President Trump on $1,000 World Cup ticket prices: 'I wouldn't pay it either, to be honest' Pirates vs. Diamondbacks betting preview targets the under as both offenses go cold in series Former LSU coach Brian Kelly uses AI to prepare for job interviews, proving he's just like the rest of us Newsom office source responds to planned protest against trans athlete at state playoff girls' track meet Framber Valdez gets what he deserves for punk move, suspended six games after drilling Boston's Trevor Story MLB's new automated strike zone has a hidden feature helping umpires become more accurate than ever'This can touch anyone': Gorman family speaks following loss of Sheridan'Project Freedom' could soon resume: Report Iranian people are not citizens, but'subjects' of the regime: Middle East expert Vice Admiral Robert Harward weighs in on restarting'Project Freedom' in Strait of Hormuz Largest teachers' union accused of antisemitism in federal civil rights complaint McEnany's URGENT plea: 'Be Spencer Pratt!' WHO doesn't expect large Hantavirus outbreak US blockade keeps stranglehold on Iran's economy The Panthers star told Pat McAfee the U.S. is heading to Switzerland to win, not for a vacation If anyone thought Team USA was satisfied with Olympic gold and ready to coast through the rest of the international hockey calendar, Matthew Tkachuk has a message. The Florida Panthers star joined The Pat McAfee Show on Thursday and discussed his plan to play for Team USA at the 2026 IIHF World Championship in Switzerland. USA Hockey's preliminary roster, announced May 7, includes Tkachuk for the first time, since the Panthers failed to reach the NHL playoffs this season. The tournament begins May 15 in Zurich and Fribourg, and the Americans are trying to win back-to-back gold medals at the event for the first time ever. Tkachuk made his mindset pretty clear.

'The odds of finding something like this are minimal.' More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Heavy wear suggests the scabbard's original sword wasn't ceremonial, but frequently wielded. Breakthroughs, discoveries, and DIY tips sent six days a week. A hiker who paused to examine an old, uprooted tree found something much rarer than roots during a recent walk in the hills of Norway.

Doctor's awful mistake led to five days of agony, amputation and eventual death for promising young high school graduate, 18, $100m lawsuit alleges I was so fat I needed two plane seats. Then I lost 208lbs and kept it off for 10 YEARS using'nature's Ozempic' supplement. It was so effortlessly effective... and I could even still eat chocolate! I've discovered the perfect'type' of man that'll drive any woman crazy. The sex is so good, it's ruined every other guy for me: JANA HOCKING Leaked CIA Iran war dossier shreds Trump's boasts... as chilling intel reveals vast missile arsenal Young family were beaming picture of happiness... then affair scandal erupted and three of them were found dead Apple to pay iPhone owners $250 million settlement over claims of false advertising... see if you qualify Why this photo of Princess Charlotte has left Harry'very sad': Friends tell RICHARD EDEN all about his plan for Archie and Lili... and why Meghan has become a'challenge' Panic over SIX Americans who returned to US from deadly rat virus ship... as health officials scramble to find infected all over the world Trump's bombshell private admission sends grim warning to Netanyahu as Israel braces for reckoning Deeply personal reason Aaron Rodgers may have to suddenly retire from NFL... and forgo $15 million for mystery wife Blake Lively and Justin Baldoni's battle continues as she demands he pay legal fees for his failed defamation lawsuit days after their shock settlement Billionaire, 70, settles bitter yearslong divorce with ex-wife after shacking up with new fiancée who's almost half his age I survived hantavirus that's spreading on the cruise ship.

Powered by Gemini and designed around simplicity, the new Fitbit Air could be a compelling fitness tracker alternative to Whoop. Five years after acquiring Fitbit, and three years since it released the Charge 6, Google is finally expanding into a new phase of fitness tracking . With its screen-free design, the new Fitbit Air could be the first device to threaten Whoop's grip on this category, thanks in large part to Google's intuitive, user-friendly software. The Fitbit Air is Google's most minimalist wearable yet. There's no AMOLED display, no haptic side button, and none of the visual feedback loops that have defined Fitbit devices (and most fitness trackers) for years.

Film-maker James Cameron and Disney are being sued by an actress who has accused the director of using her likeness as the basis for one of the lead characters in his hit film series Avatar. German-born US actress Q'orianka Kilcher, who is of indigenous Peruvian descent, alleged that in 2005 - when she was 14 - Cameron extracted her facial features from a photograph of her portraying Pocahontas in another film, The New World. In court documents filed on Tuesday in California, her team claimed Cameron directed his design team to use it as the foundation for the character of Neytiri, depicted on screen by Zoe Saldaña. BBC News has contacted Cameron and Disney for a comment. The Avatar movies contain a hybrid of live-action performance mixed with computer-generated characters.

When Stick Figure's six-year-old song shot up the charts, the band was thrilled. But its viral moment was spurred by unauthorized AI remixes. The California-based reggae band Stick Figure has been around for 20 years, eight albums, and countless hours on the road, but lead vocalist and guitarist Scott Woodruff has never seen a track take off like "Angels Above Me" did this past week. The six-year-old song hit number one on the iTunes sales charts in six different countries, including the United Kingdom, Austria, and Canada, skyrocketing "out of nowhere," according to Woodruff. Stick Figure has had plenty of thrilling milestones before, with albums repeatedly hitting number one in the reggae category, and hit singles amassing hundreds of millions of streams.

Cybersecurity experts said the research was interesting, though not alarming at this stage. Cybersecurity experts said the research was interesting, though not alarming at this stage. 'No one has done this in the wild': study observes AI replicate itself It's the stuff of science fiction cinema, or particularly breathless AI company blogposts: new research finds recent AI systems can independently copy themselves on to other computers. In the doom scenario, this means that when the superintelligent AI goes rogue, it will escape shutdown by seeding itself across the world wide web, lurking outside the reach of frantic IT professionals and continuing to plot world domination or paving over the world with solar panels . "We're rapidly approaching the point where no one would be able to shut down a rogue AI, because it would be able to self-exfiltrate its weights and copy itself to thousands of computers around the world," said Jeffrey Ladish, the director of Palisade research, a Berkeley-based organisation which did the study.

Jeffrey Epstein scrawled suicide note finally released: 'No fun. Surprising fate of CNN founder Ted Turner's multibillion-dollar fortune after thrice-married father-of-five died aged 87 Wall Street Titan lays out his ultimate revenge for woke NYC mayor Mamdani's'creepy weird' video Mike Vrabel'rented a boat with pregnant Dianna Russini in 2021' months before she welcomed first son Ultimate Spirit Airlines compensation guide: 'Magic words' to tell your bank for BIGGEST refund... what to do if you DIDN'T use a credit card... how to reclaim higher cost of new flights.... and'rescue' option when all else fails Once-bustling Nevada vacation resort becomes America's newest GHOST TOWN as its final hotel closes Farrah Fawcett's twisted family secrets: Siblings of her devil-horned son accused of hideous knife spree reveal dark childhood home truths Tragic Saved By The Bell star Dustin Diamond's residual pay revealed after his shock death at age 44 Rat virus'was brought onto cruise ship by birdwatcher couple who visited garbage dump to snap birds before setting off': Possible cause revealed - as Brits face eight-week quarantine Scandal as female World Cup soccer player is accused by police of raping baby-faced boy, 14, up to'three times a week' Triple Crown thrown into disarray with major announcement from Kentucky Derby winner Golden Tempo's trainer The photos that say it all! Justin Baldoni beams as he steps out with his wife for the first time since Blake Lively's humiliating lawsuit settlement The next generation of Ozempic is here. Turbo shots deliver 250% more weight loss... at record speeds. Patients are begging for them - but there's a major warning: DR SHEILA NAZARIAN Meghan Markle shares unseen photo of Prince Archie asleep on Harry's chest as a baby to celebrate his 7th birthday I sat with FedEx child killer Tanner Horner for weeks.

Many machine learning problems involve data supported on curved spaces such as spheres, rotation groups, hyperbolic spaces, and general Riemannian manifolds, where Euclidean geometry can distort distances, averages, and the resulting optimal transport (OT) problem. Existing manifold OT methods have pursued amortized out-of-sample maps, while entropic regularization has made discrete OT more scalable, but these advantages have remained largely disjoint. We propose Entropic Riemannian Neural Optimal Transport (Entropic RNOT), a unified framework that combines intrinsic entropic OT with amortized out-of-sample evaluation on Riemannian manifolds. Our method learns a single target-side Schrödinger potential through a neural pullback parameterization, recovers the induced Gibbs coupling, and uses the resulting conditional laws to construct intrinsic transport surrogates. These include barycentric projections on Cartan-Hadamard manifolds and heat-smoothed conditional surrogates on stochastically complete manifolds, the latter turning possibly atomic target laws into absolutely continuous ones. For fixed regularization $\varepsilon>0$, we prove that the proposed hypothesis class recovers the entropic optimal coupling in strong probabilistic metrics. As consequences, barycentric surrogates converge in $L^2$, while heat-smoothed surrogates are stable at fixed heat time and asymptotically unbiased as the heat time vanishes. The guarantees hold for compactly supported data on possibly noncompact manifolds. Empirically, our method matches or improves over Euclidean, tangent-space, and log-Euclidean baselines on benchmarks over $\mathbb{S}^2$, $\mathrm{SO}(3)$, $\mathrm{SPD}(3)$, $\mathrm{SE}(3)$, and $\mathbb{H}^2$, scales favorably relative to discrete manifold Sinkhorn, and in a protein-ligand docking application, refines poses on $\mathrm{SE}(3)$ without retraining or per-instance optimization.

Reinforcement learning from human feedback (RLHF) typically assumes a static or non-strategic reward model (RM). In iterative deployment, however, the policy generates the data on which the RM is retrained, creating a feedback loop. Building on the Stackelberg game formulation of this interaction, we derive an analytical decomposition of the policy's true optimization gradient into a standard policy gradient and a parameter-steering term that captures the policy's influence on the RM's future parameters. We show that standard iterative RLHF, which drops this steering term entirely, suffers from alignment collapse: the policy systematically exploits the RM's blind spots, producing low-quality, high-reward outputs whose feedback reinforces the very errors it exploits. To mitigate this, we propose foresighted policy optimization (FPO), a mechanism-design intervention that restores the missing steering term by regularizing the policy's parameter-steering effect on RM updates. We instantiate FPO via a scalable first-order approximation and demonstrate that it prevents alignment collapse on both controlled environments and an LLM alignment pipeline using Llama-3.2-1B.