> it works if you know the right trigger words and how it expects you to ask the question I don't think we should discount this. There's something to be said f

> it works if you know the right trigger words and how it expects you to ask the question I don't think we should discount this. There's something to be said for a product that works in a specific way, and if you use it in that way, it actually works. I don't need Siri to divine my hidden meaning regardless of how casually or ambiguously I phrase something... but I do want to know the phrase that works 100% of the time, and then I'll use that 100% of the time, and I'll be happy. What I hate is how Siri fails at even that basic requirement a lot of the time. It's the worst for HomeKit scenes: "Set the scene 'In The Basement'" bounces between working and failing with an inscrutable error, release to release. Sometimes just saying "In the basement" works, other times it lists all the lights in the basement and asks me what it should do. I have a "Bed Time" scene that starts lullaby music in my kids' bedrooms, but sometimes Siri thinks "Bed Time" really means "Good Night", and turns off all of the lights in my house instead. Which is super great when my wife is in the kitchen trying to prepare things and suddenly the whole house goes dark. For me, the biggest problem with Siri and other assistants is the opposite of what you describe: The product is sold as "natural language", which really means that it fuzzily matches what you're saying to its discrete list of features, and that fuzziness is only partially accurate, leading to broken use cases some non-zero percent of the time. LLM's are likely to be even worse here... maybe you've used a certain phrase every time you wanted it to do something, then some model update comes along and it decides to do something else with this phrase, and you'll have to constantly re-discover what works every time it updates.