- cross-posted to:
- technology@lemmy.world
- cross-posted to:
- technology@lemmy.world
If an LLM can’t be trusted with a fast food order, I can’t imagine what it is reliable enough for. I really was expecting this was the easy use case for the things.
It sounds like most orders still worked, so I guess we’ll see if other chains come to the same conclusion.
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Computer can’t understand voices good enough so they think you say something different. For example standard voice to text has failed me for years. Voice control for years and years has still failed me. Using gps? fail every time because the computer or phone in this case thinks i say other words that sound nowhere the same. This is before and after AI. The biggest problem is voice recognition of words. Humans can separate sound and frequency better. Ear drums are better than microphones. Even in quite environments i have a voice that doesn’t get translated properly and fails more often than it doesn’t. So AI is going to glitch on a lot of voices too because the voice recognition part still works the same flawed way with flawed microphone technology.
Ear drums are better than microphones
What do you mean about this part? A quality microphone is basically the same thing, although the impedance matching is achieved different ways.
At least i want to believe ear drums being flesh vibrate differently than non organic materials, cells squeeze and contract. The shape of the ear drum is different and the electric signal in the human body is different than electronic devices. It’s just a tiny tiny amount in a human. higher voltages like outside the body change and shape the sound a bit or cause distortions of certain wavelengths of the sound. Just my general idea. I had an ex girlfriend who had a wind up shortwave radio and if using it wound up instead of plugged in to AC or battery she could hold a signal on to a weak station. And no matter the power of the other stations there was less static and distortions on easy to get broadcast or hard to get broadcast. This was just a pocket radio. The flow of electricity is different between those method ac vs dc. Was the kind that winded down as you use it. Power is more stable during wind up or something. I could be a little bit wrong on the radio part because i would have to have my ex girlfriend show me again and no way am i going to go talk to her after over 15 years.
This is not AI failing to do an easy job. This is “unskilled” labor doing complex and demanding work that cannot be duplicated by trillion dollar software.
Tbh this is an incredibly easy fix, either cap the number of waters someone can order in software or have an override where a human takes over if an order is suspicious, there’s not an infinite number of ways to fuck with this.
Why can’t a trillion dollar AI say “Sir, that’s not reasonable”?
because they prioritize profit acquisition.
Because they train these to be your cheerleader, not some back talking reasonable person.
The point is that loopholes in software will always exist that lead to unexpected outcomes.
In software in general? Sure, here? I really doubt it
Capping waters fixes that one specific issue but not the problem.
A suspicious order isn’t easy to define and no person who has ever participated in software development would underestimate the infinite ways a User can break software.
Surely if the person making the order sees 18,000 waters they would think, hold on this doesn’t seem right maybe I should ask the customer if they really want 18,000 waters?
The same applies for the ice cream with bacon on it which was mentioned in the article. I believe a lot of these could be resolved with a bit of common sense.
The same applies for the ice cream with bacon on it
Have you never seen what Americans eat? Bacon Creaminators are excellent.
If you think bacon on ice cream is weird enough to cancel an order, I can only imagine you’ve never worked a customer service job.
Sure, but how do you distill this into a rule a computer can follow? “Suspicious” is not an objectively measurable thing that a program can just check against
Think the easiest way would be to collect order data for at least a good number of months if not a couple years and feed it in and use that as a baseline of what a typical human order looks like, anything that deviates too far from that baseline needs to be handled by a human until someone can validate it as a good order, though I imagine you could get false positives for new menu items unless you set a reasonable instruction for items that have never appeared in the dataset before.
Sure, in the most extreme cases it would be obvious to the crew. But simply making mistakes at a higher rate than humans will result in a lot of unhappy customers.
The same applies for the ice cream with bacon on it
Does it, though? Unlike the 18,000 waters, if I were working a drive through I wouldn’t even blink at an order for bacon ice cream. Heck, I might make a little extra to try it for myself!
there is an incredibly finite number of ways to mess with this, they just need a button to send a report to the engineers with how they got messed with and eventually they’ll have a complete list. I really doubt it’d take long to iron out the vast majority of ways that can be thought of.
A QA engineer walks into a bar and orders a beer.
She orders 2 beers.
She orders 0 beers.
She orders -1 beers.
She orders a lizard.
She orders a NULLPTR.
She tries to leave without paying.
Satisfied, she declares the bar ready for business. The first customer comes in an orders a beer. They finish their drink, and then ask where the bathroom is.
The bar explodes.
This isn’t something you can input any text into, it’s fixed, that joke doesn’t apply, you can’t do an sql injection here.
I don’t know how you can think voice input is less versatile than text input, especially when a lot of voice input systems transform voice to text before processing. At least with text you get well-defined characters with a lot less variability.
No special characters, this is speech to text, inherently sanitized inputs.
Sounds like you’ve never programmed before.
If what I was saying was false, there would be the same issues with the touchscreen ones.
Nothing you said there would at all be affected by the difference in input source.
