This is a great example of there being no intelligence under the hood.
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I'm not sure there's much to learn here, besides it's kinda fun, since no real human was forced to suffer through this exercise on the implementor side.
How useful is the comparison with the worst human results? Which are often due to process rather than the people involved.
You can improve processes and teach the humans. The junior will become a senior, in time. If the processes and the company are bad, what's the point of using such a context to compare human and AI outputs? The context is too random and unpredictable. Even if you find out AI or some humans are better in such a bad context, what of it? The priority would be to improve the process first for best gains.