At their core, games are like miniature worlds. Projects like Minecraft and Roblox already use this language to describe the experiences their players are creating.
Over the past five years, our team has developed a unique perspective on how virtual technology changes the way people enjoy entertainment and do business.
We have been hands-on in every area of virtual and physical production, from 3D layouts and rendering to developing core video and audio infrastructure for use in 3D environments.
At one point, all of these areas depended on large teams, but now a single creator can better optimize and make high-quality game content faster.
Being deeply involved in the digital technology around live events has provided us with a unique perspective on the possibilities for virtual worlds, even beyond games. We’ve spent the last two years iterating on our technology, driving thousands of users through our experiences with mainstream brands.
The technology around virtual worlds is evolving rapidly, and we’ve focused on bridging industry level tools like Unreal Engine 5 to enable high quality assets to be brought to our creator community. We have also focused on enabling cloud-based streaming in Passage, so creators and users can access worlds from any device.
AI is already having a significant impact on game production, and there are several key areas it stands to significantly impact our platform.
Content Creation: Already, we’re seeing AI being used to create written and visual content such as game assets, game levels, landscapes, and other in-game content. Many of these solutions aren't fully automated yet and rely on human QA, but we'll soon see creators using these tools to produce large volumes of assets.
Content Moderation: It is a painstaking process to moderate online communities, but AI can quickly identify and flag inappropriate or offensive content automatically. This can help small teams of creators ensure that their content is suitable for their intended audience.
Personalization: AI is being used to personalize content and recommendations for individuals, which can help creators better target their content and increase engagement.
Testing: Game testing is incredibly time consuming and takes large teams to ensure a game is delivered with minimal bugs. AI projects like modl.ai use an army of AI bots to rapidly play through games to identify bugs and other issues. This can help smaller creators find and fix problems quickly and efficiently.
Player Modeling: Finally, AI is being used to analyze player behavior and preferences, which can help game creators make more personalized and enjoyable experiences in their games.
