is not really in keeping with our principles of due process and transparency. We present no defense of TikTok, which previously has been caught censoring views that Beijing doesn’t like, and it is undoubtedly designed to be addictive and appeal in particular to kids and teens, who can get sucked into the endless scroll. It has been used to push harmful content and misinformation around things like eating disorders and vaccines, and its sheer breadth and reach make this information often spread before it can be moderated. If you’re thinking that could just as well be true of Meta and its Facebook and Instagram platforms, or Alphabet with YouTube, then you can see what we’re driving at. But what makes TikTok different is that those parents aren’t foreign owned, and owned by an unfriendly country. There are plenty of things to be concerned about with TikTok, just as there are plenty of things to regulate around all of these social media companies. At least these are at least attempting some kind of even-handed moderation, unlike the platform formerly known as Twitter, which has become the cesspool of X under Elon Musk’s ownership. Moving to completely ban TikTok on what seem like thin and largely speculative national security grounds is a red herring drawing attention away from the fact that all these social media platforms have been allowed to run roughshod over our social and political fabric with a very light touch from regulators. We’d all be better served dropping this effort and taking aim at the broader system. Copy 13/12/2024 10

WEST PALM BEACH, Fla. (AP) — President-elect Donald Trump has invited Chinese President Xi Jinping and other world leaders to his inauguration next month — an unorthodox move that would fold U.S. allies and adversaries into a very American political tradition. Trump said Thursday during an appearance at the New York Stock Exchange , where he was ringing the opening bell to kick off trading for the day, that he’s been “thinking about inviting certain people to the inauguration” without referring to any specific individuals. “And some people said, ‘Wow, that’s a little risky, isn’t it?’” Trump said. “And I said, ‘Maybe it is. We’ll see. We’ll see what happens.’ But we like to take little chances.” His comments came soon after his incoming White House press secretary, Karoline Leavitt, confirmed during a Thursday morning appearance on “Fox & Friends” that Trump had invited Xi and other world leaders to attend his inauguration. No head of state has previously made an official visit to the U.S. for the inauguration, according to State Department historical records. The unprecedented invitations come at a moment when much of the world is bracing for what comes next when Trump and his “America First” worldview return to the White House. The president-elect has vowed to levy massive tariffs against the United States' chief economic competitor, China, as well as neighbors Canada and Mexico unless those countries do more to reduce illegal immigration and the flow of illegal drugs such as fentanyl into the United States. Trump's also pledged to move quickly to end Russia's nearly three-year war in Ukraine and press NATO allies who are spending less than 2% of their GDP on defense to step up or risk the United States not coming to their defense, as required by the transatlantic alliance's treaty, should they come under attack. “We’ve been talking and discussing with President Xi some things, and others, other world leaders, and I think we’re going to do very well all around,” Trump said. “We’ve been abused as a country. We’ve been badly abused from an economic standpoint, I think, and even militarily, you know, we put up all the money, they put up nothing, and then they abuse us on the economy. And we just can’t let that happen.” Xi is likely to see the invitation as too risky to accept, and the gesture from Trump may have little bearing on the increasingly competitive ties between the two nations as the White House changes hands, experts say. Danny Russel, vice president for international security and diplomacy at the Asia Society Policy Institute, said Xi would not allow himself to “be reduced to the status of a mere guest celebrating the triumph of a foreign leader — the U.S. president, no less.” Still, Leavitt saw it as a plus. “This is an example of President Trump creating an open dialogue with leaders of countries that are not just our allies, but our adversaries and our competitors, too,” she said on "Fox & Friends." “We saw this in his first term. He got a lot of criticism for it, but it led to peace around this world. He is willing to talk to anyone, and he will always put America’s interest first.” Asked at a Chinese Foreign Ministry briefing Thursday about Trump's invitation, spokesperson Mao Ning responded, “I have nothing to share at present.” Leavitt did not detail which leaders beyond Xi have been invited. But Trump's decision to invite Xi, in particular, squares with his belief that foreign policy — much like a business negotiation — should be carried out with carrots and sticks to get the United States' opponents to operate closer to his administration's preferred terms. Jim Bendat, a historian and author of “Democracy’s Big Day: The Inauguration of Our President,” said he was not aware of a previous U.S. inauguration attended by a foreign head of state. “It's not necessarily a bad thing to invite foreign leaders to attend,” Bendat said. “But it sure would make more sense to invite an ally before an adversary.” Edward Frantz, a presidential historian at the University of Indianapolis, said the invitation helps Trump burnish his “dealmaker and savvy businessman” brand. “I could see why he might like the optics," Frantz said. “But from the standpoint of American values, it seems shockingly cavalier." White House officials said it was up to Trump to decide whom he invites to the inauguration. “I would just say, without doubt, it's the single most consequential bilateral relationship that the United States has in the world,” White House national security spokesperson John Kirby said. “It is a relationship both fraught with peril and responsibility.” It's unclear which leaders, if any, might show. A top aide to Hungarian President Viktor Orban, one of Trump's most vocal supporters on the world stage, said Thursday that Orban isn't slated to attend the inauguration. “There is no such plan, at least for the time being," said Gergely Gulyás, Orban's chief of staff. The nationalist Hungarian leader is embraced by Trump but has faced isolation in Europe as he's sought to undermine the European Union's support for Ukraine, and routinely blocked, delayed or watered down the bloc’s efforts to provide weapons and funding and to sanction Moscow for its invasion. Orban recently met with Trump at Mar-a-Lago. Every country's chief of mission to the United States will also be invited, according to a Trump Inaugural Committee official who was not authorized to comment publicly and spoke on condition of anonymity. Such invitations to diplomats stationed in Washington has been customary during past inaugurations. Xi, during a meeting with President Joe Biden last month in Peru, urged the United States not to start a trade war. “Make the wise choice,” Xi cautioned. “Keep exploring the right way for two major countries to get along well with each other.” Canadian Prime Minister Justin Trudeau has also pushed back on Trump's threats, warning that such tariffs would be perilous for the U.S. economy as well. Trudeau earlier this week said Americans “are beginning to wake up to the real reality that tariffs on everything from Canada would make life a lot more expensive” and said he will retaliate if Trump goes ahead with them. Trump responded by calling Canada a state and Trudeau the governor. In addition to the tariff dispute, U.S.-China relations are strained over other issues, including what U.S. officials see as Beijing's indirect support of Russia's war on Ukraine. The Biden administration says China has supported Russia with a surge in sales of dual-use components that help keep its military industrial base afloat. U.S. officials also have expressed frustration with Beijing for not doing more to rein in North Korea's support for the Russian war. China accounts for the vast majority of North Korea’s trade. North Korean leader Kim Jong Un has dispatched thousands of troops to Russia to help repel Ukrainian forces from the Kursk border region. The North Koreans also have provided Russia with artillery and other munitions, according to U.S. and South Korean intelligence officials. Trump’s Jan. 20 inauguration is set to take place a day after the U.S. deadline for ByteDance, the Chinese parent company of social media giant TikTok, to sell the social media app or face a ban in the United States. Associated Press writers Didi Tang in Washington and Balint Domotor in Budapest, Hungary, contributed to this report.