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Minecraft players beat the Ender Dragon without human intervention

Google DeepMind researchers demonstrated that four Gemini 4 Argon agents defeated the Ender Dragon in Minecraft by coordinating via in-game chat and shared memory. The experiment utilized no assigned roles, strategies, or game-specific tools.

Field
applying language models
What they did
Google researchers demonstrated how four agents based on the Gemini 4 model defeated the final boss of Minecraft (the Ender Dragon) without human intervention. The agents independently divided tasks, warned each other about threats, and collected items using only shared advice and memory.
Why it matters
This demonstrates that current large language models can independently solve complex game tasks, which previously required creating specialized software for each game.
#gemini#agents#minecraft#reinforcement learning#ai safety

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