I think this says more about the Google interview process than about ChatGPT.
That a machine learning model can "bullshit" its way through an interview that is heavily leaning on recall of memorized techniques, algorithms and "stock" problems that have solutions (of various quality) all over Internet is not exactly surprising. Machines will always be able to "cram" better than humans.
In practice these questions are almost 100% irrelevant and uncorrelated with the actual ability to do the job. Yet we are still interviewing people whether they can solve stuff at whiteboards that everyone else would rather google when they actually need it and not waste time and mental capacity memorizing it.
And at the same time we are hiring people that are completely incapable of coherent communication, can't manage to get along with colleagues or not create a toxic atmosphere in the workplace.
That a machine learning model can "bullshit" its way through an interview that is heavily leaning on recall of memorized techniques, algorithms and "stock" problems that have solutions (of various quality) all over Internet is not exactly surprising. Machines will always be able to "cram" better than humans.
In practice these questions are almost 100% irrelevant and uncorrelated with the actual ability to do the job. Yet we are still interviewing people whether they can solve stuff at whiteboards that everyone else would rather google when they actually need it and not waste time and mental capacity memorizing it.
And at the same time we are hiring people that are completely incapable of coherent communication, can't manage to get along with colleagues or not create a toxic atmosphere in the workplace.
sigh