A 2017 Google excerpt showed CNNs accounted for only 5% of datacenter neural network workload while ISCA 2016 papers focused almost exclusively on convolutional architectures
Alexander Terenin highlighted sequence modeling's greater practical weight at the time.
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QUOTE POST
#1150Alexander Terenin@AVT_IM
Even in 2017, signs that sequence-to-sequence modeling was significantly more important than other paradigms were there.
The revolutionary impact of transformers could have been predicted from LSTM use.
So funny in hindsight that in 2017 google was screaming for people to please stop talking about CNNs
9:54 PM · May 23, 2026 · 4.2K Views
3:13 AM · May 24, 2026 · 1.5K Views