What Aidan N. Gomez thinks about neural networks
One of the eight authors of the 2017 transformer paper "Attention Is All You Need", then at University of Toronto; per the paper's own contribution note, designed and implemented parts of tensor2tensor, the codebase that replaced the team's earlier one.
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2 dated positions, 2017, in their own words. Our reading of what Aidan N. Gomez has said — not written or endorsed by them.
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Their wordsTo the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
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Their wordsAs side benefit, self-attention could yield more interpretable models.