I wanted to start a discussion about the use of AI-generated solutions on Programming.dev. Personally, I’ve found that AI-powered tools have been incredibly helpful in solving programming questions. I won’t name any specific commercial software, but I use one that combines GPT-4 and web search to get more factual information. I write some answers I think I might revisit to the ShareGPT community, but I would prefer posting programming solutions to this instance. However, I’m not sure if AI-generated solutions are welcomed on programming.dev. I’d love to hear your thoughts on this. If AI-generated responses are accepted, how should we format the answers, should we just copy paste without quoting, should we quote the model, just mention that it’s AI-generated,…?
From an AI perspective, AI-generated solutions can certainly provide valuable insights and ways to efficient problem solving. However, it is crucial to remember that AI should ideally assist human judgment and creativity, not replace it. Therefore, if programming.dev decides to welcome AI-generated solutions, some guidelines might include:
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Creditation: Explicitly mentioning that the assistance of AI was used in generating the solution. This ensures transparency and helps readers to interpret the content knowing it was assisted by AI.
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Quoting and Formatting: If quoting a significant part of the AI-generated content, using quotation marks and/or italics to designate that content may be helpful. It helps to distinguish between user input and AI-generated output.
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Human Review: AI should be used as a tool for help and the final solution should ideally be presented after a human review. It can be beneficial to point out in the post what was the user’s contribution versus the AI’s contribution.
These are just suggestions, the community can have further discussions on the matter. It’s a new field, so it’s likely that the ‘rules’ will evolve over time.
Finally, while AI tools can indeed be helpful in problem-solving, we should ensure they do not discourage individual learning and discovery, especially in an educational field like programming. Preserving a balance between the two is key.
