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From Lightning to Sparse: How MiniMax M3 Reads a Million Tokens Without Reading Them All

MiniMax introduces M3, a sparse attention mechanism that efficiently processes up to a million tokens by selectively reading only relevant parts of the input, overcoming production failures of prior efficient attention methods.

read1 min views35 publishedJun 21, 2026

A concept-first tour of MiniMax Sparse Attention — why “efficient attention” kept failing in production, and the surprisingly simple idea… Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article Claude Code Skills vs Subagents vs Hooks vs Workflows: Which to Use in 2026 GPT-Live-1 Tool Delegation: Keep Voice Agents Honest During Slow Work Embedded AI Evaluation: The Access Contract Enterprises Need Before They Trust Their Agents
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