Episode Details

This is a direct sequel to Episode 161. We're applying Robin Wall Kimmerer's indigenous 'honorable harvest' principles—guidelines for sustainable resource extraction used for millennia—to how AI companies are harvesting data from the internet right now. We explore what reciprocity, permission, and sustainability mean in the age of large language models, and whether the way we train AI respects the gift of human knowledge online. 00:00 - Introduction and recap of Episode 161 02:00 - The 12 principles of the honorable harvest 04:30 - How AI violates indigenous wisdom 08:00 - The scale: 3.1 billion web pages in LLM training data 12:00 - Permission, reciprocity, and what we owe creators 16:00 - Building a sustainable future for AI This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.