The article also provides several examples of prompts and their corresponding completions by Codex. These examples range from simple tasks like replacing a string in a file to more complex ones like checking if a prime number is the sum of two squares. However, the author also points out that the results can sometimes be naive or incorrect if the input is not properly defined, emphasizing the importance of clear and accurate prompts.
Key takeaways:
- OpenAI Codex is designed to solve the XY problem by providing direct solutions to coding problems without questioning the user's intent or understanding.
- Codex is designed to do exactly what you want with no judgment, and it doesn't waste time on explanations or worry about the feasibility of the solution.
- The article provides several examples of prompts and their completions by Codex, showing how it can handle a variety of coding tasks.
- However, the results from Codex can sometimes be naive or incorrect if the prompt is not clear or specific enough, emphasizing the importance of precise input for accurate output.