Researcher outlines path toward unified theory of deep learning

Jamie Simon published a paper arguing that a comprehensive scientific theory of deep learning is achievable, moving beyond empirical trial-and-error toward first-principles understanding. For indie makers building with LLMs and neural networks, this signals potential breakthroughs in predictability and efficiency—though the theory itself remains in early stages.