Research
The distillation panic
The article discusses concerns about the widespread use of knowledge distillation in AI development, where larger models' outputs are used to train smaller models, potentially creating a cycle of degr
The article discusses concerns about the widespread use of knowledge distillation in AI development, where larger models' outputs are used to train smaller models, potentially creating a cycle of degradation if distilled models are used to train future generations. This raises questions about the sustainability and quality of AI training data pipelines when relying heavily on distilled outputs rather than original sources.
Source: Interconnects | 2026-05-04