A key reason for the lasting popularity of Game of Thrones is its boldness in taking chances with its characters and plotlines. Many other shows in the same genre avoid risks, making them less impactful. Game of Thrones demonstrated this willingness to take big chances early on, and it paid off with its most-watched episode ever.
I’ve definitely binged a few of these – sometimes in one go, or over a couple of evenings. They vary in length, from short series to shows with many seasons. But if you’re looking for something to relax with that will actually hold your attention – and not make you reach for your phone – certain thrillers are perfect.
With the next Avengers films on the horizon, there’s one team-up Marvel fans are really hoping to see. Despite some uncertainty, recent comments suggest a partnership between Thor and Storm is becoming increasingly likely, and Marvel Studios would be wise to consider it.
That tour felt like a perfect send-off for Chauncey at the end of the episode, but it was strange that the credits rolled then, not during Madison’s call to Venita about going into labor. It makes you wonder if they didn’t want to associate the second assistant director’s name with such a big moment. It all leads to a funny thought: could Madison’s baby be Chauncey reincarnated, similar to the idea that Trisha Paytas’s child is the reincarnation of Queen Elizabeth? Even if that’s not true, it really makes you think about life, death, and how people come and go – it’s all a bit like a never-ending reality show.
The difference between a truly impactful plot twist and a simple shock lies in how fully it’s embraced. Anime series like Made in Abyss and School-Live! don’t just hint at change—they fully commit to it, reshaping the entire story and allowing their characters to grow as a result. What starts as the initial idea eventually feels like a disguise for something much bigger. These twists can happen abruptly, or build slowly to a powerful climax, but they all leave audiences surprised and redefine what to expect from the show.
Tyler Hodge stars as Alex Cross in the Prime Video series. He told ScreenRant that, in his view, the detective and forensic psychologist is a hero, much like Hawkman in the DC Universe. Although Cross works in the real world of Washington DC, dealing with grounded crimes, Hodge thinks both characters share a common purpose: fighting villains and protecting people from those who would harm them.
Here are the tidings, perhaps spoken with a wry smile at a club where the tea is as ceremonial as the stock ticker.
David Thewlis, known for his role as Fagin in The Artful Dodger, recently told The Upcoming that he feels optimistic about a third season. He described the team as “quietly confident” and said things are progressing well, stating it’s “so far, so good.”
Jason Lively and Blake Baldoni recently attended a court-ordered meeting to explore a possible settlement in their legal dispute. Baldoni arrived with his wife, cheerfully posing for photographers. Lively appeared alone, dressed in a professional suit and appearing more somber. According to Variety, their lawyer, Bryan Freedman, stated that no settlement was reached during the meeting, though future negotiations are still possible. Baldoni’s legal team has also asked the judge to dismiss Lively’s claims, which could end the case altogether. However, if things remain as they are, the case is still on track for a trial in May. Freedman indicated they are prepared to proceed to trial, stating, “We’re looking forward to it.”
![A neural network variational Monte Carlo technique optimizes a representation of a quantum system’s ground state-defined by a first-principles Hamiltonian-through energy minimization, identifying magnetic order via total and staggered magnetization calculations; this approach, when applied to a moiré semiconductor model of WSe2/WS2 with 2828 electrons, reveals an itinerant ferromagnetic state characterized by spin density and visualized through spin polarization-quantified as [latex]\frac{\langle\hat{n}\_{\uparrow}\rangle-\langle\hat{n}\_{\downarrow}\rangle}{\langle\hat{n}\_{\uparrow}\rangle+\langle\hat{n}\_{\downarrow}\rangle}[/latex]-and total density.](https://arxiv.org/html/2602.09093v1/x1.png)
A new machine learning approach leverages first-principles calculations to accurately forecast magnetic properties, paving the way for the discovery of novel materials.