[-] LenielJerron@lemmy.world 7 points 15 hours ago

Yes, my bad, I get all the TLAs mixed up.

[-] LenielJerron@lemmy.world 21 points 16 hours ago* (last edited 15 hours ago)

When I was in undergrad I did debate, and a term that was used to describe the debate topics was "a solution in need of a problem". I think that that very often characterizes the tech industry as a whole.

There is legitimately interesting math going on behind the scenes with AI, and it has a number of legitimate, if specialized, use-cases - sifting through large amounts of data, etc. However, if you're an AI company, there's more money to be made marketing to the general public and trying to sell AI to everyone on everything, rather than keeping it within its lane and letting it do the thing that it does well, well.

Even something like blockchain and cryptocurrency is built on top of somewhat novel and interesting math. What makes it a scam isn't the underlying technology, but rather the speculation bubbles that pop up around it, and the fact that the technology isn't being used for applications other than pushing a ponzi scheme.

For my own opinions - I don't really have anything I don't say out loud, but I definitely have some unorthodox opinions.

  • I think that the ultra-convenient mobile telephone, always on your person at all times, has been a net detriment societally speaking. That is to say, the average iPhone user would be living a happier, more fulfilling, more authentic life if iPhones had not become massively popular. Modern tech too often substitutes genuine real-in-person interactions for online interactions that only approximate it. The instant gratification of always having access to all these opinions at all times has created addictions to social media that are harder to quit than cocaine (source: I have a friend who successfully quit cocaine, and she said that she could never quit instagram). The constantly-on GPS results in people not knowing how to navigate their own towns; if you automate something without learning how to do it, you will never learn how to do it. While that's fine most of the time, there are emergency situations where it just results in people being generally less competent than they otherwise would have been.

  • For the same reason, I don't like using IDEs. For example when I code in java, the ritual of typing "import javafx.application.Application;" or whatever helps make me consciously aware that I'm using that specific package, and gets me in the headspace. Plus, being constantly reminded of what every single little thing does makes it much easier for me at least to read and parse code quickly. (But I also haven't done extensive coding since I was in undergrad).

  • Microsoft Office Excel needs to remove February 29th 1900. I get that they have it so that it's backwards compatible with some archaic software from the 1990s; it's an annoying pet peeve.

  • Technology is not the solution to every problem, and technology can make things worse as much as it can make things better. Society seems to have a cult around technological progress, where any new tech is intrinsically a net good for society, and where given any problem the first attempted solution should be a technological one. But for example things like the hyperloop and tesla self-driving cars and so forth are just new modern technology that doesn't come anywhere near as close to solving transportation problems as just implementing a robust public transit network with tech that's existed for 200 years (trains, trolleys, busses) would.

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submitted 17 hours ago* (last edited 17 hours ago) by LenielJerron@lemmy.world to c/asklemmy@lemmy.world

Hi,

I'm a second-year PhD student in mathematics at a large university in the US. I really like the research group that I'll be working with; my advisor is great. The issue is, we have strict requirements for quals, and I'm teetering right on the edge of being forced out of the program. I have two more attempts, but afterwards, that's it. And I'm also really bad at the whole test-taking thing, so I don't like my odds.

So, as a young person with an MS in mathematics, what exactly would the options be for me outside of academia? If I flunk out, I want to have some idea in mind for what I can do. My interests in math have always tended towards the more abstract (functional analysis and dynamical systems); it's the quals in either PDEs or numerical analysis (the applied subjects) that are messing me up.

My PhD is stressful and anxiety-inducing, but at least it gives me purpose and direction in life. This time last year after I failed first year PDEs I wound up in a psychiatric ward. So, I want to know what possible options there are so that I don't end up in the same situation. I have issues with a lot of the "standard" options for industry mathematicians though:

  • I utterly despise programming. I can not think of a more miserable, dreary existence than becoming a professional programmer, or working in the tech industry and having to code regularly. I know how to do it. I'm doing as much as I need to to study numerical analysis to get that qual over with so I can go on to things in math that I want to do; and in undergrad I double majored in math and CS. But I just can't do it 8 hours a day every day for the rest of my life, and this is a lot of what people recommend.

  • I don't want to work in one of those white-collar banking stock brokering environments. From undergrad I know the sorts of people that those places are filled with, and they are not really people that I've ever been able to get along with. Even teaching "math for business majors" my students made me feel uncomfortable at times. (Plus, there are people with specialized degrees in these fields who would be better for them; plus, again, those jobs seem to be coding and solving PDEs). In particular I've been personally fucked over by the insurance industry enough that I will never work there.

  • I could try to go into teaching I suppose. I've quite enjoyed it, and I get good reviews. But, aside from my TA duties here, I have no formal qualifications. My understanding is that most places require an advanced degree specific to teaching in order to be a teacher, and I don't think I can put myself through more years of graduate school coursework just to go for my consolation-prize career.

  • I can't easily fall back on my family for support. We are not on speaking terms.

It's an absolute long-shot, but are there any careers that feel like the research part of grad school, but without the stuff that's miserable about it (the coursework and bureaucracy)? Money is not an issue for me at all. If I can get over the hurdle of early-on coursework and quals, I will live a far more fulfilling life in grad school making 19k/year than I would as a wall-street tech CEO investor. But that's far from a guarantee at this point, and I just don't even know where to begin looking for any jobs at all I would want to do outside of academia.

LenielJerron

joined 17 hours ago