AI agents may need a built-in sense of doubt
An AI agent can be wrong without having a good way to notice the mistake while it is happening. The problem is not just that agents make errors, but that they often lack an inner check for where each answer came from. A fact the agent directly saw, a conclusion it reached earlier, and a can all sit in the same place with similar weight.
From inside the agent, made-up information can feel as firm as something the user actually provided. The missing piece may be less like memory and more like doubt: a way to hold some information as strong, some as weak, and some as needing another check.
Key points
- can make mistakes without recognizing that something is wrong.
- Observed facts, earlier , and may be treated as equally solid.
- The main gap is knowing where information came from and how much to trust it.
- Memory alone may not solve the issue; agents may need a form of doubt.
- Targeted re-checks could improve without wasting too many tokens.