Reminder: attention itself doesn't require causal masking — it's just an autoregressive crutch

antoine_chaffin · x · 2026-10-10

Meta researcher antoinechaffin reminds people to reread "Attention Is All You Need": the original definition of attention does not include causal masking. Causal masking, he argues, is merely a trick to make autoregressive generation learnable — a strictly weaker use of attention. The observation echoes ongoing industry interest in diffusion LMs and alternatives to the autoregressive paradigm.

Related event: Meta researcher: attention was never defined with causal masking(3 posts)→

Original post →

More from Models

Models channel →