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MiniMax AI showcases M2.7's long-horizon tool use with 8 agents in a city simulation

MiniMax AI has showcased the long-horizon tool-use capabilities of its M2.7 model through a demonstration involving eight agents operating within a simulated city environment. This experiment highlights the model's ability to coordinate complex tasks and interact with its environment over extended periods. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Showcases advanced agent coordination and long-horizon task execution, potentially enabling more complex AI-driven simulations and applications.

RANK_REASON Demonstration of a model's specific capability (long-horizon tool use) by its developer. [lever_c_demoted from research: ic=1 ai=1.0]

Read on X — MiniMax AI →

COVERAGE [1]

  1. X — MiniMax AI TIER_1 · MiniMax_AI ·

    8 agents. 1 city. this is what M2.7's long-horizon tool use was built for 🔥

    8 agents. 1 city. this is what M2.7's long-horizon tool use was built for 🔥