The Full Value of Human Data - 2 - Quantifying Human Data Via Wild-As-All-Hell Speculation

Endorphin and Claude 3 Sonnet get in the weeds regarding a system to implement compensation for an artist's work, and for the data involved with a citizen's digital footprint. We speculate wildly to show you what these models can do to punch through the blank page that prevents much necessary work from happening, so that you too can be a Citizen-Huge-Ass-Problem-Solver! CREDITS Text Generation via Claude 3 Sonnet by Anthropic. Voices from the TTS v2 of the NovelAI text generation service, a product from a company now called Anlatan. @BoneAmputee of EleutherAI for making VQGAN+CLIP and Diffusion (AND MANY MORE) models available for use via BATbot.ai, which is what makes some background images. Katherine Crowson (@RiversHaveWings on Twitter) for the KLMC2 animation notebook. David Marx (@DigThatData on Twitter) for souping above KLMC2 notebook to make use of initial images, which takes KLMC2 abilities to next level. Multi-prompt scheduling still baffles me, but I'll tackle them someday. Music By Streambeats by Harris Heller via Spotify Playlists Any voices from the text-to-speech model that might resemble persons living or dead are coincidental, and if I use them it's because of my respect for their work, and I think they'd get a hoot that their voice was being used to show how large language models would speak 24/7 epic poems about anything if we let them. In the meantime, because I use them, I will not be monetizing any of this. This is evidence of capabilities for the public good. And my resume/CV!