A Long Survive's PlayStation VR2 & PC VR Ports Are Delayed Again
A Long Survive's PlayStation VR2 and PC VR ports have been delayed again, due to crossplay issues this time without an expected release date.
Condensed by AI-Portable from Editorial queue.
Friendly Fire Studios announced another delay for its PS VR2 and SteamVR ports of its co-op horde shooter A Long Survive. This is the second delay in less than a month.
The ports were originally scheduled to release last month on April 30 before Friendly Fire announced a two week delay to May 14.
The following is a quote from Friendly Fire's statement:
The statement goes on to say that the entire team is working to resolve the issue, but there is no estimated time on when that will happen. As a result, Friendly Fire is not announcing a new release date until the problem is fixed. At that point, a new date will be announced with a short turnaround time between the announcement and actual release.
A Long Survive can be wishlisted on PS VR2 and Steam . It is available now on Quest .
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.