I have some idea, yeah. Call centers employ a lot of people, as do book-keeping, HR and retail checkouts. It’s not going to code or engineer any time soon, taking a statistically decent guess at what you do, but the percentage of the non-Lemmy population that does that sort of work is tiny.
Manufacturing depends heavily on the specific job. Obviously machining is easily automated (if not the loading and maintenance of the CNC machines themselves), and basic assembly can be too, but once non-rigid or variable materials come into the picture it all gets harder, and any kind of uncontrolled environment seems to make it impossible.
Compartmentalising sensitive data isn’t too hard with AI. LLMs don’t have a memory of their own once out of training, remember. It’s just a matter of setting it up the right way.
The issue with checkouts has been theft, since they basically just trust the user to charge themselves right now. Amazon’s Just Walk Out is the technology to watch for that kind of checkout, and for anything where shoppers don’t collect items themselves LLMs can do a decent job without finetuning.
It’s not going to replace every job, not with current capabilities anyway, but enough to drive a big economic shift? Yeah, I do agree with the IMF on that.
You would be astonished how mindless many people’s jobs are. There are so many customer services reps that do a much worse job than the best LLMs today.
Anyone claiming they know the state of AI in 5 years is absurdly overconfident in their ability to make predictions. There is no way to even describe how ridiculous it is to act like you know that AI will not be useful 50 years from now. Dream on.
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No offense, but with nothing else provided I believe the IMF more about matters of global economy.
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In China where there’s a ton of manufacturing, I’d agree, but in the West there’s a lot of jobs that are surface-level natural language tasks.
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I have some idea, yeah. Call centers employ a lot of people, as do book-keeping, HR and retail checkouts. It’s not going to code or engineer any time soon, taking a statistically decent guess at what you do, but the percentage of the non-Lemmy population that does that sort of work is tiny.
Manufacturing depends heavily on the specific job. Obviously machining is easily automated (if not the loading and maintenance of the CNC machines themselves), and basic assembly can be too, but once non-rigid or variable materials come into the picture it all gets harder, and any kind of uncontrolled environment seems to make it impossible.
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Compartmentalising sensitive data isn’t too hard with AI. LLMs don’t have a memory of their own once out of training, remember. It’s just a matter of setting it up the right way.
The issue with checkouts has been theft, since they basically just trust the user to charge themselves right now. Amazon’s Just Walk Out is the technology to watch for that kind of checkout, and for anything where shoppers don’t collect items themselves LLMs can do a decent job without finetuning.
It’s not going to replace every job, not with current capabilities anyway, but enough to drive a big economic shift? Yeah, I do agree with the IMF on that.
You would be astonished how mindless many people’s jobs are. There are so many customer services reps that do a much worse job than the best LLMs today.
Anyone claiming they know the state of AI in 5 years is absurdly overconfident in their ability to make predictions. There is no way to even describe how ridiculous it is to act like you know that AI will not be useful 50 years from now. Dream on.