Janelle Shane is an AI researcher and the author of You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place. In one of her more recent AI experiments, she tasked the Dall-e neural network with trying to generate corporate restaurant logos with some … interesting results. — Read the rest

I find such uncomplicated joy in watching incompetent bots try to be like people, so I've been loving the Twitter account @ResNeXtGuesser, created by user @MKRiscy. Though the Twitter account has existed since June 2021, the tweets started exploding in popularity in the past month. — Read the rest

Research scientist Janelle Shane used GPT-3 to create new Christmas carols. My favorite is "Mild is Rudolph"

Now in 2020 we have GPT-3, trained on so much of the internet that my challenge is now to stop it from simply repeating carols that it has memorized.

Janelle Shane is an AI researcher. In this TED talk she explains that we should not be afraid that AIs are going to rebel against us. We should be afraid of AIs because they are going to do exactly what we tell them to do. — Read the rest

It's Inkotober, when "artists all over the world take on the Inktober drawing challenge by doing one ink drawing a day the entire month." In a fun experiment, Janelle Shane trained a neural net with prior Inktober prompts and picked out some promising concepts like "ornery beach sheep" and "BUG IN HUMAN SHAPE." — Read the rest

Janelle Shane, harbinger of the generative apocalypse, presents mutant fruit flies invented by a neural network: "Nothing to worry about."

I knew that fruit flies are a mainstay of research labs, but I had never given them much thought until Prof.

Michael Friesen generated these abominable pokemon sprites. Be sure to see a similar set hand-drawn by iguanamouth. [via Janelle Shane]

Here's a human illustrating some neural net-generated pokemon names and abilities. Humans earnestly engaging with AI bizarreness is one of my favorite things.

"Aw yeah it's time for cookies," writes AI ringmaster Janelle Shane (previously at BB).

One neural network I use, called textgenrnn, tries its best to imitate any kind of text you give it. I've given them paint colors, band names, and even guinea pig names and in each case their results are somewhat… mixed.

The theme of this year's Burning Man is I, Robot, which focuses "on the many forms of artificial intelligence that permeate our lives…" So, naturally, someone trained a neural network to come up with some camp names.

It spit out believable names like Spankles, Astro Sparkin, and Space Rock Screamin Camp, as well as weirder names like Corn Viral Hammers, Wiq Renames Spaghette, and Hellball Lounge. — Read the rest

Janelle Shane (previously) is a delightful AI researcher who likes to use machine learning systems to produce absurd, inhuman outputs, such as a list of AI-created notional ice-cream flavors generated by merging a list of real ice-cream flavors with a list of metal band names and pressing "go."

Janelle Shane of AI Weirdness is awesome: She's trained neural nets to invent all sorts of hilarious material, from the names of new colors to odd new food recipes to original Dungeons and Dragons spells.

Recently she decided to train a neural net on knitting patterns, and it began spitting out new ones. — Read the rest

In her delightful blog AI Weirdness, Janelle Shane entered 18,458 unique bills introduced in Massachusetts into a neural network, which then created some rather hilarious bills, including:

Janelle Shane‏ trained a neural network on the names and attributes of My Little Ponies, then shared "some of the worst ones."

I used a program called a character-level recurrent neural network (char-rnn), which looks at examples of text (Pokemon, or Harry Potter fan fiction, or even guinea pig names) and learns to imitate them.

Janelle Shane trained a recurrent neural network with a data-set of more than 2000 ancient proverbs and asked it to think up its own: "A fox smells it better than a fool's for a day."

Neural networks, it is said, cannot explain their decisions. Which is probably a good thing, at least when it comes to the machine mind's ideas for new Dungeons & Dragons spells, as guided by
Janelle Shane. [via Patrick Ziselberger‏]

It's a really small dataset, actually – so small that in almost no time at all, it learned to reproduce the original input data verbatim, in order.

Neural nets are starting to wake up. These pickup lines, generated by a neural net maintained by research scientist Janelle Shane are much more interesting than standard pickup lines.

Are you a 4loce? Because you're so hot!

I want to get my heart with you.

Research scientist Janelle Shane writes: "I've been training a neural network (based on this open-source neural network framework from Andrej Karpathy) on datasets from recipes, to lists of Pokemon, to superhero names. I decided to see if it could invent names for new fruit varieties – I fed it a list of apple, peach, pear, plum, and cherry varieties, and asked it to generate more." — Read the rest

In her spare time, University of California, San Diego engineer Janelle Shane trained a neural network to generate recipes for new dishes. Informed by its reading of existing recipes, the neural network did improve over time yet it's clearly not quite ready for Iron Chef. — Read the rest

Research scientist Janelle Shane has been training a neural network to generate food recipes by giving it tens of thousands of cookbook recipes. The neural net's recipes are excellent:

Beef Soup With Swamp Peef And Cheese

Chocolate Chops & Chocolate Chips

Crimm Grunk Garlic Cleas

Beasy Mist

Export Bean Spoons In Pie-Shell, Top If Spoon and Whip The Mustard

Chocolate Pickle Sauce

Whole Chicken Cookies

Salmon Beef Style Chicken Bottom

Star *

Cover Meats

Out Of Meat

Completely Meat Circle

Completely Meat Chocolate Pie

Cabbage Pot Cookies

Artichoke Gelatin Dogs

Crockpot Cold Water