> Also, it cannot self reflect.

In-context learning is a kind of reflection. If the model can learn a new task on the spot, and apply it to new data correctly, it shows that it can think about what algorithm was necessary (abductive reasoning - what's the explanation of those examples?) then apply this same transform to new data.

Another self reflection pattern is when it refuses to answer based on its code of conduct. Clearly keeps a watching eye on what it is about to say.