A widely discussed essay argues that today’s AI companies increasingly resemble parasites: they depend on resources created by others while returning limited value to the systems that sustain them. The author criticizes how AI firms absorb vast amounts of publicly available writing, code, images, and other online work to train proprietary models, often without clear permission or compensation. The argument also extends beyond data, pointing to the industry’s reliance on public infrastructure, energy resources, research, open-source software, and human labor. In this view, AI companies privatize the benefits of a shared information ecosystem while shifting many of the financial, environmental, and social costs onto creators and the public. The post has sparked discussion on Hacker News, where readers debated whether the comparison is fair, how technological progress should be funded, and whether stronger rules are needed around training data and corporate accountability.