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White House defends Trump over middle-finger gesture at heckler

BBC News

'Appropriate and unambiguous': White House defends Trump over middle-finger gesture at heckler The White House has defended US President Donald Trump after he aimed an offensive gesture at a heckler during his appearance at a Ford factory in Detroit on Tuesday. Footage of the incident published by TMZ appears to show the president responding to a man who shouted at him from afar. The White House said: A lunatic was wildly screaming expletives in a complete fit of rage, and the President gave an appropriate and unambiguous response. The heckler has been suspended by Ford, the United Auto Workers union told the BBC's US partner, CBS News. A Ford spokesperson told CBS: One of our core values is respect and we don't condone anyone saying anything inappropriate like that within our facilities.


Ranking Joint Policies in Dynamic Games using Evolutionary Dynamics

Koliou, Natalia, Vouros, George

arXiv.org Artificial Intelligence

Game-theoretic solution concepts, such as the Nash equilibrium, have been key to finding stable joint actions in multi-player games. However, it has been shown that the dynamics of agents' interactions, even in simple two-player games with few strategies, are incapable of reaching Nash equilibria, exhibiting complex and unpredictable behavior. Instead, evolutionary approaches can describe the long-term persistence of strategies and filter out transient ones, accounting for the long-term dynamics of agents' interactions. Our goal is to identify agents' joint strategies that result in stable behavior, being resistant to changes, while also accounting for agents' payoffs, in dynamic games. Towards this goal, and building on previous results, this paper proposes transforming dynamic games into their empirical forms by considering agents' strategies instead of agents' actions, and applying the evolutionary methodology $\alpha$-Rank to evaluate and rank strategy profiles according to their long-term dynamics. This methodology not only allows us to identify joint strategies that are strong through agents' long-term interactions, but also provides a descriptive, transparent framework regarding the high ranking of these strategies. Experiments report on agents that aim to collaboratively solve a stochastic version of the graph coloring problem. We consider different styles of play as strategies to define the empirical game, and train policies realizing these strategies, using the DQN algorithm. Then we run simulations to generate the payoff matrix required by $\alpha$-Rank to rank joint strategies.


Bidding Games on Markov Decision Processes with Quantitative Reachability Objectives

Avni, Guy, Kurečka, Martin, Mallik, Kaushik, Novotný, Petr, Sadhukhan, Suman

arXiv.org Artificial Intelligence

Graph games are fundamental in strategic reasoning of multi-agent systems and their environments. We study a new family of graph games which combine stochastic environmental uncertainties and auction-based interactions among the agents, formalized as bidding games on (finite) Markov decision processes (MDP). Normally, on MDPs, a single decision-maker chooses a sequence of actions, producing a probability distribution over infinite paths. In bidding games on MDPs, two players -- called the reachability and safety players -- bid for the privilege of choosing the next action at each step. The reachability player's goal is to maximize the probability of reaching a target vertex, whereas the safety player's goal is to minimize it. These games generalize traditional bidding games on graphs, and the existing analysis techniques do not extend. For instance, the central property of traditional bidding games is the existence of a threshold budget, which is a necessary and sufficient budget to guarantee winning for the reachability player. For MDPs, the threshold becomes a relation between the budgets and probabilities of reaching the target. We devise value-iteration algorithms that approximate thresholds and optimal policies for general MDPs, and compute the exact solutions for acyclic MDPs, and show that finding thresholds is at least as hard as solving simple-stochastic games.


Drone Delivery Sparks Chaos in Hilarious Sci-Fi Novel Deliver Us

WIRED

Deliver Us, a 2018 novel by Christopher Robinson and Gavin Kovite, takes a hilarious look at the future of drone delivery. The plot revolves around a social media activist named Piper Prince who attempts to stop Amazon from taking over her Detroit neighborhood. "It's written in a Coen brothers sort of tone," Robinson says in Episode 561 of the Geek's Guide to the Galaxy podcast. I wanted the world and the characters to be slightly pitched up from reality. So Jeff Bezos and his S-Team are characters in the book, and they are a little bit like the boardroom characters from The Hudsucker Proxy." Robinson sees Detroit as the perfect setting for a novel about the collision between social justice activism and breakneck technological disruption, given the city's rich history and uncertain future. "It's a place that was the arsenal of democracy," he says. "The Jetsons future is a future that was extrapolated from what Detroit used to be.


'Are you kidding, carjacking?': The problem with facial recognition in policing

The Guardian

Porcha Woodruff was eight months pregnant when police in Detroit, Michigan came to arrest her on charges of carjacking and robbery. She was getting her two children ready for school when six police officers knocked on her door and presented her with an arrest warrant. She thought it was a prank. Do you see that I am eight months pregnant?" the lawsuit Woodruff filed against Detroit police reads. She sent her children upstairs to tell her fiance that "Mommy's going to jail". She was detained and questioned for 11 hours and released on a $100,000 bond. She immediately went to the hospital, where she was treated for dehydration. Woodruff later found out that she was the latest victim of false identification by facial recognition. After her image was incorrectly matched to video footage of a woman at the gas station where the carjacking took place, her picture was shown to the victim in a photo lineup. According to the lawsuit, the victim allegedly chose Woodruff's picture as the woman ...


Detroit workers, retirees still suffering 10 years after city's bankruptcy

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Mike Berent has spent more than 27 years rushing into burning houses in Detroit, pulling people to safety and ensuring his fellow firefighters get out alive. But as the 52-year-old Detroit Fire Department lieutenant approaches mandatory retirement at age 60, he says one thing is clear: He will need to keep working to make ends meet. "I'm trying to put as much money away as a I can," said Berent, who also works in sales.


Ford Jump Starts Its Attempt to Revive Detroit

WIRED

For almost two decades after it opened in 1913, Michigan's Central Station was a major stop on the nation's interurban rail network. Then the private car took over the US, and Detroit declined. By the 1970's, white residents were fleeing to the suburbs, auto jobs were leaving the state and the country, and local corruption soared. At the turn of the century, the train depot and the 18-story office towers behind it had been abandoned for 30 years, the faded exterior looming over Detroit's Corktown and Mexicantown neighborhoods, a sign that things were going very poorly in Detroit. By 2018, the city and Ford Motor Company were ready to tell another story.


Regulators should keep their hands off AI and forget Musk-backed pause: economist

FOX News

'The Five' co-hosts discuss new AI bot ChatGPT and the impact artificial intelligence will have on future jobs. The growing strength of artificial intelligence threatens millions of jobs, but if regulators stay away, the emerging tech may make society wealthier and more productive. History has repeatedly shown the same result for other technological advances dating back to the Industrial Revolution, economist Peter St. Onge said. "Throughout history, we've gone through tremendous technological revolutions. Generally, technologies kill jobs," St. Onge, with the Heritage Foundation, told Fox News Digital.


AI chatbot 'hallucinations' perpetuate political falsehoods, biases that have rewritten American history

FOX News

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Artificial intelligence query platforms offer in many cases a hallucinatory hard-left version of politics and history. The same biases and outright lies that reshaped academia over the last 50 years and infected the American body politic with division are endemic throughout versions of historical events perpetuated by OpenAI's generative platform ChatGPT, according to a number of searches done by Fox News Digital. "Artificial Intelligence will simply reflect and magnify the mindset and ideology of its creators -- and impress those values upon the rest of us," Victor Davis Hanson, senior fellow at the Hoover Institution, told Fox News Digital. "In other words, we are creating Silicon Valley-minded Frankensteins and unleashing them on the nation," he said.


Did China Invent Artificial Woman Called HOORI?!

#artificialintelligence

Did China just introduce an artificial woman called HOORI, with artificial intelligence and 72 hour battery life?! Take a look at the viral video, and find out what the facts really are! Netizens are sharing a video of an artificial woman on WhatsApp and social media, claiming that she was invented by a Chinese company. A artificial woman made in China has been released into the Chinese market. The body flesh is made of 100% Fanta Flesh material with silicone parts. A single charge will work for 72 hours without interruption.