Source.Plus is an image curation tool that allows you to explore and create image collections for AI training.

Turn PDFs into brainrot videos.

Use the power of AI for quick summarization and note taking, NotebookLM is your powerful virtual research assistant rooted in information you can trust.

Turn your want-to-read articles into rich audio summaries.

Explore new styles of music with Suno

Creativity Assistant 🐙 Think through, refine, and develop *any* new idea or project.

Think and act more creatively with Hep!🧑‍🎨✨ Skilled at helping you think through things, make more stuff, and enhance your process :)

Playful tools for a more creative life

all prompts, no code AI sandbox • build AI workflows, apps, chatbots & more

Dove is fighting racial and social injustice through the CROWN Act, the CROWN Fund and additional initiatives.

Wat als ik je vertelde… … dat een tekst op B1-niveau te moeilijk is voor de 2,5 miljoen laaggeletterden in Nederland. Gebruik daarom onze plugin

Flim helps you find the perfect image to express your ideas

Maybe you’re an engineer creating a new machine vision system to track birds. You might be a journalist using social media data to research Costa Rican households. You could be a researcher who stumbled upon your university’s archive of handwritten census cards from 1939. Or a designer creating a chatbot that relies on large language models like GPT-3. Perhaps you’re an artist experimenting with visual style combinations using DALLE-2. Or maybe you’re an activist with an urgent story that needs telling, and you’re searching for the right dataset to tell it.

We believe that a future of consenting data will benefit both AI development and the people it is trained on.

A toolkit for everyone about how AI replicates racial injustice in our society and what can be done about it

Hi, I'm Pi. I'm your personal AI, designed to be supportive, smart, and there for you anytime. Ask me for advice, for answers, or let's talk about whatever's on your mind.

💡 The perfect tool for inspiration!

I’m teaching Machine Learning at Pratt Institute’s School of Information this semester (syllabus here). For the first day of class, I wanted to have a sort of physical or paper-based exercise that demonstrates the concept of machine learning to people totally new to the subject. I experienced this non-computer-based approach to introducing computation through Zach Lieberman’s coding class at the School for Poetic Computation, where we started off by playing the Human Fax Machine Experiment which revolves around the concepts of encoding and decoding. How does one apply this approach to machine learning? There are some very intuitive digital introductory material that illustrate neural networks or decision trees, but I wanted something more tangible.

We are a non-profit creating more realistic and inclusive images of artificial intelligence. Visit our growing repository available for anyone to use for free under CC licences, or just to use as inspiration for more helpful and diverse representations of AI.