The Divinity Developer Details Its Use of Machine Learning for Upcoming Divinity

The team behind acclaimed role-playing games like Baldur's Gate 3 and Divinity: Original Sin recently shown its upcoming project, generating immense hype within the industry. However, follow-up statements from the studio's lead designer have introduced clarity to the narrative, addressing the team's stance toward machine learning.

Augmenting Workflows, Not Cutting Jobs

In a recent message, Swen Vincke outlined that the developer is utilizing AI technology for specific supporting functions. These involve fleshing out presentation materials, creating initial artistic references, and creating draft text.

Crucially, Vincke emphasized that the end material in the game will be crafted exclusively by real artists. "Our team is creating every line ourselves," he stated.

We are actively growing our roster of writers and are currently forming narrative groups.

Given that visual development is being specifically mentioned — we right now have 23 artistic staff and have job openings for more creatives.

Everything we do is additive and designed to having people spend additional energy on the creative process.

Any AI system applied correctly is a boost to a creative team routine, never a stand-in for their talent.

Addressing Concerns and Clarifying the Vision

The news of using AI at first provoked unease among portions of the fanbase. In reaction, Vincke provided further detail on online platforms.

"We use these tools to research ideas, in the same way we use the internet and physical media," he stated. "In the very early brainstorming phase we use it as a simple sketch for structure which we then replace with authentic illustrations."

He added, "Larian brings on artists for their inherent skill, not for their ability to replicate what a machine suggests."

Three Pillars of Practical Application

Vincke had in the past broken down the company's targeted method to machine learning, grouping its use into three main functions:

• Streamlining Repetitive Work: This includes polishing mocap data, audio processing, and technical processes like adapting animations for different models.
• Accelerated Iteration: Using technology to rapidly prototype rough mock-ups of gameplay ideas to test concepts prior to complete implementation.
• Long-Term Aspirations: Investigating how machine learning could eventually enhance emergent reactivity, particularly in creating unforeseen permutations in a complex RPG.

He specifically affirmed that central narrative areas — such as visual art — are are in no way departments where the team is cutting human input. On the contrary, Larian is actively hiring in these very positions.

"Larian is not shipping a game with AI-generated content, nor planning on trimming down teams to replace them with artificial intelligence," Vincke summarized.