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Microsoft Unveils Playable Quake II Demo to Showcase Copilot AI Gaming Potential
Microsoft has debuted a browser-based, playable demonstration level of the iconic video game Quake II. This release functions as a tech demo, highlighting the gaming capabilities of Microsoft’s Copilot AI platform. However, the company acknowledges that the experience is not equivalent to playing a fully realized game.
Experience Quake II in Your Browser
Users can explore this tech demo directly in their web browser, utilizing a keyboard to navigate a single level from Quake II for a limited time. This provides a firsthand glimpse into the potential of AI-driven gaming experiences.
Muse AI Models Power Interactive Gaming
In a published blog post, Microsoft researchers elaborated on their Muse family of AI models for video games. These models enable users to “interact with the model through keyboard/controller actions and see the effects of your actions immediately, essentially allowing you to play inside the model.” This interactive capability is at the heart of the Quake II demonstration.
Training AI on a Classic Game Level
To showcase these interactive features, the researchers trained their AI model using a specific level from Quake II, a property Microsoft acquired through its acquisition of ZeniMax Media. This familiar environment serves as a testing ground for the AI’s gaming prowess.
Initial Reactions: Exploring the AI-Simulated World
“Much to our initial delight we were able to play inside the world that the model was simulating,” the researchers noted. “We could navigate the environment, control the camera perspective, jump, crouch, engage in combat, and even detonate barrels, much like in the original game.” This initial success fueled further exploration of the AI’s capabilities.
Research Exploration vs. Full Game Experience
Simultaneously, the researchers emphasized that this endeavor is intended as “a research exploration” and should be perceived as “playing the model as opposed to playing the game.” This distinction is crucial for understanding the current limitations and future potential of the technology.
Acknowledged Limitations of the AI Model
Microsoft researchers openly acknowledged “limitations and shortcomings” within the current AI model. These include:
- Fuzzy enemy rendering
- Potentially inaccurate damage and health indicators
- Challenges with object permanence: The model may lose track of objects out of sight for brief periods (0.9 seconds or longer).
Exploiting AI Quirks for Gameplay
From a research perspective, these limitations can “also be a source of fun.” Players might discover unconventional gameplay mechanics, such as “defeat or spawn enemies by briefly looking at the floor and then looking back up,” or even “teleport around the map by glancing at the sky and then back down.”
Criticism Regarding Game Preservation and AI
However, some game industry voices have expressed skepticism. Writer and game designer Austin Walker shared a gameplay video depicting extended periods trapped in dimly lit areas. (Anecdotally, similar experiences were encountered in testing the demo, highlighting potential navigation challenges).
Questioning AI’s Role in Game Preservation
Referencing recent comments from Microsoft Gaming CEO Phil Spencer regarding AI models aiding in game preservation by enabling classic games to be “portable to any platform,” Walker contended that this demonstration reveals “a fundamental misunderstanding of not only this tech but how games WORK.” He raises concerns about the depth of AI’s ability to truly replicate classic gaming experiences.
Preserving the Essence of Classic Games
“The internal workings of games like Quake — code, design, 3d art, audio — produce specific cases of play, including surprising edge cases,” Walker stated. “That is a big part of what makes games good. If you aren’t actually able to rebuild the key inner workings, then you lose access to those unpredictable edge cases.” This perspective emphasizes the intricate nature of game design and the challenges of AI-driven replication.