Among Giants Review: An Ambitious VR Epic That Refuses To Compromise
Among Giants is difficult, opaque, occasionally frustrating, and one of the best, most atmospheric, and most immersive VR games in years.
Condensed by AI-Portable from Editorial queue.
More than two decades ago, Shadow of the Colossus arrived on the PlayStation 2 and set a standard for sophisticated, immersive storytelling that still feels wholly unique today. Very few games since have been able to replicate the sense of scale and mystery that made Fumito Ueda and Team Ico’s masterpiece so unforgettable. Among Giants comes remarkably close.
It also understands something many modern games studiously ignore: that mystery works best when players are allowed to feel lost. Among Giants is difficult, opaque, occasionally frustrating and sometimes mechanically abrasive. It is also one of the best, most atmospheric, and most immersive VR games I’ve played in years.
Gameplay captured by UploadVR on Meta Quest 3S
From its opening moments, Among Giants drops you unguided into a strange and wondrous world. You awaken in a forest clearing beside the wreckage of a smoldering ship, its hollow hull split and splayed like a cracked egg. Nearby, an inscrutable alphabet flickers on derelict tech, ancient gateways hint at a lost civilization. Now, you must explore the world, discover its secrets, and survive by any means necessary.
While this premise may not be unique in the truest sense of the word (the previously mentioned Shadow of the Colossus [2005] and Another World [1991] are just two examples of games that blazed a similar trail many years ago), in the context of modern gaming, Among Giants is a rare thing indeed.
The portable AI angle here is not just that Editorial queue published a new item. It is that this material changes how readers should think about portable ai systems in practical terms: what shifts on-device, what still depends on platform or cloud layers, and what kind of user workflow becomes more or less realistic as a result.
From an editorial standpoint, the most useful question is whether this review candidate produces a real behavioral or product constraint change. If the answer is yes, it belongs in AI-Portable because it tells us something about interface friction, local capability, deployment readiness, or the specific work conditions where portable AI may actually land first.
This matters because it touches portable ai through a review candidate signal, which affects real device-side constraints, deployment timing, or product readiness.
Even when the source is directionally useful, the editorial job is to separate confirmed facts from launch framing. Availability, sustained usage evidence, implementation complexity, privacy implications, and integration cost often determine whether a portable AI signal is operationally meaningful or just momentarily interesting.