Everyone makes mistakes in D&D, both players and Dungeon Masters. While many errors during gameplay are easy to fix, mistakes made when creating characters can be much more difficult to resolve later on. Often, DM errors aren’t about understanding the rules themselves, but about understanding what the players are trying to do.
Think of Vile as Taylor Sheridan’s take on a suspenseful trap movie. The film centers around ten people who are kidnapped and locked in a room, where they have 22 hours to escape. To win their freedom, they must withstand intense pain. As time runs out, the situation becomes increasingly tense and the captives grow more desperate. Eventually, the film reveals who is behind the ordeal and why. While the cast is largely made up of up-and-coming actors, it also features some familiar faces, including Greg Cipes (known from Teen Titans) and Ian Bohen, who plays Ryan on Yellowstone.
![The framework employs a differentiable graph neural network simulator to solve inverse problems in granular flows, iteratively refining parameters [latex]\boldsymbol{\theta}[/latex] through gradient-based optimization-starting from an initial state [latex]\hat{\mathbf{X}}\_{0}(\boldsymbol{\theta})[/latex]-until the simulated granular flow state at time [latex]t[/latex], [latex]\hat{\mathbf{X}}\_{t}(\boldsymbol{\theta})[/latex], converges with observed states [latex]X\_{t}^{\text{obs}}[/latex].](https://arxiv.org/html/2602.11621v1/figs/diff_gns.png)
Researchers have developed a computationally efficient framework using graph neural networks to predict post-liquefaction strength and simulate landslide runout.
2001: A Space Odyssey remains a hugely influential and important film. It’s often debated which of Stanley Kubrick’s movies is his best, but 2001 consistently stands out as having had the biggest impact on viewers, critics, and the future of filmmaking.
Letterboxd’s movie rankings differ from those on sites like Metacritic and Rotten Tomatoes because they’re based on opinions from all film fans, not just professional critics. Anyone can join Letterboxd, write reviews, and rate movies they’ve seen.
It’s always surprising and enjoyable to see actors play against type. For example, Elijah Wood, best known as the kind-hearted Frodo Baggins, was fantastic as a terrifying cannibal in Sin City. Similarly, Tom Cruise, usually a classic action star, hilariously portrayed a sleazy and insecure studio executive in Tropic Thunder. And Jason Statham cleverly turned his tough-guy image on its head for comedic effect in Spy.
Predictive science fiction is often inaccurate, making it remarkable that a film from 1927, Fritz Lang’s Metropolis, correctly anticipated certain realities of 2026. When it was first released, the film presented a bleak future with ideas that seemed unbelievable. However, nearly a century later, the movie’s surprisingly accurate predictions suggest it was a more insightful vision of the future than many people thought.
Mystery Science Theater 3000 (MST3K) has a simple premise: a host is made to watch bad movies and provides humorous commentary, aided by two robot sidekicks. The show’s format has remained largely consistent over the years, building a dedicated following. A revival was announced in February, and information about it is now widely available online.
Even after eight years, players are still trying to find and tame the Silver Dapple Pinto Missouri Foxtrotter, a famously rare and difficult horse to catch in the game. Many players consider it a huge achievement to get one early on, and various techniques have been shared online (like on Reddit) to help with the process.
The 2021 film The Green Knight is an adaptation of the medieval poem Sir Gawain and the Green Knight, whose author remains unknown. You can currently rent it on Apple TV and Prime Video, and it will be available to stream on Netflix soon.