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AI & Art @ AULA Future Lab 2020

The big ol' resource list that they always say "This will be linked at the end of the presentation" but you can't find it later...

General Resources

What is AI?

AI 101: https://www.elementsofai.com/

Media Theory & AI Aesthetics

Marshall McLuhan "Understanding Media" (1964): http://courses.bloodedbythought.org/dti/wp-content/uploads/McLuhanMarshall_Understanding.Media_intro-ch1-LD.pdf

Lev Manovich, "AI Aesthetics" (2018): http://manovich.net/content/04-projects/153-ai-aesthetics/manovich.ai_aesthetics_2018.pdf

No-code tools

Curated list of AI art tools: https://aiartists.org/ai-generated-art-tools

Interactive examples from Google: https://experiments.withgoogle.com/collection/ai

Tons of models listed under "Create" at RunwayML (I think it's €€€ to use on their platform, though. Try Googling the model names to find them for free elsewhere): https://learn.runwayml.com/#/

Some-code tools

Janelle Shane's blog: https://aiweirdness.com/faq

Intro to Google Colab: https://colab.research.google.com/notebooks/intro.ipynb

Compute resources for training: https://spell.ml/

Good garbage: juicy data sets

Internet Archive: https://archive.org/index.php

Project Gutenberg via Internet Archive: https://archive.org/details/gutenberg

Kaggle: https://www.kaggle.com/datasets

Computer Vision datasets: https://lionbridge.ai/datasets/20-best-image-datasets-for-computer-vision/

My TEDTalks data set: https://raw.githubusercontent.com/lawreka/TED-ai/master/ted.txt

Machine vision, deep learning & GANs

How it do it

How deep dream works: https://computer.howstuffworks.com/google-deep-dream.htm

More on GANs: https://blog.eduonix.com/artificial-intelligence/grand-finale-applications-gans/

Plug and play

Deep dream generator: https://deepdreamgenerator.com/

Style transfer: https://www.artbreeder.com/

Play with pix2pix: https://affinelayer.com/pixsrv/

Examples

Adversarial fashion: https://adversarialfashion.com/

CV Dazzle: https://cvdazzle.com/

This X Does Not Exist: https://thisxdoesnotexist.com/

This foot does not exist: https://thisfootdoesnotexist.com/

Hoodwinkedfool on TikTok: https://www.tiktok.com/@hoodwinkedfool/video/6811675892213976325?lang=en

Deepfake lipsyncs: https://www.youtube.com/watch?v=1LSoyxKvkxg&t=26s

Text generation:

How it do it

In-depth how RNNs work: https://karpathy.github.io/2015/05/21/rnn-effectiveness/

No-code tools

Talk to Transformer: https://app.inferkit.com/demo

Write With Transformer: https://transformer.huggingface.co/doc/gpt2-large

More-code tools

GPT-2-Simple: https://github.com/minimaxir/gpt-2-simple

My tutorial on scraping text, using GPT-2 and Spell: https://towardsdatascience.com/the-magazine-that-writes-itself-243ad03e6504?gi=7945a87d9c99

Not AI but still interesting for generative text: https://www.tracery.io/

Examples

GPT-3 Guardian article: https://www.theguardian.com/commentisfree/2020/sep/08/robot-wrote-this-article-gpt-3

MONTAG.WTF: https://www.montag.wtf/

MONTAG.XYZ: https://www.montag.wtf/

Text to speech and music generation

Lyrebird: https://www.descript.com/lyrebird

Google Magenta: https://magenta.tensorflow.org/

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