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Funny, Memes
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Remember the AI bot that generates fictional people and writes hilarious first-person stories a la Humans of New York? Well, we just discovered its cousin.
However, instead of drawing portraits, this neural network creation called ResNeXtGuesser, analyzes popular memes and tells Twitter what it thinks it's looking at.
The project's anonymous creator, who goes by the pseudonym Glen Neumann, is a computer engineer based in San Jose, California, and has been having an absolute blast running the show.
Even though Neumann launched ResNeXtGuesser in June 2021, it already has 533K followers, so we decided to scroll through its feed and see what this huge buzz is all about. Here's what we saw.
More info: Twitter
This post may include affiliate links.
#1
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Nathaniel Nathaniel Community Member Follow
Pepe Le Pews next victims.
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#2
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
Oml THAT IS EXACTLY HOW I LOOK IN A SHEET MASK 😂💀
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You could say the roots of the project began to sprout when Neumann was still studying. "Throughout college, I took some courses related to machine learning, and I had a lot of assignments related to image recognition," he told Emerging Tech Brew. "For example, one assignment was to make and train a neural network that can differentiate [between] pictures of cats and dogs. But you can pass any image you want through a neural network, and I always found it super funny to pass through memes or any random image and watch the NN [neural network] try to classify it as a dog or cat."
#3
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Nathaniel Nathaniel Community Member Follow
That is an eggsellent prediction.
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#4
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Id row Id row Community Member Follow
tbf, that was a pretty low confidence rate.
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#5
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Geeki Nikki Geeki Nikki Community Member Follow
🔥
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In other assignments, he was dealing with more advanced neural networks like ResNeXt. "In doing the same thing, the results were rarely correct, but you could start to see how the neural network thinks, and I thought that was super interesting," he recalled. ADVERTIsem*nT "In some cases, you could identify what the machine was looking at and why it made its prediction (for example, the stacked cheese in this prediction really does look like the texture of a pineapple IMO)."
#6
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
Existential crisis
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#7
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dream of delusion dream of delusion Community Member Follow
eh, close enough
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#8
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
Toastingus
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After graduating, Neumann began working in the embedded world, so he didn't get a chance to play with machine learning anymore. That is until one seemingly uneventful evening. "I thought that making the NNGM Twitter bot would be a good chance to both mess with NNs again and learn how to use the Twitter API, so I got to work on it that weekend." And the rest is browsing history.
#9
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der sebbl der sebbl Community Member Follow
Not that far off
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#10
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
I can't think straight after Beesechurger
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#11
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
Forget the bot, can we humans predict what this is supposed to be?
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#12
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Olivia Lisbon Olivia Lisbon Community Member Follow
I mean…maybe?
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ResNeXt is considered to be a simple, highly modularized network architecture for image classification. "[I chose ResNeXt for my side project because it] was trained on the ImageNet data set, a huge assortment of labeled images with hundreds of classes," the computer engineer explained. "Each year, ImageNet has a competition among researchers to see who can make the most accurate NN. ResNeXt was the 2016 winner, having a better top-5 error percentage, beating even that of humans. When I saw that the Python library PyTorch had a pre-trained model for ResNeXt, and I wouldn't have to code it up and train it myself, it was an easy decision."
#13
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ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ Community Member Follow
what would posses you to do this
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#14
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Olivia Lisbon Olivia Lisbon Community Member Follow
Aw, he’s getting unsure of himself. Poor thing, you’re finally not that wrong!
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#15
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ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ Community Member Follow
omg what a hot stud 🥵🥵
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#16
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Commander OwO Commander OwO Community Member Follow
Siamese cats looks like they dipped their faces in chocolate!
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Neumann said it was a while before the bot picked up. "I would say that the first tweet to really take off was ... in October 2021, a picture of a plushie riding on top of a tank. The plushie is a character from the Touhou series, a video-game series with a cult following." ADVERTIsem*nT "There's a sizable Touhou fan community on Twitter, and that tweet found its way in there and blew up. After that, growth was very burst-y. Every now and then, the bot would produce a particularly funny prediction, which would get spread around, and the [account] would get a bunch of new followers all at once."
#17
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Olivia Lisbon Olivia Lisbon Community Member Follow
It dug deep for this guess…
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#18
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ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ Community Member Follow
glock a mole
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#19
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
So....mashed potavocango?
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When the account was still small, the number of submissions Neumann received for his tests was low enough to the point where he could look in his DMs and download each image manually. But that eventually changed and as the computer engineer started getting more and more pictures, he wrote a script to take some load off of him. And that wasn't the end of it, too. "Eventually there were too many submissions in the DMs for even my script to handle. Once that happened, I shut down submissions for a while so I could set up a website dedicated to submissions," he said. "By the time I got around to finishing the website, the account had exploded. I don’t remember how long I had the website up—maybe just a few weeks—but the amount of submissions I was getting was simply unmanageable. Even today, I still have a backlog of about 8,000 images [that] I have to look through and moderate." ADVERTIsem*nT
#20
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ᴀʟᴇxᴏᴛʟ_ᴛʜᴇɢʀᴇᴀᴛ Follow
ugh idiots it’s clearly a screwdriver
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#21
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Bruno Madrigal Bruno Madrigal Community Member Follow
Capybara! I think that's how you spell it...lemme ask Antonio
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#22
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
The last chihuahua has gone evil 🎃
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#23
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
Two extra thicc red balloons 😭
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Initially and ironically, Neumann hoped that the account "would show just how good neural networks can be." "Sure, it has a hard time getting the predictions right, but that's kind of to be expected when I'm feeding it totally nonsensical memes," he said. "What I love about the account is that sometimes you can see how the bot thinks, you can sometimes see why it made the prediction it did. And that, to me, is a little bit spooky."
#24
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YourAverageIdiot YourAverageIdiot Community Member Follow
I'm pretty sure that's a h o n s e
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#25
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Nathaniel Nathaniel Community Member Follow
Which part of the pic is it detecting a shopping cart? With others there is a shape and a suggestion at least. This is like, Bruh? Don't care no more. Shopping cart?
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#26
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Joseph Kuhlman Joseph Kuhlman Community Member Follow
Your politics bore me
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#27
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BAWK BAWK BAKAW BAWK BAWK BAKAW Community Member Follow
OMFG THAT THING IS TERRIFYING AND *GASP* ITS INSIDE MEEEEE
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Running the bot, Neumann's favorite moments are seeing people root for it and get excited when it makes a (somewhat) good prediction. "It's cute watching people personify a neural network, and celebrate it when it succeeds and chastise it when it fails. I understand that the NNGM Twitter bot may not be much more than a meme page with a twist, but watching people get excited over a robot predicting nonsensical memes really makes my day sometimes," he said.
#28
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DUN DUN (she/her) DUN DUN (she/her) Community Member Follow
The spicy, meaty kind of pretzel
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#29
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Nitro Codes Nitro Codes Community Member Follow
long snek
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#30
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Blobban Blobban Community Member Follow
Nice
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Rokas Laurinavičius
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YoyoSthlm YoyoSthlm Community Member Follow
Do we really want them to get smarter?
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Chinmayee Kalghatgi Chinmayee Kalghatgi Community Member Follow
I heard that scientists trained a robot to use a gun
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Eppe Eppe Community Member Follow
I had trouble guessing a lot of these images myself
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Res Earch Res Earch Community Member Follow
This is why people shouldn't be worried about computers taking over the world. Machines are not smart.
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Robert Benson Robert Benson Community Member Follow
That's what they WANT us to think
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YoyoSthlm YoyoSthlm Community Member Follow
Do we really want them to get smarter?
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Chinmayee Kalghatgi Chinmayee Kalghatgi Community Member Follow
I heard that scientists trained a robot to use a gun
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Eppe Eppe Community Member Follow
I had trouble guessing a lot of these images myself
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Res Earch Res Earch Community Member Follow
This is why people shouldn't be worried about computers taking over the world. Machines are not smart.
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Robert Benson Robert Benson Community Member Follow
That's what they WANT us to think
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