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.

Especially in situations like this where it’s quite possible it would cost less to go back to the basics of better pay and training to create willing workers. Maybe the initial cost was less than what they have to spend to improve things, but add in all the backtracking and cost of mistakes, I doubt it.

Not if the car is stopped. Here’s how it should work:

1. park in a “drive-thru” stall
2. scan QR code specific to that stall (optional - connect to wifi at the stall)
3. enter order through a simple webapp
4. worker brings order out

If you want to talk to someone, walk inside, no need for a drive-thru window at all. That’s basically how the old drive-ins worked, adjusted for modern tools.

…which is why I park first at the chain before I order. You right its a liability, but they’re gonna run out of options if they can’t afford someone to run the speaker, be it AI, someone in a call center, or the restaurant.

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).

AI is a crapshoot, agree. But there has to be more testing before PR disasters like this happen. That isn’t “being my suppliers beta test”, rather sensible project managers not mindlessly putting it out there because the supplier said it worked. Now people are laughing at McDonald’s on top of their cost saving operations being delayed. But I agree overall that AI sucks to replace humans. I’m just criticizing McDonald’s jumping the gun

It’s because everyone is trying to use generic models for every task which is obviously terrible. If you create a custom, naroscope model, you can do some surprising things. But that takes knowledgeable employees, time, and money, none of which companies want to do. Train ann llm exclusively on recordings of drive-thru interactions and it would probably end up being quite good at it.

I mean it wouldn’t hurt to also use some microphones that don’t sound worse than Dollar Store Windows 98 white beige desktop microphone but that’s a different conversation

And the only way to check the order would be to listen to each order and confirm the order is correct - so totally duplicating the AI’s job.

Lol, they do this already with humans, and have done so for more than a decade. Back when I worked in the MCD kitchen, wed always have someone with the drive thru headset on to hear what’s coming and to make sure the back drive drone wasn’t a complete moron (like the kid [hired before me] who in all seriousness asked me if there was bacon on a BLT, then completely missed the sarcasm in a drawn out “Noooooooo” and proceeded to tell the customer 🙄)

Voice recognition is “AI“*, it even uses the same technical architecture as the most popular applications of AI - Artificial neural networks.

* - depending on the definition of course.

You know what they call alternative medicine when it works? Medicine.

Honestly, it doesn’t need to be that complex:

• X <menu item> [<ala carte | combo meal>]
• extra <topping>
• <size> <soda brand>

There’s probably a dozen or so more, but it really shouldn’t need to understand natural language, it can just work off keywords.

Maybe different people are saying those different things.

Like, the drive through connects to some Indian call center?