The document discusses how machine learning models are learning to code and what this means. It explains that AI systems are not autonomously programming themselves, but can generate code when given valid user prompts that are encoded as vectors. The models divide problems into sub-parts, encode meanings in latent spaces, and decode outputs based on context. While AI may assist programmers, humans are still needed to correctly prompt models, check code validity, and explore new domains. The document lists some open-source and paid AI programming tools and encourages trying them.