If there’s been one recurring theme during the “AI” (read, language learning models) revolution, it’s that the tech sector and greedy financiers are prematurely rushing unde…
LLMs certainly hold potential, but as we’ve seen time and time again in tech over the last fifteen years, the hype and greed of unethical pitchmen has gotten way out ahead of the actual locomotive. A lot of people in “tech” are interested in money, not tech. And they’re increasingly making decisions based on how to drum up investment bucks, get press attention and bump stock, not on actually improving anything.
The result has been a ridiculous parade of rushed “AI” implementations that are focused more on cutting corners, undermining labor, or drumming up sexy headlines than improving lives. The resulting hype cycle isn’t just building unrealistic expectations and tarnishing brands, it’s often distracting many tech companies from foundational reality and more practical, meaningful ideas.
Mc Donald's already has customer self serve kiosks and mobile apps with the full menu that limit you as to which items you can add or remove.
How did they screw this up and leave things open ended for the LLM?
IE why was the LLM not referencing a list of valid options with every request and then replying with what the possible options are. This is something LLMs are actually able to do fairly well, then layer on top the EXACT same HARD constraints they already have on the kiosk and mobile app to ensure orders are valid?
That's the joke. Nearly every proposed implementation of AI isn't actually solving a real business or tech problem. It's just the next snake oil, like block chain, quantum computing, etc. There are real, valid use cases for all of those things. But most companies have no idea what they really are, how they might help, and even if they could help, what it would take to implement to see real results.
Because most people, including those implementing this shit, have no idea how LLMs work, or their limitations. I see it every day at my job. I have given up trying to patiently explain why they are having issues.
After I've seen videos of how infrequently those machines are cleaned, and the ice machines for their drinks too, I just don't want anything from these fast food places.
Basically mold growing inside the deep to clean areas, which never get accessed, and then you trust a bunch of immature teenagers to clean to a proper specification?
Same for the big metal tea dispensers. I had some very nasty looking stuff come out of one of those while filling up a cup one time and it made me never trust fast food drinks again.
I used to not think it was much of a problem, because the people running the restaurant I worked at in highschool and college put such a strong emphasis on keeping everything clean so it never even croased crossed my mind that things could be that bad.
theres a cute programm, call the goblin chef.
if you feed it ingredients, along with amounts, and numbers of people to cook for, it spits out some neat recipes.
But it specifically warns you that it cant actually taste things. If you list ice and bacon, it'll probably combine those two into a dish. (although now i doesnt recognize "one fresh kitten" as an ingredient anymore q.q)
Well, what's the problem. They have bacon and they have ice cr... oh I see the error now. Just add a generic response the ice cream machine is broken and move on!
Those mistakes would be easily solved by something that doesn't even need to think. Just add a filter of acceptable orders, or hire a low wage human who does not give a shit about the customers special orders.
In general, AI really needs to set some boundaries. "No" is a perfectly good answer, but it doesn't ever do that, does it?
Those mistakes would be easily solved by something that doesn’t even need to think. Just add a filter of acceptable orders, or hire a low wage human who does not give a shit about the customers special orders.
That wouldn't address the bulk of the issue, only the most egregious examples of it.
For every funny output like "I asked for 1 ice cream, it's giving me 200 burgers", there's likely tens, hundreds, thousands of outputs like "I asked for 1 ice cream, it's giving 1 burger", that sound sensible but are still the same problem.
It's simply the wrong tool for the job. Using LLMs here is like hammering screws, or screwdriving nails. LLMs are a decent tool for things that you can supervision (not the case here), or where a large amount of false positives+negatives is not a big deal (not the case here either).
sure it does. it won’t tell you how to build a bomb or demonstrate explicit biases that have been fine tuned out of it. the problem is McDonald’s isn’t an AI company and probably is just using ChatGPT on the backend, and GPT doesn’t give a shit about bacon ice cream out of the box.
You get out ahead of the locomotive knowing that most of the directions you go aren't going to pan out. The point is that the guy who happens to pick correctly will win big by getting out there first. Nothing wrong with making the attempt and getting it wrong, as long as you factored that risk in (as McDonalds' seems to have done given that this hasn't harmed them).
The thing most companies are missing is to design the AI experience. What happens when it fails? Are we making options available for those who want a standard experience? Do we even have an elegant feedback loop to mark when it fails? Are we accounting for different pitches and accents? How about speech impediments?
I'm a designer focusing on AI, but a lot of companies haven't even realized they need a designer for this. It's like we're the conscience of tech, and listened to about as often.
They can whine about unscrupulous pitchmen all they want, but at some point, unethical behavior goes so far above and beyond that it becomes impressive.
I hope that whoever convinced McDonald’s to agree to this crap back in 2019 got an award and an obscenely gigantic commission.
IBM has been doing (actually legitimate) business "AI" stuff with Watson forever.
They fucked up here because LLMs are at best part of an interface for the language processing portion and letting them anywhere near the actual business logic of setting up an order is insane, but partnering with IBM for "AI" isn't dumb at all.