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A recent discussion on Reddit’s r/Artificial Intelligence suggests that disciplined and rigorous training methods are crucial for developing effective AI models. The online debate centers around the idea that a lax approach to training may lead to suboptimal performance, potentially resulting in ‘spoiled’ or underperforming AI. This conversation underscores the critical importance of exploring and establishing robust best practices within the AI development community to ensure the creation of high-quality, reliable models. The discussion was sparked by a post located here: [Reddit Post: https://old.reddit.com/r/Artificial/comments/1lqqwlb/spare_the_rod_spoil_the_model/]