Researcher compresses recipe dataset to 2MB, explores AI training limits

Josef Chen built a minimal recipe corpus that captures cooking fundamentals in just 2 megabytes—a constraint-driven exercise in data efficiency. For indie makers working with language models or cooking-related apps, this work hints at how much signal can survive aggressive compression, useful for those building on resource-limited infrastructure.