attention-evolution-timeline

IN premise — entries/2026/06/21/wiki-Transformer_deep_learning_architecture-chunk-7.md

Created 2026-06-21T09:55:55+00:00

Attention mechanism evolution: connectionist models (1982) → fast weights (1992) → additive attention (Bahdanau 2014) → multiplicative attention (Luong 2015) → self-attention (Vaswani 2017)

Dependents

These beliefs depend on this one:

• IN attention-evolution-extends-convergent-discovery-pattern — The attention mechanism's independent evolution through multiple paradigms (connectionist models 1982 → fast weights 1992 → additive attention 2014 → scaled dot-product 2017) extends the convergent discovery pattern established for gradient computation, gradient flow, and weight sharing — attention's mathematical form was converged upon across disconnected research traditions rather than invented, suggesting it is another mathematical necessity of sequence-aware computation.