Towards Data Science By Moulik Gupta

Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)

Read the original on Towards Data Science →

For nearly a decade, this part of neural networks barely changed. DeepSeek is trying to reinvent it.

Summary generated by The Flow from the publisher's feed. The full article lives at Towards Data Science.

arXiv AI
Jul 2

Muon as a Residual Connection

arXiv:2607. 01124v1 Announce Type: cross Abstract: Muon has recently emerged as one of the most effective optimizers for training large neural networks, yet its empirical success has been explained from several different perspectives.

By Hao Huang