Larian Studios Details Its Implementation of Generative AI for Upcoming Divinity Game
The developer behind popular RPGs like Baldur's Gate 3 and Divinity: Original Sin has recently unveiled its upcoming project, sparking immense anticipation within the player base. However, follow-up comments from the company's figurehead have brought clarity to the narrative, touching on the studio's stance toward machine learning.
AI as a Creative Assistant, Not a Substitute
In a new statement, Swen Vincke outlined that the developer is utilizing machine learning for particular supporting tasks. These encompass enhancing presentation materials, generating rough concept art, and creating temporary text.
Importantly, Vincke made clear that the final assets in the game will be crafted entirely by actual artists. "Our team is developing every line ourselves," he affirmed.
We are constantly expanding our pool of concept artists and are busily putting together narrative groups.
Given that concept art is being particularly called out — we presently have twenty-three artistic staff and have positions available for more talent.
Everything we do is incremental and focused on letting our team spend additional energy on the creative process.
Any machine learning application used well is a boost to a developer's routine, not a substitute for their talent.
Addressing Concerns and Clarifying the Vision
The revelation of employing this technology originally sparked backlash among portions of the player base. In reaction, Vincke offered additional clarification on social media.
"At Larian, we employ AI tools to gather inspiration, similar to we use the internet and art books," he explained. "During the initial brainstorming phase we use it as a rough outline for structure which we then substitute with authentic concept art."
He noted, "We've hired artists for their unique talent, not for their ability to follow what a machine suggests."
Three Pillars of Practical Application
Vincke had earlier outlined the company's focused approach to machine learning, categorizing its use into key areas:
- Automation of Tedious Tasks: This encompasses polishing mocap data, voice editing, and Larian-specific work like retargeting animations.
- Fast-Tracked Experimentation: Using technology to quickly build rough mock-ups of scenarios to validate concepts before full development.
- Experimental Frontiers: Investigating how machine learning could eventually facilitate emergent player agency, particularly in managing unforeseen permutations in a vast role-playing world.
He explicitly stated that key artistic areas — including writing — are are absolutely not departments where the company is reducing artistic talent. On the contrary, Larian is expanding its staff in these exact roles.
"We are neither launching a game with AI-generated content, and we are certainly not looking at reducing teams to swap them out with artificial intelligence," Vincke summarized.
