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DeepMind research team disclosed in an arXiv paper that four autonomous agents running Gemini 4 Argon autonomously completed Minecraft in survival mode. According to a Pengpai News report on October 22, 2026, the four agents took 27 hours and 14 minutes to defeat the Ender Dragon, with no human intervention throughout and without receiving game-specific training; during the process they wrote and ran 2,783 programs, exchanged 229 chat messages, died 605 times, and processed about 1.35 billion input tokens, costing about $520 at discounted prices; the paper states this is the first end-to-end autonomous completion using only the standard Mineflayer library, without pre-exploring seeds or human-written game-specific tools. A Phoenix Technology report on October 23 added that the division of labor was not pre-written into the prompts, but was proposed by the agents themselves about ten minutes after the game started and gradually took shape, with role responsibilities adjusted as the process progressed; the team accumulated 605 deaths, and the causes of failure were analyzed and stored in shared memory for reuse by the whole team, with about 24,000 model calls throughout, of which 91% of input tokens came from context caching, and about 22% of game programs had errors, with the server restarting 6 times. Currently, this experiment remains at the latest status as disclosed in the paper.
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Oct 23
Phoenix Technology
Google DeepMind autonomously completes Minecraft with four Gemini 4 Argon agents
Google DeepMind published the paper "A team of Gemini 4 Argon agents beats Minecraft": four coding agents driven by Gemini 4 Argon autonomously defeated the Ender Dragon in randomly generated Minecraft survival mode, writing 2,783 program segments throughout and taking 27 hours 14 minutes. The division of labor was not pre-written into the prompt; rather, the agents proposed it themselves about ten minutes after the game started and it gradually took shape, with role responsibilities adjusting as the process went on. The team died a cumulative 605 times, and the causes of failure were analyzed and stored in shared memory for the whole team to reuse; the whole run involved about 24,000 model calls and 1.35 billion input tokens, 91% of which came from context caching, and at discounted API prices the estimated cost to complete the game was about $520, with about 22% of game programs showing errors and the server restarting 6 times.
36Kr · AI
Google DeepMind beats Minecraft with four Gemini 4 Argon agents
Google DeepMind published the paper "A team of Gemini 4 Argon agents beats Minecraft": four Gemini 4 Argon coding agents autonomously divided labor in a randomly generated Minecraft survival world, accumulating 605 deaths and writing 2,783 programs, defeating the Ender Dragon in 27 hours and 14 minutes. The experiment used Minecraft Java Edition 1.20.4, Easy difficulty, a random map, and no cheats; the agents read the environment via Mineflayer and wrote JavaScript to command characters, with roughly 24,000 model calls and 1.35 billion input tokens over the whole run, 91% of which came from context caching. The authors note that about 22% of game programs contained errors and the server restarted 6 times; the paper did not demonstrate stable completion through repeated tests on multiple random maps, and at discounted API prices the completion cost is estimated at about $520.
Oct 22
The PaperSelected
Four Gemini agents autonomously complete Minecraft, defeating the Ender Dragon in 27 hours
Four autonomous agents running Gemini 4 Argon took 27 hours and 14 minutes to defeat the Ender Dragon in Minecraft survival mode, with no human intervention throughout and without receiving game-specific training; the DeepMind research team disclosed this experiment in an arXiv paper. During the process, the agents wrote and ran 2,783 programs, exchanged 229 chat messages, died 605 times, processed about 1.35 billion input tokens, and cost about $520 at discounted prices. The paper states this is the first end-to-end autonomous completion using only the standard Mineflayer library, without pre-exploring seeds or human-written game-specific tools.
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