通俗意义上讲，Agent时代更考验的是AI调用各种工具的能力，其核心是让AI成为有自主能力的任务执行体，完成从语言交互到自主操作的转变。因此，在Agent时代，各家更看重的是AI超级入口之争，也就是抢夺用户调用工具的入口。而从简单的层面理解，OpenClaw或许可以视为技术迅速迭代之下，现阶段最新的超级入口探索形态。
But MXU utilization tells the real story. Even with block=128, flash attention’s MXU utilization is only ~20% vs standard’s ~94%. Flash has two matmuls per tile: Q_tile @ K_tile.T = (128, 64) @ (64, 128) and weights @ V_tile = (128, 128) @ (128, 64). Both have inner dimension ≤ d=64 or block=128, so the systolic pipeline runs for at most 128 steps through a 128-wide array. Standard attention’s weights @ V is (512, 512) @ (512, 64) — the inner dimension is 512, giving the pipeline 512 steps of useful work. That single large matmul is what drives standard’s ~94% utilization.
，这一点在立即前往 WhatsApp 網頁版中也有详细论述
OpenAI hardware exec Caitlin Kalinowski quits in response to Pentagon deal，这一点在谷歌中也有详细论述
Speedup: 1.8985x faster，更多细节参见超级权重
standard macOS conventions: the menu bar, Find Next / Find Previous