causal claim
The 2017 shift from RNNs to transformers was driven by RNNs' sequential token processing and slow training.
Stefano Ermon · Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon · 18 Sept 2026
In their words
The transcript segments this claim was taken from
“There was an inflection point in 2017 when people switched from RNNs to transformers, right?”
“The problem was that RNNs had to essentially process tokens sequentially one at a time, and training was very slow.”Play from 8:19Report a misattribution
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