this post was submitted on 29 Aug 2025
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The LLM isn't limited to just what it does. It can interact with other programs.
There are a ton of audio recognition systems available, almost all of them predate this LLM bubble. There's already an API for interacting with the ordering system. So it's just down to having the LLM pull what is then do that corresponding action for the order.
This is so simple it doesn't require anything nearly as complicated as an LLM. The old phone assistants like Siri and Alexa could do this type of thing. It's literally the same as telling Alexa to place an order for something, and that's been an ability for years.
So the output from the LLM is just a text description that's fed into another, smarter piece of software that interprets that text into an order? What task is the LLM actually doing in this case?
The LLM is taking the order. Interpreting what people say into that simple text description. Not everyone talks the same or describes things the same. That is i believe where the bulk of the LLM is doing the work. Then I'm sure there is some background stock management and health checks out manages as well
What's wrong with an input machine with buttons or touch screen?
not as hype-able to the csuites and ceos.
Takes too long to hold down the button for 18,000 waters.
Not futuristic enough or something.
They are not able to answer questions or change simply via a software update.
OT4G
(Order Time For Grandma)
We have apps for that, and they're typically a pita. They certainly take longer than just talking through your order.
Yeah, unlike a human that understands a customer saying "one pizzaburger, that's all", the app doesn't understand the situation that the order is complete, but rather just keeps on asking more obviously unwanted cringey questions like "buy two, you'll save a few cents on the second one?" or "what will you drink with that?" or "is that a big menu?"...
I don't think there is an LLM in this application. Not all AI tools involve LLM.
I think the role of the LLM is just to make the system understand the order more accurately.