The Divinity Developer Explains Its Application of Machine Learning for Upcoming Divinity Game

The developer behind acclaimed role-playing games like Baldur's Gate 3 and Divinity: Original Sin has recently unveiled its next major project, generating significant hype within the player base. However, recent statements from the company's figurehead have introduced clarity to the discussion, focusing on the team's philosophy toward generative artificial intelligence.

AI as a Creative Assistant, Not a Substitute

In a latest statement, Larian's director explained that the developer is employing AI technology for specific supporting functions. These encompass developing presentation materials, creating early-stage artistic references, and writing draft dialogue.

Crucially, Vincke made clear that the final assets in the game will be authored solely by real artists. "We are creating all the content manually," he stated.

We are actively increasing our pool of storytellers and are currently assembling narrative groups.

Since this area is being explicitly called out — we presently have twenty-three visual developers and have job openings for additional creatives.

Each initiative we do is supplementary and aimed at letting our team spend greater focus on actual creation.

Every machine learning application implemented properly is a boost to a artist's workflow, not a substitute for their craft.

Addressing Concerns and Clarifying the Vision

The news of AI usage at first generated unease among some the fanbase. In reply, Vincke issued more detail on social media.

"At Larian, we employ AI tools to research ideas, just like we use the internet and physical media," he stated. "In the very early ideation stages we use it as a basic framework for composition which we then replace with hand-crafted illustrations."

He noted, "Our studio recruits creatives for their creative vision, not for their ability to follow what a algorithm proposes."

Focused Uses for Machine Learning

Vincke had earlier broken down the company's practical method to AI and ML, grouping its use into key areas:

  • Automation of Tedious Tasks: This includes polishing mocap data, voice editing, and Larian-specific work like retargeting animations.
  • Fast-Tracked Experimentation: Using technology to speedily create rough mock-ups of gameplay ideas to test concepts before complete production.
  • Future Potential for Gameplay: Researching how machine learning could one day facilitate innovative gameplay, particularly in creating unforeseen permutations in a detailed game universe.

He clearly affirmed that central narrative areas — such as music composition — are not departments where the company is cutting artistic input. Conversely, Larian is actively hiring in these very fields.

"Our studio is neither releasing a game with AI-generated content, nor planning on reducing creatives to swap them out with AI," Vincke stated definitively.

Eric Winters
Eric Winters

A seasoned gaming analyst with over a decade of experience in online casinos, focusing on strategy and fair play.