Golfer distracted by'a nice rack' shanks tee shot in the direction of large bull elk, wisely grabs a new ball BYU QB Bear Bachmeier says Notre Dame'disrespected' him and his family following upset win over Irish Former MLB star Jimmy Rollins was not hacked, he is the co-founder of a women's underwear brand 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 Netanyahu says Israel'never had an ally' like Trump, details IDF's military strategy Netanyahu opens up about'special relationship' with Trump Trump says he wants Katie Zacharia to have a'good life' Pope Leo XIV's brother talks the pontiff's cancer surgery recovery Russia launches 300 drones following Ukraine's strike on oil refinery The airman lost control during his descent from the rafters as part of UTSA's annual Salute to Armed Forces pregame ceremony Is the Dan Quinn about to be fired? An Air Force service member died Saturday after falling while rappelling from the rafters of the Alamodome ahead of UTSA's game against Navy. The airman was assigned to the 6th Combat Training Squadron, Detachment 2, out of Nellis Air Force Base. His identity has not been released, and the incident is under military investigation.

Tyreek Hill's NFL return seemed imminent and then his divorce trial began with domestic abuse allegations Coyotes choose the front of a couple's Southern California cabin for an early morning scrap Dan Dakich calls Deion Sanders' Colorado program a'Trojan horse': 'This is a s-- show' Washington trans athlete's school district responds to alleged assault victim's SCOTUS injunction request NFL refs have set all-time record for flags this season, and it's changing the outcome of games Loyalty be damned: Did these coaches stick around a season too long and blow their chances at a big gig? Patriots receiver's girlfriend celebrates his game-winning touchdown by peeing her pants LeBron James' deal with Fanatics gives him a unique way to handle his new East Coast commute Sophie Cunningham must leave Fever'circus' so team can focus on basketball, The Athletic columnist says Questions mount over whether lawmakers who don't use AI should regulate it Laura: Hand the reigns to the Democrats, and expect the same results we're seeing in France John Kiriakou explains his unlikely popularity with Gen Z: 'I'm telling them the truth' Ex-CIA officer John Kiriakou: 'Donald Trump is the only person' who can give my life back John Kiriakou warns US is'not prepared' for AI threats: 'The new frontier' Jesse Watters: Obama doesn't have the'golden touch' Infection expert warns of'future lab outbreaks' after suspected plague death in Russia OutKick Hurricane Isaias threatens Georgia vs. Alabama SEC showdown as Trump plans Tuscaloosa visit WATCH LIVE: Trump speaks with reporters following high-profile college football trip. President Trump speaks with reporters after returning from the Tennessee-Texas college SEC football game. BIRMINGHAM, AL - We are on the cusp of seeing the first named hurricane of the 2026 season, and it comes at a busy time on the calendar, especially with Georgia scheduled to face Alabama in a college football game on Saturday in Tuscaloosa. Right now, meteorologists around the south are waiting on information to come in from the National Hurricane Service on what the potential impact location will be when'Isaias' comes ashore somewhere along the Alabama, Florida or Mississippi panhandle in the coming days.

Journalist hilariously fails claiming WNBA's popularity isn't affected by Caitlin Clark's playoff exit Cooper Gallant slept in his truck for years chasing pro fishing dream: 'I didn't have a Plan B' Deion Sanders dared the media to write the truth about Colorado football: Ok, it's time to end this charade Madison Beer is being accused of ruining Justin Herbert's career, sad Eagles fans & Yankees fans fighting Bears' Devin Bush says win over Jets was'probably one of the easiest NFL games I have played in' WWE great Diamond Dallas Page'would love to see' LA Knight capture title vs Roman Reigns at Money in the Bank El-Sayed responds to Mamdani's feelings about socialism This campaign was never about a'streamer in California': Abdul El-Sayed'LOST THEIR MINDS': Trump rallies Nebraska, Thune warns Republicans Jack Smith wears'No Kings' shirt just days after Trump hearing This man was radicalized by the Taliban. Then he became the US government's secret weapon Art Laffer on socialism threat: 'I don't think these guys are serious' Ken Griffin's $3 BILLION donation sparks NYC vs Miami debate We've seen this playbook before, Gen. Keane says OutKick Sophie Cunningham sends a message to the woman-hating WNBA players with her hat, cranky Prime & Maggie Sajak! Sophie Cunningham is SPOT ON with Criticisms of WNBA Players' Inability to Handle the Spotlight | Don't @ Me w/ Dan Dakich'Nightcaps' is a daily column that catches you up on the biggest sports, news and culture stories you may have missed while pretending to do work at your desk. It runs Monday-Friday on OutKick.com . We've got playoff baseball tonight.

'Team Mom' Alison Lee completes largest comeback in Solheim Cup history for Team USA to cap off unbeaten week'RedZone' returns for 18th season and, despite 15-second commercials, could still be on in the White House Dan Dakich says women might be the reason for Nike's downfall: 'They p----d them off' College football's chaos era is here: Texas rallies, Oregon falls and Lane Kiffin eyes return to Ole Miss America's women's basketball epic reaches its climax with national unity on the line in FIBA World Cup final Oklahoma State stuns Oregon, deals early season blow to Ducks' national title hopes Former ESPN host hypocritically calls network a'political lobbying firm' after Ted Cruz appearance White House advisor calls on tech leaders to'stop pretending' over AI threat Canada explores'associate member' status with EU amid US trade tensions Trespasser stopped by security at Kamala Harris' Malibu property OutKick Sports Texas coach Steve Sarkisian's awkward ESPN interview divides internet during team's win over Ohio State Urban Meyer joins Dan Dakich to break down the biggest storylines in college football, including Michigan's controversial win over Western Michigan, Bryce Underwood's rough start, and Oklahoma's chances against the Wolverines. Texas Longhorns head coach Steve Sarkisian had a long night on Saturday. He saw the Longhorns go down 23-3 in the third quarter and then mount an epic comeback to stun Ohio State, 24-23. Over the course of the night, Sarkisian appeared to be frustrated with the halftime and postgame interview process. Texas head coach Steve Sarkisian, center, celebrates with his players after their win over Ohio State in an NCAA college football game in Austin, Texas, on Saturday, Sept. 12, 2026.

When humans need to learn a new skill, we can acquire knowledge through written books, including textbooks, tutorials, etc. However, current research for decision-making, like reinforcement learning (RL), has primarily required numerous real interactions with the target environment to learn a skill, while failing to utilize the existing knowledge already summarized in the text.

Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process behavior. However, the number of real-world object-centric event logs remains limited, and further studies are needed to test their usefulness. The increasing availability of data from team sports can facilitate object-centric process mining, leveraging both real-world data and suitable use cases. In this paper, we present a framework for transforming football (soccer) data into an object-centric event log, further enhanced with a spatial dimension. We demonstrate the effectiveness of our framework by generating object-centric event logs based on real-world football data and discuss the results for varying process representations. With our paper, we provide the first example for object-centric event logs in football analytics. Future work should consider variant analysis and filtering techniques to better handle variability.

One thing most game developers can agree on in the modern industry is that it's hard to drum up any awareness for your latest project without a mammoth marketing budget. Last year, almost 20,000 new titles were released on the PC gaming platform Steam alone, the majority disappearing into the content blackhole that is the internet. So when a smaller studio is offered the chance to get on the stage at the Summer Games Fest, an event streamed live to a global audience of around 50 million people, it's a big deal. Not something that you want to spectacularly misjudge. Enter Ian Proulx, cofounder of 1047 Games.

Large language models (LLMs) exhibit excellent performance in natural language processing (NLP), but remain highly sensitive to the quality of input queries, especially when these queries contain misleading or inaccurate information. Existing methods focus on correcting the output, but they often overlook the potential of improving the ability of LLMs to detect and correct misleading content in the input itself. In this paper, we propose a novel three-stage fine-tuning method that enhances the ability of LLMs to detect and correct misleading information in the input, further improving response accuracy and reducing hallucinations. Specifically, the three stages include (1) training LLMs to identify misleading information, (2) training LLMs to correct the misleading information using built-in or external knowledge, and (3) training LLMs to generate accurate answers based on the corrected queries. To evaluate our method, we conducted experiments on three datasets for the hallucination detection task and the question answering~(QA) task, as well as two datasets containing misleading information that we constructed. The experimental results demonstrate that our method significantly improves the accuracy and factuality of LLM responses, while also enhancing the ability to detect hallucinations and reducing the generation of hallucinations in the output, particularly when the query contains misleading information.

When humans need to learn a new skill, we can acquire knowledge through written books, including textbooks, tutorials, etc. However, current research for decision-making, like reinforcement learning (RL), has primarily required numerous real interactions with the target environment to learn a skill, while failing to utilize the existing knowledge already summarized in the text. In this paper, we discuss a new policy learning problem called Policy Learning from tutorial Books (PLfB) upon the shoulders of LLMs' systems, which aims to leverage rich resources such as tutorial books to derive a policy network. Inspired by how humans learn from books, we solve the problem via a three-stage framework: Understanding, Rehearsing, and Introspecting (URI). In particular, it first rehearses decision-making trajectories based on the derived knowledge after understanding the books, then introspects in the imaginary dataset to distill a policy network.

Evaluating the performance of human is a common need across many applications, such as in engineering and sports. When evaluating human performance in completing complex and interactive tasks, the most common way is to use a metric having been proved efficient for that context, or to use subjective measurement techniques. However, this can be an error prone and unreliable process since static metrics cannot capture all the complex contexts associated with such tasks and biases exist in subjective measurement. The objective of our research is to create data-driven AI agents as computational benchmarks to evaluate human performance in solving difficult tasks involving multiple humans and contextual factors. We demonstrate this within the context of football performance analysis. We train a generative model based on Conditional Variational Recurrent Neural Network (VRNN) Model on a large player and ball tracking dataset. The trained model is used to imitate the interactions between two teams and predict the performance from each team. Then the trained Conditional VRNN Model is used as a benchmark to evaluate team performance. The experimental results on Premier League football dataset demonstrates the usefulness of our method to existing state-of-the-art static metric used in football analytics.