Summary

  • A recent research paper from Google’s AI division, DeepMind, has attracted attention for the number of authors it credited, weighing in at a whopping 3,295.
  • While not the highest number ever attributed to a paper (that record stands at 15,025), it’s a noteworthy amount nonetheless.
  • Large author lists have become common in particle physics, where major experiments require huge teams of contributors, but the diversity of skills needed to create Google’s family of AI models is also widening the scope for collaboration.
  • As well as machine learning researchers, the development of AI models such as Gemini requires contributions from software engineers, hardware specialists, ethicists, product managers and domain experts, making for a vast number of relevant disciplines and specialisms.

By Benj Edwards

Original Article