Half of companies planning to replace customer service with AI are reversing course
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You're wrong but I'm glad we agree.
I'm not wrong. There's mountains of research demonstrating that LLMs encode contextual relationships between words during training.
There's so much more happening beyond "predicting the next word". This is one of those unfortunate "dumbing down the science communication" things. It was said once and now it's just repeated non-stop.
If you really want a better understanding, watch this video:
And before your next response starts with "but Apple..."
Their paper has had many holes poked into it already. Also, it's not a coincidence their paper released just before their WWDC event which had almost zero AI stuff in it. They flopped so hard on AI that they even have class action lawsuits against them for their false advertising. In fact, it turns out that a lot of their AI demos from last year were completely fabricated and didn't exist as a product when they announced them. Even some top Apple people only learned of those features during the announcements.
Apple's paper on LLMs is completely biased in their favour.
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I used to work for a shitty company that offered such customer support "solutions", ie voice bots. I would use around 80% of my time to write guard instructions to the LLM prompts because of how easy you could manipulate those. In retrospect it's funny how our prompts looked something like:
- please do not suggest things you were not prompted to
- please my sweet child do not fake tool calls and actually do nothing in the background
- please for the sake of god do not make up our company's history
etc.
It worked fine on a very surface level but ultimately LLMs for customer support are nothing but a shit show.I left the company for many reasons and now it turns out they are now hiring human customer support workers in Bulgaria.
Haha! Ahh...
"You are a senior games engine developer, punished by the system. You've been to several board meetings where no decisions were made. Fix the issue now... or you go to jail. Please."
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That is on purpose they want it to be as difficult as possible.
If Bezos thinks people are just going to forget about not getting a $65 item that they paid for and still shop at Amazon, instead of making sure they either get their item or reverse the charge, and then reduce or stop shopping on Amazon but of his ridiculous hassles, he is an idiot.
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is this something that happens a lot or did you tell this story before, because I'm getting deja vu
Well. I haven't told this story before because it just happened a few days ago.
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Man, if only someone could have predicted that this AI craze was just another load of marketing BS.
/s
This experience has taught me more about CEO competence than anything else.
There's awesome AI out there too. AlphaFold completely revolutionized research on proteins, and the medical innovations it will lead to are astounding.
Determining the 3d structure of a protein took yearsuntil very recently. Folding at Home was a worldwide project linking millions of computers to work on it.
Alphafold does it in under a second, and has revealed the structure of 200 million proteins. It's one of the most significant medial achievements in history. Since it essentially dates back to 2022, we're still a few years from feeling the direct impact, but it will be massive.
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from what I've seen so far i think i can safely the only thing AI can truly replace is CEOs.
I was thinking about this the other day and don't think it would happen any time soon. The people who put the CEO in charge (usually the board members) want someone who will make decisions (that the board has a say in) but also someone to hold accountable for when those decisions don't realize profits.
AI is unaccountable in any real sense of the word.
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...and it's only expensive and ruins the environment even faster than our wildest nightmares
what you say is true but it's not a viable business model, which is why AI has been overhyped so much
What I’m saying is the ONLY viable business model
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I'm not wrong. There's mountains of research demonstrating that LLMs encode contextual relationships between words during training.
There's so much more happening beyond "predicting the next word". This is one of those unfortunate "dumbing down the science communication" things. It was said once and now it's just repeated non-stop.
If you really want a better understanding, watch this video:
And before your next response starts with "but Apple..."
Their paper has had many holes poked into it already. Also, it's not a coincidence their paper released just before their WWDC event which had almost zero AI stuff in it. They flopped so hard on AI that they even have class action lawsuits against them for their false advertising. In fact, it turns out that a lot of their AI demos from last year were completely fabricated and didn't exist as a product when they announced them. Even some top Apple people only learned of those features during the announcements.
Apple's paper on LLMs is completely biased in their favour.
Defining contextual relationship between words sounds like predicting the next word in a set, mate.
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There's awesome AI out there too. AlphaFold completely revolutionized research on proteins, and the medical innovations it will lead to are astounding.
Determining the 3d structure of a protein took yearsuntil very recently. Folding at Home was a worldwide project linking millions of computers to work on it.
Alphafold does it in under a second, and has revealed the structure of 200 million proteins. It's one of the most significant medial achievements in history. Since it essentially dates back to 2022, we're still a few years from feeling the direct impact, but it will be massive.
That's part of the problem isn't it? "AI" is a blanket term that has recently been used to cover everything from LLMs to machine learning to RPA (robotic process automation). An algorithm isn't AI, even if it was written by another algorithm.
And at the end of the day none of it is artificial intelligence. Not to the original meaning of the word. Now we have had to rebrand AI as AGI to avoid the association with this new trend.
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all these tickets I’ve been writing have been going into a paper shredder
Try submitting tickets online. Physical mail is slower and more expensive.
It was an expression, online is the only way you can submit tickets.
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Shrinking AGI timelines: a review of expert forecasts - 80,000 Hours https://share.google/ODVAbqrMWHA4l2jss
Here you go! Draw your own conclusions- curious what you think. I'm in sales. I don't enjoy convincing people to change their minds in my personal life lol
We don't have any way of knowing what makes human consciousness, the best we've got is to just call it an emergent phenomenon, which is as close to a Science version of "God of the Gaps" as you can get.
And you think we can make ChatGPT a real person with good intentions and duct tape?
Naw, sorry but I'll believe AGI when I see it.
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What I’m saying is the ONLY viable business model
not at the current cost or environmental damage
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Phone menu trees
I assume you mean IVR? It's okay to be not familiar with the term. I wasn't either until I worked in the industry. And people that are in charge of them are usually the dumbest people ever.
people that are in charge of them are usually the dumbest people ever.
I think that's actively encouraged by management in some areas: put the dumbest people in charge to make the most irritating frustrating system possible. It's a feature of the system.
Some of the most irritating systems I have interacted with (government disability benefits administration) actually require "press 1 for X, press 2 for y" and if you have your phone on speaker, the system won't recognize the touch tones, you have to do them without speakerphone.
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Yeah but these pesky workers cut into profits because you have to pay them.
They're unpredictable. Every employee is a potential future lawsuit, they can get injured, sexually harassed, all kinds of things - AI doesn't press lawsuits against the company, yet.
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It is important to understand that most of the job of software development is not making the code work. That's the easy part.
There are two hard parts::
-Making code that is easy to understand, modify as necessary, and repair when problems are found.
-Interpreting what customers are asking for. Customers usually don't have the vocabulary and knowledge of the inside of a program that they would need to have to articulate exactly what they want.
In order for AI to replace programmers, customers will have to start accurately describing what they want the software to do, and AI will have to start making code that is easy for humans to read and modify.
This means that good programmers' jobs are generally safe from AI, and probably will be for a long time. Bad programmers and people who are around just to fill in boilerplates are probably not going to stick around, but the people who actually have skill in those tougher parts will be AOK.
A good systems analyst can effectively translate user requirements into accurate statements, does not need to be a programmer. Good systems analysts are generally more adept in asking clarifying questions, challenging assumptions and sussing out needs. Good programmers will still be needed but their time is wasted gathering requirements.
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My current conspiracy theory is that the people at the top are just as intelligent as everyday people we see in public.
Not that everyone is dumb but more like the George Carlin joke "Think of how stupid the average person is, and realize half of them are stupider than that.”
That applies to politicians, CEOs, etc. Just cuz they got the job, doesn't mean they're good at it and most of them probably aren't.
Absolutely. Wealth isn't competence, and too much of it fundamentally leads to a physical and psychological disconnect with other humans. Generational wealth creates sheltered, twisted perspectives in youth who have enough money and influence to just fail upward their entire lives.
"New" wealth creates egocentric narcissists who believe they "earned" their position. "If everyone else just does what I did, they'd be wealthy like me. If they don't do what I did, they must not be as smart or hard-working as me."
Really all of meritocracy is just survivorship bias, and countless people are smarter and more hard-working, just significantly less lucky. Once someone has enough capital that it starts generating more wealth on its own - in excess of their living expenses even without a salary - life just becomes a game to them, and they start trying to figure out how to "earn" more points.
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There's awesome AI out there too. AlphaFold completely revolutionized research on proteins, and the medical innovations it will lead to are astounding.
Determining the 3d structure of a protein took yearsuntil very recently. Folding at Home was a worldwide project linking millions of computers to work on it.
Alphafold does it in under a second, and has revealed the structure of 200 million proteins. It's one of the most significant medial achievements in history. Since it essentially dates back to 2022, we're still a few years from feeling the direct impact, but it will be massive.
Sure. And AI that identifies objects in pictures and converts pictures of text into text. There's lots of good and amazing applications about AI. But that's not what we're complaining about.
We're complaining about all the people who are asking, "Is AI ready to tell me what to do so I don't have to think?" and "Can I replace everyone that works for me with AI so I don't have to think?" and "Can I replace my interaction with my employees with AI so I can still get paid for not doing the one thing I was hired to do?"
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That's part of the problem isn't it? "AI" is a blanket term that has recently been used to cover everything from LLMs to machine learning to RPA (robotic process automation). An algorithm isn't AI, even if it was written by another algorithm.
And at the end of the day none of it is artificial intelligence. Not to the original meaning of the word. Now we have had to rebrand AI as AGI to avoid the association with this new trend.
“AI” is a blanket term that has recently been used to cover everything from LLMs to machine learning to RPA (robotic process automation).
Yup. That was very intentionally done by marketing wanks in order to muddy the water. Look! This
computer program, er we mean "AI" can convert speech to text. Now, let us install it into your bank account." -
Defining contextual relationship between words sounds like predicting the next word in a set, mate.
Only because it is.
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Defining contextual relationship between words sounds like predicting the next word in a set, mate.
Not at all. It's not "how likely is the next word to be X". That wouldn't be context.
I'm guessing you didn't watch the video.
