MiniMax-M1: Scaling Test-Time Compute with Lightning Attention
Clip the importance weight, not the update — efficient RL for a hybrid-attention reasoning model.
MiniMax · arXiv 2025 · Reasoning & RL. Read the paper ↗
A free, interactive, animated visual explainer of MiniMax-M1: Scaling Test-Time Compute with Lightning Attention — every exhibit computed from the real formulas, with verbatim quotes from the source.
Questions
- What is MiniMax-M1: Scaling Test-Time Compute with Lightning Attention?
- Clip the importance weight, not the update — efficient RL for a hybrid-attention reasoning model.
- Who published MiniMax-M1: Scaling Test-Time Compute with Lightning Attention, and where?
- MiniMax — arXiv 2025 (arXiv:2506.13585).
- Where can I find a visual explainer of MiniMax-M1: Scaling Test-Time Compute with Lightning Attention?
- Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.
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