Understanding the variety of speech over a drive-thru speaker can be difficult for a human with experience in the job. I can't see the current level of voice recognition matching it, especially if it's using LLMs for processing of what it managed to detect. If I'm placing a food order I don't need a LLM hallucination to try and fill in blanks of what it didn't convert correctly to tokens or wasn't trained on.
this post was submitted on 18 Jun 2024
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Yeah I've seen a lot of dumb LLM implementations, but this one may take the cake. I don't get why tech leaders see "AI" and go yes, please throw that at everything. I know it's the current buzzword but it's been proven OVER AND OVER just in the past couple of months that it's not anywhere close to ready for prime-time.
Most large corporations’ tech leaders don’t actually have any idea how tech works. They are being told that if they don’t have an AI plan their company will be obsoleted by their competitors that do; often by AI “experts” that also don’t have the slightest understanding of how LLMs actually work. And without that understanding companies are rushing to use AI to solve problems that AI can’t solve.
AI is not smart, it’s not magic, it can’t “think”, it can’t “reason” (despite what Open AI marketing claims) it’s just math that measures how well something fits the pattern of the examples it was trained on. Generative AIs like ChatGPT work by simply considering every possible word that could come next and ranking them by which one best matches the pattern.
If the input doesn’t resemble a pattern it was trained on, the best ranked response might be complete nonsense. ChatGPT was trained on enough examples that for anything you ask it there was probably something similar in its training dataset so it seems smarter than it is, but at the end of the day, it’s still just pattern matching.
If a company’s AI strategy is based on the assumption that AI can do what its marketing claims. We’re going to keep seeing these kinds of humorous failures.
AI (for now at least) can’t replace a human in any role that requires any degree of cognitive thinking skills… Of course we might be surprised at how few jobs actually require cognitive thinking skills. Given the current AI hypewagon, apparently CTO is one of those jobs that doesn’t require cognitive thinking skills.
In one video, which has 30,000 views on TikTok, a young woman becomes increasingly exasperated as she attempts to convince the AI that she wants a caramel ice cream, only for it to add multiple stacks of butter to her order.
Lmao didn’t even know you could add butter to something at McDonald’s. If you can’t then it’s even funnier it decided that’s a thing.
They have butter for their hot cakes. Sounds like it was adding butter packets to the order.
Ahh I forgot about breakfast, that makes more sense. I was picturing butter drenched fires lol.
Hey, McDonalds, I got a general AI that can understand human speech.
It's located between my neck and the top of my head, and it costs $25/hr for fuel consumption.
AI is going the same way as self-driving cars...
It has the power to bring such amazing change, but greed is poisoning the technology, and it's being weaponized against the lower and middle class in disguising ways.
Shoutout to Elon for fucking up self driving cars by releasing cheap, imitation technology after his competitors spent literal decades carefully testing and perfecting genuine solutions.
Greed is why we can't have nice things... Everyone should be angrier about this stuff.
has the power to bring such amazing change
Everyone where told me it was fake marketing hype.
I love how the enemy is all powerful and easily defeatable at the same time. LLMs are singularity creating AIs, useless, hallucinating, job destroyers, potentially do everything, all at once.
Maybe different people are saying those different things.
Sure. It's all an opinion. That makes sense. Thank you for explaining how it isn't based on logic, data, or really any methodology at all. Just people arguing chocolate or vanilla or strawberry ice cream.
Everything is an opinion. You're making bets on future outcomes.
That doesn't mean that no one knows what they're talking about.
No. Everything is not an opinion. There is the real universe.
You're projecting the future. It fundamentally cannot be factual. It's a guess. Some guesses (that LLMs are a deeply flawed technology) come from a place of understanding how shit works that other guesses (LLMs are magic) don't, but the actual future impact of the tech inherently must be an opinion, regardless of how well informed it is. There is no objective truth.
(All of this is without the fact that very little of the past is super concrete either. We know specific things happened with relatively high certainty, but why is, again, always a guess.)
There is no objective truth.
Hmm is this a true statement no matter what people think of it?
It has not happened yet. By definition there is no "reality".
There are merely informed opinions, uninformed opinions, and fraudulent opinions.
Hmm is this a true statement no matter what people think of it?
Ah yes, give me more companies using AI, trying to replace their employees and then realizing it doesn't work
How come Walmart gets shit for self checkout but McDonald's doesn't get absolutely fucking roasted for Ai
I honestly prefer self-checkout. I may not be as fast as the cashier, but I am reasonably fast and I don't have to talk to anyone.
I'd probably feel the same about fast food orders. I don't think the same self-checkout system would work, but I'd probably use my phone if it was easy and I didn't need a special app. Just let me scan a code and enter my order from a parking lot space. That way I still don't need to talk to anyone, no issues with crappy mics or AI, etc. I'm guessing everyone would be happier (workers don't need to intuit crackly mics, I can check if it comes with pickles, etc).
These large companies really need to learn that AI isn't a good tool for black and white decisions.
Right now I'm working on a system with drones and image recognition for farmers to prioritise where to use pesticides, in order to decrease the use of pesticides in the EU. For these things AI systems work really well, since it's just prioritising regions.
It's a bad idea to use it to make discrete decisions.
I disagree. Classification in combintion wo ith a confidence score is a viable use case for AI.
you know that the confidence value is generated by the ai itself right? So it could still spew out bullshit with high confidence. The confidence score doesn't really help much