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Hey @Sean! Love the question with the hot take 🌶️ 😉 I disagree MASSIVELY with that statement - it’s a misconception. We actually work with models that are retrained and deployed daily and they STILL have issues that are caught 😄 Even if models are deployed regularly, they can still have data quality issues in their feature pipeline that feed the model and ultimately cause worse model outcomes.