mlsanityData to 7 Oct 2026

The perpetual motion machine of AI-generated data and the distraction of ChatGPT-as-scientist

arXiv 2312.00818 ↗First posted 29 Nov 2023cs.LG cs.AIcited by 0

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Abstract (arXiv)

Since ChatGPT works so well, are we on the cusp of solving science with AI? Is not AlphaFold2 suggestive that the potential of LLMs in biology and the sciences more broadly is limitless? Can we use AI itself to bridge the lack of data in the sciences in order to then train an AI? Herein we present a discussion of these topics.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 11 references that are in the map. First posted on arXiv 29 Nov 2023.

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References · 4

  1. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  2. 2021Generative Models as a Data Source for Multiview Representation Learningcited by 104
  3. 2022The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalystscited by 95
  4. 2023The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capturecited by 18

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