The code was non trivial and relatively sophisticated. It performed statistical analysis on ingested data and the approach taken was statistically sound.
I was replaced by that. So was my colleague.
The job market is exceptionally tough right now and a large part of that is certainly llms.
I think taking people with statistical training out of the equation is quite dangerous, but it’s happening. In my area, everybody doing applied mathematics, statistics or analysis has been laid off.
In saying that, the produced program was quite good.
My last employer had many internal tools that were fine.
They had only a moderate amount of oversight.
I had to find a new job, I’m actually thinking of walking away from software development now that there are so few jobs :(
It sucks but there’s no sense pretending this won’t have a large impact on the job landscape.
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Mostly internal data cleaning stuff, close etc, which I accept is less in scope than you’re original comment.
The things you are describing sound like if-statement levels of automation, GitHub Actions with preprogrammed responses rather than LLM whatever.
If you’re worrying about being replaced by that… Go find the code, read it, and feel better.
The code was non trivial and relatively sophisticated. It performed statistical analysis on ingested data and the approach taken was statistically sound.
I was replaced by that. So was my colleague.
The job market is exceptionally tough right now and a large part of that is certainly llms.
I think taking people with statistical training out of the equation is quite dangerous, but it’s happening. In my area, everybody doing applied mathematics, statistics or analysis has been laid off.
In saying that, the produced program was quite good.
Certainly sounds more interesting than my original read of it! Sorry about that, I was grumpy.
All good man.
I think the point is that LLMs can replace people and they are quite good.
But they absolutely shouldn’t replace people, yet, or possibly ever.
But that’s what’s happening and it’s a massive problem because it’s leading to mediocre code in important spaces.