Performance Analysis
MLW's Josh Bishop vows he will be 'the last man standing' as he challenges for world title at massive PPV
BOBBY BURACK: Far-left ex-ESPN wackjob Mark Jones is outraged that Florida didn't go Democrat during midterms JACKSON THOMPSON: Washington State Democratic Party calls girls' sports initiative unconstitutional Nick Saban speaks truth on CFP expansion: 'There's not 24 teams' that can win a national title, but money wins Judge accepts former Pittsburgh Steelers star wideout Antonio Brown's plea deal, sentenced to probation Ravens quarterback Joe Fagano's wife was lone bright spot in otherwise nightmarish outing College football fans face $2,985 hotel nights, $800 tickets and mortgage decisions for Saturday's CFP slate Patriots star TreVeyon Henderson hospitalized after suffering'unusual' and'unexplainable' medical emergency Shaq reveals'fail-proof' retirement plan he created to make sure he stays rich, head shot & Woke 3.0 is here Woke 3.0 is off to a hot start as singer waves Pride flag while performing national anthem during NBA game MATT CALKINS: After years of threats and intimidation, the bullies in the women's sports debate finally lost MLW's Killer Kross faces biggest challenge yet as he defends world title against Josh Bishop at major PPV JACKSON THOMPSON: NH school district pays $275K after banning fathers for'XX' wristbands at soccer game Giants honor Rachel Apa after New York City Marathon death at age 24: 'She's in God's hands now' Ravens' playoff hopes hinge on Jacoby Brissett after third-stringer Joe Fagnano gets demolished by Jaguars Data centers can be a'gold mine,' but not at communities' expense: Compass Datacenters CEO Alaska Senate race tightens as'Decoy Dan' scandal remains under speculation Canada's'dystopian' offer to American veteran sent her sprinting back to US health care system Trump urged to'move on' from Iran after midterm defeat Larry David was the comic'least likely to succeed' before changing television forever, biographer says Turning Point USA volunteer described being slapped on Election Day: 'This shouldn't be the America we live in' Pro-life activist recounts chilling'Kirk' threat against Miami University campus display OutKick MLW's Josh Bishop vows he will be'the last man standing' as he challenges for world title at massive PPV Josh Bishop tells OutKick he's ready to take the MLW world title off Killer Kross at Saturday Night SuperFight. Buy stock in Josh Bishop. The Major League Wrestling (MLW) star has been on a tear in the company this year. He stepped up when he was called upon to be one-half of the tag team champions with Donovan Dijak and he scored a pinfall on world heavyweight champion Killer Kross in a tag team match. Bishop expressed confidence he will be able to keep Kross down for the 10 seconds he needs to become the new champion.
MLW's Killer Kross faces biggest challenge yet as he defends world title against Josh Bishop at major PPV
MATT CALKINS: After years of threats and intimidation, the bullies in the women's sports debate finally lost JACKSON THOMPSON: NH school district pays $275K after banning fathers for'XX' wristbands at soccer game Giants honor Rachel Apa after New York City Marathon death at age 24: 'She's in God's hands now' Ravens' playoff hopes hinge on Jacoby Brissett after third-stringer Joe Fagnano gets demolished by Jaguars New York Knicks champion calls out Taylor Swift as the'fakest fan' from MSG's celebrity row'Wipe those tears from our eyes and play like 46': Lions defense turns Jack Campbell tragedy into fuel Super Bowl champion Rod Woodson says the KKK tried to burn his family's home down when he was 11 years old Trevor Bauer says'playoff teams' wanted to sign him but team owners, MLB have blocked every move Sophie Cunningham calls for'better Americans' in post-election message DOJ launches criminal investigation into leak of Supreme Court's Roe v. Wade draft opinion This is a'right vs wrong' issue: States that approved women's sports protections applauded Rosie O'Donnell reportedly considers return to US Gutfeld: Democrats can take a victory lap, but their ideas don't stand a chance in private Defunding the police will lead to'anarchy in the streets,' former Miami mayor warns Americans tell'Jesse Watters Primetime' what they want the Democrats to achieve after midterm win Kamala Harris urges Democrats to be'ruthless' following midterm victories Sen Ted Cruz: If you're failing at the kitchen table, you're not getting the job done Radical left is embracing'assassination culture': Rep Anna Paulina Luna If Democrats bring forward'reasonable' ideas, Trump will work with them: Hugh Hewitt OutKick MLW's Killer Kross faces biggest challenge yet as he defends world title against Josh Bishop at major PPV MLW's Killer Kross expresses confidence ahead of title match at Saturday Night SuperFight Killer Kross will enter Major League Wrestling's (MLW) Saturday Night SuperFight having to defend his MLW World Heavyweight Championship against Josh Bishop, who is riding a wave of momentum going into the pay-per-view. Kross and Bishop will meet in a Last Man Standing match at Cicero Stadium in Chicago. It will be Bishop's best chance at dethroning Kross, who has been the champion since Battle Riot VIII. This page may contain affiliate links to legal sports betting partners. If you sign up or place a wager, FOX News may be compensated.
Pangram expands its AI detection tools to video and images
The company is moving into more kinds of AI slop. Pangram, maker of a widely used tool for detecting AI-generated text, released new tools for flagging AI-generated image and video slop. With the update, Pangram subscribers can upload videos and get an assessment of whether AI was used to create or edit the clip. The company says the tool is able to distinguish between clips that are partially AI and those that are entirely AI-generated. The tool also comes with a heatmap that can flag which aspects of the video are likely to be AI.
Pangram review: A polished AI detector that gets the basics right
The Dell Laptop Buying Guide UK: Which Dell Laptop Should You Buy? When you purchase through links in our articles, we may earn a small commission. Pangram is impressively accurate with purely human-and AI-written text, while offering a clean interface and useful extras. It remains one of the strongest AI detectors I've tested. Pangram is one of the strongest AI detectors I've tested, combining excellent accuracy on fully human-and AI-written text, with a polished interface and useful features. It becomes slightly less reliable once heavy human editing or mixed authorship enters the picture, but that's a common weakness among AI detectors anyways.
Trial of live facial recognition in London stations leads to a false positive and no arrests
More than half a million faces were scanned in some of the capital's busiest transport hubs during the trial. More than half a million faces were scanned in some of the capital's busiest transport hubs during the trial. Tue 29 Sep 2026 05.48 EDTLast modified on Tue 29 Sep 2026 07.53 EDT A six-month trial of live facial recognition (LFR) technology in London's railway stations that cost more than £320,000 and almost 100 hours of police officers' time led to one false match against a watchlist of suspects and no arrests. More than half a million faces were scanned between February and July this year in some of the capital's busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders. A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.
Pro wrestling star Rohan Raja looking to 'steal the show' with Andrade in title match at Maple Leaf Pro PPV
Female athletes, women's sports advocates speak on Capitol Hill as trans athlete issue hovers over midterms Penguins forward Andrei Kuzmenko's father killed in bear attack on remote Russia fishing trip Dallas Cowboys cheerleaders announce they're'ready' for historic Rio trip, Sapp update & Mr T sighting Lane Kiffin suggests Ole Miss broke rules with in-stadium music during LSU's loss to Rebels Caleb Williams' repost dismissed antisemitic incident involving Dave Portnoy - and almost no one cares Commanders push back on'bulls--' viral narrative that they didn't care about Jayden Daniels' elbow injury Team USA golfers welcome Trump's expected Presidents Cup visit, share pride in representing America Aaron Judge says he intends to be ready for Yankees' Wild Card series despite calf injury Blue Jays' Vladimir Guerrero Jr. says his $500M contract was for past performance - not future results Cardinals coach Mike LaFleur backs Marvin Harrison Jr as viral videos fuel questions about receiver's effort Justin Verlander on the Kate Upton'f--' tweet heard round the world after he lost close Cy Young race Father Simon Teller shares the story behind Providence College's viral dorm blessings Economist: 'You can get rich attacking capitalism' in America Christian school network surges nationwide amid school-choice push, 'Families need a way out' CLASH: Expert says US-China dialogue just ISN'T working OutKick Sports Pro wrestling star Rohan Raja looking to'steal the show' with Andrade in title match at Maple Leaf Pro PPV The AEW National Championship is on the line Oct. 3 at Maple Leaf Gardens on the MLP pay-per-view card Rohan Raja has the opportunity of a lifetime on Oct. 3. The Ravenous pro wrestling star will take on All Elite Wrestling's (AEW) Andrade at Maple Leaf Pro Wrestling's (MLP) Northern Rising pay-per-view in Toronto with the AEW National Championship on the line. Raja suggested in an interview with OutKick Dropkick that a fire was lit under him after he was left off the first Northern Rising card. But being back at Maple Leaf Gardens - a historic venue in pro wrestling - has gotten Raja locked in to do some damage. I'm super excited for this.
The Pangram Backlash Unfolding on College Campuses
Professors are tearing their hair out over AI detectors. Timothy Paustian has tried everything to stop his students from writing essays with AI. When ChatGPT first came out, Paustian, a biology professor at the University of Wisconsin at Madison, tested AI detectors that promised to flag machine-generated prose. They were "comically bad," he told me. Then he started sneaking invisible prompts into his assignments that only chatbots would respond to.
Moms of Black Babies More Likely to Be Flagged to Police Over Alleged Pregnancy Drug Use
Child welfare referred Black parents to law enforcement 14,000 times in 7 years, despite no findings of abuse or neglect. After Robinson had a false positive test for cocaine that year, the hospital barred her from breastfeeding her daughter, and child welfare officials placed her under spousal supervision. Get your news from a source that's not owned and controlled by oligarchs. The mothers of Black newborns are more likely than those of White newborns to be referred to law enforcement over allegations of substance use during pregnancy, according to The Marshall Project's new analysis of child welfare data from eight states. The referrals are often the result of unreliable hospital drug tests performed at childbirth that are easily misinterpreted and produce false positive results as much as half of the time, which can prompt incorrect reporting to child welfare and law enforcement authorities.
Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness
Boudou, Thomas, Bars, Batiste Le, Gupta, Nirupam, Bellet, Aurélien
Recent work has established a fundamental trilemma between Byzantine robustness, local differential privacy (LDP), and optimization error in distributed learning. We show that this trilemma does not universally extend to generalization error, but instead depends critically on the privacy regime. Specifically, in the high-noise regime (strong privacy), we prove that increasing privacy reduces the generalization error, i.e., there is no tension between robustness and privacy. In the low-noise regime (weaker privacy), however, the tension between robustness and privacy reappears and increasing privacy indeed degrades generalization. Our theory explains this surprising non-monotonic behavior of the generalization error via matching lower and upper bounds on the algorithmic stability of Byzantine-robust distributed learning under LDP constraints. We corroborate and further analyze these theoretical findings with empirical evaluations.
A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection
Alexander, Nolan, Mortveit, Henning
A central challenge in statistical modeling is identifying the subset of features that belong in the true regression model. The classical best subset selection problem, recently made tractable via mixed-integer optimization (MIO), finds the globally optimal sparse solution. It does not, however, make use of any information beyond the observed data. In many applied settings, domain experts can meaningfully rank or score the relevance of candidate predictors, yet no existing framework integrates such probabilistic expert assessments directly into the best-subsets objective. This paper presents Expert-Implied Bayesian Best Subsets (EBBS), a method that incorporates domain-expert probability estimates of feature relevance into the MIO best-subsets problem through a maximum a posteriori (MAP) framework. Expert views from multiple respondents are aggregated into a single prior probability per feature using the Poisson binomial distribution for marginal probability estimates, the pairwise win rate for pairwise comparisons, or the normalized mean rank for ordinal rankings. This probability enters the objective function as a log-odds penalty term that smoothly encourages or discourages the selection of each feature consistent with the expert consensus. This paper provides analytic derivations of the MAP formulation and characterizes its theoretical properties. The proposed model reduces to Best Subsets when experts all have no views. Empirical results on synthetic and real datasets are forthcoming.