The Creators of Baldur's Gate 3 Clarifies Its Use of Machine Learning for Next Divinity Game
The developer behind popular role-playing games like Baldur's Gate 3 and Divinity: Original Sin has recently shown its next major project, generating a wave of hype within the industry. However, subsequent statements from the company's lead designer have added nuance to the discussion, touching on the team's philosophy toward generative artificial intelligence.
AI as a Creative Assistant, Not a Substitute
In a latest statement, the studio's founder detailed that the company is utilizing machine learning for specific preliminary purposes. These involve enhancing presentation materials, generating early-stage concept art, and drafting temporary dialogue.
Crucially, Vincke made clear that the shipping material in the game will be crafted solely by human artists. "Larian is developing every line ourselves," he stated.
We are constantly increasing our pool of concept artists and are busily forming narrative groups.
Since this area is being explicitly referenced — we currently have twenty-three concept artists and have job openings for further talent.
Everything we do is supplementary and focused on having people spend greater focus on the creative process.
Every machine learning application implemented properly is supplementary to a developer's process, not a replacement for their skill.
Addressing Concerns and Clarifying the Vision
The admission of employing this technology initially provoked backlash among a segment of the fanbase. In response, Vincke provided additional clarification on social media.
"Our team utilizes machine learning to research ideas, similar to we use search engines and art books," he explained. "In the initial planning process we use it as a simple sketch for structure which we then replace with authentic illustrations."
He noted, "Our studio recruits creatives for their unique talent, not for their ability to replicate what a algorithm proposes."
Key Areas of AI Integration
Vincke had previously broken down the studio's practical strategy to machine learning, grouping its use into three main areas:
- Streamlining Repetitive Work: This encompasses refining animations, audio processing, and pipeline-specific tasks like adapting animations for different models.
- Fast-Tracked Experimentation: Using technology to quickly build basic versions of scenarios to validate concepts ahead of expensive implementation.
- Experimental Frontiers: Investigating how AI could in the future create innovative gameplay, specifically in managing dynamic reactions in a vast role-playing world.
He explicitly stated that key artistic areas — like visual art — are are in no way areas where the company is replacing human input. Conversely, Larian is expanding its staff in these very roles.
"We are neither shipping a game with AI-generated content, and we are certainly not planning on cutting staff to swap them out with artificial intelligence," Vincke concluded.
