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Conspirador Norteño

@conspirator0

Jul 31, 2021 • 7 tweets • 7 min read • Read on X

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@diegorm222

If you've got $500 laying around that you can't wait to spend on something totally pointless, you could always snag @diegorm222 (ID 3314630561) or @ThatDubstepDJ (ID 398479839). It doesn't matter which one you buy since they basically have the same followers.

cc: @ZellaQuixote

@Cryptocurrentcc

A third account, @Cryptocurrentcc, shares nearly all of its followers with @diegorm222 and @ThatDubstepDJ. A total of 79647 accounts follow all three, comprising at least 96.7% of each main account's followers. Very few are new accounts, which is also unusual.

@diegorm222

.@diegorm222, @ThatDubstepDJ, and @Cryptocurrentcc are all older accounts that have been mostly purged of tweets prior to July 2021. Recent content is all cryptocurrency-themed. Despite their age, these three accounts gained almost all of their 80K-ish followers in summer 2021.

@diegorm222

The 79647 accounts that follow all three of @diegorm222, @ThatDubstepDJ, and @Cryptocurrentcc are mostly older, many of which had been silent for years until early 2021. Old tweets were sent via a variety of apps, while new tweets were mostly tweeted via the Twitter Web App.

The recent Twitter Web App traffic began abruptly in late April, and the content is quite repetitive. Many of the repetitive tweets are replies, which in some cases have posted verbatim by hundreds or thousands of accounts. Cryptocurrency is a recurring theme.

In addition to the repetitive tweets and replies, the accounts in this network also engage in retweeting, and they largely retweet the same accounts (mostly large Arabic-language accounts).

https://twitter.com/conspirator0/status/1408589182944124934

More on the follow order by creation date plots used in this analysis (including source code):

https://twitter.com/conspirator0/status/1408589182944124934

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More from @conspirator0

Conspirador Norteño

@conspirator0

Mar 8

Just for fun, I decided to search Amazon for books about cryptocurrency a couple days ago. The first result that popped up was a sponsored listing for a book series by an "author" with a GAN-generated face, "Scott Jenkins".

cc: @ZellaQuixote

Alleged author "Scott Jenkins" is allegedly published by publishing company Tigress Publishing, which also publishes two other authors with GAN-generated faces, "Morgan Reid" and "Susan Jeffries". (A fourth author uses a photo of unknown origin.)

As is the case with all unmodified StyleGAN-generated faces, the facial feature positioning is extremely consistent between the three alleged author images. This becomes obvious when the images are blended together.

Read 5 tweets

Conspirador Norteño

@conspirator0

Feb 8

The people in these Facebook posts have been carving intricate wooden sculptures and baking massive loaves of bread shaped like bunnies, but nobody appreciates their work. That's not surprising, since both the "people" and their "work" are AI-generated images.

cc: @ZellaQuixote

In the last several days, Facebook's algorithm has served me posts of this sort from 18 different accounts that recycle many of the same AI-generated images. Six of these accounts have been renamed at least once.

The AI-generated images posted by these accounts include the aforementioned sculptures, sad birthdays, soldiers holding up cardboard signs with spelling errors, and farm scenes.

The common element: some sort of emotional appeal to real humans viewing the content.

Read 7 tweets

Conspirador Norteño

@conspirator0

Jan 24

As Bluesky approaches 30 million users, people who run spam-for-hire operations are taking note. Here's a look at a network of fake Bluesky accounts associated with a spam operation that provides fake followers for multiple platforms.

cc: @ZellaQuixote

This fake follower network consists of 8070 Bluesky accounts created between Nov 30 and Dec 30, 2024. None has posted, although some have reposted here and there. Almost all of their biographies are in Portuguese, with the exception of a few whose biographies only contain emoji.

The accounts in this fake follower network use a variety of repeated or otherwise formulaic biographies, some of which are repeated dozens or hundred of times. Some of the biographies begin with unnecessary leading commas, and a few consist entirely of punctuation.

Read 8 tweets

Conspirador Norteño

@conspirator0

Jan 10

It's presently unclear why, but over the past year someone has created a network of fake Facebook accounts pretending to be employees of the Los Angeles Dodgers. Many of the accounts in this network have GAN-generated faces.

cc: @ZellaQuixote

This network consists of (at least) 80 Facebook accounts, 48 of which use StyleGAN-generated faces as profile images. The remaining 32 all use the same image, a real photograph of a random person sitting in an office.

As is the case with all unmodified StyleGAN-generated faces, the main facial features (especially the eyes) are in the same position on all 48 AI-generated faces used by the network. This anomaly becomes obvious when the faces are blended together.

Read 6 tweets

Conspirador Norteño

@conspirator0

Oct 18, 2024

None of these chefs exist, as they're all AI-generated images. This hasn't stopped them from racking up lots of engagement on Facebook by posting AI-generated images of food (and occasional thoughts and prayers), however.

cc: @ZellaQuixote

These "chefs" are part of a network of 18 Facebook pages with names like "Cook Fastly" and "Emily Recipes" that continually post AI-generated images of food. While many of these pages claim to be US-based, they are have admins in Morocco per Facebook's Page Transparency feature.

Between them, these 18 Facebook "chef" pages have posted AI-generated images of food at least 36,000 times in the last five months. Not all of the images are unique; many have been posted repeatedly, sometimes by more than one of the alleged chefs.

Read 7 tweets

Conspirador Norteño

@conspirator0

Sep 8, 2024

Can simple text generation bots keep sophisticated LLM chatbots like ChatGPT engaged indefinitely? The answer is yes, which has some potentially interesting implications for distinguishing between conversational chatbots and humans.

cc: @ZellaQuixote
conspirator0.substack.com/p/baiting-the-…

For this experiment, four simple chatbots were created:

• a bot that asks the same question over and over
• a bot that replies with random fragments of a work of fiction
• a bot that asks randomly generated questions
• a bot that repeatedly asks "what do you mean by <X>?"

The output of these chatbots was used as input to an LLM chatbot based on the 8B version of the Llama 3.1 model. Three of the four bots were successful at engaging the LLM chatbot in a 1000-message exchange; the only one that failed was the repetitive question bot.