HomeMiniMax Unveils M2.7, the First Chinese Large Model to Deeply Engage in Self-Iteration
The evolution of artificial intelligence is shifting from a cycle of monthly updates to one of self-directed growth. On March 18, MiniMax released the initial version of a model that actively contributes to its own iterative development: MiniMax M2.7. This milestone signifies a pivotal shift in model creation, where large language models are no longer solely dependent on human engineers but are beginning to autonomously refine themselves.
According to official details, the primary innovation of MiniMax M2.7 is its robust self-construction capability. It can independently generate complex Agent Harness (agent testing frameworks) and execute highly intricate productivity tasks by leveraging foundational features such as Agent Teams (collaborative agents), complex Skills, and Tool Search tools.
In essence, M2.7 functions not just as an advanced conversationalist, but as a "digital engineer" capable of self-diagnosis and optimization. This mode of "self-participating iteration" significantly enhances the model's logical reasoning and tool-calling precision when tackling unfamiliar, complex challenges.
This self-evolving MiniMax M2.7 model is now fully available on the MiniMax Agent platform and various open platforms. As large models increasingly engage in their own developmental processes, the potential limits of AI are being redefined and pushed higher.
Meanwhile, the AI computing power and application markets are experiencing significant activity. LuChen Technology recently announced a Series B funding round worth hundreds of millions of yuan, with overseas revenue comprising up to 79% of its total. Additionally, due to surging demand, certain AI computing power products from AliCloud have implemented price increases. Amidst this blend of technological advancement and market volatility, the AI landscape in 2026 is becoming increasingly competitive and unpredictable.
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The evolution of artificial intelligence is shifting from a cycle of monthly updates to one of self-directed growth. On March 18,
According to official details, the primary innovation of
In essence, M2.7 functions not just as an advanced conversationalist, but as a "digital engineer" capable of self-diagnosis and optimization. This mode of "self-participating iteration" significantly enhances the model's logical reasoning and tool-calling precision when tackling unfamiliar, complex challenges.
This self-evolving
Meanwhile, the AI computing power and application markets are experiencing significant activity.
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
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