[–] [S] 2 points 3 days ago (1 child)

Looking at job postings and people around me, I am not too much less cynical than you. A lot of gambling, data centers, military tech, police, fossil fuel adjacent etc. companies hiring. Though it used to be realistic to be able to do something morally neutral, and have the job be at least somewhat interesting in a small scale. Like I didn't think making mobile internet 300mbps instead of 100mbps was solving any real problems 5+ years ago when I did my internship, but I don't think it was causing too many either.

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  • [–] [S] 1 point 3 days ago

    I have what is basically a data scientist job in academia for some months still (can't be extended). A friend of mine who's a chemical engineer just got laid off. In general, unemployment is high in my country right now, and it's hitting many white collar jobs at a high rate.

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  • [–] [S] 1 point 4 days ago (2 children)

    How would one measure the efficacy of two different AI generated trading regimes (or however it is they work up there) when the people who understood what they were asking can’t understand any of the code?

    Yeah this aligns with my intuition. In the things that are easy to verify (is the div centered, does the server crash) humans are quickly becoming obsolete, in the things that are difficult to verify, you still need a human to make sure the code is doing what you think it is.

    I've heard from an anquintance that their electricity pricing company just uses black box AI things for pricing. Cool, until it sells 10M worth of electricity for 500k and the grid runs out of electricity. In use cases like that, complex evaluation is required and probably can't be fully automated anytime soon.

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  • [–] [S] 14 points 5 days ago (5 children)

    The Jevons paradox point is interesting. Maybe we'll finally get better software products, so far it seems like everything is as buggy and slow as as ever.

    Even if unemployment isn't an issue, engineers would need to have the flexibility/freedom to do things by hand sometimes though I think. Go into details, understand the lower level work. Just like pilots occasionally hand-fly not to lose their skills. Otherwise, it's just too mind numbing to do long term, even if humans were involved in the big picture decisions.

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    I just finished a PhD in stats, and before that, studied computer science. I had planned to go back to industry to do software engineering or be a data scientist afterwards.

    However, it seems that in the meantime, vibe coding has taken over the software industry and swallowed most data scientist roles. Few open positions, and the ones that do exist are just pushing a button instead of thinking and solving problems. Is this a correct assessment? Should I try to get back in or just find a new career? I am not too keen on staying in academia either.

     

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