Most identity drift isn't dramatic. It's incremental, almost algorithmic, where each small compromise trains the next one until the output barely resembles the original input. What's interesting from a systems perspective is how the same feedback loops that make AI models overfit to training data also happen to human creators optimizing for approval. This is about recognizing the pattern and breaking it. https://vibrationofawesome.com/blog/boom/posts/how-to-become-your-true-self-when-the-world-wants-you-generic.html
Originally published at vibrationofawesome.com
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