Why Distillation is a Trap: Amplifying Flaws and Always Lagging Behind
flowersslop · x · 2026-08-09
A developer highlights two major flaws in relying on distillation for AI models. First, frontier labs like OpenAI already have next-generation models in the pipeline, meaning those who depend on distillation will always be technologically behind.
Second, training on AI-generated images amplifies existing model flaws. These images are easier to learn from, leading to severe overfitting. The discussion notes that Grok 2's image generation looks suspiciously like ChatGPT's, proving that blind distillation copies not only capabilities but also inherent issues and UX flaws.
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