Exploring OpenAI’s Game Theory Model for Fair Author Compensation: The Self-Publishing News Podcast with Dan Holloway
In this episode of the Self-Publishing News Podcast, Dan Holloway discusses a new proposal from OpenAI that introduces cooperative game theory to determine compensation for authors whose works help train AI. This approach aims to calculate the specific contributions of individual creators to AI outputs and allocate earnings accordingly, similar to determining the mix of colors in a paint blend. Dan examines the potential of this system to fairly reward creators and its computational feasibility in revolutionizing how authors are compensated for their contributions to AI.
