You do the work. Big Tech takes the model.

In the AI industry, there is a growing critique over the use of unlicensed data and the hidden exploitation of labor in the development of AI models. The industry relies on two types of human work: existing content such as novels and scientific papers, often scraped without permission for training base models, and newly created tasks like annotation and moderation to refine these models for commercial use. This practice raises ethical concerns as companies like Meta, Anthropic, and OpenAI face legal challenges for copyright infringements, with court cases revealing the unauthorized use of copyrighted material. Additionally, the labor involved in refining AI models is often underpaid and involves exposure to harmful content, with companies distancing themselves from the workers by using contractors. There is a push for more ethical AI development practices, emphasizing the use of licensed data, fair labor practices, and transparency in data usage. Alternative datasets like The Common Pile demonstrate the potential for developing competitive models without unlicensed data, challenging the industry's claim that using web-scale unlicensed text is necessary. Urro aims to build AI models with a clean provenance, focusing on ethical data sourcing and labor practices, highlighting the need for operational standards that prioritize ethical considerations over cost-cutting measures.