Generative AI Race to the Bottom - Game Theory and Suboptimal Outcomes
We explore how game theory concepts like the prisoner's dilemma apply to potential "tragedies of the commons" with uncontrolled AI generation models. Without cooperation, dominant strategies emerge that harm all players, like: Reducing content moderation to drive engagement Pirating/theft spreading as widely-accepted Using incrementally worse synthetic media Job loss as creators are displaced These unfortunate outcomes resemble the economic race to the bottom dynamics seen throughout history. Understanding game theory incentives allows strategizing to avoid society-level losses as generative AI progresses. Regulation and corporate cooperation is key.
Show Notes
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