No One Knows How AI Works

The complexity of neural networks, or AI, continues to baffle researchers, making them 'black boxes' whose inner workings remain largely undeciphered. Despite their powerful applications in various fields, we only have a rudimentary understanding of how they achieve their tasks. Researchers in mechanistic interpretability aim to unravel these mysteries, but their efforts are underfunded compared to the enormous sums invested in expanding and complicating AI systems. This highlights a crucial trade-off between utility and comprehensibility, raising concerns about the wisdom in our current AI advancements.