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NoneALTOONA, Pa. — After UnitedHealthcare’s CEO was gunned down on a New York sidewalk, police searched for the masked gunman with dogs, drones and scuba divers. Officers used the city's muscular surveillance system. Investigators analyzed DNA samples, fingerprints and internet addresses. Police went door-to-door looking for witnesses. When an arrest came five days later, those sprawling investigative efforts shared credit with an alert civilian's instincts. A Pennsylvania McDonald's customer noticed another patron who resembled the man in the oblique security-camera photos that New York police had publicized. Deputy Commissioner of Operations Kaz Daughtry speaks during a press conference regarding the arrest of suspect Luigi Mangione, Monday, Dec. 9, 2024, in Hollidaysburg, Pa., in the fatal shooting of UnitedHealthcare CEO Brian Thompson. (AP Photo/Ted Shaffrey) Luigi Nicholas Mangione, a 26-year-old Ivy League graduate from a prominent Maryland real estate family, was arrested Monday in the killing of Brian Thompson, who headed one of the United States’ largest medical insurance companies. He remained jailed in Pennsylvania, where he was initially charged with possession of an unlicensed firearm, forgery and providing false identification to police. By late evening, prosecutors in Manhattan had added a charge of murder, according to an online court docket. He's expected to be extradited to New York eventually. It’s unclear whether Mangione has an attorney who can comment on the allegations. Asked at Monday's arraignment whether he needed a public defender, Mangione asked whether he could “answer that at a future date.” Mangione was arrested in Altoona, Pennsylvania, after the McDonald's customer recognized him and notified an employee, authorities said. Police in Altoona, about 233 miles (375 kilometers) west of New York City, were soon summoned. This booking photo released Monday, Dec. 9, 2024, by the Pennsylvania Department of Corrections shows Luigi Mangione, a suspect in the fatal shooting of UnitedHealthcare CEO Brian Thompson. (Pennsylvania Department of Corrections via AP) They arrived to find Mangione sitting at a table in the back of the restaurant, wearing a blue medical mask and looking at a laptop, according to a Pennsylvania police criminal complaint. He initially gave them a fake ID, but when an officer asked Mangione whether he’d been to New York recently, he “became quiet and started to shake,” the complaint says. When he pulled his mask down at officers' request, “we knew that was our guy,” rookie Officer Tyler Frye said at a news conference in Hollidaysburg. New York Police Commissioner Jessica Tisch said at a Manhattan news conference that Mangione was carrying a gun like the one used to kill Thompson and the same fake ID the shooter had used to check into a New York hostel, along with a passport and other fraudulent IDs. NYPD Chief of Detectives Joseph Kenny said Mangione also had a three-page, handwritten document that shows “some ill will toward corporate America." An NYPD police officer and K-9 dog search around a lake in Central Park, Monday, Dec. 9, 2024, in New York. (AP Photo/Yuki Iwamura) A law enforcement official who wasn’t authorized to discuss the investigation publicly and spoke with The Associated Press on condition of anonymity said the document included a line in which Mangione claimed to have acted alone. “To the Feds, I’ll keep this short, because I do respect what you do for our country. To save you a lengthy investigation, I state plainly that I wasn’t working with anyone,” the document said, according to the official. It also had a line that said, “I do apologize for any strife or traumas but it had to be done. Frankly, these parasites simply had it coming.” Pennsylvania prosecutor Peter Weeks said in court that Mangione was found with a passport and $10,000 in cash — $2,000 of it in foreign currency. Mangione disputed the amount. Thompson, 50, was killed last Wednesday as he walked alone to a midtown Manhattan hotel for an investor conference. Police quickly came to see the shooting as a targeted attack by a gunman who appeared to wait for Thompson, came up behind him and fired a 9 mm pistol. Investigators have said “delay,” “deny” and “depose” were written on ammunition found near Thompson’s body. The words mimic a phrase used to criticize the insurance industry. A poster issued by the Federal Bureau of Investigation shows a wanted unknown suspect. (FBI via AP) From surveillance video, New York investigators gathered that the shooter fled by bike into Central Park, emerged, then took a taxi to a northern Manhattan bus terminal. Once in Pennsylvania, he went from Philadelphia to Pittsburgh, “trying to stay low-profile” by avoiding cameras, Pennsylvania State Police Lt. Col. George Bivens said. A grandson of a wealthy, self-made real estate developer and philanthropist, Mangione is a cousin of a current Maryland state legislator. Mangione was valedictorian at his elite Baltimore prep school, where his 2016 graduation speech lauded his classmates’ “incredible courage to explore the unknown and try new things.” He went on to earn undergraduate and graduate degrees in computer science in 2020 from the University of Pennsylvania, a spokesperson said. “Our family is shocked and devastated by Luigi’s arrest,” Mangione’s family said in a statement posted on social media late Monday by his cousin, Maryland lawmaker Nino Mangione. “We offer our prayers to the family of Brian Thompson and we ask people to pray for all involved.” An NYPD police officer and K-9 dog search around a lake in Central Park, Monday, Dec. 9, 2024, in New York. (AP Photo/Yuki Iwamura) Luigi Nicholas Mangione worked for a time for the car-buying website TrueCar and left in 2023, CEO Jantoon Reigersman said by email. From January to June 2022, Mangione lived at Surfbreak, a “co-living” space at the edge of Honolulu tourist mecca Waikiki. Like other residents of the shared penthouse catering to remote workers, Mangione underwent a background check, said Josiah Ryan, a spokesperson for owner and founder R.J. Martin. “Luigi was just widely considered to be a great guy. There were no complaints,” Ryan said. "There was no sign that might point to these alleged crimes they’re saying he committed.” At Surfbreak, Martin learned Mangione had severe back pain from childhood that interfered with many aspects of his life, from surfing to romance, Ryan said. “He went surfing with R.J. once but it didn’t work out because of his back," Ryan said, but noted that Mangione and Martin often went together to a rock-climbing gym. NYPD officers in diving suits search a lake in Central Park, Monday, Dec. 9, 2024, in New York. (AP Photo/Yuki Iwamura) Mangione left Surfbreak to get surgery on the mainland, Ryan said, then later returned to Honolulu and rented an apartment. Martin stopped hearing from Mangione six months to a year ago. Although the gunman obscured his face during the shooting, he left a trail of evidence in New York, including a backpack he ditched in Central Park, a cellphone found in a pedestrian plaza, a water bottle and a protein bar wrapper. In the days after the shooting, the NYPD collected hundreds of hours of surveillance video and released multiple clips and still images in hopes of enlisting the public’s eyes to help find a suspect. “This combination of old-school detective work and new-age technology is what led to this result today,” Tisch said at the New York news conference. ___ Scolforo reported from Altoona and Hollidaysburg, Pennsylvania. Contributing were Associated Press writers Cedar Attanasio and Jennifer Peltz in New York; Michael Rubinkam and Maryclaire Dale in Pennsylvania; Lea Skene in Baltimore and Jennifer Sinco Kelleher in Honolulu. Get local news delivered to your inbox!Trump vows speed on energy plans
W. Michigan 26, Eastern Michigan 18Artificial intelligence (AI) tools could be used to manipulate online audiences into making decisions – ranging from what to buy to who to vote for – according to researchers at the University of Cambridge. The paper highlights an emerging new marketplace for “digital signals of intent” – known as the “intention economy” – where AI assistants understand, forecast and manipulate human intentions and sell that information on to companies who can profit from it. The intention economy is touted by researchers at Cambridge’s Leverhulme Centre for the Future of Intelligence (LCFI) as a successor to the attention economy, where social networks keep users hooked on their platforms and serve them adverts. The intention economy involves AI-savvy tech companies selling what they know about your motivations, from plans for a stay in a hotel to opinions on a political candidate, to the highest bidder. “For decades, attention has been the currency of the internet ,” said Dr Jonnie Penn, an historian of technology at LCFI. “Sharing your attention with social media platforms such as Facebook and Instagram drove the online economy.” He added: “Unless regulated, the intention economy will treat your motivations as the new currency. It will be a gold rush for those who target, steer and sell human intentions. “We should start to consider the likely impact such a marketplace would have on human aspirations, including free and fair elections, a free press and fair market competition, before we become victims of its unintended consequences.” The study claims that large language models (LLMs), the technology that underpins AI tools such as the ChatGPT chatbot, will be used to “anticipate and steer” users based on “intentional, behavioural and psychological data”. The authors said the attention economy allows advertisers to buy access to users’ attention in the present via real-time bidding on ad exchanges or buy it in the future by acquiring a month’s-worth of ad space on a billboard. LLMs will be able to access attention in real-time as well, by, for instance, asking if a user has thought about seeing a particular film – “have you thought about seeing Spider-Man tonight?” – as well as making suggestions relating to future intentions, such as asking: “You mentioned feeling overworked, shall I book you that movie ticket we’d talked about?” The study raises a scenario where these examples are “dynamically generated” to match factors such as a user’s “personal behavioural traces” and “psychological profile”. “In an intention economy, an LLM could, at low cost, leverage a user’s cadence, politics, vocabulary, age, gender, preferences for sycophancy, and so on, in concert with brokered bids, to maximise the likelihood of achieving a given aim (eg to sell a film ticket),” the study suggests. In such a world, an AI model would steer conversations in the service of advertisers, businesses and other third parties. Advertisers will be able to use generative AI tools to create bespoke online ads, the report claims. It also cites the example of an AI model created by Mark Zuckerberg’s Meta, called Cicero, that has achieved the “human-level” ability to play the board game Diplomacy – a game that the authors say is dependent on inferring and predicting the intent of opponents. AI models will be able to tweak their outputs in response to “streams of incoming user-generated data”, the study added, citing research showing that models can infer personal information through workaday exchanges and even “steer” conversations in order to gain more personal information. The study then raises a future scenario where Meta will auction off to advertisers a user’s intent to book a restaurant, flight or hotel. Although there is already an industry devoted to forecasting and bidding on human behaviour, the report said, AI models will distill those practices into a “highly quantified, dynamic and personalised format”. The study quotes the research team behind Cicero warning that an “[AI] agent may learn to nudge its conversational partner to achieve a particular objective”. The research refers to tech executives discussing how AI models will be able to predict a user’s intent and actions. It quotes the chief executive of the largest AI chipmaker, Jensen Huang of Nvidia , who said last year that models will “figure out what is your intention, what is your desire, what are you trying to do, given the context, and present the information to you in the best possible way”.
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