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GPT-3 generated blog post reach #1 on Hacker News

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Re: GPT-3 generated blog post reach #1 on Hacker News

#61
post #9

I think GPT-3 could be blessing for Reddit and HN type forums. Add some GPT-3 content and links into the feed. Decrease the vote weight for users who upvote them and increase vote weight for those who downvote them.

So, you’re experimenting on users without their knowledge? There’s a thing called ethics. You might want to look into that.

Good argument against A/B tests and using any form of analytics to improve your site!

Re: GPT-3 generated blog post reach #1 on Hacker News

#62

Earlier quoted context omitted.

The problem is that it's also true. Comments like that decrease the quality of the discussion by attacking the "author" rather than the content. (If the commenter had written even a couple sentences on why they suspected GPT-3, I would feel differently.)

Exactly. I can't tell if that poster actually suspects the content was generated, or if they are simply using the comparison as an insult.

As a criticism, i don't see how that matters. An article written by a human at the quality level of gpt-3 has the same value as an article actually written by gpt-3. Knowing that gpt-3 actually wrote the article doesn't change its level vapidity. Either the article is vapid or it isn't.

Re: GPT-3 generated blog post reach #1 on Hacker News

#63

HN submission from the blog post author, where the comments from dang reveal the author engaged in voting manipulation: https://news.ycombinator.com/item?id=24062702

Sorry to pop the balloon, but the story is bogus.

It's false that the post was generated by GPT-3. The author admitted to writing the title and editing the intro. He also described the article body this way: "as unedited as possible"—in other words, edited. It's false that (as he originally claimed) only one commenter called the post out as GPT-3, and false that all such comments were downvoted.

All that is just what he publicly admitted. How much of the rest is also fake? People who try to game HN like he did, including with bogus accounts and fake votes, are not known for scruples. It seems that, having got busted in dishonest attempts to get attention on HN, he decided to get attention from journalists instead, and found one who didn't bother to check the other side of the story.

Re: GPT-3 generated blog post reach #1 on Hacker News

#65

Earlier quoted context omitted.

On the other hand, you could have been right. It could have been a non-native speaker. I'd hate to end up in a situation where non-native speakers are accused of being bots...

I feel like so many of you are just utterly too kind. Without getting into the generated article, we have a lot of Orwellian new speak everywhere. Your standard corporate/management/hr speak is very pervasive. It sounds inhuman. This is a language many people adopt to fit in and make it in this world. It shadows itself in blogs they write, particularly signaling blogs. The generated article follows in this vein. That…

I think I agree with most of what you said, I just think you need to be careful. Don't confuse "horseshit" with bad English. The latter may contain something interesting, and the former never will.

Re: GPT-3 generated blog post reach #1 on Hacker News

#66
post #49

Earlier quoted context omitted.

This is only the tip of the iceberg. I'm certain GPT-3 has been commenting on HN threads for a while now. In some cases, its presence has been disclosed (see, for example: https://news.ycombinator.com/item?id=23886503 ) In other cases, GPT-3's presence has not been disclosed; the machine has been pretending to be a human being, largely unnoticed. Consider only how easy it is for it to write short, punchy comments --…

I'm reminded of https://xkcd.com/810/ . The example comments you linked (Where GPT-3's presence was disclosed) were believably human, particularly if you were skimming, but they were not good comments. If not for the note at the end about GPT-3, I'm pretty confident they would have been downvoted. And if I'm wrong, and GPT-3 is actually capable of writing thoughtful and substantive comments... well, in the words of X…

The longer the comment, the easier to detect GPT-3. The more rigorous the subject, the easier to detect GPT-3. But GPT-3's presence is harder to detect for short comments on less rigorous subjects generated using as input context actual headlines and top-voted comments on HN.

Re: GPT-3 generated blog post reach #1 on Hacker News

#68
Interesting. Has anyone done any analysis on what the tells are for GPT-3 written articles?

To me they feel like they're slightly off grammatically. Not in an ESL way, but more like someone really anxious who wants to explain a conspiracy theory to you. However i can't entirely put my finger on it. They do seem to overuse self-reflective statements (I think X) and transitionsal phrases. Maybe.

Re: GPT-3 generated blog post reach #1 on Hacker News

#69

Earlier quoted context omitted.

The problem is that it's also true. Comments like that decrease the quality of the discussion by attacking the "author" rather than the content. (If the commenter had written even a couple sentences on why they suspected GPT-3, I would feel differently.)

I agree, and this is my instinct, but I worry about the effort becoming very asymmetric. In a world where a large amount of content CAN be generated (my time to read becomes much larger than time to generate / get my attention), and I may or may not be reading sincerely generated content, at what point do I get to attack the content creator for that, especially since it's very difficult for me to understand any given…

This is exactly the reason why academics like their ivory tower, and value credentials more than egalitarian hackers do.

Re: GPT-3 generated blog post reach #1 on Hacker News

#70

The article if written by a human was bad -- poorly argued and trite. However, my mind is blown if it really was written by an AI. As bad as it might seem by human standards, it's almost impossible for me to accept that this was created by an entity without consciousness or at least understanding. Edit: it seems this might be a fraud; i.e., it indeed was produced by an entity with consciousness. I almost hope that’s…

It is stringing together phrases and sentences that appear in the training data. After digesting gigabytes of text, it has built up structures that represent grammar and semantics to some degree, so you'll find very coherent sentences, because those sentences were originally written by humans or pasted together from sentences written by humans. It's amazing that it works as well as it does.
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