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AI Ruined Quora

jonn.substack.com

71–80 of 100 posts

Re: AI Ruined Quora

#71
post #18

I always think people calling AI just ‘fancy autocomplete‘ haven’t really tried it yet.

I still use mixtral for exploratory questions and it’s so good, especially with well-crafted character cards. I think there are three types of people: those who tried it, those who never tried it, and those who only tried GPT- and boring alikes.

Re: AI Ruined Quora

#72
post #8
post #3

On a seperate note, why do people feel the need to exaggerate their Quora profile/education level/accomplishments? I'm not the only one who's noticed how many Quora profiles are filled with ludicrous, self-aggrandizing descriptions, right?

> On a seperate note, why do people feel the need to exaggerate their Quora profile/education level/accomplishments? As in it is Quora specific or it's always been this way? People haven't changed...

Quora has always been like that, attracts a certain type of person.

Re: AI Ruined Quora

#73
post #18

I always think people calling AI just ‘fancy autocomplete‘ haven’t really tried it yet.

There's a qualitative difference between the raw LLM model, which I think it is fair to describe as "fancy autocomplete", and AI-as-actually-deployed, where the LLM has access to function calling behind the curtain.

Re: AI Ruined Quora

#74
Founder of Quora Adam D'Angelo is still on the Open AI board board and the founder of another AI startup called POE. I am sure Quora's QnA data would have been used to train lot of AI models. Now they are just taking out the humans.

Re: AI Ruined Quora

#76
post #69

Earlier quoted context omitted.

I found this is a “marketing” technique, that I first encountered on LinkedIn Groups. A shill asks a specific question, which is then “answered” by a bunch of other shills, recommending some product. I remember answering a technical “question” on the Swift Language group, in LI. I gave a simple, accurate, answer to what I considered to be an earnest question about a basic dilemma. It was something that I knew all abo…

Linkedin also goes the quora way. Nope, it's not marketing, it's something else.

Thus, the "marketing" (with quotes).

It may actually be a technique, taught in school. There's a lot of underhanded behavior in that field, especially in trying to drive talking points and corporate glossaries.

Re: AI Ruined Quora

#77
Quora already started to decline years before LLMs becoming popular.

I think, it's not AI that ruined Quora, but monetization. It's a strong case of Goodhart's Law. The measure is popularity and user retention.

In an ideal world the correct target would be the quality of questions and answers.

Re: AI Ruined Quora

#78
post #31
post #18

I always think people calling AI just ‘fancy autocomplete‘ haven’t really tried it yet.

But that's literally what it is. The only reason you can have dialog-like interactions with language models is because they have been trained with special "stop tokens" surrounding dialog, so the model can (generally) auto complete something that looks like a reasons, and then the inference engine can stop producing text when the model produces the stop token.

s/reasons/response/

Re: AI Ruined Quora

#79
post #40

I cannot remember a time when quora was not broken, so AI certainly didn't ruin it. The UI and their login popups have always been horrible enough that I try to avoid them. But in addition to that, most specific questions - the ones that would benefit the most from a nuanced human answer - get answered with generic copypasta. My impression is that Quota tried gamifying the process of answering... And they succeeded,…

You may have just joined late? Right at the start when there was artificial signup scarcity it was fantastic. Like hn great except for questions

Quora was bad when I visited it in 2021. So what year it was good again?

Re: AI Ruined Quora

#80
Reading the author's explanation of how Quora became awful by using AI to generate questions gives me a view into the dystopian future where the deluge of AI-generated books on Amazon pollutes and undercuts the whole concept of "knowledge found in books." Instead, we will have books with the verisimilitude of knowledge because the authors did not have the expertise or ambition to edit out the hallucinations.
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