There's a growing rage in the developer community, and it's worth paying attention to. Programmers spent decades building a culture of open collaboration, sharing code freely to advance the industry. Now they're watching AI companies train billion-dollar models on their work without compensation, credit, or even respect for licenses.
Developer Rich Whitehouse wrote an essay called "Open Sores" that captures this frustration. His core argument: open-source development has become a mechanism for corporate exploitation rather than genuine collaboration.
The Broken Social Contract
The open-source ethos was supposed to be collaborative. You share your code, others build on it, everyone benefits. That worked when the benefits were symmetrical — developers helping developers.
But AI training broke that contract. Companies like OpenAI, Anthropic, and Google scraped millions of repositories on GitHub, ingesting decades of unpaid labor to build commercial products. They didn't ask permission. Many ignored license terms. And when developers complained, they got shrugs and legal mumbo-jumbo about fair use.
Whitehouse frames this bluntly: "LLMs trained on decades of unpaid labor represent capitalism's natural response to labor value growth." Translation: when developer time got expensive, companies found a way to get it for free.
The Asymmetry Problem
What galls developers isn't just the lack of compensation — it's the asymmetry. Individual programmers share their code openly. Giant corporations build proprietary systems worth billions. The value flows one direction.
And unlike traditional open-source adoption, where you could at least see who was using your code, AI training is a black box. Your code went in, a model came out, and good luck proving what it learned from you specifically.
Why Legislation Won't Help
Whitehouse is pessimistic about legislative solutions. He argues that laws will favor powerful corporations over workers, regardless of license violations. And he's probably right — look at how copyright enforcement works in practice. Small creators get DMCA'd instantly. Large companies settle for pennies on the dollar.
