GPT-3 belongs to a category of deep learning known as a large language model, a complex neural net that has been trained on a titanic data set of text: in GPT-3’s case, roughly 700 gigabytes of data drawn from across the web, including Wikipedia, supplemented with a large collection of text from digitized books. GPT-3 is the most celebrated of the large language models, and the most publicly available, but Google, Meta (formerly known as Facebook) and DeepMind have all developed their own L.L.M.s in recent years. […] But if the GPT-3 true believers are correct, in the near future you’ll just ask an L.L.M. the question and get the answer fed back to you, cogently and accurately. 2022 April 15, Steven Johnson, “A.I. Is Mastering Language. Should We Trust What It Says?”, in The New York Times, →ISSN, archived from the original on 16 Jul 2022: