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The AI Model Distillation Paradox

Debate is growing around the so-called model distillation paradox in artificial intelligence: the tension between large AI companies protecting their proprietary models and the fact that smaller developers can train new systems by learning from a leading model's outputs. Distillation, a standard technique for compressing AI models, raises questions about intellectual property, competition and how quickly frontier capabilities spread across the industry.

Why now: Ongoing arguments over AI intellectual property, competition and how easily frontier model capabilities can be copied.

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