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.
Comment on McDonald’s Gives Up On ‘AI’ After Comedy Of Errors, Including Putting Bacon On Ice Cream
mosiacmango@lemm.ee 4 months agoThat wouldn’t even need AI. Thats just a fancy switch statement with a pleasant voice.
teejay@lemmy.world 4 months ago
AlternateRoute@lemmy.ca 4 months ago
An LLM can somewhat smooth over variances in language without having to have all possible variances known just the valid options and the raw input.
mosiacmango@lemm.ee 4 months ago
Good point. A really complicated switch statement then haha.
AlternateRoute@lemmy.ca 4 months ago
Natural language is really messy… Could go through many variants on things. Then you get text to speech issues due to audio quality / accents… And you need an engine that can “best guess / best match” based on what it has or ask for clarification.
Similarly you can as for TWO of a complex thing I would like Two… meals, with, XXXX
mosiacmango@lemm.ee 4 months ago
Im just messing around man. This does sound like a good case for a basic LLM.