PlayerUnknown Productions has introduced that an open beta for Prologue: Go Wayback is now accessible on Steam and the Epic Games Store. A Rust-inspired survival recreation, Prologue: Go Wayback combines hardcore roguelike survival gameplay with a dynamic climate system and machine-learning fashions to create a singular expertise for each participant. The subsequent recreation from PUBG creator Brendan “PlayerUnknown” Greene, the open beta will run till the launch of the sport’s early entry interval on PC.
“After operating playtests with our Discord neighborhood during the last six months–and receiving some unbelievable feedback–we determined to take the time so as to add extra methods to discover our generated worlds based mostly on our neighborhood’s strategies,” PlayerUnknown Productions mentioned in a press launch. “We now have an important survival expertise, with hundreds of thousands of maps for gamers to discover within the open beta, and over the approaching months main as much as our Early Entry launch, we plan so as to add extra options to additional customise your most popular approach to play.”
Gamers could have a 64km² map based mostly on the Czech Bohemia area to discover, with the world being rendered with ML fashions in Unreal Engine 5 after which populated procedurally with customized property reminiscent of timber, rivers, rocks, cliffs, hills, and shelters. PlayerUnknown Productions added that this ML mannequin is skilled on publicly accessible open-source knowledge and vetted to forestall the usage of any copyrighted materials.
One of many different components that units Prologue: Go Wayback other than different survival video games is an emphasis on physique temperature, as gamers should handle their inner warmth by discovering higher garments and by constructing fires to remain heat as they seek for the fabled Climate Tower. Prologue: Go Wayback additionally serves as the inspiration for Undertaking Artemis, one thing that PlayerUnknown Productions refers to as a platform that may allow “massive-scale creation” for future tasks.