Larian Studios Explains Its Application of Machine Learning for Next Divinity Game

The developer behind popular RPGs like Baldur's Gate 3 and Divinity: Original Sin has recently shown its next major project, creating a wave of anticipation within the player base. However, subsequent remarks from the company's co-founder have added nuance to the discussion, focusing on the developer's stance toward machine learning.

AI as a Creative Assistant, Not a Substitute

In a latest message, Larian's director outlined that the team is utilizing machine learning for certain supporting purposes. These involve developing PowerPoint slides, generating early-stage concept art, and creating draft copy.

Crucially, Vincke emphasized that the shipping material in the game will be created entirely by human writers. "We are writing every line ourselves," he stated.

Our studio is constantly expanding our roster of concept artists and are busily assembling dedicated writer rooms.

Since concept art is being particularly called out — we currently have over twenty artistic staff and have positions available for more talent.

Everything we do is supplementary and aimed at enabling creatives to spend greater focus on the creative process.

Any AI system implemented properly is additive to a artist's routine, never a stand-in for their talent.

Responding to Feedback and Defining the Path

The revelation of employing this technology at first generated backlash among portions of the fanbase. In response, Vincke offered additional clarification on online platforms.

"We use these tools to gather inspiration, similar to we use search engines and physical media," he explained. "During the initial brainstorming phase we use it as a rough outline for structure which we then replace with hand-crafted concept art."

He noted, "We've hired creatives for their unique talent, not for their capacity to replicate what a machine suggests."

Three Pillars of Practical Application

Vincke had in the past broken down the team's focused approach to machine learning, categorizing its use into key areas:

• Handling Monotonous Jobs: Areas like polishing mocap data, audio processing, and Larian-specific work like retargeting animations.
• Accelerated Iteration: Using technology to speedily create rough versions of mechanics to test concepts prior to full development.
• Experimental Frontiers: Investigating how machine learning could eventually enhance emergent player agency, particularly in simulating player-driven narratives in a detailed game universe.

He clearly noted that key artistic domains — like music composition — are are absolutely not areas where the studio is cutting creative input. Conversely, Larian is actively hiring in these precise positions.

"Our studio is not shipping a game with AI-generated content, nor planning on reducing creatives to replace them with artificial intelligence," Vincke summarized.