Things get weird when a neural net is trained on text adventure games


The answer is pretty weird. Shane aptly describes the experience as “dreamlike,” with the setting frequently, and seemingly without reason, changing from scene to scene. For example, in one playthrough, the AI opened the game with a scene set in space only then to quickly transition things to a “labyrinth of twisty little passages, all alike.” If there’s a throughline to many of the scenarios, it’s Zork, one of the games used to train the neural net and a classic in the genre. The AI will frequently call on the 40-year-old game to react to the player, more often than not presenting trolls as an obstacle to progress. See below:

The troll steps out from beneath the bridge and blocks your way.
You are on the south side of the chasm.
A nod is given to the infinite wonder that is Urbzig.
A solid rainbow spans the chasm.

Another quirk of the game is that it doesn’t flow like a traditional narrative: there’s no beginning, middle and end to each scenario. Instead, each session is an endless marathon, with more trolls than bridges. And yet what’s remarkable about each scene is how they nail the tone of classic PC adventure games. There’s something about how the AI jumps from scenario to scenario that captures the atmosphere of those games. If you want to embark on your own AI-generated fever dream, you can do so by visiting the Google Colab document Nathan created. Just be prepared for a DOS-like experience. It’s part of the appeal.

Source link

Please follow and like us:


Please enter your comment!
Please enter your name here