Experiments

Open questions, easier to ask than to answer.
  1. Can an AI system know when it is wrong?

    Exploring whether uncertainty can become a useful part of system behavior rather than a number hidden behind the interface.

    Experiment
    001
    Status
    Open question
  2. What happens when context becomes incomplete?

    Removing pieces of the context a task depends on, one at a time, and watching where answers stay steady and where they quietly drift.

    Experiment
    002
    Status
    Open question
  3. Can verification become part of generation itself?

    Asking whether a system can check each step as it works, instead of handing a finished answer to a separate reviewer.

    Experiment
    003
    Status
    Open question