APIUp to 28% cheaper than official pricesTry the API →
Hermes
APIModelsCases
Back to News
newsPost TrainingTraining Infra

Sakana AI's PC-ALM Trains 1,000-Layer Networks Without Backpropagation

Sakana AI's PC-ALM adds Lagrange multipliers to predictive coding, training 1000-layer networks with only layer-local dynamics and no backpropagation.

Sakana AI's PC-ALM Trains 1,000-Layer Networks Without Backpropagation
Source
Sakana AI
Published
Author
AlphaSignal Newsroom
Read
1 min read

Sakana AI's PC-ALM adds Lagrange multipliers to predictive coding, training 1000-layer networks with only layer-local dynamics and no backpropagation.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

Read original report

Next reads

Fair Cast Stops bf16 Exports From Silently Killing RL Training Gains
AlphaSignal · paper

Fair Cast Stops bf16 Exports From Silently Killing RL Training Gains

CMU Collapses Four AI Training Stages Into One Shared Loss
AlphaSignal · paper

CMU Collapses Four AI Training Stages Into One Shared Loss

Reflection AI's Beam Ran 1.3 Billion Sandboxes on 10,500 GPUs
Reflection · news

Reflection AI's Beam Ran 1.3 Billion Sandboxes on 10,500 GPUs