The Creators of Baldur's Gate 3 Details Its Application of Machine Learning for New Divinity
The developer behind hit role-playing games like Baldur's Gate 3 and Divinity: Original Sin just teased its new project, sparking a wave of anticipation within the player base. However, subsequent statements from the studio's co-founder have introduced clarity to the narrative, addressing the developer's approach toward generative artificial intelligence.
A Tool for Ideation, Not Replacement
In a recent statement, Swen Vincke explained that the company is using AI technology for certain preliminary purposes. These encompass enhancing PowerPoint slides, producing initial artistic references, and drafting draft dialogue.
Importantly, Vincke emphasized that the shipping assets in the game will be authored exclusively by actual artists. "We are creating all the content in-house," he said.
Larian is constantly expanding our team of storytellers and are currently putting together narrative groups.
Given that concept art is being particularly called out — we right now have 23 artistic staff and have positions available for more creatives.
Each initiative we do is supplementary and focused on letting our team spend more time on actual creation.
Every ML tool applied correctly is a boost to a creative team workflow, not a substitute for their skill.
Addressing Concerns and Clarifying the Vision
The news of employing this technology originally provoked unease among portions of the fanbase. In reaction, Vincke issued additional detail on online platforms.
"Our team utilizes machine learning to explore references, in the same way we use the internet and art books," he stated. "In the initial brainstorming phase we use it as a rough outline for composition which we then substitute with authentic artwork."
He added, "Our studio recruits talent for their unique talent, not for their ability to replicate what a AI generates."
Key Areas of AI Integration
Vincke had in the past broken down the team's practical method to this technology, defining its use into three main functions:
- Streamlining Repetitive Work: This encompasses refining animations, audio processing, and technical processes like adapting animations for different models.
- Fast-Tracked Experimentation: Using technology to quickly build rough models of mechanics to validate concepts prior to expensive implementation.
- Future Potential for Gameplay: Investigating how machine learning could one day facilitate emergent gameplay, especially in simulating player-driven narratives in a vast role-playing world.
He specifically stated that key artistic areas — like visual art — are are absolutely not fields where the company is replacing creative involvement. On the contrary, Larian is recruiting more in these exact roles.
"Our studio is not shipping a game with AI-generated content, nor planning on reducing teams to replace them with AI," Vincke concluded.
