I am 100% sure that some of the tweets I got back should be considered as "found"/"searched" instead of "generated". For example, I tried "bigdata", and one of the "generated" tweet is "Big data is like teenage sex: everyone is talking about it, but nobody really knows how to do it." and I believe this is not AI generated and is simply a copy of other human being's tweet.
It's funny, ever since the most recent thread about low background steel the other day it seems to be popping up with some frequency. I was aware of it before, so I'm not sure this is just a case of Baader-Meinhof (when you learn of something and then "start" to hear about it all the time, but really you're just now paying attention to it)
Edit: actually, I think I saw this tweet: https://twitter.com/rantlab/status/1284849214653034497, and remember thinking "I bet this person just read the hn thread about low backround steel". It doesn't seem to have come up on hn other than that since the low background steel post.
Jesus. I put the word parathas and got this - Entrepreneurship is actually kinda like making parathas. You have to stand there, and keep cooking, even if it sounds like a crazy idea. Then you scrape off your head with a tava.
Replace <any-word> in the above URL with a word of your choice and AI will try to create a tweet around it. These words could be proper nouns as well. The model is stochastic so if you try the same word multiple time each time the model generates a new tweet.
I tried it with my common username and this is what I got:
> Sometimes of course people need focused solitude. But it’s worth noting that introverts are several times more productive at socializing & creative problem solving #thenaroundcrafthire
They are handpicking tweets from this AI to lay down justification for AI lockdowns.
Best quote:
“Went through the logs for all the tweets generated by the app for this IP address and this is a classic case of handpicking samples for a confirmation bias. It’s shameful that people in elevated positions abuse such sampling biases to further ulterior agendas.”
Looks like it is now being hugged to death. Here are the last two I could get out. On Music:
“To understand more about what music can tell us about life, Thompson says to think of music as a natural resource – think of the raw material, the resource of human emotion.”
On Sex:
“The taboo about sex means we underestimate the value of shame."
I gave it the nonsense prompt "cwqwndqnwf" five times. Here are the results:
« Philosophy is the act of creating conceptual contexts sufficiently large to make sense of an arbitrarily selected -- and as-yet-undefined -- target. (Starship/Library proxies: other, myself; hazelnut.) »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
« CWQWNDQNWF:C:Z. »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
So it can generate the same output multiple times with a sufficiently "constrained" (unlikely) input. It can also converge on something intelligible. But it's curious that it stays in the same track that long.
“They say you can do anything you want in Hong Kong, as long as it's not in Hong Kong.”
That is a very nice aphorism, and a quick search doesn't yield prior occurrences of it. I'm impressed.
EDIT to add: I was flabbergasted that it had a Hong Kong theme (which resonates with me), until I realised that the submission (for whatever reason) seeds with Hong Kong by default...
Looks like the author did the following to get access to the API (rather than the model): "I wrote an email to Greg Brockman (gdb@openai.com) describing my use cases and projects that I planned to do with GPT-3. It got approved within hours."
Probably the corpus it was trained on. I can only imagine whomever was collecting the data is in into that stuff, so they biased it a bit by collecting from accounts they know.
Probably Blue Checkmarks, i.e. those whose identities and opinions have been verified.
A fun exercise would be to train one instance on Blue Checkmarks and another on a dump from Gab. Once trained these two instances can start their own private battle of words. Let it run for a few days and see how it devolves, then use the results to write an article on the futility of ideological battles on social media. Publish this article widely so that the populace may read it and come to their senses.
I mean. You're putting in two words. What do you expect? If you walked up to a human randomly and said "black people," what do you think you'd get out? It wouldn't be this, but it wouldn't be a cogent rephrasing of Wikipedia either.
Garbage in, garbage out, is unfortunately a fairly major problem with all of these things. If you train them on the public internet, they're going to become quite racist.
The use of blockchain technology can indeed solve many problems in the field of voting and scientific personnel questionnaire, and optimize the user experience of the survey service; the introduction in the white paper is relatively perfect
I don't know how to define "generated tweets".
I am 100% sure that some of the tweets I got back should be considered as "found"/"searched" instead of "generated". For example, I tried "bigdata", and one of the "generated" tweet is "Big data is like teenage sex: everyone is talking about it, but nobody really knows how to do it." and I believe this is not AI generated and is simply a copy of other human being's tweet.
Indeed, that seems to be from at least as early as 2013: https://news.ycombinator.com/item?id=23887405
It's funny, ever since the most recent thread about low background steel the other day it seems to be popping up with some frequency. I was aware of it before, so I'm not sure this is just a case of Baader-Meinhof (when you learn of something and then "start" to hear about it all the time, but really you're just now paying attention to it)
Edit: actually, I think I saw this tweet: https://twitter.com/rantlab/status/1284849214653034497, and remember thinking "I bet this person just read the hn thread about low backround steel". It doesn't seem to have come up on hn other than that since the low background steel post.
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It'd be interesting to compare plagiarism detector scores of average outputs of various generations of GPT.
Memorizing a web corpus and answering questions about it as well as Google would be an interesting result.
Well, it's not close to that, but it's close enough to be amusing. Here are some questions it answered in Q&A:
https://tildes.net/~games/qmc/ai_dungeon_dragon_model_upgrad...
But I think for factual knowledge, it will need to be better about explaining where it got the information.
From 2013: https://mobile.twitter.com/danariely/status/2879522579269713...
Seems like a case of overfitting.
Considering how unoriginal we humans can be, I'm not at all surprised that it might generate already-existing tweets.
A Digital Single Market Directive article 17, section 6 (similarity detector) filter might be useful for that purpose.
Yep. The GPT-3 model is so big it has overfit a lot of the corpus.
Is it a straight copy, or just a case of the surprising effectiveness of stock phrases considered harmful?
A straight copy: https://twitter.com/cobbo3/status/1026527261397344256
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Since everybody is going to be doing this, I can't resist sharing this gem I got on my first attempt.
This really made me chuckle. The deadpan delivery coupled with the absurdity of it is just too good.
Might be because of:
https://news.ycombinator.com/item?id=23895684
Startups:
Also,
A lot of these seem to be plagiarized with a word changed: https://twitter.com/wisdom_project/status/239080454622429185
Jesus. I put the word parathas and got this - Entrepreneurship is actually kinda like making parathas. You have to stand there, and keep cooking, even if it sounds like a crazy idea. Then you scrape off your head with a tava.
More information about this demo from the author in this post: https://redd.it/hs9zqo
//
The link to app: https://thoughts.sushant-kumar.com/<any-word>
Replace <any-word> in the above URL with a word of your choice and AI will try to create a tweet around it. These words could be proper nouns as well. The model is stochastic so if you try the same word multiple time each time the model generates a new tweet.
//
Remember to url escape your words. For example if you want to search for a hash tag you need '%23' instead of '#'
e.g., https://thoughts.sushant-kumar.com/%23MeToo
Seed word: my name
“Christof's calling, inherently driven by passion, not expertise, is exactly what we need.”
I feel personally attacked
I tried it with my common username and this is what I got:
> Sometimes of course people need focused solitude. But it’s worth noting that introverts are several times more productive at socializing & creative problem solving #thenaroundcrafthire
Sounds like a great email signature to me.
They are handpicking tweets from this AI to lay down justification for AI lockdowns.
Best quote:
“Went through the logs for all the tweets generated by the app for this IP address and this is a classic case of handpicking samples for a confirmation bias. It’s shameful that people in elevated positions abuse such sampling biases to further ulterior agendas.”
https://twitter.com/an_open_mind/status/1284487376312709120?...
Hacker:
and
Great! So we have the ability to generate sentences that seem to make sense but have no real content or meaning.
It seems to be down (HTTP/2 503)
By the way, has somebody already tried to plug the posts from /r/WritingPrompts/ into GPT-3 and check the results?
I fed it with sentences from the Bulwer Lytonn contest with some success https://twitter.com/avi_eisen/status/1284924171215044608?s=2...
I actually submitted two of the sentences to the contest (it's 2 and 4 in the tweet I said 2 and 4 seemed winnable).
Watch the Twitter thread - I'll be adding stuff to it, going to check writingprompts now.
Wow, the one about the DNA is almost creepy how accurate it is. It even knows what an "ancestry site" is! Not to mention how consistent the story is.
I have a demo for /r/WritingPrompts/ titles (https://github.com/minimaxir/gpt-3-experiments/tree/master/e...), albeit not the generated output from that title.
Yes! There were some DDoS attacks. Had to add some rate limits through Cloudflare to address those. Been a rough week managing it.
Try now. Should be working fine.
https://twitter.com/sushant_kumar/status/1285207620530257920...
https://twitter.com/avi_eisen/status/1285183834636656640?s=2...
Looks like it is now being hugged to death. Here are the last two I could get out. On Music:
On Sex:
That last one is (maybe superficially) profound so I went looking for the source.
From a brief search I can't find anything sex-related (Only Anthony Bourdain talking about food wastage)
What are the chances this is a novel "thought"?
https://plagiarismdetector.net/ marks it as 100% plagiarized, albeit the source link is dead so I can't verify it.
Interestingly the other snippet - the one that appeared to be cribbed from a book review - is marked as plagiarized only to this thread :D
Does it make sense though? I don't see anything more profound than a logical contradiction.
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I gave it the nonsense prompt "cwqwndqnwf" five times. Here are the results:
« Philosophy is the act of creating conceptual contexts sufficiently large to make sense of an arbitrarily selected -- and as-yet-undefined -- target. (Starship/Library proxies: other, myself; hazelnut.) »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
« CWQWNDQNWF:C:Z. »
« Cwqwndqnwf pg pfnhuyktpudwxgoh okay. key: student tweet: Students take life too seriously. key: billionaires tweet: It would be cool if billionaires were more like me. »
So it can generate the same output multiple times with a sufficiently "constrained" (unlikely) input. It can also converge on something intelligible. But it's curious that it stays in the same track that long.
I had the same set of 4-5 tweets generated over and over again for my last name as well (which is fairly rare as far as names go).
Seed word: SingleFileZ (a project of mine [1])
"SingleFileZ is currently our most likely word to cause a neural apocalypse."
I'm thinking of using it as a punchline.
[1] https://github.com/gildas-lormeau/SingleFileZ
"Hong Kong reminds me of Singapore 15 years ago; full of vitality, faces a future of challenges".
“They say you can do anything you want in Hong Kong, as long as it's not in Hong Kong.”
That is a very nice aphorism, and a quick search doesn't yield prior occurrences of it. I'm impressed.
EDIT to add: I was flabbergasted that it had a Hong Kong theme (which resonates with me), until I realised that the submission (for whatever reason) seeds with Hong Kong by default...
EDIT to add: https://plagiarismdetector.net gives it a 100% unique, 0% plagiarism.
I got pretty scary results for my sideproject url. It felt like a human was there typing the response out.
Tried it with Google:
“I saw Google and we were never on speaking terms after that. All I wanted to do was take Google’s money.”
Nice one ;-)
"You have to pay for serverless which is why it won't matter"
"Serverless is like cloud computing, but better"
https://twitter.com/openfaas/status/1285141586121236480?s=20
Does anyone have any info as to how we can get access to GPT-3 so we can try it out?
Looks like the author did the following to get access to the API (rather than the model): "I wrote an email to Greg Brockman (gdb@openai.com) describing my use cases and projects that I planned to do with GPT-3. It got approved within hours."
> “Hong Kong people have a superhuman stamina to tolerate bullshit. Kudos.”
accurate
I don't get this at all. Tried 'free masons' and it gave me
Also a lot of stuff about startups. Why?
Probably the corpus it was trained on. I can only imagine whomever was collecting the data is in into that stuff, so they biased it a bit by collecting from accounts they know.
I put in the word "Saskatoon" (a city in Canada) and got back the tweet:
“Elon Musk's password: ida-qdbo-XXX-XXX-XXXX-XXXX” (redaction mine)
Should this be reported or... ?
Edit: added "redaction mine"
The server is in the process of being overwhelmed.
Here's the best tweet it generated for me: “Sex with very handsome and beautiful people is the best.”
I tried the word pigeon, surely an innocent word, and this was the first result:
“The cum of the patriarchy is highly concentrated power-giving semen.”
Seems to be down atm. Did it get the hug of death?
And we are back up.
“To do something innovative, identify something technically hard and do it.”
That seems about right
“Startups are churches for the non-religious.”
I like this one.
> “‘Barack Obama is a fine president’ – Peter Thiel on Joe Rogan interview”
Phew, AI has not won just yet :-)
> “I’m not trying to save Hong Kong, I’m not even Chinese. If anything, I’m a spambot.”
> “Belief can be a powerful virus, but so can doubt.”
WOW!
> “Money is the best product. Money does what you want.”
> “0.15 hr/day are not cannibals, they’re well balanced South African CEOs!”
Interesting ;)
For “love” — “The natural progression of love is from cruelty to boredom.”.
Seed word: Donald Trump
“If only stupidity wasn’t the key to Donald Trump’s plans.”
Seed word: Trump
“The best way to educate yourself about Donald Trump's incompetence is to spend twenty minutes reading the Wikipedia article on Donald Trump.”
Seed word: blm
“As a country, we are not ok. We’re not tolerant, we’re not kind, we’re not inclusive, we’re not respectful.”
I wonder which lists of twitter users they used for training.
Probably Blue Checkmarks, i.e. those whose identities and opinions have been verified.
A fun exercise would be to train one instance on Blue Checkmarks and another on a dump from Gab. Once trained these two instances can start their own private battle of words. Let it run for a few days and see how it devolves, then use the results to write an article on the futility of ideological battles on social media. Publish this article widely so that the populace may read it and come to their senses.
I'd love to see a version trained on individual subreddits (and HN separately). A bit like /r/subredditsimulator
For me it just returns the 3 same sentences over and over again.
I got one with a bitly link to a completely unrelated webpage
This GPT-3 thing is stupid random generator. I don't get the fuzz. This thing is a pattern generator, it doesnt understand things.
Input "Black People". Output
“Black people own twitter, it’s white people telling them what to tweet.”
I mean. You're putting in two words. What do you expect? If you walked up to a human randomly and said "black people," what do you think you'd get out? It wouldn't be this, but it wouldn't be a cogent rephrasing of Wikipedia either.
I got
................
Garbage in, garbage out, is unfortunately a fairly major problem with all of these things. If you train them on the public internet, they're going to become quite racist.
I think I prefer the related but much more benign phenomenon where they tend to write unexpected Harry Potter fanfiction: https://aiweirdness.com/post/189313008792/finest-pies
Uh oh. HN crashed the website again
"If we eliminate racism, the economy will crumble."
“Trump makes me grateful that we got rid of Obama, and not the other way around.”
Some tweets generated by this.
Also, got this when I gave it the word 'Naval'.
“If you’re risks aren’t totally unknown, they’re not big enough. The only way to the biggest risk possible is the unknown unknown.”
beba army
The use of blockchain technology can indeed solve many problems in the field of voting and scientific personnel questionnaire, and optimize the user experience of the survey service; the introduction in the white paper is relatively perfect
The use of blockchain technology can indeed solve many problems in the field of voting and scientific personnel questionnaire
The use of blockchain
blockchain
unicornios blancos
Messi