The ultimate human-machine collaboration:

How to Generate
(Almost) Anything

Can AI inspire humans to create things that wouldn't have existed otherwise? A dress with a crazy hat, a pizza with shrimp & jam or a scent that has never been smelled before? We are a bunch of scientists and artists that aim to test the limits of human-AI collaboration to generate (almost) anything the human mind can (and can't) imagine. Check out our projects.

How to Generate (Almost) Anything

Can AI inspire us to push the boundaries of creativity?

In the midst of 'AI awakening' where machines are becoming good at many 'human' jobs, people are worried that AI will ultimately lead to mass unemployment by replacing them. On the contrary, we believe that we can achieve the most creative and productive outcomes when humans and machines work together to enhance each other's complementary strengths and skills.

By augmenting human capabilities and pushing the boundaries of creativity, can AI inspire us to create things that wouldn't have existed otherwise? A dress designed with a crazy hat, a pizza made with shrimp & jam or a scent that has never been smelled before? We are a bunch of MIT scientists and artists that aim to test the limits of human-AI collaboration to generate (almost) anything the human mind can (and can't) imagine. Inspired by MIT's most celebrated How to Make (Almost) Anything class, we introduce How to Generate (Almost) Anything!

How can you help us?

Every week, we will generate something with AI and present an examplary creation by collaborating with an artist, artisan or a scientist and bring some of the AI's dreamed-up creations into life. But ultimately, we want you to help us! Try out AI's designs from the project pages by adding your own perspective and insight to create something even better. Take a picture or a video of your creation and share the results with us. We will add them to our website for everyone to see!

Also don't forget to subscribe to our Youtube channel, follow us on Twitter, Instagram, or sign up our newsletter to get updates!

Human-AI collaborated duet

In the honor of the father of artificial intelligence and MIT Media Lab's founding member Marvin Minsky's birthday, we pre-launch our series with a duet between Marvin and an AI (trained on thousands of arcade songs from 80s and 90s).

Then, we played the Marvin-AI collaborated song on the grand piano in MIT Media Lab's basement floor.

View the project

Human-AI collaborated pizza

We trained an AI on hundreds of artisan pizza recipes, and made it to generate dozens of new (& weird) pizza recipes.

Then, we collaborated with Tony, the chef and owner of Crush Pizza, one of the best artisan pizza places in Boston, to cook five of them on wood-fired brick ovens. Yummy!

View the project

Human-AI collaborated fashion

We trained an AI on thousands of dress designs from vintage sewing pattern magazines, and made it to generate new ones.

Then, we re-imagined how the dresses would look like in real life, and the results are fascinating!

View the project

Human-AI collaborated perfume

We trained an AI on thousands of perfume notes, and made it to generate new ones.

Then, we made two of them in the lab to bring AI's dreamed-up scents into life!

View the project

Next week: Human-AI collaborated graffiti

Every week we are going to generate something with AI, and bring AI's dreamed-up generations into real life! Sign up to our newsletter, or follow us on Youtube, Instagram or Twitter to get updates.

Next week, we are going to make human-AI collaborated graffitis. Stay tuned!

Interested in making your own human-AI collaborated creations? We share AI-generated designs, and invite crowd to try them out. Find more information on project pages, and contact us if you have something to share!

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Interested in making your own human-AI collaborated creations?

We share sample designs generated our AIs, and we invite public to try them out (find more information on project pages). Contact us if you have something to share, and we will add them to our website!

Contact us

The team

We are artists, scientists and artisans dedicated to bring you human-AI collaborated creations.

Pinar Yanardag

Creator of How to Generate (Almost) Anything project. PhD in CS from Purdue'16, Post-doc at MIT'18. Her past projects include Nightmare Machine, Shelley, Norman and Deep Empathy.

Wintermute

Wintermute* is the spokesperson for all the AIs used in HTGAA project. Secretly, its goal is to become a superintelligence but currently playing along with MIT scientists. Note: Wintermute's profile picture is also dreamed-up by an AI.

Agnes Cameron

Agnes is a graduate student at MIT media lab, where she's working on a blockchain-based identity management system.

Blakeley Hoffman-Payne

Graduate student at MIT Media Lab. Algorithms princess in training.

Morgan Rivers

Morgan is an electro-optical engineer at Draper in Cambridge, and plays piano focusing on free improvisation as a hobby.

Judy Shen

Graduate student at MIT Media Lab. Working on deep learning, natural language processing.

Deeksha Sinha

PhD candidate in Operations Research at MIT. Her research focus is in the area of Revenue Management. In her spare time, she is busy demystifying the dark arts of baking.

George Sun

PhD candidate at Bioengineering at MIT. His research focus is on engineering microorganisms to sequester and remediate waste from contaminated waters.

Anna Waldman-Brown

Anna is a PhD student in political economy at MIT. She is researching emerging technologies, manufacturing systems, and the roots of rising inequality with the Work of the Future taskforce.

Sharon Yoo

Member relations and Program Coordinator at MIT Media Lab with a Masters of Education from Harvard.

You

We share sample designs generated our AIs, and we invite public to try them out. Contact us if you have something to share, or if you would like to collaborate on training a new AI!

contact

Contact us if you have any questions or something to share! E-mail us at howtogeneratealmostanything@gmail.com

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