Large language models: neural networks trained on vast amounts of text to predict the next word, which lets them write, answer questions and code. GPT, Claude and Gemini are examples.
Corporations such as Anthropic employ philosophers, anthropologists, psychologists and ethicists to work on the interpretability of LLMs. They look at what happens in the black box of AI, the latent space, which we can only analyze up to a point.
Agnieszka Kurant, Agnieszka Kurant on Alien Thoughts
Does it make sense to write books anymore if LLMs can do this much faster? As a writer, one cannot match the speed of automated text production. One is always lagging. Right now one would need to considerably fix any LLM-written book but probably not for very much longer.
Hito Steyerl, Hito Steyerl on How It Uses Us