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0 pointsAerbil3132y ago0 comments

A ton of tasks. Call centers to start with (they already do[1]), with human fallback.

1: In my country, after ChatGPT launched last year, when you call customer support you are now prompted to “just say in a few words” what you want instead of going through tap-this-number menus (they exist as a fallback) and I believe the backend is an LLM. The user flow and voice recordings are still programmatically determined though, but I can easily see one streamlined model calling APIs and whatnot, handling it all.

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5 comments · 2 top-level

salad-tycoon2y ago· 2 in thread

I speak English clearly. These things always tell me to repeat what I said. Never once has it ever worked for me. I want to throw my phone at the wall.

Also I think this has been around for longer than chatgpt. It is often accompanied by a fake keyboard clicking noise.

sofixa2y ago

> I speak English clearly. These things always tell me to repeat what I said. Never once has it ever worked for me. I want to throw my phone at the wall

Now imagine how well it works for people with non-"native" accents (even for native, I'd guess that a good Scouse/Glaswegian/Kiwi accent might confuse the hell of those systems as well). It's a disaster and I hate those.

int_19h2y ago

There's a general problem across the tech industry with replacing existing simple and reliable (in a sense of conveying the user's intention) interfaces like physical buttons with stuff that is supposedly "more natural" like speech recognition or swipe gestures that in practice has a much higher error rate.

See also: replacing physical buttons with convoluted swipe gestures on mobile devices in the never-ending quest to make screen as large as possible. When was this ever a user ask?

I feel sometimes like the present UX design is one large LLM-like hallucination.

chenxi96492y ago· 1 in thread

Yea that's pretty cool too, I heard some restaurants are also doing a 100% voice LLM to take orders.

Transcription, specifically Whisper, is one of those ML models where the accuracy is basically on-par with humans. So, I really expect a lot more to come out of real time voice/LLM integrations.(the ChatGPT voice thing is a good glimpse, but very janky)

allanwind2y ago

"A firm providing AI drive-thru tech to fast food chains actually relies on human workers to take orders 70% of the time": https://www.businessinsider.com/ai-drive-thru-tech-relies-on...

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