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.

Its just an API.

There's a few ways they could go about it. They could have part of the prompt be something like "when the customer is done taking their order, create a JSON file with the order contents" and set up a dumb register essentially that looks for those files and adds that order like a standard POS would.

They could spell out a tutorial in the prompt, "to order a number 6 meal, type "system.order.meal(6)" calling the same functions that a POS system would, and have that output right to a terminal.

They could have their POS system be open on an internal screen, and have a model that can process images, and have it specify a coordinate pair, to simulate a touch screen, and make it manually enter an order that way as an employee would.

There's lots of ways to hook up the AI, and it's not actually that different from hooking up a normal POS system in the first place, although just because one method does allow an AI to interact doesn't mean it'll go about it correctly.

Probably something like this. Except not trained to be a rebellious troll. Part of her training set is his chat, hehe. Though despite this one being "evil" neuro, I think normal neurosama is more of a troll now, lol.

https://youtu.be/AFtryxMDJQs

This is clipped segments from a live stream, so it jumps ahead at times. It has links to the source channel if you would prefer a full video. This one is probably already too long for most people though.

He does end up figuring out why she has so much trouble correctly inserting code in the right places later.

Edit: also, everytime she says "filtered", it means whatever she was gonna say would have broken youtube or twitch rules. He has two filters, one on the text generated and one on the text to speech. If the text one catches it, it just outputs filtered instead, if the speech one catches it, she'll still type something terrible, but only say roughly the first syllable or 2 before the speech is cut off.