Yes I agree - I really meant it doesn't directly learn from your interaction (i.e. it forgets you spoke as soon as you close the session, and only learns indirectly through the next training run - your words do not affect it's internal representation in real time like humans). The learning appears to require more information than humans too, who can do 'more with less'.

You are right that it clearly can learn though, the learnings are just baked-in with each cycle.