Our obsession with deadly game shows--from "The Running Man" and "Squid Game" to MrBeast's real-life reënactments--reflects a shift in the national mood to something increasingly zero-sum. It seems we can't get enough of game shows in which the losers die. "The Hunger Games" became a multibillion-dollar media franchise over the past decade, with audiences returning to the theatre, time and time again, to watch adolescents try to kill one another in an enormous arena--a contest devised by the leaders of a society rife with inequality. Netflix's " Squid Game " followed four hundred and fifty-six desperate individuals into an underworld where they play lethal versions of children's games in the hope of winning a life-changing amount of money. Four weeks after its release, the show had become Netflix's most-watched series ever; to date, the first season has been viewed more than two hundred and sixty-five million times.

'Gutfeld!' guests discuss a Jeopardy question that used alleged murderer Brian Laundrie as the clue. A "Jeopardy!" contestant is going viral this week after making what many fans are considering one of the biggest blunders in the show's history. On Wednesday's episode, a woman named Karen had a huge lead over the other two contestants as they neared the end of the second round – she had earned $21,800, while her competitors had earned $7,100 and $6,400. When there were only a few clues left on the Double Jeopardy board, Karen found a Daily Double in the "Hans, Solo" category. If she had made a modest bet, she would have been sure to win the entire game after Final Jeopardy, as the other players couldn't possibly catch up to her lead.

Prompts with different control signals (e.g., length, keywords, etc.) can be used to control text summarization. When control signals are available, they can control the properties of generated summaries and potentially improve summarization quality (since more information are given). Unfortunately, control signals are not already available during inference time. In this paper, we propose Lotus (shorthand for Latent Prompt Tuning for Summarization), which is a single model that can be applied in both controlled and uncontrolled (without control signals) modes. During training, Lotus learns latent prompt representations from prompts with gold control signals using a contrastive learning objective. Experiments show Lotus in uncontrolled mode consistently improves upon strong (uncontrollable) summarization models across four different summarization datasets. We also demonstrate generated summaries can be controlled using prompts with user specified control tokens.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Mattea Roach, a tutor from Toronto, Canada, had won $560,983 over the course of her winning streak. This image released by Sony Pictures Television shows Mattea Roach, a 23-year-old Canadian contestant on the game show "Jeopardy!" Heading into the final round of Friday's match, Roach was leading with $19,200 and wagered $3,001 on the Final Jeopardy question.

On Wednesday, October 13 at 8:30am CT, William Shatner, who starred as Captain Kirk in Star Trek: The Original Series, will be going where no Hollywood star has gone before -- a suborbital sojourn that will take him 66 miles to the edge of space where he will be able to marvel at the curvature of earth and enjoy zero gravity weightlessness with his Blue Origin crew members. The entire experience is expected to last about 10 minutes and will be similar to the ride that Blue Origin and Amazon founder Jeff Bezos took this past summer with his brother and crew. Shatner might be the oldest person to rocket to space at 90 years old, but he's not the first actor to go. Feature filmmakers from Russia landed on the International Space Station last week beating Tom Cruise to bragging rights. The actor has been working on a $200 million Universal Studios film with SpaceX founder Elon Musk which NASA tweeted last year is expected to be shot on the space station.

IBM has designed an artificial intelligence system that can debate with humans. The company published a paper in the journal called Nature, where one of the team members described the AI system and how well it performed against a human opponent. Chris Reed, a professor in the University of Dundee has published a News & Views article in the same journal throwing light on the history and development of artificial intelligence as a disruptive technology based around the types of logic used in human arguments and the system created by IBM. As Reed explains in his piece, debating is a skill that humans have been perfecting for thousands of years. It's usually a type of discussion in which a person or a group persuades others that their opinion on a subject is right.

Imagine this: you're on a dating game show and there are three singles behind a curtain. You can ask the three people anything you want to know, but so that their voices don't sway your decision, they text their answers to the show's host, who reads them out. Who would you pick to go out with? The YouTube show Mind Field tried this but, unbeknownst to the female participants on the fake game show, bachelor number two was secretly an artificial intelligence chatbot! The chatbot's answers were often absurd.

As she met her fellow captains and competitors, all multiweek winners on the game show (including me), she was surprised how familiar everyone seemed to be with each other. Back in 2014, when she made her first appearance, "I didn't know a single person who had ever been on the show," Julia told me. But this time, she marveled, "everyone else seems to have known each other, either personally or by reputation, for decades." They shared years of experience on Jeopardy's secret farm team: quiz bowl. Of the 18 "All-Stars" in the tourney, all but Julia and two others had played the academic competition known as quiz bowl in high school or college.

As children, most of us humans are taught not to be a "sore loser" by throwing some kind of tantrum when we lose a competition. The idea of gracefully accepting defeat forms the basis of friendship, democracy, and game shows, but Fox is risking the sanctity of all of that by developing a new show in which humans must compete against malevolent entities that know nothing about the danger of being a sore loser. We are talking, of course, about evil robots--or at least neutral robots that have the potential to become evil. According to Deadline, Fox has made a pilot for a game show called Man Vs Robot, which comes from British production company Tuesday's Child and will center on families competing against robots in a "battle for supremacy." It's all a bit unclear from Deadline's story, but it sounds like this battle for supremacy will involve the humans trying to beat human-sized robots in games of some kind, with Tuesday's Child head Karen Smith naming Pong as a possibly hypothetical example of what one of these challenges could be.

IBM has what they call a cognitive computing platform. For most folks, the "face" of this platform is an artificial intelligence called Watson. Watson has obtained celebrity status by participating on TV game shows and getting featured in videos with celebrities like Bob Dylan and Stephen Hawking. It's quite entertaining for people to watch Watson on game shows like Jeopardy. It's amusing to see how this very intelligent computer interacts with famous celebrities too.