Early games used nature as simple scenery. Later, it became a key part of gameplay. Now, in open-world games, virtual nature is a complex, living system that operates independently of the player, creating a more immersive and realistic experience.
Static benchmarks are easily gamed. Dynamic environments like the game Diplomacy force models to negotiate, strategize, and even lie, offering a richer, more realistic evaluation of their capabilities beyond pure performance metrics like reasoning or coding.
When games introduce players to new environments or creatures, it can spark genuine curiosity and engagement with the real world. After Minecraft added the endangered axolotl, Google searches spiked, and an axolotl sanctuary reported a surge in visitors inspired by the game.
GI discovered their world model, trained on game footage, could generate a realistic camera shake during an in-game explosion—a physical effect not part of the game's engine. This suggests the models are learning an implicit understanding of real-world physics and can generate plausible phenomena that go beyond their source material.
Game artists use scanning (photogrammetry) to create ultra-realistic assets. By taking thousands of photos of a real tree from every angle, they generate a 3D model that is a direct digital copy, effectively making the in-game object a "digital ghost" of a real one.
Large language models are insufficient for tasks requiring real-world interaction and spatial understanding, like robotics or disaster response. World models provide this missing piece by generating interactive, reason-able 3D environments. They represent a foundational shift from language-based AI to a more holistic, spatially intelligent AI.
The podcast highlights how individuals with health conditions preventing them from going outdoors, like severe allergies, use games like Minecraft to experience nature. These virtual environments become a vital substitute, offering the freedom to explore diverse biomes and connect with a feeling they can no longer access physically.
Instead of replacing entire systems with AI "world models," a superior approach is a hybrid model. Classical code should handle deterministic logic (like game physics), while AI provides a "differentiable" emergent layer for aesthetics and creativity (like real-time texturing). This leverages the unique strengths of both computational paradigms.
Instead of manually designing every detail, games like Minecraft use algorithms (procedural generation) to build vast worlds. This technique, similar to natural laws, allows for emergent complexity and unique landscapes that can surprise even the game's creators, fostering a sense of discovery.
Game engines and procedural generation, built for entertainment, now create interactive, simulated models of cities and ecosystems. These "digital twins" allow urban planners and scientists to test scenarios like climate change impacts before implementing real-world solutions.
Achieving photorealistic virtual nature requires immense computational power, leading to significant energy consumption and carbon emissions. The gaming industry's emissions are estimated to be around 50 million tons of CO2 annually, comparable to a country like Sweden, ironically harming the real environment it seeks to simulate.