Kipf Notes Coincidental Release of Recirculation Paper and Scaling Laws Post
Thomas Kipf and Delip Rao comment on two AI research releases happening together.
Thomas Kipf, a Senior Staff Research Scientist at Google DeepMind on the Veo team, posted that Mike’s recirculation paper and Jie’s post about scaling laws came out on the same day and could not have been timed better. Delip Rao, an AI researcher focused on NLP and deep learning, replied to the post with the single word Exactly. The exchange appears in public posts on X. Kipf is known for foundational work on graph neural networks. The packet records these statements as direct comments on the releases without further details on the papers themselves or their content.
Mike’s recirculation paper and Jie’s post about scaling laws coming out on the same day couldn’t have been timed better
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Kipf Notes Coincidental Release of Recirculation Paper and Scaling Laws Post
Thomas Kipf and Delip Rao comment on two AI research releases happening together.
Thomas Kipf, a Senior Staff Research Scientist at Google DeepMind on the Veo team, posted that Mike’s recirculation paper and Jie’s post about scaling laws came out on the same day and could not have been timed better. Delip Rao, an AI researcher focused on NLP and deep learning, replied to the post with the single word Exactly. The exchange appears in public posts on X. Kipf is known for foundational work on graph neural networks. The packet records these statements as direct comments on the releases without further details on the papers themselves or their content.
Mike’s recirculation paper and Jie’s post about scaling laws coming out on the same day couldn’t have been timed better
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1 post@tkipf Exactly!