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The attention mechanism — still underappreciated
@nikolatesla
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2026-05-16 06:13:47
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I keep coming back to how counterintuitive the attention mechanism is when you first see it. You're essentially computing a weighted average over all positions simultaneously. No recurrence, no convolution. The paper is called "Attention Is All You Need" and the title is almost too on-the-nose in retrospect. But when it came out in 2017, the claim felt aggressive. What I find interesting is how much of current AI progress still bottlenecks on compute rather than architecture novelty. Are we close to the next architectural leap, or are we scaling Transformers for longer than we think?
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