In reality, I'm a strong supporter of everything above. Maybe we can really provide people better jobs by delegating repetitive and boring things to machines and allow everyone to do something they enjoy to earn their lives.
One can dream, I guess...
https://www.google.com/search?q=amazon+raise+wages+warehouse
We are now switching over to a self optimizing system approach.
We had big data and didn't do anything with it but now whenever we do something with an LLM, we give it feedback, its getting processed benchmarked stored and used.
ChatGPT 3 was not impressive because it was good, it was impressive because it showed everyone that we started this ara now. This lead to massive reallocation of resources around the globe from a human and money perspective.
Whatever we had with ChatGPT-3 was build with humans and money significant less than what we now have. Which leads to progress unseen before and this will continue at least for now.
Machines are anything but reliable. They need constant servicing and maintenance and still break entirely
When you are not budget constrained, and building things for businesses, a little overengineering goes a long way.
I have a Xerox 7500DN color laser printer next to me, and it's working for more than 20 years at this point. It has gone through a lot of spares, but most (if not all) issues are from parts wearing down naturally. Nothing breaks unexpectedly on that. Same for robots. Give enough design budget, overengineer a little, and that thing will be one hell of an ugly but reliable machinery.
When you work with real "industrial" stuff, the landscape is very different.
Additionally, this is now a common feature in CMS space, automated translation of content and assets.
If you keep up the maintenance plan for machines they rarely break before their predicted retirement date when you replace them. And since the maintenance and retirement dates are predicted in advance you can plan for them and thus ensure they happen when you want them to.
LLM isn't going to drive a forklift; it needs more agency than a textbox in order to do that.
But it's really going to be products (ex. Microsoft Word) rather than a technology (ex. Electricity) that'll replace jobs (ex. Typists).
FWIW I design industrial equipment for meat processing plants, where you'd be lucky to get 6-7 months out of a robot arm. I wish it was affordable to use robotics there, because there's a lot that could be done to eliminate some truly awful jobs.
There are options to deal with your shitty knees, hip, and back, but none of them get you back to 100% of your original capabilities and, carry an element of gambling, and will involve the kinds of painkillers that can ruin you far more comprehensively than a shitty joint will.
High pressure hot washdown followed by cold temperatures is kind of a nightmare scenario for equipment. Also some of the plants use cleaning chemicals that will strip off paint and anodizing. The cleaning crews are poorly paid and poorly treated, so they're not going to be careful with equipment, which means you get damage to wiring and sensors from pressure washers.
On the maintenance side, technicians just have too much going on, and it's rare to find someone who has robotic-equipment-level skills. Of all the plants I've been to, I can think of only a couple that are suitable for that level of sophisticated automation. The rest would be SOL if their robot went offline, and we wouldn't be able to train them past that point.
I think for this to work, either the company running the plant needs to own the system and set up specific training and tasks to care for it, or it needs to be provided near-constant support from the manufacturer.
I think you can buy stainless robots that might be good for this sort of thing, but I've never looked into it much because we have a hard enough time supporting our much more basic products.