Human vs. ChatGPT NFL Week 6 betting picks: AI goes all-in on totals after another weekly win College football chaos: Historic upsets, Arch Manning's fiasco, clock controversy and CFP ramifications arise Hostile Valkyries fans verbally attacked women's sports activists at WNBA Finals Game 1 in San Francisco Could injured Giants star Jaxson Dart return for the playoffs? Joel Embiid rejects idea 76ers stars must'take a back seat' as NBA regular season looms Steve Sarkisian vows to'evaluate everything,' won't rule out benching Arch Manning amid Texas' two-game skid Freshman Tommy Carr's second-half magic leads Michigan to must-have win over Penn State Ole Miss defense takes charge, shuts down Missouri's high-powered rushing attack in 31-3 win Ohio State shatters Indiana's 22-game winning streak, but questions linger about Julian Sayin's health Ex-wrestler Pac's sudden death cause revealed by Cook County Medical Examiner's Office Eagles' Jalen Hurts placed on injured reserve after superficial blood clot found in his calf area Trump defends Iran strikes amid gas price concerns: 'I don't view things politically' Pro-Palestinian, communist mobs in France are making an'anarchic effort,' expert warns Kaylee McGhee White: Voting for Democrats is voting for a'progressive grievance hamster wheel' Kaylee McGhee White: Dems don't even know what they're supposed to be mad about Lara Trump: With super intelligence, there's information everywhere you turn Benjamin Netanyahu: What genocidal country sends food to its enemy? Benjamin Netanyahu: The Iranian people have been taken captive by'ideological thugs' Netanyahu: Let's forge a different future for the Middle East Rep Andy Barr: If it taxes like a socialist, it's a socialist Jack Smith's actions were unjustified for his mandate, Gregg Jarrett says'Border czar' Tom Homan touts major ICE arrest surge Mike Rogers calls Michigan'last line of defense' against socialism The former quarterback wants to hear directly from officials while players and coaches are still answering questions. Former NFL QB Sean Salisbury tells OutKick that officials should answer questions immediately after games, be held accountable for obvious mistakes and stop escalating confrontations with players. NFL players and coaches have to answer questions after games, usually while they're still angry about whatever went wrong.

Teenager's hand blown off during confrontation between France school protesters and police Image caption, French school protests have led to clashes between police and students in recent days. A 15-year-old boy's hand was blown off during a confrontation between police and demonstrators near a school in France, an official has said, as student protests continue across the country. The very serious incident happened in the north-eastern city of Lens on Monday morning, according to the prefect of Pas-de-Calais, François-Xavier Lauch. The student's life is not in danger, he said, adding that the teenager was transferred very quickly to a hospital nearby. Around 500 schools were partially or totally closed across the country on Monday amid student protests over the condition of school buildings and staffing which have led to clashes with police in recent days.

Joe Burrow's girlfriend shares cheating hot take, woman's sister hooked up with her date & regaining the spark NFL sideline reporter Melanie Collins does it again, Sydney Sweeney to the moon & Tomlin's Minecraft reveal MLB fans explode as fishy images of Sonny Gray's neck raise eyebrows after Red Sox get trounced Jerry Jones goes all in as Cowboys trade for Steelers' Joey Porter Jr in hopes of Super Bowl push Players and media hate Fever fans for one simple reason: They think they're conservative Patrick McEnroe on U.S. Open weed smell, trans athletes, foreign recruits reshaping college tennis AEW airs gripping Jon Moxley promo to start Pac tribute show after wrestler's death Tennessee may have to look at other methods after inmate's botched execution, expert says Dr. Siegel explains why inmate's execution may have failed OutKick Sports WNBA reveals why A'ja Wilson was not ejected for approaching Fever fan during playoff game Craig Carton Puts the WNBA And A'Ja Wilson ON BLAST | The Craig Carton Show A'ja Wilson found herself face-to-face with a fan Tuesday night during Game 2 of the WNBA playoffs against the Indiana Fever, and Craig Carton is calling her and the league out over the whole incident! Las Vegas Aces star A'ja Wilson wasn't ejected for confronting an Indiana Fever fan during Game 2 of their WNBA first-round playoff series because officials determined she remained in an area beside the basket that they considered part of the court area, OutKick has learned. Following an in-game review during Tuesday's Aces-Fever playoff game, officials concluded that Wilson was in a player escape lane adjacent to the basket stanchion. That determination was the basis for allowing the Las Vegas star to remain in the game, according to a league source. The WNBA also reviewed the incident and found that the fan had not violated its Fan Code of Conduct.

Harrison Butker's 69-yard field goal demonstrates the NFL's latest big scoring controversy Nationals outfielder does his best Spider-Man impression for one of baseball's best catches of the year Oregon coach Dan Lanning lays out multiple reasons why NFL players returning to college football is'unfair' Ryan Lochte's fiancée wants his former Playboy model ex-wife to take those'homewrecker' claims somewhere else Chiefs' Harrison Butker nails incredible 69-yard field goal vs Bucs, shares disappointment with performance Supporting data centers is'perilous' politically: Brian Kilmeade'Misinformation' about AI data centers is widespread, former Texas Gov Rick Perry says Socialists don't believe in liberty of any kind: Daniel Di Martino North, South Korea have a'complicated' relationship: Rep Brian Mast There is no justice in the history of the Supreme Court more willing to'go further' than Justice Clarence Thomas: Sen. Ted Cruz Clarence Thomas won't'pick a fight' or'seek trouble': Sen Ted Cruz Iran threatens'seismic retaliation' as Trump administration prepares new sanctions Freedom says the Chicago Sky guard told him'she's not gonna sleep with you' after he cheered for Sophie Cunningham Former NBA player Enes Kanter Freedom said Chicago Sky guard Natasha Cloud made a vulgar remark toward him and repeatedly cursed before security removed him from Sunday night's game against the Indiana Fever. Freedom, who was sitting near the baseline at Wintrust Arena, said the confrontation began after he celebrated a 3-pointer by Fever guard Sophie Cunningham. Sophie Cunningham shot a three, and I put my hands up to celebrate, Freedom said. Literally, a couple possessions later, Natasha came back and started screaming and yelling and said, 'She's not gonna sleep with you.' Chicago Sky guard Natasha Cloud argues with former NBA center Enes Kanter Freedom during the second half of a WNBA basketball game against the Indiana Fever on Sunday, Aug. 23, 2026, in Chicago. And I was like, 'I am not trying to sleep with her. I'm just here to protect women and support her.' And then, obviously, after that she started yapping, and she started to walk towards me, and literally I just got up, and then I was like, 'I'm just here to protect women, and that's all.' Video of the incident showed Cloud walking toward Freedom, yelling and pointing at him late in the third quarter. Freedom stood, extended his arms and took a step onto the court as security and Sky players moved between them.

As the conflict in Yemen rages on and spills over into the Red Sea, developments in recent weeks reveal a new trend worth pondering. The Houthis group, which for years almost monopolised the advantage of drone warfare, has begun facing fire from the same weapon used by its opponents on multiple fronts. This does not mean that the balance of power has shifted, or that the Houthis have lost their missile and drone superiority. However, the increasing use of this type of warfare by the forces loyal to the internationally recognised government may change the nature of the confrontation, especially if it shifts from scattered operations to an organised and sustained capability. They were able to monitor their opponents and strike their gatherings, command centres and facilities far from the lines of contact, while government forces were mostly in a position of defence and interception.

In the late 19th century, Georg Cantor believed his new theory could help the Church understand the infinite nature of the divine. It might have escaped lay people at the time, but for some observers the ascension of Leo XIV as head of the Catholic Church this year was a reminder that the last time a Pope Leo sat in St. Peter's Chair in the Vatican, from 1878 to 1903, the modern view of infinity was born. Georg Cantor's completely original "naïve" set theory caused both revolution and revolt in mathematical circles, with some embracing his ideas and others rejecting them. Cantor was deeply disappointed with the negative reactions, of course, but never with his own ideas. Because he held firm to the belief that he had a main line to the absolute--that his ideas came direct from (the divine intellect).

-- In swarm robotics, confrontation scenarios, including strategic confrontations, require efficient decision-making that integrates discrete commands and continuous actions. Traditional task and motion planning methods separate decision-making into two layers, but their unidirectional structure fails to capture the interdependence between these layers, limiting adaptability in dynamic environments. Here, we propose a novel bidirectional approach based on hierarchical reinforcement learning, enabling dynamic interaction between the layers. This method effectively maps commands to task allocation and actions to path planning, while leveraging cross-training techniques to enhance learning across the hierarchical framework. Furthermore, we introduce a trajectory prediction model that bridges abstract task representations with actionable planning goals. In our experiments, it achieves over 80% in confrontation win rate and under 0.01 seconds in decision time, outperforming existing approaches. Demonstrations through large-scale tests and real-world robot experiments further emphasize the generalization capabilities and practical applicability of our method. I. INTRODUCTION Recent advances in artificial intelligence lead to significant progress in robotics [1], [2], with particular attention given to robotic swarm confrontations [3], [4].

This paper investigates the specific scenario of high-intensity confrontations between humans and robots, to understand how robots can defuse the conflict. It focuses on the effectiveness of using five different affective expression modalities as main drivers for defusing the conflict. The aim is to discover any strengths or weaknesses in using each modality to mitigate the hostility that people feel towards a poorly performing robot. The defusing of the situation is accomplished by making the robot better at acknowledging the conflict and by letting it express remorse. To facilitate the tests, we used a custom affective robot in a simulated conflict situation with 105 test participants. The results show that all tested expression modalities can successfully be used to defuse the situation and convey an acknowledgment of the confrontation. The ratings were remarkably similar, but the movement modality was different (ANON p$<$.05) than the other modalities. The test participants also had similar affective interpretations on how impacted the robot was of the confrontation across all expression modalities. This indicates that defusing a high-intensity interaction may not demand special attention to the expression abilities of the robot, but rather require attention to the abilities of being socially aware of the situation and reacting in accordance with it.

This article redefines arbitrariness not as a normative flaw or a symptom of domination, but as a foundational functional mechanism structuring human systems and interactions. Diverging from critical traditions that conflate arbitrariness with injustice, it posits arbitrariness as a semiotic trait: a property enabling systems - linguistic, legal, or social - to operate effectively while withholding their internal rationale. Building on Ferdinand de Saussure's concept of l'arbitraire du signe, the analysis extends this principle beyond language to demonstrate its cross-domain applicability, particularly in law and social dynamics. The paper introduces the "Motivation -> Constatability -> Contestability" chain, arguing that motivation functions as a crucial interface rendering an act's logic vulnerable to intersubjective contestation. When this chain is broken through mechanisms like "immotivization" or "Conflict Lateralization" (exemplified by "the blur of the wolf drowned in the fish"), acts produce binding effects without exposing their rationale, thus precluding justiciability. This structural opacity, while appearing illogical, is a deliberate design protecting authority from accountability. Drawing on Shannon's entropy model, the paper formalizes arbitrariness as A = H(L|M) (conditional entropy). It thereby proposes a modern theory of arbitrariness as a neutral operator central to control as well as care, an overlooked dimension of interpersonal relations. While primarily developed through human social systems, this framework also illuminates a new pathway for analyzing explainability in advanced artificial intelligence systems.

In multiple unmanned ground vehicle confrontations, autonomously evolving multi-agent tactical decisions from situational awareness remain a significant challenge. Traditional handcraft rule-based methods become vulnerable in the complicated and transient battlefield environment, and current reinforcement learning methods mainly focus on action manipulation instead of strategic decisions due to lack of interpretability. Here, we propose a vision-language model-based commander to address the issue of intelligent perception-to-decision reasoning in autonomous confrontations. Our method integrates a vision language model for scene understanding and a lightweight large language model for strategic reasoning, achieving unified perception and decision within a shared semantic space, with strong adaptability and interpretability. Unlike rule-based search and reinforcement learning methods, the combination of the two modules establishes a full-chain process, reflecting the cognitive process of human commanders. Simulation and ablation experiments validate that the proposed approach achieves a win rate of over 80% compared with baseline models.