Honestly, this might even make support much easier to interact with. If you can filter this stuff you could probably have a much better support experience. ChatGPT has proved this to be true. I cannot tell you how many times I've used support and the person is some entry level tech who has no idea.
Yes, roughly all the times. every single time. As far as I can tell, most “first line of support” reps are empowered to read you FAQs, and to maybe perform actions you are better able to do yourself online. If like me, the caller is only calling as a last resort after figuring out the task is impossible online, they just repeat a FAQ or tell them misleading garbage information, blame a third party, or transfer them in circles.
Oddly, the “social media support” reps that cell phone companies have that you can message on Messenger or Twitter DMs are 10x as competent as the phone people, with the bonus that you can work through the problem asynchronously, which is a godsend for busy people.
I've found social media a mix. There are people who seem really interested in making stuff happen and there are people who are surprised you expect anything more than sympathetic cooing noises.
Imagine for a second, that there is actually a LLM agent that can not only understand what you want but actually do things too. Like, why not have these systems reset passwords, check on the status of a refund, update a mailing address, change billing info, cancel your account, email me some documents, etc. This frees up people to actually work on more important things. The hardest part of all this pre-ChatGPT was understanding fully what the person wanted. That's petty much solved now.
I think we're headed to a future where you'll actually want an LLM agent vs a human in that they will know everything and can solve your issue in seconds. It's like when you win the lottery and get the support person who's been at the company 15 years and knows everything in and out. That's what these LLM's can be.
Outside of this, even using for “summarizing” documents, you are lucky if it doesn’t distort or twist meanings such that it isn’t useful, except now you have spent as much or more time checking it’s work than just doing it yourself. Checking others’ work is much harder than writing it.
Every time I’ve attempted to ask it something I can’t answer myself or through immediate googling it has been completely useless.
I’m unconvinced that it isn’t just developers with a poor eye for nuance who aren’t realising how much information they are giving in the questions who rave about it. Horses can count, if you give enough context.
It seems to be generally good at novelty style transfers.
> It's like when you win the lottery and get the support person who's been at the company 15 years and knows everything in and out. That's what these LLM's can be.
This is pure fantasy, extrapolating what you want to see into an arbitrary future where it’s true. More likely it gaslights the customer onto thinking problems are their fault until they give up, but this scenario is mildly cheaper for the companies who don’t need to pay humans to do the runaround.
I trust exactly 0 output from any LLM. The problem with any of this sort of generative AI is that there's nothing that stops it from hallucinating facts and spewing those with a confident tone. Until we can figure out the trust and validation step, none of it is truly helpful.
I'm not a luddite, I just find these tools to be woefully lacking. Anything they can do takes me more time to validate than just doing it myself.
Massive upside for some things, neutral for other things. That's net positive.
Have you ever sat in a customer service chat with someone who wasn't very helpful and very slow sat the same time?
There were probably handling several other chats at the same time.
Why shouldn't we replace those interactions with an AI that is fast and infinitely patient and friendly?
I am willing to be convinced otherwise, but I don't see how fighting technological progress that is net positive for almost everyone is productive here.
And if you check the requirements using something deterministic (last order was within last 2 weeks, customer has a high loyalty points score, they're subscribed to some premium service) then why do you need an agent at all? The real point of the agent when it comes to something like that is reducing churn by making the process harder. The LLM isn't working for you, just like the human agent isn't working for you.
I do think this sort of thing could be good for digging up information though, as technical support before you get to a technician, could be good. Probably less aggravating than "Before we connect you, please turn on and off the rout-... you pressed 1, that is an invalid option. Before we connect you, please turn..."
Don't see why those can't be automated.
Eventually I don't see why an AI shouldn't process refunds. Its an infinitely measurable process and you always know the risk involved (the amount). So it's trivial to decide if you think the AI should handle it or send it off to a human for approval. I would not be surprised if there were already companies experimenting with stuff like this. Widespread adoption will probably take time.
Until shit improves, I will be bashing on those and prefer companies that allow me to get human interaction asap.
For instance, in your case, the rep probably knew that the part cost a couple bucks and the postage cost a buck or two, so a three dollar expense was deemed well worth it for goodwill.
This is the kind of thing that a bot would be just as good at, and it’s also a thing that does not automatically happen just because the agents are humans. Some companies would fire the human rep for giving you that freebie.
Honestly, the real reason why bots will be a good thing is that 3/4 of customer service calls come from confused people who really just need handholding. Setting the jobs issue aside, which is going to be a much bigger question across humanity, eventually I’d like to see bots handle that 3/4 of calls. Half the customer service staff could be retained and deployed exclusively to handle the issues actually worth their time.
I used to work in the industry and my experience had been that companies who don't care about customer service will have shitty customer service, bots or not. The opposite is true as well.
I have seen simple request bounce between up to 15 customer service reps without the end user getting what they wanted. On the contrary I think some of the best customer service is when there is no need for customer service at all.
Would definitely depend what you're phoning in for, though. Going through some common process, digging up information, or needing a special exception to be made?
In a just world, the profits and cost savings captured by AI and automation would go to the displaced workers rather than the owners and customers, but that's politically impossible at least in the USA.
Not far from now even intellectual jobs will be a.i.
post scarcity star Trek civilization is very possible if we stop letting greed control us.
disclaimer : I run an ai automation agency, and support the fight against poverty and for universal healthcare and stuff, but the faster we automate the faster the govt is forced to roll out solutions to fix the problems automation creates.
If you’re actively replacing people’s jobs rather than helping people… well, you’ve got to look at yourself in the mirror every night.
Milk men, computers (the people kind), horse carriage chauffeurs, people who light lamp posts (when they were oil based) we could go on here.
You are clearly coming from empathic place, but I am not sure your premise is nuanced enough. Lots of progress has "victims" but that doesn't necessarily make progress had.
The key bit of information I’m missing is where did those milk men, carriage chauffeurs, lamp lighters, whatever go and how did they get there after they were rendered useless .
Did they retrain for new careers? If so how did they afford the education/retraining necessary. How did they pay their rent/mortgage/etc. in the time in between it took them to do that? What are the new jobs that are going to be created after sweeping automation in service and knowledge industries?
I can think of a few jobs that probably won’t see automation anytime soon, but a lot of them are crap, or would result in a major quality of life degradation. I remember years before ChatGPT reading a lot of speculation on automation and what potential careers could survive in the face of some AI or robotics revolution and the jobs people considered safe from automation were things like caregiver. Just a quick google search shows the pay range for that job near starting at minimum wage.
Genuine question, I really don’t know. Personally I’d love to leave the software industry, but I don’t have any realistic alternative. Rent keeps getting more expensive, never less and the jobs that pay enough to keep up require expensive credentials that don’t only require a lot of money, but a lot of time as well.
I probably should read up on the history of this sort of stuff, but I take a look at places like the rust belt and it seems like the next career for a lot of the people in blue collar work that was moved or automated was “opioid addict”. Personally if I lose everything and am forced out on the street because I’m obsolete, I don’t give a flying shit what kind of new jobs there are, because they’ll be inaccessible to me.
Surely there will be cases where those that are replaced are unable to find work, but I am willing to bet that
1. Those cases are somewhat rare
2. They "make sense" (e.g. close to retirement anyway)
The common case is just to get a new job. Maybe the new job is not as good, maybe it is actually better in the long run.
There are plenty of jobs to go around these days. Unemployment is very low.
If I were to give advice I would personally tell people to stop looking for work that is "safe from automation" because over a long horizon very little is safe. Figure out how to work with the technology instead. Don't need to code there are lots of other ways to contribute.
I can't honestly say any project I have worked with have increased efficiency.
All jobs should be done by machines.
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