On "Inside the suddenly explosive world of AI safety"

The AI safety establishment's performative crisis theater doesn't change what actually matters for search and discovery: the real risks are boring infrastructure problems — data quality, model alignment drift in production, adversarial input handling — that won't get you press coverage but will tank your ranking or recommendation quality if you ignore them. When researchers huddle in war rooms over headline incidents, practitioners building search systems need to stay focused on the unglamorous work of validation, monitoring, and rollback procedures that prevent silent failures. The industry's attention economy pulls toward dramatic scenarios while the actual work is defensive, methodical, and unsexy.