This paper argues that compensating human labor for training data is the largest cost in developing Large Language Models, significantly exceeding model training expenses, and suggests fairer practices for the future.

https://arxiv.org/abs//2504.12427

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers