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cs.AI2026
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
Sam Earle, Kai Arulkumaran, Andrew Dai +3
We are in the midst of large-scale industrial and academic efforts to automate the processes of scientific, technological and creative production through AI-driven assistants. Hist…
cs.HC2026
The Garden of Forking Paths: Threading Narrative Archetype as a Semantic Signal Through Gameplay Planning
Yunge Wen, Chenliang Huang, Hangyu Zhou +7
Generative models can produce individual game facets, but whole-game generation remains an orchestration problem: narrative, level structure, encounters, objectives, rewards, and v…
cs.CV2026
Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
Tim Merino, Sam Earle, Ryunosuke Iwai +2
We introduce Dream-Cubed, a large-scale dataset of Minecraft worlds at voxel resolution, and a family of models using cubes as powerful compositional units for efficient generation…