The Divinity Developer Details Its Implementation of Machine Learning for Next Divinity Game
The developer behind acclaimed role-playing games like Baldur's Gate 3 and Divinity: Original Sin has recently unveiled its upcoming project, generating a wave of anticipation within the gaming community. However, follow-up comments from the company's figurehead have brought nuance to the discussion, touching on the team's approach toward machine learning.
Augmenting Workflows, Not Cutting Jobs
In a new statement, Larian's director outlined that the company is utilizing generative AI for particular ancillary functions. These encompass enhancing PowerPoint slides, generating initial artistic references, and creating placeholder text.
Notably, Vincke stressed that the shipping assets in the game will be crafted solely by actual writers. "Larian is writing every line manually," he affirmed.
Our studio is continuously growing our team of writers and are actively putting together narrative groups.
Since this area is being specifically referenced — we currently have twenty-three artistic staff and have job openings for further artists.
Everything we do is supplementary and aimed at having people spend more time on the creative process.
Any machine learning application used well is additive to a creative team process, not a substitute for their skill.
Addressing Concerns and Clarifying the Vision
The admission of AI usage originally sparked concern among portions of the fanbase. In reply, Vincke provided more clarification on online platforms.
"At Larian, we employ machine learning to explore references, just like we use search engines and physical media," he stated. "During the conceptual ideation stages we use it as a rough outline for composition which we then substitute with hand-crafted concept art."
He added, "We've hired artists for their unique talent, not for their capacity to execute what a algorithm proposes."
Key Areas of AI Integration
Vincke had in the past outlined the studio's focused approach to AI and ML, defining its use into key areas:
- Handling Monotonous Jobs: This includes polishing mocap data, dialogue cleanup, and technical processes like adjusting assets for various species.
- Accelerated Iteration: Using technology to rapidly prototype simple models of gameplay ideas to validate concepts ahead of full implementation.
- Experimental Frontiers: Researching how machine learning could one day enhance innovative gameplay, specifically in creating player-driven narratives in a detailed game universe.
He clearly noted that central narrative areas — including writing — are not areas where the team is cutting artistic talent. Conversely, Larian is recruiting more in these precise fields.
"We are neither shipping a game with any AI components, and we are certainly not looking at reducing staff to swap them out with AI," Vincke summarized.
