Enshrouded is a beautiful combination of Minecraft, Skyrim and resource gathering that makes it at least three games in one. My daughter told me I would love it and I ignored her for too long. I've tackled Elden Ring, but much prefer the often gentler combat of Enshrouded. It sometimes makes me feel like an elite fighter, then other times kicks my arse in precisely the right measures. Its real joy is the flexibility to spend your time doing whatever tickles your fancy. I'll spend a few hours growing crops to make a cake or smelting metals for better armour, then knock off a few quests to unlock new materials and weapons.

Harrison Ford isn't impressed by or afraid of artificial intelligence. In a recent interview with The Wall Street Journal, the "Captain America: Brave New World" star was asked if he was planning on securing control of his likeness from studios, and he brushed off the concern. "You don't need artificial intelligence to steal my soul. You can already do it for nickels and dimes with good ideas and talent," he told the outlet. Ford was referring to the 2024 video game "Indiana Jones and the Great Circle," with actor Troy Baker, who provided the voice and motion-capture performance for the character.

For months now I have been in the thrall of Pokémon Trading Card Pocket. It's a devilishly slick blend of card-collecting and pared-down battling that has had me obediently opening the app on my phone at least twice a day since it launched. The virtual cards are beautifully done; the rare art cards especially, with their pastoral scenes of Pokémon in their natural habitats. I have spent many hours on the battles, too, honing decks and chasing win streaks to earn myself victory emblems. I got most of my friends into it, anticipating the day when its makers at DeNa would finally enable trading so I could fill the last couple of holes in my collection.

This paper introduces Indiana Jones, an innovative approach to jailbreaking Large Language Models (LLMs) by leveraging inter-model dialogues and keyword-driven prompts. Through orchestrating interactions among three specialised LLMs, the method achieves near-perfect success rates in bypassing content safeguards in both white-box and black-box LLMs. The research exposes systemic vulnerabilities within contemporary models, particularly their susceptibility to producing harmful or unethical outputs when guided by ostensibly innocuous prompts framed in historical or contextual contexts. Experimental evaluations highlight the efficacy and adaptability of Indiana Jones, demonstrating its superiority over existing jailbreak methods. These findings emphasise the urgent need for enhanced ethical safeguards and robust security measures in the development of LLMs. Moreover, this work provides a critical foundation for future studies aimed at fortifying LLMs against adversarial exploitation while preserving their utility and flexibility.

If you've ever become "stuck" in a game, the new Microsoft Edge Game Assist for Windows offers a pretty convenient way to help yourself out: Simply look up a hint while playing. Microsoft debuted this new system as a beta during the holidays last year. Now, it's part of Microsoft Edge itself, provided that you have the current version, Edge 132 or higher. For those of you who want a "pure" gaming experience, don't worry. Edge Game Assist doesn't just launch itself, and it actually seems rather helpful when you invoke it.

You've seen the Game awards nominations. Our own Guardian games of the year list is still a wee while away, but while you're waiting – with bated breath, I'm sure – here's an appetiser: Pushing Buttons' alternative awards. Need to recover your hearts while adventuring through a bunch of eerie rifts that are tearing Hyrule apart? Simply conjure a bed out of thin air, make sure you're out of enemy reach and have a wee nap. Need to make your way across a bridgeable gap?

Google DeepMind has just revealed Genie 2, a world-modelling AI capable of creating 3D worlds and sustaining those environments for significantly longer. It's a diffusion model that generates images as the player (either a human being or another AI agent) moves through the world the software is simulating. All it needs to start is a single image prompt either generated by AI or from a real-world photo. There are limitations: DeepMind says the model can generate "consistent" worlds for up to 60 seconds, with the majority of the examples the company shared on Wednesday running for significantly less time -- most videos are between 10 to 20 seconds long. Image quality also softens and comes undone the longer Genie 2 needs to maintain the illusion of a consistent world.

It's the spring of 1977, and George Lucas is petrified. Having just wrapped work on his third feature film, Star Wars, he retreats to Hawaii, unable to face the early reviews. Yet as he frets in a five-star resort, Lucas bumps into another Hollywood hideaway – Steven Spielberg. The hero's moniker certainly benefited from some finessing, and the action-packed Raiders of the Lost Ark (1981) raked in 354m at the box office. Yet as great as Indy's influence was on cinema, it might have had an even bigger one on video games.

Today is the opening day of Gamescom, the Cologne expo that is now the biggest event in the video game calendar. This year, I am not among the 300,000-odd crowd descending on Germany, but I did watch the two-hour livestreamed opening-night broadcast yesterday – so you don't have to. Here is all of the most interesting news, arranged by theme because I am deeply bored of writing straightforward lists of games and trailers. News that will annoy Xbox fanboys the most There was a new trailer for Indiana Jones and the Great Circle, Bethesda and MachineGames's new first-person adventure, in which longtime video game actor Troy Baker seems charmingly thrilled to be playing Indiana Jones. It'll be out on Xbox and PC on 9 December – but it was also announced that it will be coming to PlayStation 5 in spring 2025.

Zero-shot entity linking (EL) aims at aligning entity mentions to unseen entities to challenge the generalization ability. Previous methods largely focus on the candidate retrieval stage and ignore the essential candidate ranking stage, which disambiguates among entities and makes the final linking prediction. In this paper, we propose a read-and-select (ReS) framework by modeling the main components of entity disambiguation, i.e., mention-entity matching and cross-entity comparison. First, for each candidate, the reading module leverages mention context to output mention-aware entity representations, enabling mention-entity matching. Then, in the selecting module, we frame the choice of candidates as a sequence labeling problem, and all candidate representations are fused together to enable cross-entity comparison. Our method achieves the state-of-the-art performance on the established zero-shot EL dataset ZESHEL with a 2.55% micro-average accuracy gain, with no need for laborious multi-phase pre-training used in most of the previous work, showing the effectiveness of both mention-entity and cross-entity interaction.