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1-800-ChatGPT

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Re: 1-800-ChatGPT

#81
post #40

Earlier quoted context omitted.

Feels like something Google would do in the early days, but not now.

Nothing new under the sun https://en.wikipedia.org/wiki/GOOG-411

That's what I was thinking of. Ironically, no amount of googling surfaced it for me, so I thought I imagined it.

Re: 1-800-ChatGPT

#83
post #47
post #2

Memories of GOOG411! And probably same purpose of this. (1) (1) https://en.wikipedia.org/wiki/GOOG-411

I don't think it's the same purpose. YouTube, TV and Movies offers enough speech samples and a lot of content is dubbed to other languages, and alot of this content already has the transcripts available. They know who's calling, and the greeting was something like "Hello again". They are catching up at building a competitive database of persons and their preferences at the scale of FAANG. They're moving over from col…

Regular human conversational voice, especially over the phone, is going to be a gold mine for training customer support AI agents. Actors reading movie scripts can't really provide that amount of relevance.

Re: 1-800-ChatGPT

#84
post #55
post #2

Memories of GOOG411! And probably same purpose of this. (1) (1) https://en.wikipedia.org/wiki/GOOG-411

Must have been tough thinking of an easy to remember phone number, and this ain’t it.

It made more sense at the time. 411 is an actual directory service (similar to dialing 0 for the operator). [1]

[1]: https://en.wikipedia.org/wiki/411_(telephone_number)

Re: 1-800-ChatGPT

#86

Earlier quoted context omitted.

Controversial take: LLMs are the first time in a while that I have felt like emerging technology trends is doing something cool and adding value. For the past 8-10 years it has all felt like a bunch of apps that just aim to be mediocre middlemen/gig economy brokers with bad customer service.

I agree about an abundance of apps, but what type of value are LLMs adding? It can sometimes be useful to input a more "human" search and have something get spit out but 60% of the time it completely lies to you. I'm talking about questions related to web specifications which are public documents. Section numbers, standards names, etc.. will be completely made up.

This is a thin edge of the wedge issue, right? ChatGPT is pretty darn good for most things. I’ve used it extensively for the past 18 months and only in a few cases would I say it “completely lied to me”.

My general rubric is: “would I trust someone on Reddit to correctly guide me on this”. If the answer is “yes” then ChatGPT is likely going to do well. If the volume on a particular subject is low / susceptible to false information then it’ll lie.

Recently it lied hard about how to configure MikroTik routers. I lost many hours. But for a large construction project recently it completely balled out.

Are you doing cutting edge / complicated stuff? Have you examples of where it lies?

Re: 1-800-ChatGPT

#87
post #2

Memories of GOOG411! And probably same purpose of this. (1) (1) https://en.wikipedia.org/wiki/GOOG-411

Does anyone else remember a very short lived Google experiment that allowed you to call a number, vocalize your search, and somehow without any additional steps, the results appeared on the browser in front of you? (which was not connected to the phone, or even logged into a Google account)

Re: 1-800-ChatGPT

#88
post #42

something tells me all these bells and whistles around gpt are signs that scaling laws have plateaued, otherwise OpenAI et al. would focus more on improving model quality. Maybe GPT-4 is the 1080p of LLMs: Noticeably better than 720p and 480p models, and not bad enough to warrant additional improvements. Sure, 4K, 8K, ... are technologically available, but for the majority of use cases, 1080p is enough. Similarly, ev…

Yes, surely they only have one type of Software Engineer and they all know how to improve model quality. Alternatively, does it not seem more likely that they have different product groups? Surely the folks working on ChatGPT are an entirely different beast than the folks working in model development?

Yes, surely a sarcastic reductio ad absurdum of what was was said will inspire dialogue. I think the GP's point is that their investing in new distribution channels could mean ROI in models has diminished significantly. Incidentally, I disagree with GP that's what this means-- this is another investment in brand awareness, AND data for multi-modal/audio. They might have gotten to 1080p for text chat but definitely not for voice chat.

Re: 1-800-ChatGPT

#89
I can't find any information about how to start a new conversation as opposed to continuing an existing one. I asked the service itself and it doesn't know. In fact it doesn't even know it's behind a phone number.

Re: 1-800-ChatGPT

#90
post #29

They are going to collect so much voice training data from this.

telephony* voice data

[*] limited bandwidth (8 kHz), providing a valuable opportunity to enhance and specialize models for telephony applications, ensuring better performance and user experience even with low-fidelity audio inputs.

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