Agents at Scale: Inside MiniMax's Model and the Infrastructure Behind It — Olive Song
Olive Song, who leads reinforcement learning at MiniMax, explains how the company built its AI model and the infrastructure behind it.
MiniMax focuses on releasing open-source code so others can optimize and use the model widely. Song describes the practical work: how to train models that can build games and use computers, how to write and adjust GPU code for fast computation, and how to handle multiple modalities (text and images) without them collapsing during training. Much of the work's focus lies on technical details like KV-cache management and optimization on day one when the model is released.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
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