AnalysisAI ModelsSeptember 14, 2026

Sakana AI's PC-ALM trains 1000-layer nets without backprop

PC-ALM replaces backprop's forward-then-backward passes with layer-local dynamical systems, adding dual neurons (Lagrange multipliers) per layer so each layer couples only to its neighbors. It trains residual MLPs up to 1000 layers, nearly matching backprop's performance.

How this story unfolded

1 day · 1 report · 2 community posts · from Sep 14

  1. Sep 14
  2. Sep 15

More stories today

Open the live feed