Summary:
- The article provides a deep dive into the history and development of OpenAI’s Codex, the underlying model that powered GitHub Copilot.
- It explores the shift from large language models being research curiosities to becoming practical, commercially viable tools for software engineering.
- The piece highlights the technical evolution of training data, the role of Transformer architectures, and the strategic decisions made to transition AI from text generation to code synthesis.