Kimi Linear Attention Explained in 3 Minutes! | The End of Softmax Attention?

Описание: Linear attention used to mean worse performance. Not anymore. 🔥

In this video, we break down Kimi Linear, Moonshot AI's new hybrid attention architecture that, for the first time, beats full softmax attention on short context, long context, AND reinforcement learning benchmarks, while being up to 6× faster at 1 million token context lengths.

Here's what we cover:
⚡ Why standard transformer attention doesn't scale
🧠 How the Kimi Delta Attention (KDA) module works
🔧 The clever DPLR constraint that makes it hardware-efficient
🏆 Why the 3:1 hybrid ratio is the sweet spot
📈 What this means for the future of agentic AI

This isn't just an incremental improvement , it's a signal that the linear vs. full attention debate might finally be settled. 👀

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