Solving the wicked problem of AI model collapse—where models trained iteratively on AI-generated data degrade by the third generation due to loss of diversity, authenticity, and real-world variance—requires a multifaceted approach. We'll address each core issue (problems, failures, pain points, frictions, bottlenecks, probabilistic outcomes, fluidity, self-h…
