Submitted by pawnh4 t3_zd9zm5 in deeplearning
It seems like understanding the technicalities of the thing that will replace jobs is smart because the need for this will persist for a long time.
Comments
XecutionStyle t1_iz0uwak wrote
It's hard to predict exactly, and requires one of two things:
a) Full-time research on new methods
b) Be the one with the breakthroughs
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B) is hard and A) nobody I know pays for.
We're confined to jobs related to research or applying said research.
chengstark t1_iz18t86 wrote
No, you’d be surprised how capable models will be and how stubborn humans ate.
BrotherAmazing t1_iz1xhsn wrote
IMO you should ideally go into a field that has at least some job opportunities (if you want to be a “dog psychologist”, you need a backup plan with that small of a market!), but you should focus on fields you are good at and that captivate you.
You don’t want to make an economic blunder and pay for a massive tuition bill and find out there are no jobs in that field, but a talented, motivated, and ambitious landscaper is going to be happier and have more opportunities in landscaping than someone whose heart wasn’t in AI/ML, or whose heart was in it but they just aren’t good at it, and they pushed through to get a degree in it just because “that job market is strong and should continue to be”.
I review resumes and do interviews with AI/ML candidates for positions, and I don’t care what degree they have, or how desperate we are for talent, if it’s clear they aren’t that good or aren’t that into their field, no job.
PowerfulCar7988 t1_iz2ywyc wrote
There comes a point where too much automation hurts businesses as the number of people who don’t have jobs don’t have money. As a consequence businesses cannot make money.
The concept that one can truly be independent is flawed. The well being of one depends on the other and businesses are not exempt from this. This does not mean they cannot exploit but there is a limit.
What I’m trying to say is just pick a field that you like and one that is in demand.
Key-Sail t1_iz0oqcf wrote
Your career in ML would only be safe if you were at the top of your field. Everything else in ML is a form of software engineering to implement methods or build data pipelines. Those jobs are no more safe than any other software engineering job.
The only way to really future proof is to be an owner, own lots of revenue generating assets. When the AI comes you replace your workers with AI and you keep making money. Yes I know how that sounds… I don’t like it, but that’s what it looks like the future is going to be.