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• 1 year - 82 posts - Latest - RSS
• Thread: 142 Goods vs 28 No Goods

1. Economist
   f3ef
   

   Up until about the late 20s, I did very few things wrong or made any decisions that I would change much now.

   However, since that time, I have rapidly started making quite a lot miscalculations, especially in terms of career moves. I am now pretty unhappy with my situation, though it is not too bad and it can get and most likely will get worse (and fairly soon). Moreover, the bad decisions is stuff that undermines a lot of sustained effort, so I feel pretty spiteful and futile. I have made at least 3 major decisions over the last few years that I would definitely change if I could, and now my life is getting quite unpleasant.

   Anyone else feels like this and what are your thoughts?

   1 year ago # QUOTE 11 Volod 0 Vlad !

2. Economist
   f41f
   

   Unfortunately, the clock is ticking, the hours are going by. The past increases, the future recedes. Possibilities decreasing, regrets mounting.

   Do you understand?
   ▢ I understand.
   ▢ Remain ignoränt.

   1 year ago # QUOTE 7 Volod 1 Vlad !

3. Economist
   84d0
   

   haha exact same thoughts here. had great options a few years ago, now i'm stuck on a sinking ship.

   1 year ago # QUOTE 3 Volod 0 Vlad !

4. Economist
   1921
   

   I don't know anyone who doesn't have some serious regrets with decisions that they made in their 20s.

   1 year ago # QUOTE 8 Volod 1 Vlad !

5. Economist
   6648
   

   haha exact same thoughts here. had great options a few years ago, now i'm stuck on a sinking ship.

   What do you guys do?

   1 year ago # QUOTE 1 Volod 1 Vlad !

6. Economist
   f3ef
   

   Unfortunately, the clock is ticking, the hours are going by. The past increases, the future recedes. Possibilities decreasing, regrets mounting.

   I think the shocking part is how sudden the change is, from making all the broadly correct or inconsequential decisions to so many blunders with long-reaching consequences within a fairly short span of time.

   1 year ago # QUOTE 5 Volod 0 Vlad !

7. Economist
   84d0
   

   math/stats tech bro, somewhat known expert in time series. a few years ago a lot of places wanted my background specifically, now nobody wants me. truth is the world has dramatically changed in last 3 years (have some thoughts on why).

   1 year ago # QUOTE 4 Volod 0 Vlad !

8. Economist
   6648
   

   math/stats tech bro, somewhat known expert in time series. a few years ago a lot of places wanted my background specifically, now nobody wants me. truth is the world has dramatically changed in last 3 years (have some thoughts on why).

   Please elaborate? Still today I thought stats skills are in high demand

   1 year ago # QUOTE 2 Volod 1 Vlad !

9. Economist
   84d0
   

   they are but they are commoditized now. back then you had to hire me to do it, now anyone can do it, and there is much less interest in state of the art methods in general.

   1 year ago # QUOTE 9 Volod 0 Vlad !

10. Economist
    060f
    

    they are but they are commoditized now. back then you had to hire me to do it, now anyone can do it, and there is much less interest in state of the art methods in general.

    Yup. You have to capitalize when the demand is hot and then gain a new skill. So like time series + domain knowledge, in fiancé your raw technical skill depreciates extremely fast as everyone else learns it

    1 year ago # QUOTE 6 Volod 0 Vlad !

11. Economist
    73b3
    

    This is something I have experienced recently also. Early 30’s here. What I’ve started to realize is that the world is rapidly changing, and I’ve been using old strategies and ways of thinking that just don’t work any more. The past is done, but if you can try to understand why you made the decisions you did there may be a chance to alter course.

    1 year ago # QUOTE 8 Volod 0 Vlad !

12. Economist
    ca83
    

    Sounds like the realization most come to when they jumped into a PhD without due diligence for career outcomes.

    1 year ago # QUOTE 1 Volod 2 Vlad !

13. Economist
    48fc
    

    Welcome to midlife guys.

    Another day, another chance to get it right.

    Don't beat yourself up, we're all just monkeys on a piece of rock.

    1 year ago # QUOTE 9 Volod 0 Vlad !

14. Economist
    84d0
    

    people have realized that the cutting edge ml/stats methods don't offer that much over simple things except in niche situations, and everyone knows the simple stuff. it's all about software engineering now and building data pipelines, not so much advanced ml, even in the big firms.

    1 year ago # QUOTE 5 Volod 0 Vlad !

15. Economist
    0872
    

    people have realized that the cutting edge ml/stats methods don't offer that much over simple things except in niche situations, and everyone knows the simple stuff. it's all about software engineering now and building data pipelines, not so much advanced ml, even in the big firms.

    Yes, but the software done well is more valuable now than ever. People somehow still can’t get this in their head.

    1 year ago # QUOTE 1 Volod 0 Vlad !

16. Economist
    84d0
    

    i don't know if even that is true though. fb and amzn have notoriously poor codebases, just great business models around software.

    1 year ago # QUOTE 4 Volod 0 Vlad !

17. Economist
    aa98
    

    i don't know if even that is true though. fb and amzn have notoriously poor codebases, just great business models around software.

    No way, compared to other large companies, they are light years ahead. Source is I work at one of them. It’s honestly shocking how much better their software is.

    1 year ago # QUOTE 0 Volod 0 Vlad !

18. Economist
    84d0
    

    that's a very low bar to begin with though. maybe only g has good code consistently.

    1 year ago # QUOTE 0 Volod 0 Vlad !

19. Economist
    a376
    

    this thread: a bunch of whiny care//er/ists contemplate why they're not happy. what a sad thread. You guys are obviously all vi/r/gins checking your linkedin in like every 10 minutes.

    1 year ago # QUOTE 1 Volod 7 Vlad !

20. Economist
    a376
    

    advanced ml? LOL please. It is not advanced. It is very silly. Traditional stats is much more difficult than ML. The reason why they're ditching ML is becacuse the guys that are in charge of the data pipelines don't know math or stats. ML's popularity is due to the fact that it relies on non parametric techniques. It's basically like magic for IT guys. But now it's clear it doesn't really work, so they're lost and will just go back to the old ways. I suspect data visualisation will now replace ML.

    people have realized that the cutting edge ml/stats methods don't offer that much over simple things except in niche situations, and everyone knows the simple stuff. it's all about software engineering now and building data pipelines, not so much advanced ml, even in the big firms.

    1 year ago # QUOTE 1 Volod 1 Vlad !

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