These female athletes need to speak up about keeping women's sports for women, like Sophie Cunningham did Jacksonville Jaguars set at 8.5 win total after surprising 13-4 season and Wild Card loss to Buffalo Riley Gaines calls USA Today reporter'insane' for invoking Emmett Till in column about Caitlin Clark WNBA All-Star Game betting preview: Team Coop's guards could give them the edge over Team Spoon Tony Romo's brutal golf score before getting arrested paints a nightmarish picture Dolphins cheerleaders reveal new uniforms as rivalry with Cowboys ramps up, Romo DUI memes & Vrabel's puppy Caitlin Clark calls out media's'false characterization' of her amid weeks of controversy Dan Le Batard claims ESPN is run by McAfee and'White people' after layoffs, slanders OutKick in unhinged rant One restaurant chain's special promo may not have been a great idea during Red Sox winning streak Convention or coronation?: Maine Democrats pick Platner replacement Department of War's proposed protocol fuels testosterone debate Convention or coronation?: Maine Democrats pick Platner replacement US intelligence says Iran's new leader more open to nukes than predecessor US intelligence says Iran's new leader more open to nukes than predecessor OutKick Sports Miami Marlins' collapse back to mediocrity is so predictable you could set your watch to it President Donald Trump could not help but poke fun at the New York Mets for losing all the time despite their sky-high payroll this season. I want to take you on a journey back to July 9 in Major League Baseball . The Miami Marlins are ten games above .500 Their pitching looks dominant, they are getting timely hits with great baserunning, and their version of home cooking at loanDepot Park is setting all sorts of team records. It seems like nothing can slow down this freight train from South Florida.

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J.T. Realmuto's baserunning blunder led to a game-ending double play as the Philadelphia Phillies fell 2-1 to the Los Angeles Dodgers at Citizens Bank Park.

Vaughn Grissom fired a creative bounce pass to Oswald Peraza to complete a double play during the Los Angeles Angels' 5-1 win over the St. Louis Cardinals.

Los Angeles Angels fans went tarps off to help propel a walk-off win against the Cardinals, ending a 106-game streak without a comeback victory in the ninth inning.

The Philadelphia Phillies hosted the New York Mets in unhealthy air quality caused by Canadian wildfires, with players reporting visibility issues and smoky conditions during the game.

Major League Baseball banned artificial intelligence tools on iPads during games after teams were building custom apps to help influence in-game strategy.

It appears the urge to turn all critical thinking over to AI has not escaped Major League Baseball teams. Regular baseball viewers have become accustomed to seeing players and staff huddled around tablets in the dugout. The expectation is that the devices are used for reviewing performance and maybe crunching last-minute stats, but apparently MLB officials have intervened to prevent teams from using the hardware for running generative AI. League officials have taken the unusual step of making a mid-season policy change to crack down on the use of custom apps that would take over recommendations regarding substitutions, pitch calling, and other in-game decisions traditionally made by players and coaches. Sources told the publication as many as a third of teams were using tablets for these unintended purposes, although no clubs will be facing any punishment after an MLB review determined that all organizations were now compliant with the new rules, which took effect yesterday.

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Balancing helpfulness and safety (harmlessness) is a critical challenge in aligning large language models (LLMs). Current approaches often decouple these two objectives, training separate preference models for helpfulness and safety, while framing safety as a constraint within a constrained Markov Decision Process (CMDP) framework. This paper identifies a potential issue when using the widely adopted expected safety constraints for LLM safety alignment, termed "safety compensation", where the constraints are satisfied on expectation, but individual prompts may trade off safety, resulting in some responses being overly restrictive while others remain unsafe. To address this issue, we propose Rectified Policy Optimization (RePO), which replaces the expected safety constraint with critical safety constraints imposed on every prompt. At the core of RePO is a policy update mechanism driven by rectified policy gradients, which penalizes the strict safety violation of every prompt, thereby enhancing safety across nearly all prompts. Our experiments demonstrate that RePO outperforms strong baseline methods and significantly enhances LLM safety alignment.