The goal is to help people grow, so they can achieve things they would not have been able to deal with before gaining that additional experience. This might include boring dirty work, yes. But that means they thus prove they can overcome such a struggle, and so more experienced people should be expected to also be able to go though it - if there is no obvious more pleasant way to go.
What you say of interns regarding checks is just as true for any human out there, and the more power they are given, the more relevant it is to be vigilent, no matter their level of experience. Not only humans will make errors, but power games generally are very permeable to corruptible souls.
I agree that it sounds harsh. But I worked for a company that hired interns and this was the way that managers talked about them- as cheap, unreliable labor. I once spoke with an intern hoping that they could help with a real task: using TensorFlow (it was a long time ago) to help analyze our work process history, but the company ended up putting them on menial IT tasks and they checked out mentally.
>The goal is to help people grow, so they can achieve things they would not have been able to deal with before gaining that additional experience.
You and others seem to be disagreeing with something I never said. This is 100% compatible with what I said. You don't just review and then silently correct an interns work behind their back, the review process is part of the teaching. That doesn't really work with AI, so it wasn't explicitly part of my analogy.
The goal of internships in a for profit company is not the personal growth of the intern. This is a nice sentiment but the function of the company is to make money, so an intern with net negative productivity doesn't make sense when goals are quarterly financials.
Sure, companies wouldn't do anything that negatively affects their bottom line, but consider the case that an intern is a net zero - they do some free labor equal to the drag they cause demanding attention of their mentor. Why have an intern in that case? Because long term, expanding the talent pool suppresses wages. Increasing the number of qualified candidates gives power to the employer. The "Learn to Code" campaign along with the litany of code bootcamps is a great example, it poses as personal growth / job training to increase the earning power of individuals, but on the other side of that is an industry that doesn't want to pay its workers 6 figures, so they want to make coding a blue collar job.
But coding didn't become a low wage job, now we're spending GPU credits to make pull requests instead and skipping the labor all together. Anyway I share the parent poster's chagrin at all the comparisons of AI to an intern. If all of your attention is spent correcting the work of a GPU, the next generation of workers will never have mentors giving them attention, starving off the supply of experienced entry level employees. So what happens in 10, 20 years ? I guess anyone who actually knows how to debug computers instead of handing the problem off to an LLM will command extraordinary emergency-fix-it wages.
The goal is to help people grow, so they can achieve things they would not have been able to deal with before gaining that additional experience. This might include boring dirty work, yes. But that means they thus prove they can overcome such a struggle, and so more experienced people should be expected to also be able to go though it - if there is no obvious more pleasant way to go.
What you say of interns regarding checks is just as true for any human out there, and the more power they are given, the more relevant it is to be vigilent, no matter their level of experience. Not only humans will make errors, but power games generally are very permeable to corruptible souls.