turns out, a lot of manual labour tasks are too complex to automate easily. even if the work is repetitive and seems like it would be simple, there’s a lot of things that you can’t just stick a robot into and have it work
computer tasks, on the other hand… it’s a lot easier, and there’s much better training data, and the stakes are theoretically (and often in practice) lower.
now, as for WHY we’re not globally prioritizing automating the dangerous stuff completely, that’d be because money, I imagine
edit: I’m referring to semi-autonomous robots here, not general automation. automation in general is still going strong, as companies love to spend a few millions dollars to automate something so they save on many more millions of labour costs in the future. customers will buy a custom machine from us for a couple million and operator costs will halve while production doubles. the remaining half of the operator costs I mentioned to towards maintenance staff, which is generally a more skilled position than assembly line work. obviously my numbers are rough, but you get the idea
There’s irony in how easy it is to automate jobs that are generally regarded as “higher ups”, more intelligent as opposed to lower-tier jobs. And those managers and executives would likely be pretty bad workers.
I used to despise the thought of AI in the workplace doing my job for me
but after seeing what apparently above-average employees output… I understand why it seems appealing
ex: sent my coworker instructions that made note of particular things, and a template file with clearly documented instructions inside the file. they used the wrong template file, not the one I explicitly sent the filepath for. they asked me to review the file. I made note of the issues that cropped up because they didn’t follow the instructions. they asked me to do a final review. I noticed that some of their fixes to my notes did the opposite of what I asked, or were just ignored. like, yeah, AI can do just as well as that. but it can’t do it properly, and that’s what we need
turns out, a lot of manual labour tasks are too complex to automate easily. even if the work is repetitive and seems like it would be simple, there’s a lot of things that you can’t just stick a robot into and have it work
computer tasks, on the other hand… it’s a lot easier, and there’s much better training data, and the stakes are theoretically (and often in practice) lower.
now, as for WHY we’re not globally prioritizing automating the dangerous stuff completely, that’d be because money, I imagine
edit: I’m referring to semi-autonomous robots here, not general automation. automation in general is still going strong, as companies love to spend a few millions dollars to automate something so they save on many more millions of labour costs in the future. customers will buy a custom machine from us for a couple million and operator costs will halve while production doubles. the remaining half of the operator costs I mentioned to towards maintenance staff, which is generally a more skilled position than assembly line work. obviously my numbers are rough, but you get the idea
There’s irony in how easy it is to automate jobs that are generally regarded as “higher ups”, more intelligent as opposed to lower-tier jobs. And those managers and executives would likely be pretty bad workers.
I used to despise the thought of AI in the workplace doing my job for me
but after seeing what apparently above-average employees output… I understand why it seems appealing
ex: sent my coworker instructions that made note of particular things, and a template file with clearly documented instructions inside the file. they used the wrong template file, not the one I explicitly sent the filepath for. they asked me to review the file. I made note of the issues that cropped up because they didn’t follow the instructions. they asked me to do a final review. I noticed that some of their fixes to my notes did the opposite of what I asked, or were just ignored. like, yeah, AI can do just as well as that. but it can’t do it properly, and that’s what we need