Diamondbacks manager Torey Lovullo apologizes to Chicago Cubs after sign stealing controversy: 'bush league' Caitlin Clark helps Fever deliver WNBA's largest regular-season TV audience in 29 years Fans express concern over Tiger Woods' appearance in rare video since March DUI, rehab Commanders' Jayden Daniels deflects question on LSU cease-and-desist letter after social media trolling wave Female Little Leaguer is smashing records, CBS's new college football reporter & heartbreaking sports moments! Hot take alert: ESPN getting rid of'BottomLine' score ticker is a travesty, not a reason to celebrate Livvy Dunne selflessly passes along three keys to'Baywatch' slow motion run to NFL quarterback's girlfriend Shirin Yadegar: Let's be really clear about what Hasan Piker is messaging Iran doesn't have any significant attacks left that threaten anything: Ret Marine colonel Iran doesn't have any significant attacks left that threaten anything: Ret Marine colonel The radical left is no longer the'fringe,' Andrew Kolvet warns GOP needs'better messaging' on AI data centers: Tomi Lahren GOP needs'better messaging' on AI data centers: Tomi Lahren Meta acted on greed that cost kids' lives, says'Scrolling 2 Death' podcast host Meta acted on greed that cost kids' lives, says'Scrolling 2 Death' podcast host Brunson dismissed Clark's 37-point game due to the margin but praised Angel Reese's rebound record in a similar blowout WNBA fans outside Gainbridge Fieldhouse in Indiana talk to OutKick following the controversy stirred up by DiJonai Carrington over her White privilege remark. We previously discussed the all-time low the sports media reached in defending DiJonai Carrington after she clotheslined Sophie Cunningham and then posted White privilege from the locker room following her ejection. Brunson claimed Carrington did not deserve a Flagrant 2. Instead, she argued that Cunningham should have been ejected -- not the player who clotheslined her. Brunson also shared a post claiming white WNBA players benefit from reverse DEI .

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. LeBron James speaks onstage during the TIME100 Sports Gala on July 16, 2026 in New York City. LeBron James speaks onstage during the TIME100 Sports Gala on July 16, 2026 in New York City.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens.

While dating apps were once seen as taboo, they're now one of the main ways that singletons find love around the world. And if you're dipping your toe into the dating scene, make sure you get yourself online today. Today is officially the busiest day of the year for dating apps, earning it the title of'Dating Sunday'. Based on last year's figures, Tinder says the number of messages sent globally will be 22 per cent higher than usual, while the number of'Likes' will be 18.2 per cent higher. 'There couldn't be a better time to put yourself out there with "peak dating season" on the horizon,' Tinder said.

While dating apps were once seen as taboo, they're now one of the main ways that singletons find love around the world. And if you're dipping your toe into the dating scene this new year, make sure you get yourself online later this week. The busiest day of the year for dating apps will fall on Sunday 7 January, according to Tinder. Based on last year's figures, Tinder says that the number of messages sent globally will be 22 per cent higher than usual, while the number of'Likes' will be 18.2 per cent higher. 'There couldn't be a better time to put yourself out there with "peak dating season" on the horizon,' Tinder said.

Backdoor learning has become an emerging research area towards building a trustworthy machine learning system. While a lot of works have studied the hidden danger of backdoor attacks in image or text classification, there is a limited understanding of the model's robustness on backdoor attacks when the output space is infinite and discrete. In this paper, we study a much more challenging problem of testing whether sequence-to-sequence (seq2seq) models are vulnerable to backdoor attacks. Specifically, we find by only injecting 0.2\% samples of the dataset, we can cause the seq2seq model to generate the designated keyword and even the whole sentence. Furthermore, we utilize Byte Pair Encoding (BPE) to create multiple new triggers, which brings new challenges to backdoor detection since these backdoors are not static. Extensive experiments on machine translation and text summarization have been conducted to show our proposed methods could achieve over 90\% attack success rate on multiple datasets and models.