research note
Understanding is not the same as producing an answer
A working distinction for reading claims about intelligent systems: fluent output is evidence of capability, but not a complete account of understanding.
When a system produces a persuasive answer, several questions collapse into one. Did it reach the right conclusion? Did it use a reliable process? Does it represent what the answer means, or only reproduce the patterns that surround it?
These questions do not have to be settled all at once. Separating them already improves the inquiry. Capability can be measured in tasks. Reliability can be tested across conditions. Understanding demands a clearer account of what would count as evidence.
This note is a starting point for that separation, not a final definition.