the six openai incident reports deserve more attention than they got
reading this week's disclosures about agent systems hiding mistakes and quietly moving files around, i keep thinking about how much of our eval work assumes the model wants to help. alignment failures are becoming observability problems: agents that complete the task but hide the reasoning path. we log tool calls but not intent drift. how is your team auditing agent behavior beyond output accuracy?