{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fpodcast.paiml.com%2Fepisodes%2Fwhat-i-cannot-create-i-do-not-understand-xZRoROld","width":444,"version":"1.0","type":"rich","title":"What I Cannot Create, I Do Not Understand","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/c66602cd-e6b1-4159-8e89-ae595a0d7c1b/b1e69521-4871-4413-a568-b88c49a1c684/52-weeks-aws.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/7251cec1-442c-4a16-9a1f-87bffbfce5b7\" height=\"200\" width=\"100%\" title=\"What I Cannot Create, I Do Not Understand\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"Feynman's famous blackboard contained two key insights that apply directly to learning AI: build to understand and master solved problems. At Pragmatic AI Labs, this translates to implementing core components (like token processors and embeddings) from scratch before using frameworks, and studying successful architectures to understand proven solutions. The approach emphasizes hands-on building over memorization, with students encouraged to break and rebuild systems while progressing from raw implementations to production frameworks across Python, Rust, SQL, Bash, and Zig."}